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TDengine
提交 592ed087 编写于 作者: A Alex Duan
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Merge branch 'develop' into fix/TS-207-D

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.gitattributes 0 → 100644
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*.py linguist-detectable=false
.gitmodules
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...@@ -17,10 +17,3 @@ ...@@ -17,10 +17,3 @@
[submodule "src/plugins/taosadapter"] [submodule "src/plugins/taosadapter"]
path = src/plugins/taosadapter path = src/plugins/taosadapter
url = https://github.com/taosdata/taosadapter url = https://github.com/taosdata/taosadapter
[submodule "tests"]
path = tests
url = https://github.com/taosdata/tests
branch = develop
[submodule "examples/rust"]
path = examples/rust
url = https://github.com/songtianyi/tdengine-rust-bindings.git
Jenkinsfile2
浏览文件 @ 592ed087
...@@ -11,7 +11,11 @@ def sync_source() { ...@@ -11,7 +11,11 @@ def sync_source() {
sh ''' sh '''
cd ${WKC} cd ${WKC}
[ -f src/connector/grafanaplugin/README.md ] && rm -f src/connector/grafanaplugin/README.md > /dev/null || echo "failed to remove grafanaplugin README.md" [ -f src/connector/grafanaplugin/README.md ] && rm -f src/connector/grafanaplugin/README.md > /dev/null || echo "failed to remove grafanaplugin README.md"
git reset --hard >/dev/null git reset --hard
git fetch
cd ${WK}
git reset --hard
git fetch
''' '''
script { script {
if (env.CHANGE_TARGET == 'master') { if (env.CHANGE_TARGET == 'master') {
...@@ -37,64 +41,65 @@ def sync_source() { ...@@ -37,64 +41,65 @@ def sync_source() {
} }
} }
sh ''' sh '''
export TZ=Asia/Harbin
cd ${WKC} cd ${WKC}
git reset --hard
git remote prune origin git remote prune origin
[ -f src/connector/grafanaplugin/README.md ] && rm -f src/connector/grafanaplugin/README.md > /dev/null || echo "failed to remove grafanaplugin README.md" [ -f src/connector/grafanaplugin/README.md ] && rm -f src/connector/grafanaplugin/README.md > /dev/null || echo "failed to remove grafanaplugin README.md"
git pull >/dev/null git pull >/dev/null
git fetch origin +refs/pull/${CHANGE_ID}/merge
git checkout -qf FETCH_HEAD
git reset --hard
git clean -dfx git clean -dfx
git submodule update --init --recursive --remote
git submodule update --init --recursive
cd ${WK}
git reset --hard
'''
sh '''
cd ${WKCT}
git reset --hard
''' '''
script { script {
if (env.CHANGE_TARGET == 'master') { if (env.CHANGE_TARGET == 'master') {
sh ''' sh '''
cd ${WK} cd ${WK}
git checkout master git checkout master
cd ${WKCT}
git checkout master
''' '''
} else if (env.CHANGE_TARGET == '2.0') { } else if (env.CHANGE_TARGET == '2.0') {
sh ''' sh '''
cd ${WK} cd ${WK}
git checkout 2.0 git checkout 2.0
cd ${WKCT}
git checkout 2.0
''' '''
} else if (env.CHANGE_TARGET == '2.4') { } else if (env.CHANGE_TARGET == '2.4') {
sh ''' sh '''
cd ${WK} cd ${WK}
git checkout 2.4 git checkout 2.4
cd ${WKCT}
git checkout 2.4
''' '''
} else { } else {
sh ''' sh '''
cd ${WK} cd ${WK}
git checkout develop git checkout develop
cd ${WKCT}
git checkout develop
''' '''
} }
} }
sh ''' sh '''
export TZ=Asia/Harbin
cd ${WK} cd ${WK}
git pull >/dev/null git pull >/dev/null
git clean -dfx git clean -dfx
cd ${WKCT} '''
git pull >/dev/null script {
git clean -dfx if (env.CHANGE_URL =~ /\/TDengine\//) {
date sh '''
echo "match /TDengine/ repository"
cd ${WKC}
git fetch origin +refs/pull/${CHANGE_ID}/merge
git checkout -qf FETCH_HEAD
'''
} else if (env.CHANGE_URL =~ /\/TDinternal\//) {
sh '''
echo "match /TDinternal/ repository"
cd ${WK}
git fetch origin +refs/pull/${CHANGE_ID}/merge
git checkout -qf FETCH_HEAD
'''
} else {
sh '''
echo "unmatched reposiotry ${CHANGE_URL}"
'''
}
}
sh '''
cd ${WKC}
git submodule update --init --recursive
''' '''
} }
def pre_test() { def pre_test() {
...@@ -129,7 +134,6 @@ pipeline { ...@@ -129,7 +134,6 @@ pipeline {
environment{ environment{
WK = '/var/data/jenkins/workspace/TDinternal' WK = '/var/data/jenkins/workspace/TDinternal'
WKC = '/var/data/jenkins/workspace/TDinternal/community' WKC = '/var/data/jenkins/workspace/TDinternal/community'
WKCT = '/var/data/jenkins/workspace/TDinternal/community/tests'
LOGDIR = '/var/data/jenkins/workspace/log' LOGDIR = '/var/data/jenkins/workspace/log'
} }
stages { stages {
...@@ -248,7 +252,7 @@ pipeline { ...@@ -248,7 +252,7 @@ pipeline {
} }
parallel { parallel {
stage ('build worker08_arm32') { stage ('build worker08_arm32') {
agent {label " worker08_arm32 "} agent {label " worker08_arm32"}
steps { steps {
timeout(time: 20, unit: 'MINUTES') { timeout(time: 20, unit: 'MINUTES') {
pre_test() pre_test()
......
README-CN.md
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...@@ -317,7 +317,7 @@ TDengine 社区生态中也有一些非常友好的第三方连接器，可以 ...@@ -317,7 +317,7 @@ TDengine 社区生态中也有一些非常友好的第三方连接器，可以
TDengine 的测试框架和所有测试例全部开源。 TDengine 的测试框架和所有测试例全部开源。
点击 [这里](https://github.com/taosdata/tests/blob/develop/How-To-Run-Test-And-How-To-Add-New-Test-Case.md)，了解如何运行测试例和添加新的测试例。 点击 [这里](https://github.com/taosdata/TDengine/blob/develop/tests/How-To-Run-Test-And-How-To-Add-New-Test-Case.md)，了解如何运行测试例和添加新的测试例。
# 成为社区贡献者 # 成为社区贡献者
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README.md
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...@@ -349,7 +349,7 @@ The TDengine community has also kindly built some of their own connectors! Follo ...@@ -349,7 +349,7 @@ The TDengine community has also kindly built some of their own connectors! Follo
# How to run the test cases and how to add a new test case # How to run the test cases and how to add a new test case
TDengine's test framework and all test cases are fully open source. TDengine's test framework and all test cases are fully open source.
Please refer to [this document](https://github.com/taosdata/tests/blob/develop/How-To-Run-Test-And-How-To-Add-New-Test-Case.md) for how to run test and develop new test case. Please refer to [this document](https://github.com/taosdata/TDengine/blob/develop/tests/How-To-Run-Test-And-How-To-Add-New-Test-Case.md) for how to run test and develop new test case.
# TDengine Roadmap # TDengine Roadmap
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documentation20/cn/05.insert/docs.md
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...@@ -26,7 +26,7 @@ INSERT INTO d1001 VALUES (1538548685000, 10.3, 219, 0.31) (1538548695000, 12.6, ...@@ -26,7 +26,7 @@ INSERT INTO d1001 VALUES (1538548685000, 10.3, 219, 0.31) (1538548695000, 12.6,
**Tips:** **Tips:**
- 要提高写入效率，需要批量写入。一批写入的记录条数越多，插入效率就越高。但一条记录不能超过 16K，一条 SQL 语句总长度不能超过 1M 。 - 要提高写入效率，需要批量写入。一批写入的记录条数越多，插入效率就越高。但一条记录不能超过 48K（2.1.7.0 之前的版本为 16K），一条 SQL 语句总长度不能超过 1M 。
- TDengine 支持多线程同时写入，要进一步提高写入速度，一个客户端需要打开 20 个以上的线程同时写。但线程数达到一定数量后，无法再提高，甚至还会下降，因为线程频繁切换，带来额外开销。 - TDengine 支持多线程同时写入，要进一步提高写入速度，一个客户端需要打开 20 个以上的线程同时写。但线程数达到一定数量后，无法再提高，甚至还会下降，因为线程频繁切换，带来额外开销。
- 对同一张表，如果新插入记录的时间戳已经存在，默认情形下（UPDATE=0）新记录将被直接抛弃，也就是说，在一张表里，时间戳必须是唯一的。如果应用自动生成记录，很有可能生成的时间戳是一样的，这样，成功插入的记录条数会小于应用插入的记录条数。如果在创建数据库时使用了 UPDATE 1 选项，插入相同时间戳的新记录将覆盖原有记录。 - 对同一张表，如果新插入记录的时间戳已经存在，默认情形下（UPDATE=0）新记录将被直接抛弃，也就是说，在一张表里，时间戳必须是唯一的。如果应用自动生成记录，很有可能生成的时间戳是一样的，这样，成功插入的记录条数会小于应用插入的记录条数。如果在创建数据库时使用了 UPDATE 1 选项，插入相同时间戳的新记录将覆盖原有记录。
- 写入的数据的时间戳必须大于当前时间减去配置参数 keep 的时间。如果 keep 配置为3650天，那么无法写入比 3650 天还早的数据。写入数据的时间戳也不能大于当前时间加配置参数 days。如果 days 为 2，那么无法写入比当前时间还晚2天的数据。 - 写入的数据的时间戳必须大于当前时间减去配置参数 keep 的时间。如果 keep 配置为3650天，那么无法写入比 3650 天还早的数据。写入数据的时间戳也不能大于当前时间加配置参数 days。如果 days 为 2，那么无法写入比当前时间还晚2天的数据。
...@@ -103,7 +103,7 @@ st,t1=3,t2=4,t3=t3 c1=3i64,c3="passit",c2=false,c4=4f64 1626006833639000000 ...@@ -103,7 +103,7 @@ st,t1=3,t2=4,t3=t3 c1=3i64,c3="passit",c2=false,c4=4f64 1626006833639000000
<br/>8. 整个处理过程中遇到的错误会中断写入过程，并返回错误代码。 <br/>8. 整个处理过程中遇到的错误会中断写入过程，并返回错误代码。
**备注：** **备注：**
<br/>无模式所有的处理逻辑，仍会遵循 TDengine 对数据结构的底层限制，例如每行数据的总长度不能超过 16k 字节。这方面的具体限制约束请参见 [TAOS SQL 边界限制](https://www.taosdata.com/cn/documentation/taos-sql#limitation) 章节。 <br/>无模式所有的处理逻辑，仍会遵循 TDengine 对数据结构的底层限制，例如每行数据的总长度不能超过 48K 字节（2.1.7.0 之前的版本为 16K）。这方面的具体限制约束请参见 [TAOS SQL 边界限制](https://www.taosdata.com/cn/documentation/taos-sql#limitation) 章节。
**时间分辨率识别** **时间分辨率识别**
<br/>无模式写入过程中支持三个指定的模式，具体如下 <br/>无模式写入过程中支持三个指定的模式，具体如下
......
documentation20/cn/11.administrator/docs.md
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...@@ -1839,11 +1839,11 @@ rmtaos ...@@ -1839,11 +1839,11 @@ rmtaos
去掉了 ```‘“`\``` (单双引号、撇号、反斜杠、空格) 去掉了 ```‘“`\``` (单双引号、撇号、反斜杠、空格)
- 数据库名：不能包含“.”以及特殊字符，不能超过 32 个字符 - 数据库名：不能包含“.”以及特殊字符，不能超过 32 个字符
- 表名：不能包含“.”以及特殊字符，与所属数据库名一起，不能超过 192 个字符，每行数据最大长度 16k 个字符 - 表名：不能包含“.”以及特殊字符，与所属数据库名一起，不能超过 192 个字符。每行数据最大长度 48K 个字符（2.1.7.0 之前的版本为 16K，每个 BINARY/NCHAR 类型的列还会额外占用 2 个 byte 的存储位置）
- 表的列名：不能包含特殊字符，不能超过 64 个字符 - 表的列名：不能包含特殊字符，不能超过 64 个字符
- 数据库名、表名、列名，都不能以数字开头，合法的可用字符集是“英文字符、数字和下划线” - 数据库名、表名、列名，都不能以数字开头，合法的可用字符集是“英文字符、数字和下划线”
- 表的列数：不能超过 1024 列，最少需要 2 列，第一列必须是时间戳（从 2.1.7.0 版本开始，改为最多支持 4096 列） - 表的列数：不能超过 1024 列，最少需要 2 列，第一列必须是时间戳（从 2.1.7.0 版本开始，改为最多支持 4096 列）
- 记录的最大长度：包括时间戳 8 byte，不能超过 16KB（每个 BINARY/NCHAR 类型的列还会额外占用 2 个 byte 的存储位置） - 记录的最大长度：包括时间戳 8 byte，不能超过 48KB（2.1.7.0 之前的版本为 16K，每个 BINARY/NCHAR 类型的列还会额外占用 2 个 byte 的存储位置）
- 单条 SQL 语句默认最大字符串长度：1048576 byte，但可通过系统配置参数 maxSQLLength 修改，取值范围 65480 ~ 1048576 byte - 单条 SQL 语句默认最大字符串长度：1048576 byte，但可通过系统配置参数 maxSQLLength 修改，取值范围 65480 ~ 1048576 byte
- 数据库副本数：不能超过 3 - 数据库副本数：不能超过 3
- 用户名：不能超过 23 个 byte - 用户名：不能超过 23 个 byte
......
documentation20/cn/12.taos-sql/docs.md
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...@@ -172,7 +172,7 @@ CREATE DATABASE db_name PRECISION 'ns'; ...@@ -172,7 +172,7 @@ CREATE DATABASE db_name PRECISION 'ns';
2) 表名最大长度为 192； 2) 表名最大长度为 192；
3) 表的每行长度不能超过 16k 个字符;（注意：每个 BINARY/NCHAR 类型的列还会额外占用 2 个字节的存储位置） 3) 表的每行长度不能超过 48K 个字符（2.1.7.0 之前的版本为 16K，每个 BINARY/NCHAR 类型的列还会额外占用 2 个 byte 的存储位置）
4) 子表名只能由字母、数字和下划线组成，且不能以数字开头，不区分大小写 4) 子表名只能由字母、数字和下划线组成，且不能以数字开头，不区分大小写
...@@ -346,7 +346,7 @@ CREATE DATABASE db_name PRECISION 'ns'; ...@@ -346,7 +346,7 @@ CREATE DATABASE db_name PRECISION 'ns';
```mysql ```mysql
ALTER STABLE stb_name ADD TAG new_tag_name tag_type; ALTER STABLE stb_name ADD TAG new_tag_name tag_type;
``` ```
为 STable 增加一个新的标签，并指定新标签的类型。标签总数不能超过 128 个，总长度不超过 16k 个字符。 为 STable 增加一个新的标签，并指定新标签的类型。标签总数不能超过 128 个，总长度不超过 16K 个字符。
- **删除标签** - **删除标签**
...@@ -1732,9 +1732,9 @@ SELECT AVG(current), MAX(current), APERCENTILE(current, 50) FROM meters ...@@ -1732,9 +1732,9 @@ SELECT AVG(current), MAX(current), APERCENTILE(current, 50) FROM meters
## <a class="anchor" id="limitation"></a>TAOS SQL 边界限制 ## <a class="anchor" id="limitation"></a>TAOS SQL 边界限制
- 数据库名最大长度为 32。 - 数据库名最大长度为 32。
- 表名最大长度为 192，每行数据最大长度 16k 个字符, 从 2.1.7.0 版本开始，每行数据最大长度 48k 个字符（注意：数据行内每个 BINARY/NCHAR 类型的列还会额外占用 2 个字节的存储位置）。 - 表名最大长度为 192。每行数据最大长度 48K 个字符（2.1.7.0 之前的版本为 16K，每个 BINARY/NCHAR 类型的列还会额外占用 2 个 byte 的存储位置）
- 列名最大长度为 64，最多允许 1024 列，最少需要 2 列，第一列必须是时间戳。（从 2.1.7.0 版本开始，改为最多允许 4096 列） - 列名最大长度为 64，最多允许 1024 列，最少需要 2 列，第一列必须是时间戳。（从 2.1.7.0 版本开始，改为最多允许 4096 列）
- 标签名最大长度为 64，最多允许 128 个，可以 1 个，一个表中标签值的总长度不超过 16k 个字符。 - 标签名最大长度为 64，最多允许 128 个，可以 1 个，一个表中标签值的总长度不超过 16K 个字符。
- SQL 语句最大长度 1048576 个字符，也可通过客户端配置参数 maxSQLLength 修改，取值范围 65480 ~ 1048576。 - SQL 语句最大长度 1048576 个字符，也可通过客户端配置参数 maxSQLLength 修改，取值范围 65480 ~ 1048576。
- SELECT 语句的查询结果，最多允许返回 1024 列（语句中的函数调用可能也会占用一些列空间），超限时需要显式指定较少的返回数据列，以避免语句执行报错。（从 2.1.7.0 版本开始，改为最多允许 4096 列） - SELECT 语句的查询结果，最多允许返回 1024 列（语句中的函数调用可能也会占用一些列空间），超限时需要显式指定较少的返回数据列，以避免语句执行报错。（从 2.1.7.0 版本开始，改为最多允许 4096 列）
- 库的数目，超级表的数目、表的数目，系统不做限制，仅受系统资源限制。 - 库的数目，超级表的数目、表的数目，系统不做限制，仅受系统资源限制。
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documentation20/en/05.insert/docs.md
浏览文件 @ 592ed087
...@@ -26,7 +26,7 @@ For the SQL INSERT Grammar, please refer to [Taos SQL insert](https://www.taosd ...@@ -26,7 +26,7 @@ For the SQL INSERT Grammar, please refer to [Taos SQL insert](https://www.taosd
**Tips:** **Tips:**
- To improve writing efficiency, batch writing is required. The more records written in a batch, the higher the insertion efficiency. However, a record size cannot exceed 16K, and the total length of an SQL statement cannot exceed 64K (it can be configured by parameter maxSQLLength, and the maximum can be configured to 1M). - To improve writing efficiency, batch writing is required. The more records written in a batch, the higher the insertion efficiency. However, a record size cannot exceed 48K (it's 16K prior to 2.1.7.0, and the total length of an SQL statement cannot exceed 64K (it can be configured by parameter maxSQLLength, and the maximum can be configured to 1M).
- TDengine supports multi-thread parallel writing. To further improve writing speed, a client needs to open more than 20 threads to write parallelly. However, after the number of threads reaches a certain threshold, it cannot be increased or even become decreased, because too much thread switching brings extra overhead. - TDengine supports multi-thread parallel writing. To further improve writing speed, a client needs to open more than 20 threads to write parallelly. However, after the number of threads reaches a certain threshold, it cannot be increased or even become decreased, because too much thread switching brings extra overhead.
- For the same table, if the timestamp of a newly inserted record already exists, the new record will be discarded as default (database option update = 0), that is, the timestamp must be unique in a table. If an application automatically generates records, it is very likely that the generated timestamps will be the same, so the number of records successfully inserted will be smaller than the number of records the application try to insert. If you use UPDATE 1 option when creating a database, inserting a new record with the same timestamp will overwrite the original record. - For the same table, if the timestamp of a newly inserted record already exists, the new record will be discarded as default (database option update = 0), that is, the timestamp must be unique in a table. If an application automatically generates records, it is very likely that the generated timestamps will be the same, so the number of records successfully inserted will be smaller than the number of records the application try to insert. If you use UPDATE 1 option when creating a database, inserting a new record with the same timestamp will overwrite the original record.
- The timestamp of written data must be greater than the current time minus the time of configuration parameter keep. If keep is configured for 3650 days, data older than 3650 days cannot be written. The timestamp for writing data cannot be greater than the current time plus configuration parameter days. If days is configured to 2, data 2 days later than the current time cannot be written. - The timestamp of written data must be greater than the current time minus the time of configuration parameter keep. If keep is configured for 3650 days, data older than 3650 days cannot be written. The timestamp for writing data cannot be greater than the current time plus configuration parameter days. If days is configured to 2, data 2 days later than the current time cannot be written.
...@@ -95,7 +95,7 @@ After MD5 value "md5_val" calculated using the above string, prefix "t_" is prep ...@@ -95,7 +95,7 @@ After MD5 value "md5_val" calculated using the above string, prefix "t_" is prep
<br/>8. If any error occurs during processing, error code will be returned. <br/>8. If any error occurs during processing, error code will be returned.
**Note** **Note**
<br/>Schemaless will follow TDengine data structure limitations. For example, each table row cannot exceed 16KB. For detailed TDengine limitations please refer to `https://www.taosdata.com/en/documentation/taos-sql#limitation`. <br/>Schemaless will follow TDengine data structure limitations. For example, each table row cannot exceed 48KB (it's 16K prior to 2.1.7.0. For detailed TDengine limitations please refer to `https://www.taosdata.com/en/documentation/taos-sql#limitation`.
**Timestamp precisions** **Timestamp precisions**
<br/>Following protocols are supported in Schemaless: <br/>Following protocols are supported in Schemaless:
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documentation20/en/11.administrator/docs.md
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...@@ -91,12 +91,12 @@ Only some important configuration parameters are listed below. For more paramete ...@@ -91,12 +91,12 @@ Only some important configuration parameters are listed below. For more paramete
- firstEp: end point of the first dnode which will be connected in the cluster when taosd starts, the default value is localhost: 6030. - firstEp: end point of the first dnode which will be connected in the cluster when taosd starts, the default value is localhost: 6030.
- fqdn: FQDN of the data node, which defaults to the first hostname configured by the operating system. If you want to access via IP address directly, you can set it to the IP address of the node. - fqdn: FQDN of the data node, which defaults to the first hostname configured by the operating system. If you want to access via IP address directly, you can set it to the IP address of the node.
- serverPort: the port number of the external service after taosd started, the default value is 6030. - serverPort: the port number of the external service after taosd started, the default value is 6030.
- httpPort: the port number used by the RESTful service to which all HTTP requests (TCP) require a query/write request. The default value is 6041. Note 2.4 and later version use a stand-alone software, taosAdapter to provide RESTFul interface. - httpPort: the port number used by the RESTful service to which all HTTP requests (TCP) require a query/write request. The default value is 6041. Note 2.4 and later version use a stand-alone software, taosAdapter to provide RESTful interface.
- dataDir: the data file directory to which all data files will be written. `Default:/var/lib/taos`. - dataDir: the data file directory to which all data files will be written. `Default:/var/lib/taos`.
- logDir: the log file directory to which the running log files of the client and server will be written. `Default:/var/log/taos`. - logDir: the log file directory to which the running log files of the client and server will be written. `Default:/var/log/taos`.
- arbitrator: the end point of the arbitrator in the system; the default value is null. - arbitrator: the end point of the arbitrator in the system; the default value is null.
- role: optional role for dnode. 0-any; it can be used as an mnode and to allocate vnodes; 1-mgmt; It can only be an mnode, but not to allocate vnodes; 2-dnode; cannot be an mnode, only vnode can be allocated - role: optional role for dnode. 0-any; it can be used as an mnode and to allocate vnodes; 1-mgmt; It can only be an mnode, but not to allocate vnodes; 2-dnode; cannot be an mnode, only vnode can be allocated
- debugFlage: run the log switch. 131 (output error and warning logs), 135 (output error, warning, and debug logs), 143 (output error, warning, debug, and trace logs). Default value: 131 or 135 (different modules have different default values). - debugFlags: run the log switch. 131 (output error and warning logs), 135 (output error, warning, and debug logs), 143 (output error, warning, debug, and trace logs). Default value: 131 or 135 (different modules have different default values).
- numOfLogLines: the maximum number of lines allowed for a single log file. Default: 10,000,000 lines. - numOfLogLines: the maximum number of lines allowed for a single log file. Default: 10,000,000 lines.
- logKeepDays: the maximum retention time of the log file. When it is greater than 0, the log file will be renamed to taosdlog.xxx, where xxx is the timestamp of the last modification of the log file in seconds. Default: 0 days. - logKeepDays: the maximum retention time of the log file. When it is greater than 0, the log file will be renamed to taosdlog.xxx, where xxx is the timestamp of the last modification of the log file in seconds. Default: 0 days.
- maxSQLLength: the maximum length allowed for a single SQL statement. Default: 65380 bytes. - maxSQLLength: the maximum length allowed for a single SQL statement. Default: 65380 bytes.
...@@ -495,7 +495,7 @@ You can configure different data directories and log directories by modifying sy ...@@ -495,7 +495,7 @@ You can configure different data directories and log directories by modifying sy
- Table column name: cannot contain special characters, and cannot exceed 64 characters - Table column name: cannot contain special characters, and cannot exceed 64 characters
- Database name, table name, column name cannot begin with a number - Database name, table name, column name cannot begin with a number
- Number of columns in table: cannot exceed 1024 columns - Number of columns in table: cannot exceed 1024 columns
- Maximum length of record: including 8 bytes as timestamp, no more than 16KB (each column of BINARY/NCHAR type will occupy an additional 2 bytes of storage location) - Maximum length of record: including 8 bytes as timestamp, no more than 48K bytes (it's 16K bytes prior to 2.1.7.0. each column of BINARY/NCHAR type will occupy an additional 2 bytes of storage location)
- Default maximum string length for a single SQL statement: 65480 bytes - Default maximum string length for a single SQL statement: 65480 bytes
- Number of database replicas: no more than 3 - Number of database replicas: no more than 3
- User name: no more than 23 bytes - User name: no more than 23 bytes
......
documentation20/en/12.taos-sql/docs.md
浏览文件 @ 592ed087
...@@ -34,7 +34,7 @@ With TDengine, the most important thing is timestamp. When creating and insertin ...@@ -34,7 +34,7 @@ With TDengine, the most important thing is timestamp. When creating and insertin
- Time Format: 'YYYY-MM-DD HH:mm:ss.MS', default in milliseconds. For example,'2017-08-12 18:52:58.128' - Time Format: 'YYYY-MM-DD HH:mm:ss.MS', default in milliseconds. For example,'2017-08-12 18:52:58.128'
- Internal Function **now** : this is the current time of the server - Internal Function **now** : this is the current time of the server
- When inserting a record, if timestamp is NOW, then use the server current time. - When inserting a record, if timestamp is NOW, then use the server current time.
- Epch Time: a timestamp value can also be a long integer representing milliseconds since 1970-01-01 08:00:00.000. - Epoch Time: a timestamp value can also be a long integer representing milliseconds since 1970-01-01 08:00:00.000.
- Arithmetic operations can be applied to timestamp. For example: now-2h represents a timestamp which is 2 hours ago from the current server time. Units include u( microsecond), a (milliseconds), s (seconds), m (minutes), h (hours), d (days), w (weeks). In `select * from t1 where ts > now-2w and ts <= now-1w`, which queries data of the whole week before two weeks. To specify the interval of down sampling, you can also use n(calendar month) and y(calendar year) as time units. - Arithmetic operations can be applied to timestamp. For example: now-2h represents a timestamp which is 2 hours ago from the current server time. Units include u( microsecond), a (milliseconds), s (seconds), m (minutes), h (hours), d (days), w (weeks). In `select * from t1 where ts > now-2w and ts <= now-1w`, which queries data of the whole week before two weeks. To specify the interval of down sampling, you can also use n(calendar month) and y(calendar year) as time units.
TDengine's timestamp is set to millisecond accuracy by default. Microsecond/nanosecond accuracy can be set using CREATE DATABASE with PRECISION parameter. (Nanosecond resolution is supported from version 2.1.5.0 onwards.) TDengine's timestamp is set to millisecond accuracy by default. Microsecond/nanosecond accuracy can be set using CREATE DATABASE with PRECISION parameter. (Nanosecond resolution is supported from version 2.1.5.0 onwards.)
...@@ -44,13 +44,13 @@ In TDengine, the following 10 data types can be used in data model of an ordinar ...@@ -44,13 +44,13 @@ In TDengine, the following 10 data types can be used in data model of an ordinar
| | **Data Type** | **Bytes** | **Note** | | | **Data Type** | **Bytes** | **Note** |
| ---- | ------------- | --------- | ------------------------------------------------------------ | | ---- | ------------- | --------- | ------------------------------------------------------------ |
| 1 | TIMESTAMP | 8 | Time stamp. Default in milliseconds, and support microseconds. Starting from 1970-01-01 00:00:00. 000 (UTC/GMT), the timing cannot be earlier than this time. | | 1 | TIMESTAMP | 8 | Time stamp. Default in milliseconds, and support microseconds. Starting from 1970-01-01 00:00:00. 000 (UTC/GMT), the timing cannot be earlier than this time. |
| 2 | INT | 4 | A nullable integer type with a range of [-2^31+1, 2^31-1 ] | | 2 | INT | 4 | A null-able integer type with a range of [-2^31+1, 2^31-1 ] |
| 3 | BIGINT | 8 | A nullable integer type with a range of [-2^59, 2^59 ] | | 3 | BIGINT | 8 | A null-able integer type with a range of [-2^59, 2^59 ] |
| 4 | FLOAT | 4 | A standard nullable float type with 6 -7 significant digits and a range of [-3.4E38, 3.4E38] | | 4 | FLOAT | 4 | A standard null-able float type with 6 -7 significant digits and a range of [-3.4E38, 3.4E38] |
| 5 | DOUBLE | 8 | A standard nullable double float type with 15-16 significant digits and a range of [-1.7E308, 1.7E308] | | 5 | DOUBLE | 8 | A standard null-able double float type with 15-16 significant digits and a range of [-1.7E308, 1.7E308] |
| 6 | BINARY | Custom | Used to record ASCII strings. Theoretically, the maximum length can be 16,374 bytes, but since each row of data can be up to 16K bytes, the actual limit is generally smaller than the theoretical value. Binary only supports string input, and single quotation marks are used at both ends of the string, otherwise all English will be automatically converted to lowercase. When using, the size must be specified. For example, binary (20) defines a string with a maximum length of 20 characters, and each character occupies 1 byte of storage space. In this case, if the user string exceeds 20 bytes, an error will be reported. For single quotation marks in strings, they can be represented by escape character backslash plus single quotation marks, that is\ '. | | 6 | BINARY | Custom | Used to record ASCII strings. Theoretically, the maximum length can be 16,374 bytes, but since each row of data can be up to 16K bytes, the actual limit is generally smaller than the theoretical value. Binary only supports string input, and single quotation marks are used at both ends of the string, otherwise all English will be automatically converted to lowercase. When using, the size must be specified. For example, binary (20) defines a string with a maximum length of 20 characters, and each character occupies 1 byte of storage space. In this case, if the user string exceeds 20 bytes, an error will be reported. For single quotation marks in strings, they can be represented by escape character backslash plus single quotation marks, that is\ '. |
| 7 | SMALLINT | 2 | A nullable integer type with a range of [-32767, 32767] | | 7 | SMALLINT | 2 | A null-able integer type with a range of [-32767, 32767] |
| 8 | TINYINT | 1 | A nullable integer type with a range of [-127, 127] | | 8 | TINYINT | 1 | A null-able integer type with a range of [-127, 127] |
| 9 | BOOL | 1 | Boolean type，{true, false} | | 9 | BOOL | 1 | Boolean type，{true, false} |
| 10 | NCHAR | Custom | Used to record non-ASCII strings, such as Chinese characters. Each nchar character takes up 4 bytes of storage space. Single quotation marks are used at both ends of the string, and escape characters are required for single quotation marks in the string, that is \’. When nchar is used, the string size must be specified. A column of type nchar (10) indicates that the string of this column stores up to 10 nchar characters, which will take up 40 bytes of space. If the length of the user string exceeds the declared length, an error will be reported. | | 10 | NCHAR | Custom | Used to record non-ASCII strings, such as Chinese characters. Each nchar character takes up 4 bytes of storage space. Single quotation marks are used at both ends of the string, and escape characters are required for single quotation marks in the string, that is \’. When nchar is used, the string size must be specified. A column of type nchar (10) indicates that the string of this column stores up to 10 nchar characters, which will take up 40 bytes of space. If the length of the user string exceeds the declared length, an error will be reported. |
| 11 | JSON | | Json type，only support for tag | | 11 | JSON | | Json type，only support for tag |
...@@ -147,7 +147,7 @@ Note: ...@@ -147,7 +147,7 @@ Note:
Note: Note:
1. The first field must be a timestamp, and system will set it as the primary key; 1. The first field must be a timestamp, and system will set it as the primary key;
2. The max length of table name is 192; 2. The max length of table name is 192;
3. The length of each row of the table cannot exceed 16k characters; 3. The length of each row of the table cannot exceed 48K (it's 16K prior to 2.1.7.0) characters;
4. Sub-table names can only consist of letters, numbers, and underscores, and cannot begin with numbers 4. Sub-table names can only consist of letters, numbers, and underscores, and cannot begin with numbers
5. If the data type binary or nchar is used, the maximum number of bytes should be specified, such as binary (20), which means 20 bytes; 5. If the data type binary or nchar is used, the maximum number of bytes should be specified, such as binary (20), which means 20 bytes;
...@@ -186,7 +186,7 @@ Note: ...@@ -186,7 +186,7 @@ Note:
- **Show all data table information under the current database** - **Show all data table information under the current database**
```mysql ```mysql
SHOW TABLES [LIKE tb_name_wildcar]; SHOW TABLES [LIKE tb_name_wildcard];
``` ```
Show all data table information under the current database. Show all data table information under the current database.
Note: Wildcard characters can be used to match names in like. The maximum length of this wildcard character string cannot exceed 24 bytes. Note: Wildcard characters can be used to match names in like. The maximum length of this wildcard character string cannot exceed 24 bytes.
...@@ -236,7 +236,7 @@ Note: In 2.0.15.0 and later versions, STABLE reserved words are supported. That ...@@ -236,7 +236,7 @@ Note: In 2.0.15.0 and later versions, STABLE reserved words are supported. That
1. Data types of TAGS column cannot be timestamp; 1. Data types of TAGS column cannot be timestamp;
2. No duplicated TAGS column names; 2. No duplicated TAGS column names;
3. Reversed word cannot be used as a TAGS column name; 3. Reversed word cannot be used as a TAGS column name;
4. The maximum number of TAGS is 128, and at least 1 TAG allowed, with a total length of no more than 16k characters. 4. The maximum number of TAGS is 128, and at least 1 TAG allowed, with a total length of no more than 16K characters.
- **Drop a STable** - **Drop a STable**
...@@ -409,7 +409,7 @@ SELECT select_expr [, select_expr ...] ...@@ -409,7 +409,7 @@ SELECT select_expr [, select_expr ...]
#### SELECT Clause #### SELECT Clause
A select clause can be a subquery of UNION and another query. A select clause can be a sub-query of UNION and another query.
#### Wildcard character #### Wildcard character
...@@ -532,7 +532,7 @@ However, renaming for one single column is not supported for `first(*)`,`last(*) ...@@ -532,7 +532,7 @@ However, renaming for one single column is not supported for `first(*)`,`last(*)
#### List of STable #### List of STable
The `FROM` keyword can be followed by a list of several tables (STables) or result of a subquery. The `FROM` keyword can be followed by a list of several tables (STables) or result of a sub-query.
If you do not specify user's current database, you can use the database name before the table name to specify the database to which the table belongs. For example: `power.d1001` to use tables across databases. If you do not specify user's current database, you can use the database name before the table name to specify the database to which the table belongs. For example: `power.d1001` to use tables across databases.
...@@ -686,10 +686,10 @@ Query OK, 1 row(s) in set (0.001091s) ...@@ -686,10 +686,10 @@ Query OK, 1 row(s) in set (0.001091s)
SELECT (col1 + col2) AS 'complex' FROM tb1 WHERE ts > '2018-06-01 08:00:00.000' AND col2 > 1.2 LIMIT 10 OFFSET 5; SELECT (col1 + col2) AS 'complex' FROM tb1 WHERE ts > '2018-06-01 08:00:00.000' AND col2 > 1.2 LIMIT 10 OFFSET 5;
``` ```
- Query the records of past 10 minutes, the value of col2 is greater than 3.14, and output the result to the file /home/testoutpu.csv. - Query the records of past 10 minutes, the value of col2 is greater than 3.14, and output the result to the file /home/testoutput.csv.
```mysql ```mysql
SELECT COUNT(*) FROM tb1 WHERE ts >= NOW - 10m AND col2 > 3.14 >> /home/testoutpu.csv; SELECT COUNT(*) FROM tb1 WHERE ts >= NOW - 10m AND col2 > 3.14 >> /home/testoutput.csv;
``` ```
<a class="anchor" id="functions"></a> <a class="anchor" id="functions"></a>
...@@ -1227,9 +1227,9 @@ SELECT AVG(current), MAX(current), LEASTSQUARES(current, start_val, step_val), P ...@@ -1227,9 +1227,9 @@ SELECT AVG(current), MAX(current), LEASTSQUARES(current, start_val, step_val), P
## <a class="anchor" id="limitation"></a> TAOS SQL Boundary Restrictions ## <a class="anchor" id="limitation"></a> TAOS SQL Boundary Restrictions
- Max database name length is 32 - Max database name length is 32
- Max length of table name is 192, and max length of each data row is 16k characters - Max length of table name is 192, and max length of each data row is 48K (it's 16K prior to 2.1.7.0) characters
- Max length of column name is 64, max number of columns allowed is 1024, and min number of columns allowed is 2. The first column must be a timestamp - Max length of column name is 64, max number of columns allowed is 1024, and min number of columns allowed is 2. The first column must be a timestamp
- Max number of tags allowed is 128, down to 1, and total length of tags does not exceed 16k characters - Max number of tags allowed is 128, down to 1, and total length of tags does not exceed 16K characters
- Max length of SQL statement is 65480 characters, but it can be modified by system configuration parameter maxSQLLength, and max length can be configured to 1M - Max length of SQL statement is 65480 characters, but it can be modified by system configuration parameter maxSQLLength, and max length can be configured to 1M
- Number of databases, STables and tables are not limited by system, but only limited by system resources - Number of databases, STables and tables are not limited by system, but only limited by system resources
......
rust @ 1c8924dc
比较 1c8924dc...1c8924dc
Subproject commit 1c8924dc668e6aa848214c2fc54e3ace3f5bf8df
src/client/src/tscSQLParser.c
浏览文件 @ 592ed087
...@@ -3947,6 +3947,10 @@ int32_t setShowInfo(SSqlObj* pSql, struct SSqlInfo* pInfo) { ...@@ -3947,6 +3947,10 @@ int32_t setShowInfo(SSqlObj* pSql, struct SSqlInfo* pInfo) {
if (pShowInfo->prefix.type == TK_STRING) { if (pShowInfo->prefix.type == TK_STRING) {
pShowInfo->prefix.n = stringProcess(pShowInfo->prefix.z, pShowInfo->prefix.n); pShowInfo->prefix.n = stringProcess(pShowInfo->prefix.z, pShowInfo->prefix.n);
} }
if (pShowInfo->prefix.n <= 0) {
return invalidOperationMsg(tscGetErrorMsgPayload(pCmd), msg6);
}
} }
return TSDB_CODE_SUCCESS; return TSDB_CODE_SUCCESS;
} }
......
tests @ e0bbce1b
比较 e0bbce1b...e0bbce1b
Subproject commit e0bbce1b13d2d6f95733567da652215eec962993
tests/CMakeLists.txt 0 → 100644
浏览文件 @ 592ed087
# generate debug version:
# mkdir debug; cd debug; cmake -DCMAKE_BUILD_TYPE=Debug ..
# generate release version:
# mkdir release; cd release; cmake -DCMAKE_BUILD_TYPE=Release ..
CMAKE_MINIMUM_REQUIRED(VERSION 3.0...3.20)
PROJECT(TDengine)
SET(CMAKE_C_STANDARD 11)
#ADD_SUBDIRECTORY(examples/c)
ADD_SUBDIRECTORY(tsim)
ADD_SUBDIRECTORY(test/c)
ADD_SUBDIRECTORY(comparisonTest/tdengine)
tests/How-To-Run-Test-And-How-To-Add-New-Test-Case.md 0 → 100644
浏览文件 @ 592ed087
### Prepare development environment
1. sudo apt install
build-essential cmake net-tools python-pip python-setuptools python3-pip
python3-setuptools valgrind psmisc curl
2. git clone <https://github.com/taosdata/TDengine>; cd TDengine
3. mkdir debug; cd debug; cmake ..; make ; sudo make install
4. cd ../tests && pip3 install -r requirements.txt
> Note: Both Python2 and Python3 are currently supported by the Python test
> framework. Since Python2 is no longer officially supported by Python Software
> Foundation since January 1, 2020, it is recommended that subsequent test case
> development be guaranteed to run correctly on Python3.
> For Python2, please consider being compatible if appropriate without
> additional burden.
>
> If you use some new Linux distribution like Ubuntu 20.04 which already do not
> include Python2, please do not install Python2-related packages.
>
> <https://nakedsecurity.sophos.com/2020/01/03/python-is-dead-long-live-python/> 
### How to run Python test suite
1. cd \<TDengine\>/tests/pytest
2. ./smoketest.sh \# for smoke test
3. ./smoketest.sh -g \# for memory leak detection test with valgrind
4. ./fulltest.sh \# for full test
> Note1: TDengine daemon's configuration and data files are stored in
> \<TDengine\>/sim directory. As a historical design, it's same place with
> TSIM script. So after the TSIM script ran with sudo privilege, the directory
> has been used by TSIM then the python script cannot write it by a normal
> user. You need to remove the directory completely first before running the
> Python test case. We should consider using two different locations to store
> for TSIM and Python script.
> Note2: if you need to debug crash problem with a core dump, you need
> manually edit smoketest.sh or fulltest.sh to add "ulimit -c unlimited"
> before the script line. Then you can look for the core file in
> \<TDengine\>/tests/pytest after the program crash.
### How to add a new test case
**1. TSIM test cases:**
TSIM was the testing framework has been used internally. Now it still be used to run the test cases we develop in the past as a legacy system. We are turning to use Python to develop new test case and are abandoning TSIM gradually.
**2. Python test cases:**
**2.1 Please refer to \<TDengine\>/tests/pytest/insert/basic.py to add a new
test case.** The new test case must implement 3 functions, where self.init()
and self.stop() simply copy the contents of insert/basic.py and the test
logic is implemented in self.run(). You can refer to the code in the util
directory for more information.
**2.2 Edit smoketest.sh to add the path and filename of the new test case**
Note: The Python test framework may continue to be improved in the future,
hopefully, to provide more functionality and ease of writing test cases. The
method of writing the test case above does not exclude that it will also be
affected.
**2.3 What test.py does in detail:**
test.py is the entry program for test case execution and monitoring.
test.py has the following functions.
\-f --file, Specifies the test case file name to be executed
-p --path, Specifies deployment path
\-m --master, Specifies the master server IP for cluster deployment
-c--cluster, test cluster function
-s--stop, terminates all running nodes
\-g--valgrind, load valgrind for memory leak detection test
\-h--help, display help
**2.4 What util/log.py does in detail:**
log.py is quite simple, the main thing is that you can print the output in
different colors as needed. The success() should be called for successful
test case execution and the success() will print green text. The exit() will
print red text and exit the program, exit() should be called for test
failure.
**util/log.py**
...
    def info(self, info):
        print("%s %s" % (datetime.datetime.now(), info))
 
    def sleep(self, sec):
        print("%s sleep %d seconds" % (datetime.datetime.now(), sec))
        time.sleep(sec)
 
    def debug(self, err):
        print("\\033[1;36m%s %s\\033[0m" % (datetime.datetime.now(), err))
 
    def success(self, info):
        printf("\\033[1;32m%s %s\\033[0m" % (datetime.datetime.now(), info))
 
    def notice(self, err):
        printf("\\033[1;33m%s %s\\033[0m" % (datetime.datetime.now(), err))
 
    def exit(self, err):
        printf("\\033[1;31m%s %s\\033[0m" % (datetime.datetime.now(), err))
        sys.exit(1)
 
    def printNoPrefix(self, info):
        printf("\\033[1;36m%s\\033[0m" % (info)
...
**2.5 What util/sql.py does in detail:**
SQL.py is mainly used to execute SQL statements to manipulate the database,
and the code is extracted and commented as follows:
**util/sql.py**
\# prepare() is mainly used to set up the environment for testing table and
data, and to set up the database db for testing. do not call prepare() if you
need to test the database operation command.
def prepare(self):
tdLog.info("prepare database:db")
self.cursor.execute('reset query cache')
self.cursor.execute('drop database if exists db')
self.cursor.execute('create database db')
self.cursor.execute('use db')
...
\# query() is mainly used to execute select statements for normal syntax input
def query(self, sql):
...
\# error() is mainly used to execute the select statement with the wrong syntax
input, the error will be caught as a reasonable behavior, if not caught it will
prove that the test failed
def error()
...
\# checkRows() is used to check the number of returned lines after calling
query(select ...) after calling the query(select ...) to check the number of
rows of returned results.
def checkRows(self, expectRows):
...
\# checkData() is used to check the returned result data after calling
query(select ...) after the query(select ...) is called, failure to meet
expectation is
def checkData(self, row, col, data):
...
\# getData() returns the result data after calling query(select ...) to return
the resulting data after calling query(select ...)
def getData(self, row, col):
...
\# execute() used to execute sql and return the number of affected rows
def execute(self, sql):
...
\# executeTimes() Multiple executions of the same sql statement
def executeTimes(self, sql, times):
...
\# CheckAffectedRows() Check if the number of affected rows is as expected
def checkAffectedRows(self, expectAffectedRows):
...
### CI submission adoption principle.
- Every commit / PR compilation must pass. Currently, the warning is treated
as an error, so the warning must also be resolved.
- Test cases that already exist must pass.
- Because CI is very important to support build and automatically test
procedure, it is necessary to manually test the test case before adding it
and do as many iterations as possible to ensure that the test case provides
stable and reliable test results when added.
> Note: In the future, according to the requirements and test development
> progress will add stress testing, performance testing, code style,
> and other features based on functional testing.
tests/Jenkinsfile 0 → 100644
浏览文件 @ 592ed087
def pre_test(){
sh '''
sudo rmtaos||echo 'no taosd installed'
'''
sh '''
cd ${WKC}
git reset --hard
git checkout $BRANCH_NAME
git pull
git submodule update
cd ${WK}
git reset --hard
git checkout $BRANCH_NAME
git pull
export TZ=Asia/Harbin
date
rm -rf ${WK}/debug
mkdir debug
cd debug
cmake .. > /dev/null
make > /dev/null
make install > /dev/null
pip3 install ${WKC}/src/connector/python
'''
return 1
}
def pre_test_p(){
sh '''
sudo rmtaos||echo 'no taosd installed'
'''
sh '''
cd ${WKC}
git reset --hard
git checkout $BRANCH_NAME
git pull
git submodule update
cd ${WK}
git reset --hard
git checkout $BRANCH_NAME
git pull
export TZ=Asia/Harbin
date
rm -rf ${WK}/debug
mkdir debug
cd debug
cmake .. > /dev/null
make > /dev/null
make install > /dev/null
pip3 install ${WKC}/src/connector/python
'''
return 1
}
pipeline {
agent none
environment{
WK = '/data/lib/jenkins/workspace/TDinternal'
WKC= '/data/lib/jenkins/workspace/TDinternal/community'
}
stages {
stage('Parallel test stage') {
parallel {
stage('pytest') {
agent{label 'slad1'}
steps {
pre_test_p()
sh '''
cd ${WKC}/tests
find pytest -name '*'sql|xargs rm -rf
./test-all.sh pytest
date'''
}
}
stage('test_b1') {
agent{label 'slad2'}
steps {
pre_test()
sh '''
cd ${WKC}/tests
./test-all.sh b1
date'''
}
}
stage('test_crash_gen') {
agent{label "slad3"}
steps {
pre_test()
sh '''
cd ${WKC}/tests/pytest
'''
catchError(buildResult: 'SUCCESS', stageResult: 'FAILURE') {
sh '''
cd ${WKC}/tests/pytest
./crash_gen.sh -a -p -t 4 -s 2000
'''
}
catchError(buildResult: 'SUCCESS', stageResult: 'FAILURE') {
sh '''
cd ${WKC}/tests/pytest
rm -rf /var/lib/taos/*
rm -rf /var/log/taos/*
./handle_crash_gen_val_log.sh
'''
}
catchError(buildResult: 'SUCCESS', stageResult: 'FAILURE') {
sh '''
cd ${WKC}/tests/pytest
rm -rf /var/lib/taos/*
rm -rf /var/log/taos/*
./handle_taosd_val_log.sh
'''
}
sh'''
nohup taosd >/dev/null &
sleep 10
'''
catchError(buildResult: 'SUCCESS', stageResult: 'FAILURE') {
sh '''
cd ${WKC}/tests/gotest
bash batchtest.sh
'''
}
catchError(buildResult: 'SUCCESS', stageResult: 'FAILURE') {
sh '''
cd ${WKC}/tests/examples/python/PYTHONConnectorChecker
python3 PythonChecker.py
'''
}
catchError(buildResult: 'SUCCESS', stageResult: 'FAILURE') {
sh '''
cd ${WKC}/tests/examples/JDBC/JDBCDemo/
mvn clean package >/dev/null
java -jar target/JdbcRestfulDemo-jar-with-dependencies.jar
'''
}
catchError(buildResult: 'SUCCESS', stageResult: 'FAILURE') {
sh '''
cp -rf ${WKC}/tests/examples/nodejs ${JENKINS_HOME}/workspace/
cd ${JENKINS_HOME}/workspace/nodejs
node nodejsChecker.js host=localhost
'''
}
catchError(buildResult: 'SUCCESS', stageResult: 'FAILURE') {
sh '''
cd ${JENKINS_HOME}/workspace/C#NET/src/CheckC#
dotnet run
'''
}
sh '''
pkill -9 taosd || echo 1
cd ${WKC}/tests
./test-all.sh b2
date
'''
sh '''
cd ${WKC}/tests
./test-all.sh full unit
date'''
}
}
stage('test_valgrind') {
agent{label "slad4"}
steps {
pre_test()
catchError(buildResult: 'SUCCESS', stageResult: 'FAILURE') {
sh '''
cd ${WKC}/tests/pytest
nohup taosd >/dev/null &
sleep 10
python3 concurrent_inquiry.py -c 1
'''
}
sh '''
cd ${WKC}/tests
./test-all.sh full jdbc
date'''
sh '''
cd ${WKC}/tests/pytest
./valgrind-test.sh 2>&1 > mem-error-out.log
./handle_val_log.sh
date
cd ${WKC}/tests
./test-all.sh b3
date'''
sh '''
date
cd ${WKC}/tests
./test-all.sh full example
date'''
}
}
stage('arm64_build'){
agent{label 'arm64'}
steps{
sh '''
cd ${WK}
git fetch
git checkout develop
git pull
cd ${WKC}
git fetch
git checkout develop
git pull
git submodule update
cd ${WKC}/packaging
./release.sh -v cluster -c aarch64 -n 2.0.0.0 -m 2.0.0.0
'''
}
}
stage('arm32_build'){
agent{label 'arm32'}
steps{
catchError(buildResult: 'SUCCESS', stageResult: 'FAILURE') {
sh '''
cd ${WK}
git fetch
git checkout develop
git pull
cd ${WKC}
git fetch
git checkout develop
git pull
git submodule update
cd ${WKC}/packaging
./release.sh -v cluster -c aarch32 -n 2.0.0.0 -m 2.0.0.0
'''
}
}
}
}
}
}
post {
success {
emailext (
subject: "PR-result: Job '${env.JOB_NAME} [${env.BUILD_NUMBER}]' SUCCESS",
body: """<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
</head>
<body leftmargin="8" marginwidth="0" topmargin="8" marginheight="4" offset="0">
<table width="95%" cellpadding="0" cellspacing="0" style="font-size: 16pt; font-family: Tahoma, Arial, Helvetica, sans-serif">
<tr>
<td><br />
<b><font color="#0B610B"><font size="6">构建信息</font></font></b>
<hr size="2" width="100%" align="center" /></td>
</tr>
<tr>
<td>
<ul>
<div style="font-size:18px">
<li>构建名称>>分支：${env.BRANCH_NAME}</li>
<li>构建结果：<span style="color:green"> Successful </span></li>
<li>构建编号：${BUILD_NUMBER}</li>
<li>触发用户：${env.CHANGE_AUTHOR}</li>
<li>提交信息：${env.CHANGE_TITLE}</li>
<li>构建地址：<a href=${BUILD_URL}>${BUILD_URL}</a></li>
<li>构建日志：<a href=${BUILD_URL}console>${BUILD_URL}console</a></li>
</div>
</ul>
</td>
</tr>
</table></font>
</body>
</html>""",
to: "yqliu@taosdata.com,pxiao@taosdata.com",
from: "support@taosdata.com"
)
}
failure {
emailext (
subject: "PR-result: Job '${env.JOB_NAME} [${env.BUILD_NUMBER}]' FAIL",
body: """<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
</head>
<body leftmargin="8" marginwidth="0" topmargin="8" marginheight="4" offset="0">
<table width="95%" cellpadding="0" cellspacing="0" style="font-size: 16pt; font-family: Tahoma, Arial, Helvetica, sans-serif">
<tr>
<td><br />
<b><font color="#0B610B"><font size="6">构建信息</font></font></b>
<hr size="2" width="100%" align="center" /></td>
</tr>
<tr>
<td>
<ul>
<div style="font-size:18px">
<li>构建名称>>分支：${env.BRANCH_NAME}</li>
<li>构建结果：<span style="color:red"> Failure </span></li>
<li>构建编号：${BUILD_NUMBER}</li>
<li>触发用户：${env.CHANGE_AUTHOR}</li>
<li>提交信息：${env.CHANGE_TITLE}</li>
<li>构建地址：<a href=${BUILD_URL}>${BUILD_URL}</a></li>
<li>构建日志：<a href=${BUILD_URL}console>${BUILD_URL}console</a></li>
</div>
</ul>
</td>
</tr>
</table></font>
</body>
</html>""",
to: "yqliu@taosdata.com,pxiao@taosdata.com",
from: "support@taosdata.com"
)
}
}
}
\ No newline at end of file
tests/comparisonTest/cassandra/application.conf 0 → 100644
浏览文件 @ 592ed087
datastax-java-driver {
basic.request {
timeout = 200000 seconds
}
}
tests/comparisonTest/cassandra/cassandratest/pom.xml 0 → 100644
浏览文件 @ 592ed087
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.cassandra.test</groupId>
<artifactId>cassandratest</artifactId>
<version>1.0-SNAPSHOT</version>
<packaging>jar</packaging>
<build>
<pluginManagement>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-plugins</artifactId>
<version>30</version>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-assembly-plugin</artifactId>
<version>3.0.0</version>
</plugin>
</plugins>
</pluginManagement>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-assembly-plugin</artifactId>
<version>3.1.0</version>
<configuration>
<archive>
<manifest>
<mainClass>CassandraTest</mainClass>
</manifest>
</archive>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>2.3.2</version>
<configuration>
<source>8</source>
<target>8</target>
</configuration>
</plugin>
</plugins>
</build>
<name>cassandratest</name>
<!-- FIXME change it to the project's website -->
<url>http://www.example.com</url>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
</properties>
<dependencies>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.13.1</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>com.datastax.oss</groupId>
<artifactId>java-driver-core</artifactId>
<version>4.1.0</version>
</dependency>
<dependency>
<groupId>com.datastax.oss</groupId>
<artifactId>java-driver-query-builder</artifactId>
<version>4.1.0</version>
</dependency>
<dependency>
<groupId>com.datastax.oss</groupId>
<artifactId>java-driver-mapper-runtime</artifactId>
<version>4.1.0</version>
</dependency>
<dependency>
<groupId>commons-io</groupId>
<artifactId>commons-io</artifactId>
<version>2.7</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
<version>3.7</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
<version>1.7.5</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
<version>1.7.5</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-1.2-api</artifactId>
<version>2.8.2</version>
</dependency>
</dependencies>
</project>
tests/comparisonTest/cassandra/cassandratest/src/main/java/com/cassandra/test/CassandraTest.java 0 → 100644
浏览文件 @ 592ed087
import com.datastax.oss.driver.api.core.CqlSession;
import com.datastax.oss.driver.api.core.cql.*;
import com.datastax.oss.driver.api.core.session.*;
import com.datastax.oss.driver.api.core.config.*;
import com.datastax.oss.driver.api.core.cql.ResultSet;
import com.datastax.oss.driver.api.core.cql.Row;
//import com.datastax.driver.core.Cluster;
//import com.datastax.driver.core.Cluster;
import java.io.BufferedWriter;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileWriter;
import java.io.FileReader;
import java.io.IOException;
import java.text.DecimalFormat;
import java.util.Random;
import java.math.*;
import java.lang.reflect.Method;
public class CassandraTest{
public static void main(String args[]) {
// begin to parse argument
String datadir = "/home/ubuntu/testdata";
String sqlfile = "/home/ubuntu/fang/cassandra/q1.txt";
String cfgfile = "/home/ubuntu/fang/cassandra/application.conf";
boolean q4flag = false;
int numOfRows = 1000000;
int numOfFiles =0;
int numOfClients =0;
int rowsPerRequest =0;
for (int i = 0; i < args.length; ++i) {
if (args[i].equalsIgnoreCase("-dataDir")) {
if (i < args.length - 1) {
datadir = args[++i];
}
} else if (args[i].equalsIgnoreCase("-numofFiles")) {
if (i < args.length - 1) {
numOfFiles = Integer.parseInt(args[++i]);
}
} else if (args[i].equalsIgnoreCase("-rowsPerRequest")) {
if (i < args.length - 1) {
rowsPerRequest = Integer.parseInt(args[++i]);
}
} else if (args[i].equalsIgnoreCase("-writeClients")) {
if (i < args.length - 1) {
numOfClients = Integer.parseInt(args[++i]);
}
} else if (args[i].equalsIgnoreCase("-sql")) {
sqlfile = args[++i];
} else if (args[i].equalsIgnoreCase("-timetest")) {
q4flag = true;
} else if (args[i].equalsIgnoreCase("-conf")) {
cfgfile = args[++i];
}
}
// file below to make sure no timeout error
File confile = new File(cfgfile);
System.out.println("parameters\n");
if (numOfFiles >0) {
// write data
System.out.printf("----dataDir:%s\n", datadir);
System.out.printf("----numOfFiles:%d\n", numOfFiles);
System.out.printf("----numOfClients:%d\n", numOfClients);
System.out.printf("----rowsPerRequest:%d\n", rowsPerRequest);
// connect to cassandra server
System.out.printf("----connecting to cassandra server\n");
try {
CqlSession session = CqlSession.builder()
.withConfigLoader(DriverConfigLoader.fromFile(confile))
.build();
session.execute("drop keyspace if exists cassandra");
session.execute("CREATE KEYSPACE if not exists cassandra WITH replication = {'class':'SimpleStrategy', 'replication_factor':1}");
if (q4flag) {
session.execute("create table if not exists cassandra.test (devid int, devname text, devgroup int, ts bigint, minute bigint, temperature int, humidity float ,primary key (minute,ts,devgroup,devid,devname))");
} else {
session.execute("create table if not exists cassandra.test (devid int, devname text, devgroup int, ts bigint, temperature int, humidity float ,primary key (devgroup,devid,devname,ts))");
}
session.close();
System.out.printf("----created keyspace cassandra and table test\n");
// begin to insert data
System.out.printf("----begin to insert data\n");
long startTime = System.currentTimeMillis();
int a = numOfFiles/numOfClients;
int b = numOfFiles%numOfClients;
int last = 0;
WriteThread[] writethreads = new WriteThread[numOfClients];
int[] wargs = new int[2]; // data file start, end
wargs[0] = numOfRows; //rows to be read from each file
wargs[1] = rowsPerRequest;
int fstart =0;
int fend =0;
for (int i = 0; i<numOfClients; ++i) {
if (i<b) {
fstart = last;
fend = last+a;
last = last+a+1;
writethreads[i] = new WriteThread(fstart,fend,wargs,datadir,q4flag);
System.out.printf("----Thread %d begin to write\n",i);
writethreads[i].start();
} else {
fstart = last;
fend = last+a-1;
last = last+a;
writethreads[i] = new WriteThread(fstart,fend,wargs,datadir,q4flag);
System.out.printf("----Thread %d begin to write\n",i);
writethreads[i].start();
}
}
for (int i =0; i<numOfClients; ++i) {
try {
writethreads[i].join();
} catch (InterruptedException e) {
e.printStackTrace();
}
}
long stopTime = System.currentTimeMillis();
float elapseTime = stopTime - startTime;
elapseTime = elapseTime/1000;
float speeds = numOfRows*numOfFiles/elapseTime;
System.out.printf("---- insertation speed: %f Rows/Second\n",speeds);
} catch (Exception ex) {
ex.printStackTrace();
System.exit(1);
} finally {
System.out.printf("---- insertion end\n");
}
// above:write part; below: read part;
} else {
// query data begin
System.out.printf("----sql command file:%s\n", sqlfile);
// connect to cassandra server
try {
CqlSession session = CqlSession.builder()
.withConfigLoader(DriverConfigLoader.fromFile(confile))
.build();
//session.execute("use cassandra;");
BufferedReader br = null;
String line = "";
try {
br = new BufferedReader(new FileReader(sqlfile));
while ((line = br.readLine()) != null && line.length()>10) {
long startTime = System.currentTimeMillis();
// begin to query one line command //
// end querying one line command
try {
ResultSet results = session.execute(line);
long icounter = 0;
for (Row row : results) {
icounter++;
}
long stopTime = System.currentTimeMillis();
float elapseTime = stopTime - startTime;
elapseTime = elapseTime/1000;
System.out.printf("----spend %f seconds to query: %s\n", elapseTime, line);
} catch (Exception ex) {
ex.printStackTrace();
System.out.printf("---- query failed!\n");
System.exit(1);
}
}
} catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
} finally {
if (br != null) {
try {
br.close();
} catch (IOException e) {
e.printStackTrace();
}
}
session.close();
}
} catch (Exception ex) {
ex.printStackTrace();
} finally {
System.out.println("query end:----\n");
}
} // end write or query
System.exit(0);
}// end main
}// end class
tests/comparisonTest/cassandra/cassandratest/src/main/java/com/cassandra/test/WriteThread.java 0 → 100644
浏览文件 @ 592ed087
import java.io.BufferedReader;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.IOException;
import java.math.*;
import com.datastax.oss.driver.api.core.CqlSession;
import com.datastax.oss.driver.api.core.cql.*;
import com.datastax.oss.driver.api.core.session.*;
import com.datastax.oss.driver.api.core.config.*;
public class WriteThread extends Thread {
private int[] wargs; // fstart, fend, rows to be read, rows perrequest
private String fdir;
private int fstart;
private int fend;
private boolean q4flag;
public WriteThread (int fstart, int fend,int[] wargs, String fdir, boolean q4flag) {
this.fstart = fstart;
this.fend = fend;
this.fdir = fdir;
this.wargs = wargs;
this.q4flag = q4flag;
}
// begin to insert in this thread
public void run() {
/*
// this configuration file makes sure no timeout error
File confile = new File("/home/ubuntu/fang/cassandra/application.conf");
*/
// connect to server
try {
CqlSession session = CqlSession.builder()
//.withConfigLoader(DriverConfigLoader.fromFile(confile))
.build();
//session.execute("use cassandra");
int tominute = 6000;
for (int i=fstart; i<=fend; i++) {
String csvfile;
csvfile = fdir + "/testdata"+ Integer.toString(i)+".csv";
BufferedReader br = null;
String line = "";
String cvsSplitBy = " ";
try {
br = new BufferedReader(new FileReader(csvfile));
System.out.println("---- begin to read file " +csvfile+"\n");
for (int itotalrow =0; itotalrow<wargs[0]; itotalrow=itotalrow+wargs[1]) {
String cqlstr = "BEGIN BATCH ";
for (int irow =0; irow<wargs[1]; ++irow) {
line = br.readLine();
if (line !=null) {
String[] meter = line.split(cvsSplitBy);
BigInteger tminute = new BigInteger(meter[3]);
tminute = tminute.divide(BigInteger.valueOf(tominute));
if (q4flag) {
cqlstr = cqlstr + "insert into cassandra.test (devid,devname,devgroup,ts, minute,temperature,humidity) values ";
cqlstr = cqlstr +"("+meter[0] +"," +"'" +meter[1] +"'" +"," +meter[2] +"," + meter[3] +",";
cqlstr = cqlstr +tminute.toString() +"," +meter[4] +"," +meter[5] +");";
} else {
cqlstr = cqlstr + "insert into cassandra.test (devid,devname,devgroup,ts,temperature,humidity) values ";
cqlstr = cqlstr +"("+meter[0] +"," +"'" +meter[1] +"'" +"," +meter[2] +"," + meter[3] +",";
cqlstr = cqlstr +meter[4] +"," +meter[5] +");";
}
} // if this line is not null
}//end row iteration in one batch
cqlstr = cqlstr+" APPLY BATCH;";
try {
//System.out.println(cqlstr+"----\n");
session.execute(cqlstr);
} catch (Exception ex) {
ex.printStackTrace();
}
}// end one file reading
} catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
} finally {
if (br != null) {
try {
br.close();
} catch (IOException e) {
e.printStackTrace();
}
}
}
}//end file iteration
session.close();
} catch (Exception ex) {
ex.printStackTrace();
}
}//end run
}//end class
tests/comparisonTest/cassandra/q1.txt 0 → 100644
浏览文件 @ 592ed087
select * from cassandra.test where devgroup=0 allow filtering;
select * from cassandra.test where devgroup=10 allow filtering;
select * from cassandra.test where devgroup=20 allow filtering;
select * from cassandra.test where devgroup=30 allow filtering;
select * from cassandra.test where devgroup=40 allow filtering;
select * from cassandra.test where devgroup=50 allow filtering;
select * from cassandra.test where devgroup=60 allow filtering;
select * from cassandra.test where devgroup=70 allow filtering;
select * from cassandra.test where devgroup=80 allow filtering;
select * from cassandra.test where devgroup=90 allow filtering;
tests/comparisonTest/cassandra/q2.txt 0 → 100644
浏览文件 @ 592ed087
select count(*) from cassandra.test where devgroup<10 allow filtering;
select count(*) from cassandra.test where devgroup<20 allow filtering;
select count(*) from cassandra.test where devgroup<30 allow filtering;
select count(*) from cassandra.test where devgroup<40 allow filtering;
select count(*) from cassandra.test where devgroup<50 allow filtering;
select count(*) from cassandra.test where devgroup<60 allow filtering;
select count(*) from cassandra.test where devgroup<70 allow filtering;
select count(*) from cassandra.test where devgroup<80 allow filtering;
select count(*) from cassandra.test where devgroup<90 allow filtering;
select count(*) from cassandra.test allow filtering;
select avg(temperature) from cassandra.test where devgroup<10 allow filtering;
select avg(temperature) from cassandra.test where devgroup<20 allow filtering;
select avg(temperature) from cassandra.test where devgroup<30 allow filtering;
select avg(temperature) from cassandra.test where devgroup<40 allow filtering;
select avg(temperature) from cassandra.test where devgroup<50 allow filtering;
select avg(temperature) from cassandra.test where devgroup<60 allow filtering;
select avg(temperature) from cassandra.test where devgroup<70 allow filtering;
select avg(temperature) from cassandra.test where devgroup<80 allow filtering;
select avg(temperature) from cassandra.test where devgroup<90 allow filtering;
select avg(temperature) from cassandra.test allow filtering;
select sum(temperature) from cassandra.test where devgroup<10 allow filtering;
select sum(temperature) from cassandra.test where devgroup<20 allow filtering;
select sum(temperature) from cassandra.test where devgroup<30 allow filtering;
select sum(temperature) from cassandra.test where devgroup<40 allow filtering;
select sum(temperature) from cassandra.test where devgroup<50 allow filtering;
select sum(temperature) from cassandra.test where devgroup<60 allow filtering;
select sum(temperature) from cassandra.test where devgroup<70 allow filtering;
select sum(temperature) from cassandra.test where devgroup<80 allow filtering;
select sum(temperature) from cassandra.test where devgroup<90 allow filtering;
select sum(temperature) from cassandra.test allow filtering;
select max(temperature) from cassandra.test where devgroup<10 allow filtering;
select max(temperature) from cassandra.test where devgroup<20 allow filtering;
select max(temperature) from cassandra.test where devgroup<30 allow filtering;
select max(temperature) from cassandra.test where devgroup<40 allow filtering;
select max(temperature) from cassandra.test where devgroup<50 allow filtering;
select max(temperature) from cassandra.test where devgroup<60 allow filtering;
select max(temperature) from cassandra.test where devgroup<70 allow filtering;
select max(temperature) from cassandra.test where devgroup<80 allow filtering;
select max(temperature) from cassandra.test where devgroup<90 allow filtering;
select max(temperature) from cassandra.test allow filtering;
select min(temperature) from cassandra.test where devgroup<10 allow filtering;
select min(temperature) from cassandra.test where devgroup<20 allow filtering;
select min(temperature) from cassandra.test where devgroup<30 allow filtering;
select min(temperature) from cassandra.test where devgroup<40 allow filtering;
select min(temperature) from cassandra.test where devgroup<50 allow filtering;
select min(temperature) from cassandra.test where devgroup<60 allow filtering;
select min(temperature) from cassandra.test where devgroup<70 allow filtering;
select min(temperature) from cassandra.test where devgroup<80 allow filtering;
select min(temperature) from cassandra.test where devgroup<90 allow filtering;
select min(temperature) from cassandra.test allow filtering;
tests/comparisonTest/cassandra/q3.txt 0 → 100644
浏览文件 @ 592ed087
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<10 group by devgroup allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<20 group by devgroup allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<30 group by devgroup allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<40 group by devgroup allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<50 group by devgroup allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<60 group by devgroup allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<70 group by devgroup allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<80 group by devgroup allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<90 group by devgroup allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test group by devgroup allow filtering;
tests/comparisonTest/cassandra/q4.txt 0 → 100644
浏览文件 @ 592ed087
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<10 group by minute allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<20 group by minute allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<30 group by minute allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<40 group by minute allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<50 group by minute allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<60 group by minute allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<70 group by minute allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<80 group by minute allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test where devgroup<90 group by minute allow filtering;
select count(temperature), sum(temperature), avg(temperature) from cassandra.test group by minute;
tests/comparisonTest/dataGenerator/com/taosdata/generator/DataGenerator.java 0 → 100644
浏览文件 @ 592ed087
package com.taosdata.generator;
import java.io.BufferedWriter;
import java.io.File;
import java.io.FileWriter;
import java.io.IOException;
import java.text.DecimalFormat;
import java.util.Random;
public class DataGenerator {
/*
* to simulate the change action of humidity The valid range of humidity is
* [0, 100]
*/
public static class ValueGen {
int center;
int range;
Random rand;
public ValueGen(int center, int range) {
this.center = center;
this.range = range;
this.rand = new Random();
}
double next() {
double v = this.rand.nextGaussian();
if (v < -3) {
v = -3;
}
if (v > 3) {
v = 3;
}
return (this.range / 3.00) * v + center;
}
}
// data scale
private static int timestep = 1000; // sample time interval in milliseconds
private static long dataStartTime = 1563249700000L;
private static int deviceId = 0;
private static String tagPrefix = "dev_";
// MachineNum RowsPerMachine MachinesInOneFile
public static void main(String args[]) {
int numOfDevice = 10000;
int numOfFiles = 100;
int rowsPerDevice = 10000;
String directory = "~/";
for (int i = 0; i < args.length; i++) {
if (args[i].equalsIgnoreCase("-numOfDevices")) {
if (i < args.length - 1) {
numOfDevice = Integer.parseInt(args[++i]);
} else {
System.out.println("'-numOfDevices' requires a parameter, default is 10000");
}
} else if (args[i].equalsIgnoreCase("-numOfFiles")) {
if (i < args.length - 1) {
numOfFiles = Integer.parseInt(args[++i]);
} else {
System.out.println("'-numOfFiles' requires a parameter, default is 100");
}
} else if (args[i].equalsIgnoreCase("-rowsPerDevice")) {
if (i < args.length - 1) {
rowsPerDevice = Integer.parseInt(args[++i]);
} else {
System.out.println("'-rowsPerDevice' requires a parameter, default is 10000");
}
} else if (args[i].equalsIgnoreCase("-dataDir")) {
if (i < args.length - 1) {
directory = args[++i];
} else {
System.out.println("'-dataDir' requires a parameter, default is ~/testdata");
}
}
}
System.out.println("parameters");
System.out.printf("----dataDir:%s\n", directory);
System.out.printf("----numOfFiles:%d\n", numOfFiles);
System.out.printf("----numOfDevice:%d\n", numOfDevice);
System.out.printf("----rowsPerDevice:%d\n", rowsPerDevice);
int numOfDevPerFile = numOfDevice / numOfFiles;
long ts = dataStartTime;
// deviceId, time stamp, humid(int), temp(double), tagString(dev_deviceid)
int humidityDistRadius = 35;
int tempDistRadius = 17;
for (int i = 0; i < numOfFiles; ++i) { // prepare the data file
dataStartTime = ts;
// generate file name
String path = directory;
try {
path += "/testdata" + String.valueOf(i) + ".csv";
getDataInOneFile(path, rowsPerDevice, numOfDevPerFile, humidityDistRadius, tempDistRadius);
} catch (IOException e) {
e.printStackTrace();
}
}
}
private static void getDataInOneFile(String path, int rowsPerDevice, int num, int humidityDistRadius, int tempDistRadius) throws IOException {
DecimalFormat df = new DecimalFormat("0.0000");
long startTime = dataStartTime;
FileWriter fw = new FileWriter(new File(path));
BufferedWriter bw = new BufferedWriter(fw);
for (int i = 0; i < num; ++i) {
deviceId += 1;
Random rand = new Random();
double centralVal = Math.abs(rand.nextInt(100));
if (centralVal < humidityDistRadius) {
centralVal = humidityDistRadius;
}
if (centralVal + humidityDistRadius > 100) {
centralVal = 100 - humidityDistRadius;
}
DataGenerator.ValueGen humidityDataGen = new DataGenerator.ValueGen((int) centralVal, humidityDistRadius);
dataStartTime = startTime;
centralVal = Math.abs(rand.nextInt(22));
DataGenerator.ValueGen tempDataGen = new DataGenerator.ValueGen((int) centralVal, tempDistRadius);
for (int j = 0; j < rowsPerDevice; ++j) {
int humidity = (int) humidityDataGen.next();
double temp = tempDataGen.next();
int deviceGroup = deviceId % 100;
StringBuffer sb = new StringBuffer();
sb.append(deviceId).append(" ").append(tagPrefix).append(deviceId).append(" ").append(deviceGroup)
.append(" ").append(dataStartTime).append(" ").append(humidity).append(" ")
.append(df.format(temp));
bw.write(sb.toString());
bw.write("\n");
dataStartTime += timestep;
}
}
bw.close();
fw.close();
System.out.printf("file:%s generated\n", path);
}
}
tests/comparisonTest/influxdb/main.go 0 → 100644
浏览文件 @ 592ed087
/*
* Copyright (c) 2019 TAOS Data, Inc. <jhtao@taosdata.com>
*
* This program is free software: you can use, redistribute, and/or modify
* it under the terms of the GNU Affero General Public License, version 3
* or later ("AGPL"), as published by the Free Software Foundation.
*
* This program is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
package main
import (
"bufio"
"flag"
"fmt"
"log"
"os"
"strconv"
"strings"
"sync"
"sync/atomic"
"time"
"github.com/influxdata/influxdb1-client/v2"
)
type ProArgs struct {
host string
username string
password string
db string
sql string
dataDir string
filesNum int
writeClients int
rowsPerRequest int
}
type WriteInfo struct {
threadId int
sID int
eID int
}
type StatisInfo struct {
totalRows int64
}
var statis StatisInfo
func main() {
// Configuration
var arguments ProArgs
// Parse options
flag.StringVar(&(arguments.host), "host", "http://localhost:8086", "Server host to connect")
flag.StringVar(&(arguments.db), "db", "db", "DB to insert data")
flag.StringVar(&(arguments.username), "user", "", "Username used to connect to server")
flag.StringVar(&(arguments.password), "pass", "", "Password used to connect to server")
flag.StringVar(&(arguments.sql), "sql", "./sqlCmd.txt", "File name of SQL commands")
flag.StringVar(&(arguments.dataDir), "dataDir", "./testdata", "Raw csv data")
flag.IntVar(&(arguments.filesNum), "numOfFiles", 10, "Number of files int dataDir ")
flag.IntVar(&(arguments.writeClients), "writeClients", 0, "Number of write clients")
flag.IntVar(&(arguments.rowsPerRequest), "rowsPerRequest", 100, "Number of rows per request")
flag.Parse()
statis.totalRows = 0
if arguments.writeClients > 0 {
writeData(&arguments)
} else {
readData(&arguments)
}
}
func writeData(arguments *ProArgs) {
log.Println("write data")
log.Println("---- writeClients:", arguments.writeClients)
log.Println("---- dataDir:", arguments.dataDir)
log.Println("---- numOfFiles:", arguments.filesNum)
log.Println("---- rowsPerRequest:", arguments.rowsPerRequest)
var wg sync.WaitGroup
wg.Add(arguments.writeClients)
st := time.Now()
a := arguments.filesNum / arguments.writeClients
b := arguments.filesNum % arguments.writeClients
last := 0
for i := 0; i < arguments.writeClients; i++ {
var wInfo WriteInfo
wInfo.threadId = i + 1
wInfo.sID = last
if i < b {
wInfo.eID = last + a
} else {
wInfo.eID = last + a - 1
}
last = wInfo.eID + 1
go writeDataImp(&wInfo, &wg, arguments)
}
wg.Wait()
elapsed := time.Since(st)
seconds := float64(elapsed) / float64(time.Second)
log.Println("---- Spent", seconds, "seconds to insert", statis.totalRows, "records, speed:", float64(statis.totalRows)/seconds, "Rows/Second")
}
func writeDataImp(wInfo *WriteInfo, wg *sync.WaitGroup, arguments *ProArgs) {
defer wg.Done()
log.Println("Thread", wInfo.threadId, "writing sID", wInfo.sID, "eID", wInfo.eID)
// Connect to the server
conn, err := client.NewHTTPClient(client.HTTPConfig{
Addr: arguments.host,
Username: arguments.username,
Password: arguments.password,
Timeout: 300 * time.Second,
})
if err != nil {
log.Fatal(err)
}
defer conn.Close()
// Create database
_, err = queryDB(conn, fmt.Sprintf("create database %s", arguments.db), arguments.db)
if err != nil {
log.Fatal(err)
}
// Write data
counter := 0
totalRecords := 0
bp, err := client.NewBatchPoints(client.BatchPointsConfig{
Database: arguments.db,
Precision: "ms",
})
if err != nil {
log.Fatal(err)
}
for j := wInfo.sID; j <= wInfo.eID; j++ {
fileName := fmt.Sprintf("%s/testdata%d.csv", arguments.dataDir, j)
fs, err := os.Open(fileName)
if err != nil {
log.Printf("failed to open file %s", fileName)
log.Fatal(err)
}
log.Printf("open file %s success", fileName)
bfRd := bufio.NewReader(fs)
for {
sline, err := bfRd.ReadString('\n')
if err != nil {
break
}
sline = strings.TrimSuffix(sline, "\n")
s := strings.Split(sline, " ")
if len(s) != 6 {
continue
}
// Create a point and add to batch
tags := map[string]string{
"devid": s[0],
"devname": s[1],
"devgroup": s[2],
}
timestamp, _ := strconv.ParseInt(s[3], 10, 64)
temperature, _ := strconv.ParseInt(s[4], 10, 32)
humidity, _ := strconv.ParseFloat(s[5], 64)
fields := map[string]interface{}{
"temperature": temperature,
"humidity": humidity,
}
pt, err := client.NewPoint("devices", tags, fields, time.Unix(0, timestamp * int64(time.Millisecond)))
if err != nil {
log.Fatalln("Error: ", err)
}
bp.AddPoint(pt)
counter++
if counter >= arguments.rowsPerRequest {
if err := conn.Write(bp); err != nil {
log.Fatal(err)
}
totalRecords += counter
counter = 0
bp, err = client.NewBatchPoints(client.BatchPointsConfig{
Database: arguments.db,
Precision: "ms",
})
if err != nil {
log.Fatal(err)
}
}
}
fs.Close()
}
totalRecords += counter
if counter > 0 {
if err := conn.Write(bp); err != nil {
log.Fatal(err)
}
}
atomic.AddInt64(&statis.totalRows, int64(totalRecords))
}
func readData(arguments *ProArgs) {
log.Println("read data")
log.Println("---- sql:", arguments.sql)
conn, err := client.NewHTTPClient(client.HTTPConfig{
Addr: arguments.host,
Username: arguments.username,
Password: arguments.password,
Timeout: 300 * time.Second,
})
if err != nil {
log.Fatal(err)
}
defer conn.Close()
fs, err := os.Open(arguments.sql)
if err != nil {
log.Printf("failed to open file %s", arguments.sql)
log.Fatal(err)
}
log.Printf("open file %s success", arguments.sql)
bfRd := bufio.NewReader(fs)
for {
sline, err := bfRd.ReadString('\n')
if err != nil {
break
}
sline = strings.TrimSuffix(sline, "\n")
st := time.Now()
_, err = queryDB(conn, sline, arguments.db)
if err != nil {
log.Fatal(err)
}
elapsed := time.Since(st)
seconds := float64(elapsed) / float64(time.Second)
log.Println("---- Spent", seconds, "seconds to query ", sline)
}
}
func queryDB(conn client.Client, cmd string, db string) (res []client.Result, err error) {
query := client.Query{
Command: cmd,
Database: db,
}
response, err := conn.Query(query)
if err == nil {
if response.Error() != nil {
return res, response.Error()
}
res = response.Results
} else {
return res, err
}
return res, nil
}
tests/comparisonTest/influxdb/q1.txt 0 → 100644
浏览文件 @ 592ed087
select * from devices where devgroup='0';
select * from devices where devgroup='10';
select * from devices where devgroup='20';
select * from devices where devgroup='30';
select * from devices where devgroup='40';
select * from devices where devgroup='50';
select * from devices where devgroup='60';
select * from devices where devgroup='70';
select * from devices where devgroup='80';
select * from devices where devgroup='90';
tests/comparisonTest/influxdb/q2.txt 0 → 100644
浏览文件 @ 592ed087
select count(temperature) from devices where devgroup=~/[1-1][0-9]/;
select count(temperature) from devices where devgroup=~/[1-2][0-9]/;
select count(temperature) from devices where devgroup=~/[1-3][0-9]/;
select count(temperature) from devices where devgroup=~/[1-4][0-9]/;
select count(temperature) from devices where devgroup=~/[1-5][0-9]/;
select count(temperature) from devices where devgroup=~/[1-6][0-9]/;
select count(temperature) from devices where devgroup=~/[1-7][0-9]/;
select count(temperature) from devices where devgroup=~/[1-8][0-9]/;
select count(temperature) from devices where devgroup=~/[1-9][0-9]/;
select count(temperature) from devices;
select mean(temperature) from devices where devgroup=~/[1-1][0-9]/;
select mean(temperature) from devices where devgroup=~/[1-2][0-9]/;
select mean(temperature) from devices where devgroup=~/[1-3][0-9]/;
select mean(temperature) from devices where devgroup=~/[1-4][0-9]/;
select mean(temperature) from devices where devgroup=~/[1-5][0-9]/;
select mean(temperature) from devices where devgroup=~/[1-6][0-9]/;
select mean(temperature) from devices where devgroup=~/[1-7][0-9]/;
select mean(temperature) from devices where devgroup=~/[1-8][0-9]/;
select mean(temperature) from devices where devgroup=~/[1-9][0-9]/;
select mean(temperature) from devices;
select sum(temperature) from devices where devgroup=~/[1-1][0-9]/;
select sum(temperature) from devices where devgroup=~/[1-2][0-9]/;
select sum(temperature) from devices where devgroup=~/[1-3][0-9]/;
select sum(temperature) from devices where devgroup=~/[1-4][0-9]/;
select sum(temperature) from devices where devgroup=~/[1-5][0-9]/;
select sum(temperature) from devices where devgroup=~/[1-6][0-9]/;
select sum(temperature) from devices where devgroup=~/[1-7][0-9]/;
select sum(temperature) from devices where devgroup=~/[1-8][0-9]/;
select sum(temperature) from devices where devgroup=~/[1-9][0-9]/;
select sum(temperature) from devices;
select max(temperature) from devices where devgroup=~/[1-1][0-9]/;
select max(temperature) from devices where devgroup=~/[1-2][0-9]/;
select max(temperature) from devices where devgroup=~/[1-3][0-9]/;
select max(temperature) from devices where devgroup=~/[1-4][0-9]/;
select max(temperature) from devices where devgroup=~/[1-5][0-9]/;
select max(temperature) from devices where devgroup=~/[1-6][0-9]/;
select max(temperature) from devices where devgroup=~/[1-7][0-9]/;
select max(temperature) from devices where devgroup=~/[1-8][0-9]/;
select max(temperature) from devices where devgroup=~/[1-9][0-9]/;
select max(temperature) from devices;
select min(temperature) from devices where devgroup=~/[1-1][0-9]/;
select min(temperature) from devices where devgroup=~/[1-2][0-9]/;
select min(temperature) from devices where devgroup=~/[1-3][0-9]/;
select min(temperature) from devices where devgroup=~/[1-4][0-9]/;
select min(temperature) from devices where devgroup=~/[1-5][0-9]/;
select min(temperature) from devices where devgroup=~/[1-6][0-9]/;
select min(temperature) from devices where devgroup=~/[1-7][0-9]/;
select min(temperature) from devices where devgroup=~/[1-8][0-9]/;
select min(temperature) from devices where devgroup=~/[1-9][0-9]/;
select min(temperature) from devices;
select spread(temperature) from devices where devgroup=~/[1-1][0-9]/;
select spread(temperature) from devices where devgroup=~/[1-2][0-9]/;
select spread(temperature) from devices where devgroup=~/[1-3][0-9]/;
select spread(temperature) from devices where devgroup=~/[1-4][0-9]/;
select spread(temperature) from devices where devgroup=~/[1-5][0-9]/;
select spread(temperature) from devices where devgroup=~/[1-6][0-9]/;
select spread(temperature) from devices where devgroup=~/[1-7][0-9]/;
select spread(temperature) from devices where devgroup=~/[1-8][0-9]/;
select spread(temperature) from devices where devgroup=~/[1-9][0-9]/;
select spread(temperature) from devices;
tests/comparisonTest/influxdb/q3.txt 0 → 100644
浏览文件 @ 592ed087
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-1][0-9]/ group by devgroup;
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-2][0-9]/ group by devgroup;
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-3][0-9]/ group by devgroup;
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-4][0-9]/ group by devgroup;
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-5][0-9]/ group by devgroup;
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-6][0-9]/ group by devgroup;
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-7][0-9]/ group by devgroup;
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-8][0-9]/ group by devgroup;
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-9][0-9]/ group by devgroup;
select count(temperature), sum(temperature), mean(temperature) from devices group by devgroup;
tests/comparisonTest/influxdb/q4.txt 0 → 100644
浏览文件 @ 592ed087
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-1][0-9]/ group by time(1m);
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-2][0-9]/ group by time(1m);
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-3][0-9]/ group by time(1m);
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-4][0-9]/ group by time(1m);
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-5][0-9]/ group by time(1m);
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-6][0-9]/ group by time(1m);
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-7][0-9]/ group by time(1m);
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-8][0-9]/ group by time(1m);
select count(temperature), sum(temperature), mean(temperature) from devices where devgroup=~/[1-9][0-9]/ group by time(1m);
select count(temperature), sum(temperature), mean(temperature) from devices group by time(1m);
tests/comparisonTest/opentsdb/opentsdbtest/pom.xml 0 → 100644
浏览文件 @ 592ed087
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.opentsdb.test</groupId>
<artifactId>opentsdbtest</artifactId>
<version>1.0-SNAPSHOT</version>
<packaging>jar</packaging>
<build>
<pluginManagement>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-plugins</artifactId>
<version>30</version>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-assembly-plugin</artifactId>
<version>3.0.0</version>
</plugin>
</plugins>
</pluginManagement>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-assembly-plugin</artifactId>
<version>3.1.0</version>
<configuration>
<archive>
<manifest>
<mainClass>OpentsdbTest</mainClass>
</manifest>
</archive>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>2.3.2</version>
<configuration>
<source>8</source>
<target>8</target>
</configuration>
</plugin>
</plugins>
</build>
<name>opentsdbtest</name>
<!-- FIXME change it to the project's website -->
<url>http://www.example.com</url>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
</properties>
<dependencies>
<dependency>
<groupId>net.opentsdb</groupId>
<artifactId>opentsdb_gwt_theme</artifactId>
<version>1.0.0</version>
</dependency>
<dependency>
<groupId>net.opentsdb</groupId>
<artifactId>opentsdb</artifactId>
<version>2.4.0</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.13.1</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>30.0-jre</version>
</dependency>
<dependency>
<groupId>com.google.gwt</groupId>
<artifactId>gwt-user</artifactId>
<version>2.6.0</version>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-annotations</artifactId>
<version>2.9.10</version>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-core</artifactId>
<version>2.9.10</version>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
<version>2.10.0.pr1</version>
</dependency>
<dependency>
<groupId>io.netty</groupId>
<artifactId>netty</artifactId>
<version>3.10.6.Final</version>
</dependency>
<dependency>
<groupId>com.stumbleupon</groupId>
<artifactId>async</artifactId>
<version>1.4.0</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-math3</artifactId>
<version>3.4.1</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-jexl</artifactId>
<version>2.1.1</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
<version>3.7</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-collections4</artifactId>
<version>4.3</version>
</dependency>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpasyncclient</artifactId>
<version>4.1.3</version>
</dependency>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>
<version>4.5.13</version>
</dependency>
<dependency>
<groupId>org.jgrapht</groupId>
<artifactId>jgrapht-core</artifactId>
<version>0.9.1</version>
</dependency>
<dependency>
<groupId>com.esotericsoftware.kryo</groupId>
<artifactId>kryo</artifactId>
<version>2.21.1</version>
</dependency>
<dependency>
<groupId>com.datastax.oss</groupId>
<artifactId>java-driver-core</artifactId>
<version>4.1.0</version>
</dependency>
<dependency>
<groupId>com.datastax.oss</groupId>
<artifactId>java-driver-query-builder</artifactId>
<version>4.1.0</version>
</dependency>
<dependency>
<groupId>com.datastax.oss</groupId>
<artifactId>java-driver-mapper-runtime</artifactId>
<version>4.1.0</version>
</dependency>
<dependency>
<groupId>commons-io</groupId>
<artifactId>commons-io</artifactId>
<version>2.7</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
<version>1.7.25</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-1.2-api</artifactId>
<version>2.8.2</version>
</dependency>
<dependency>
<groupId>ch.qos.logback</groupId>
<artifactId>logback-core</artifactId>
<version>1.2.0</version>
</dependency>
<dependency>
<groupId>ch.qos.logback</groupId>
<artifactId>logback-classic</artifactId>
<version>1.2.0</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>1.18.0</version>
</dependency>
<dependency>
<groupId>com.github.eulery</groupId>
<artifactId>opentsdb-java-sdk</artifactId>
<version>1.1.4</version>
</dependency>
</dependencies>
<profiles>
<profile>
<id>hbase</id>
<activation>
<activeByDefault>true</activeByDefault>
</activation>
<dependencies>
<dependency>
<groupId>org.hbase</groupId>
<artifactId>asynchbase</artifactId>
<version>1.8.2</version>
</dependency>
<dependency>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
<version>3.4.14</version>
<exclusions>
<exclusion>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
</exclusion>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
<exclusion>
<groupId>jline</groupId>
<artifactId>jline</artifactId>
</exclusion>
<exclusion>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
</exclusion>
</exclusions>
</dependency>
</dependencies>
</profile>
</profiles>
</project>
tests/comparisonTest/opentsdb/opentsdbtest/src/main/java/com/opentsdb/test/OpentsdbTest.java 0 → 100644
浏览文件 @ 592ed087
import com.stumbleupon.async.Callback;
import com.stumbleupon.async.Deferred;
import net.opentsdb.core.TSDB;
import net.opentsdb.uid.NoSuchUniqueName;
import net.opentsdb.uid.UniqueId.UniqueIdType;
import net.opentsdb.utils.Config;
import java.net.URL;
import org.apache.commons.lang3.StringUtils;
import org.apache.http.HttpResponse;
import org.apache.http.client.ResponseHandler;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.concurrent.FutureCallback;
import org.apache.http.entity.StringEntity;
import org.apache.http.impl.nio.client.CloseableHttpAsyncClient;
import java.io.BufferedWriter;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileWriter;
import java.io.FileReader;
import java.io.IOException;
import java.nio.charset.Charset;
import java.text.DecimalFormat;
import java.util.Random;
import java.util.ArrayList;
import java.util.List;
import java.util.LinkedHashMap;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.*;
import java.math.*;
import java.lang.reflect.Method;
import org.apache.log4j.Logger;
import org.apache.log4j.LogManager;
import org.apache.log4j.Level;
public class OpentsdbTest{
//static { System.setProperty("logback.configurationFile", "/home/ubuntu/fang/opentsdb/opentsdbtest/logback.xml");}
static { System.setProperty("logback.configurationFile", "/etc/opentsdb/logback.xml");}
public static void main(String args[]) {
Logger logger = LogManager.getLogger(OpentsdbTest.class);
logger.setLevel(Level.OFF);
// begin to parse argument
String datadir = "/home/ubuntu/testdata";
String sqlchoice = "q1";
int numOfRows = 1000000;
int numOfFiles = 0;
int numOfClients = 1;
int rowsPerRequest = 1;
for (int i = 0; i < args.length; ++i) {
if (args[i].equalsIgnoreCase("-dataDir")) {
if (i < args.length - 1) {
datadir = args[++i];
}
} else if (args[i].equalsIgnoreCase("-numofFiles")) {
if (i < args.length - 1) {
numOfFiles = Integer.parseInt(args[++i]);
}
} else if (args[i].equalsIgnoreCase("-rowsPerRequest")) {
if (i < args.length - 1) {
rowsPerRequest = Integer.parseInt(args[++i]);
}
} else if (args[i].equalsIgnoreCase("-writeClients")) {
if (i < args.length - 1) {
numOfClients = Integer.parseInt(args[++i]);
}
} else if (args[i].equalsIgnoreCase("-sql")) {
sqlchoice = args[++i];
}
}
System.out.println("parameters:\n");
if (numOfFiles >0) {
// write data
System.out.printf("----dataDir:%s\n", datadir);
System.out.printf("----numOfFiles:%d\n", numOfFiles);
System.out.printf("----numOfClients:%d\n", numOfClients);
System.out.printf("----rowsPerRequest:%d\n", rowsPerRequest);
try {
// begin to insert data
System.out.printf("----begin to insert data\n");
long startTime = System.currentTimeMillis();
int a = numOfFiles/numOfClients;
int b = numOfFiles%numOfClients;
int last = 0;
WriteThread[] writethreads = new WriteThread[numOfClients];
int[] wargs = new int[2]; // data file start, end
wargs[0] = numOfRows; //rows to be read from each file
wargs[1] = rowsPerRequest;
int fstart =0;
int fend =0;
for (int i = 0; i<numOfClients; ++i) {
if (i<b) {
fstart = last;
fend = last+a;
last = last+a+1;
writethreads[i] = new WriteThread(fstart,fend,wargs,datadir);
System.out.printf("----Thread %d begin to write\n",i);
writethreads[i].start();
} else {
fstart = last;
fend = last+a-1;
last = last+a;
writethreads[i] = new WriteThread(fstart,fend,wargs,datadir);
System.out.printf("----Thread %d begin to write\n",i);
writethreads[i].start();
}
}
for (int i =0; i<numOfClients; ++i) {
try {
writethreads[i].join();
} catch (InterruptedException e) {
e.printStackTrace();
}
}
long stopTime = System.currentTimeMillis();
float elapseTime = stopTime - startTime;
elapseTime = elapseTime/1000;
float speeds = numOfRows*numOfFiles/elapseTime;
System.out.printf("---- insertation speed: %f Rows/Second\n",speeds);
} catch (Exception ex) {
ex.printStackTrace();
System.exit(1);
} finally {
System.out.printf("---- insertion end\n");
}
// above:write part; below: read part;
} else {
try (CloseableHttpClient httpclient = HttpClients.createDefault()) {
String filter_reg;
String get_url;
long startTime;
long stopTime;
float elapseTime;
CloseableHttpResponse responseBody;
StringEntity stringEntity;
HttpPost httpPost;
String qjson;
for (int ig = 10; ig <110; ig = ig+10) {
if (ig == 10) {
filter_reg = "\\b[0-9]\\b";
} else {
filter_reg = "\\b" + "([0-9]|"
+ "[" + "1" + "-"
+ Integer.toString(ig/10-1) + "][0-9])" +"\\b";
}
switch (sqlchoice) {
case "q1":
get_url = "http://127.0.0.1:4242/api/query?";
/*
get_url = get_url + "start=1563249700&m=none:temperature{devgroup=";
get_url = get_url + String.valueOf(ig-10) +"}";
*/
startTime = System.currentTimeMillis();
httpPost = new HttpPost(get_url);
qjson = " {\n" +
" \"start\": 1563249700,\n" +
" \"queries\": [\n" +
" {\n" +
" \"aggregator\": \"none\",\n" +
" \"metric\": \"temperature\",\n" +
" \"tags\": {\n" +
" \"devgroup\": " + "\"" + Integer.toString(ig-10) + "\"" + "\n" +
" }\n" +
" }\n" +
" ]\n" +
" }";
httpPost.setHeader("Accept", "application/json");
httpPost.setHeader("Content-type", "application/json");
stringEntity = new StringEntity(qjson);
httpPost.setEntity(stringEntity);
responseBody = httpclient.execute(httpPost);
/*
System.out.println(responseBody.getStatusLine());
System.out.println(qjson);
*/
responseBody.close();
stopTime = System.currentTimeMillis();
elapseTime = stopTime - startTime;
elapseTime = elapseTime/1000;
System.out.printf("Spend %f seconds to get data when devgroup = %d\n",elapseTime, ig-10);
break;
case "q2":
//count
startTime = System.currentTimeMillis();
get_url = "http://127.0.0.1:4242/api/query?";
httpPost = new HttpPost(get_url);
qjson = " {\n" +
" \"start\": 1563249700,\n" +
" \"queries\": [\n" +
" {\n" +
" \"aggregator\": \"count\",\n" +
" \"metric\": \"temperature\",\n" +
" \"filters\": [\n"+
" {\n" +
" \"type\": \"regexp\",\n" +
" \"tagk\": \"devgroup\",\n" +
" \"filter\": " +"\"" + filter_reg +"\"" + ",\n" +
" \"groupby\": false\n" +
" }\n" +
" ]\n" +
" }\n" +
" ]\n" +
" }";
httpPost.setHeader("Accept", "application/json");
httpPost.setHeader("Content-type", "application/json");
stringEntity = new StringEntity(qjson);
httpPost.setEntity(stringEntity);
responseBody = httpclient.execute(httpPost);
stopTime = System.currentTimeMillis();
elapseTime = stopTime - startTime;
elapseTime = elapseTime/1000;
System.out.printf("Spend %f seconds to count data when devgroup < %d\n",elapseTime, ig);
responseBody.close();
//avg
startTime = System.currentTimeMillis();
httpPost = new HttpPost(get_url);
qjson = " {\n" +
" \"start\": 1563249700,\n" +
" \"queries\": [\n" +
" {\n" +
" \"aggregator\": \"avg\",\n" +
" \"metric\": \"temperature\",\n" +
" \"filters\": [\n"+
" {\n" +
" \"type\": \"regexp\",\n" +
" \"tagk\": \"devgroup\",\n" +
" \"filter\": " +"\"" + filter_reg +"\"" + ",\n" +
" \"groupby\": false\n" +
" }\n" +
" ]\n" +
" }\n" +
" ]\n" +
" }";
httpPost.setHeader("Accept", "application/json");
httpPost.setHeader("Content-type", "application/json");
stringEntity = new StringEntity(qjson);
httpPost.setEntity(stringEntity);
responseBody = httpclient.execute(httpPost);
stopTime = System.currentTimeMillis();
elapseTime = stopTime - startTime;
elapseTime = elapseTime/1000;
System.out.printf("Spend %f seconds to avg data when devgroup < %d\n",elapseTime, ig);
responseBody.close();
//sum
startTime = System.currentTimeMillis();
httpPost = new HttpPost(get_url);
qjson = " {\n" +
" \"start\": 1563249700,\n" +
" \"queries\": [\n" +
" {\n" +
" \"aggregator\": \"sum\",\n" +
" \"metric\": \"temperature\",\n" +
" \"filters\": [\n"+
" {\n" +
" \"type\": \"regexp\",\n" +
" \"tagk\": \"devgroup\",\n" +
" \"filter\": " +"\"" + filter_reg +"\"" +",\n" +
" \"groupby\": false\n" +
" }\n" +
" ]\n" +
" }\n" +
" ]\n" +
" }";
httpPost.setHeader("Accept", "application/json");
httpPost.setHeader("Content-type", "application/json");
stringEntity = new StringEntity(qjson);
httpPost.setEntity(stringEntity);
responseBody = httpclient.execute(httpPost);
stopTime = System.currentTimeMillis();
elapseTime = stopTime - startTime;
elapseTime = elapseTime/1000;
System.out.printf("Spend %f seconds to sum data when devgroup < %d\n",elapseTime, ig);
responseBody.close();
//max
startTime = System.currentTimeMillis();
httpPost = new HttpPost(get_url);
qjson = " {\n" +
" \"start\": 1563249700,\n" +
" \"queries\": [\n" +
" {\n" +
" \"aggregator\": \"max\",\n" +
" \"metric\": \"temperature\",\n" +
" \"filters\": [\n"+
" {\n" +
" \"type\": \"regexp\",\n" +
" \"tagk\": \"devgroup\",\n" +
" \"filter\": " +"\"" + filter_reg +"\"" + ",\n" +
" \"groupby\": false\n" +
" }\n" +
" ]\n" +
" }\n" +
" ]\n" +
" }";
httpPost.setHeader("Accept", "application/json");
httpPost.setHeader("Content-type", "application/json");
stringEntity = new StringEntity(qjson);
httpPost.setEntity(stringEntity);
responseBody = httpclient.execute(httpPost);
stopTime = System.currentTimeMillis();
elapseTime = stopTime - startTime;
elapseTime = elapseTime/1000;
System.out.printf("Spend %f seconds to max data when devgroup < %d\n",elapseTime, ig);
responseBody.close();
//min
startTime = System.currentTimeMillis();
httpPost = new HttpPost(get_url);
qjson = " {\n" +
" \"start\": 1563249700,\n" +
" \"queries\": [\n" +
" {\n" +
" \"aggregator\": \"min\",\n" +
" \"metric\": \"temperature\",\n" +
" \"filters\": [\n"+
" {\n" +
" \"type\": \"regexp\",\n" +
" \"tagk\": \"devgroup\",\n" +
" \"filter\": " +"\"" + filter_reg +"\"" + ",\n" +
" \"groupby\": false\n" +
" }\n" +
" ]\n" +
" }\n" +
" ]\n" +
" }";
httpPost.setHeader("Accept", "application/json");
httpPost.setHeader("Content-type", "application/json");
stringEntity = new StringEntity(qjson);
httpPost.setEntity(stringEntity);
responseBody = httpclient.execute(httpPost);
responseBody.close();
stopTime = System.currentTimeMillis();
elapseTime = stopTime - startTime;
elapseTime = elapseTime/1000;
System.out.printf("Spend %f seconds to min data when devgroup < %d\n",elapseTime, ig);
responseBody.close();
break;
case "q3":
startTime = System.currentTimeMillis();
get_url = "http://127.0.0.1:4242/api/query?";
httpPost = new HttpPost(get_url);
qjson = " {\n" +
" \"start\": 1563249700,\n" +
" \"queries\": [\n" +
" {\n" +
" \"aggregator\": \"count\",\n" +
" \"metric\": \"temperature\",\n" +
" \"filters\": [\n"+
" {\n" +
" \"type\": \"regexp\",\n" +
" \"tagk\": \"devgroup\",\n" +
" \"filter\": " +"\"" + filter_reg +"\"" + ",\n" +
" \"groupBy\": true\n" +
" }\n" +
" ]\n" +
" },\n" +
" {\n" +
" \"aggregator\": \"sum\",\n" +
" \"metric\": \"temperature\",\n" +
" \"filters\": [\n"+
" {\n" +
" \"type\": \"regexp\",\n" +
" \"tagk\": \"devgroup\",\n" +
" \"filter\": " +"\"" + filter_reg +"\"" + ",\n" +
" \"groupBy\": true\n" +
" }\n" +
" ]\n" +
" },\n" +
" {\n" +
" \"aggregator\": \"avg\",\n" +
" \"metric\": \"temperature\",\n" +
" \"filters\": [\n"+
" {\n" +
" \"type\": \"regexp\",\n" +
" \"tagk\": \"devgroup\",\n" +
" \"filter\": " +"\"" + filter_reg +"\"" + ",\n" +
" \"groupBy\": true\n" +
" }\n" +
" ]\n" +
" }\n" +
" ]\n" +
" }";
httpPost.setHeader("Accept", "application/json");
httpPost.setHeader("Content-type", "application/json");
stringEntity = new StringEntity(qjson);
httpPost.setEntity(stringEntity);
responseBody = httpclient.execute(httpPost);
/*
System.out.println(responseBody.getStatusLine());
System.out.println(qjson);
*/
stopTime = System.currentTimeMillis();
elapseTime = stopTime - startTime;
elapseTime = elapseTime/1000;
System.out.printf("Spend %f seconds to group data by devgroup when devgroup < %d\n",elapseTime, ig);
responseBody.close();
break;
case "q4":
startTime = System.currentTimeMillis();
get_url = "http://127.0.0.1:4242/api/query?";
httpPost = new HttpPost(get_url);
qjson = " {\n" +
" \"start\": 1563249700,\n" +
" \"queries\": [\n" +
" {\n" +
" \"aggregator\": \"none\",\n" +
" \"metric\": \"temperature\",\n" +
" \"filters\": [\n"+
" {\n" +
" \"type\": \"regexp\",\n" +
" \"tagk\": \"devgroup\",\n" +
" \"filter\": " +"\"" + filter_reg +"\"" + ",\n" +
" \"groupBy\": false\n" +
" }\n" +
" ],\n" +
" \"downsample\": \"1m-sum\"\n" +
" },\n" +
" {\n" +
" \"aggregator\": \"none\",\n" +
" \"metric\": \"temperature\",\n" +
" \"filters\": [\n"+
" {\n" +
" \"type\": \"regexp\",\n" +
" \"tagk\": \"devgroup\",\n" +
" \"filter\": " +"\"" + filter_reg +"\"" + ",\n" +
" \"groupBy\": false\n" +
" }\n" +
" ],\n" +
" \"downsample\": \"1m-avg\"\n" +
" }\n" +
" ]\n" +
" }";
httpPost.setHeader("Accept", "application/json");
httpPost.setHeader("Content-type", "application/json");
stringEntity = new StringEntity(qjson);
httpPost.setEntity(stringEntity);
responseBody = httpclient.execute(httpPost);
/*
System.out.println(responseBody.getStatusLine());
System.out.println(qjson);
*/
stopTime = System.currentTimeMillis();
elapseTime = stopTime - startTime;
elapseTime = elapseTime/1000;
System.out.printf("Spend %f seconds to group data by time when devgroup < %d\n",elapseTime, ig);
responseBody.close();
break;
}
}
httpclient.close();
} catch (Exception e) {
e.printStackTrace();
}
System.out.println("query end:----\n");
} // end write or query
System.exit(0);
}// end main
}// end class
tests/comparisonTest/opentsdb/opentsdbtest/src/main/java/com/opentsdb/test/WriteThread.java 0 → 100644
浏览文件 @ 592ed087
import com.stumbleupon.async.Callback;
import com.stumbleupon.async.Deferred;
import net.opentsdb.core.TSDB;
import net.opentsdb.uid.NoSuchUniqueName;
import net.opentsdb.uid.UniqueId.UniqueIdType;
import net.opentsdb.utils.Config;
import org.apache.commons.lang3.StringUtils;
import org.apache.http.HttpResponse;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.concurrent.FutureCallback;
import org.apache.http.entity.StringEntity;
import org.apache.http.impl.nio.client.CloseableHttpAsyncClient;
import org.apache.http.HttpEntity;
import org.apache.http.client.ClientProtocolException;
import org.apache.http.client.ResponseHandler;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.entity.StringEntity;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;
import org.apache.http.client.methods.*;
import java.io.BufferedWriter;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileWriter;
import java.io.FileReader;
import java.io.IOException;
import java.nio.charset.Charset;
import java.text.DecimalFormat;
import java.util.Random;
import java.util.ArrayList;
import java.util.List;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.Future;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.atomic.AtomicInteger;
import java.math.*;
import java.lang.reflect.Method;
public class WriteThread extends Thread {
private int[] wargs; // fstart, fend, rows to be read, rows perrequest
private String fdir;
private int fstart;
private int fend;
public WriteThread (int fstart, int fend,int[] wargs, String fdir) {
this.fstart = fstart;
this.fend = fend;
this.fdir = fdir;
this.wargs = wargs;
}
// begin to insert in this thread
public void run() {
StringEntity stringEntity;
String port = "4242";
String put_url = "http://127.0.0.1:"+port+"/api/put?summary";
try (CloseableHttpClient httpclient = HttpClients.createDefault()) {
/*
httpclient.getHttpConnectionManager().getParams()
.setConnectionTimeout(1000);
httpclient.getHttpConnectionManager().getParams()
.setSoTimeout(5000);
*/
for (int i=fstart; i<=fend; i++) {
String csvfile;
csvfile = fdir + "/testdata"+ Integer.toString(i)+".csv";
BufferedReader br = null;
String line = "";
String cvsSplitBy = " ";
try {
br = new BufferedReader(new FileReader(csvfile));
System.out.println("---- begin to read file " +csvfile+"\n");
for (int itotalrow =0; itotalrow<wargs[0]; itotalrow=itotalrow+wargs[1]) {
HttpPost httpPost = new HttpPost(put_url);
httpPost.setHeader("Accept", "application/json");
httpPost.setHeader("Content-type", "application/json");
String totaljson = "[\n";
for (int irow =0; irow<wargs[1]; ++irow) {
line = br.readLine();
if (line !=null) {
String[] meter = line.split(cvsSplitBy);
// devid, devname,devgroup,ts,temperature,humidity
BigInteger timestamp = new BigInteger(meter[3]);
timestamp = timestamp.divide(BigInteger.valueOf(1000));
long ts = timestamp.longValue();
int temperature = Integer.parseInt(meter[4]);
float humidity = Float.parseFloat(meter[5]);
String onejson = " {\n" +
" \"metric\": \"temperature\",\n" +
" \"timestamp\": " + String.valueOf(ts) + ",\n" +
" \"value\": " + String.valueOf(temperature) + ",\n" +
" \"tags\" : {\n" +
" \"devid\":" +" \"" + meter[0] + "\",\n" +
" \"devname\":" +" \"" + meter[1] + "\",\n" +
" \"devgroup\":" +" \"" + meter[2] + "\"\n" +
" }\n" +
" },\n" +
" {\n" +
" \"metric\": \"humidity\",\n" +
" \"timestamp\": " + String.valueOf(ts) + ",\n" +
" \"value\": " + String.valueOf(humidity) + ",\n" +
" \"tags\" : {\n" +
" \"devid\":" +" \"" + meter[0] + "\",\n" +
" \"devname\":" +" \"" + meter[1] + "\",\n" +
" \"devgroup\":" +" \"" + meter[2] + "\"\n" +
" }\n";
if (irow == 0) {
totaljson = totaljson + onejson;
} else if (irow < wargs[1]) {
totaljson = totaljson + " },\n" + onejson;
}
} //end one line reading
} //end on batch put
totaljson = totaljson + " }\n]";
stringEntity = new StringEntity(totaljson);
httpPost.setEntity(stringEntity);
CloseableHttpResponse responseBody = httpclient.execute(httpPost);
/*
System.out.println(responseBody.getStatusLine());
System.out.println(totaljson);
*/
responseBody.close();
}// end one file reading
} catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
} finally {
if (br != null) {
try {
br.close();
} catch (IOException e) {
e.printStackTrace();
}
}
}
}//end file iteration
httpclient.close();
} catch (Exception e) {
e.printStackTrace();
System.out.println("failed to connect");
}
}//end run
}//end class
tests/comparisonTest/opentsdb/opentsdbtest/src/main/resources/logback.xml 0 → 100644
浏览文件 @ 592ed087
<?xml version="1.0" encoding="UTF-8"?>
<configuration>
<!-- 日志保存路径为tomcat下面的logs下面的mobileLog文件夹，logback会自动创建文件夹，这样设置了就可以输出日志文件了
<substitutionProperty name="logbase" value="${catalina.base}/logs/mobileLog/"
/> -->
<substitutionProperty name="logbase" value="${user.dir}/logs/ " />
<!-- 这个是要配置输出文件的 -->
<jmxConfigurator />
<appender name="stdout" class="ch.qos.logback.core.ConsoleAppender">
<layout class="ch.qos.logback.classic.PatternLayout">
<pattern>%date [%thread] %-5level %logger{80} - %msg%n</pattern>
</layout>
</appender>
<!-- 文件输出日志 (文件大小策略进行文件输出，超过指定大小对文件备份) -->
<appender name="logfile"
class="ch.qos.logback.core.rolling.RollingFileAppender">
<Encoding>UTF-8</Encoding>
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<File>${logbase}%d{yyyy-MM-dd}.log.html</File>
<FileNamePattern>${logbase}.%d{yyyy-MM-dd}.log.html.zip
</FileNamePattern>
</rollingPolicy>
<triggeringPolicy
class="ch.qos.logback.core.rolling.SizeBasedTriggeringPolicy">
<MaxFileSize>2MB</MaxFileSize>
</triggeringPolicy>
<layout class="ch.qos.logback.classic.html.HTMLLayout">
<pattern>%date%level%thread%10logger%file%line%msg</pattern>
</layout>
</appender>
<!-- Output by Email -->
<!--
<appender name="Email" class="ch.qos.logback.classic.net.SMTPAppender">
<SMTPHost>stmp host name</SMTPHost>
<To>Email Address</To>
<To>Email Address</To>
<From>Email Address</From>
<Subject>TESTING Email Function: %logger{20} - %m</Subject>
<layout class="ch.qos.logback.classic.html.HTMLLayout">
<pattern>%date%level%thread%10logger%file%line%msg</pattern>
</layout>
</appender> -->
<!-- Output to Database -->
<!--
<appender name="DB" class="ch.qos.logback.classic.db.DBAppender">
<connectionSource class="ch.qos.logback.core.db.DriverManagerConnectionSource">
<driverClass>com.mysql.jdbc.Driver</driverClass>
<url>jdbc:mysql://localhost:3306/test</url>
<user>root</user>
<password>trend_dev</password>
</connectionSource>
</appender> -->
<root>
<level value="debug" />
<appender-ref ref="logfile" />
<appender-ref ref="logfile" />
</root>
</configuration>
tests/comparisonTest/tdengine/CMakeLists.txt 0 → 100644
浏览文件 @ 592ed087
CMAKE_MINIMUM_REQUIRED(VERSION 3.0...3.20)
PROJECT(TDengine)
IF (TD_LINUX)
add_executable(tdengineTest tdengineTest.c)
target_link_libraries(tdengineTest taos_static tutil common pthread)
ENDIF()
IF (TD_DARWIN)
add_executable(tdengineTest tdengineTest.c)
target_link_libraries(tdengineTest taos_static tutil common pthread)
ENDIF()
tests/comparisonTest/tdengine/makefile 0 → 100644
浏览文件 @ 592ed087
ROOT=./
TARGET=exe
LFLAGS = '-Wl,-rpath,/usr/lib' -ltaos -lpthread -lm -lrt
CFLAGS = -O3 -g -Wall -Wno-deprecated -fPIC -Wno-unused-result -Wconversion -Wno-char-subscripts -D_REENTRANT -Wno-format -D_REENTRANT -DLINUX -msse4.2 -Wno-unused-function -D_M_X64 -std=gnu99
all: $(TARGET)
exe:
gcc $(CFLAGS) ./tdengineTest.c -o $(ROOT)/tdengineTest $(LFLAGS)
clean:
rm $(ROOT)tdengineTest
\ No newline at end of file
tests/comparisonTest/tdengine/q1.txt 0 → 100644
浏览文件 @ 592ed087
select * from db.devices where devgroup=0;
select * from db.devices where devgroup=10;
select * from db.devices where devgroup=20;
select * from db.devices where devgroup=30;
select * from db.devices where devgroup=40;
select * from db.devices where devgroup=50;
select * from db.devices where devgroup=60;
select * from db.devices where devgroup=70;
select * from db.devices where devgroup=80;
select * from db.devices where devgroup=90;
tests/comparisonTest/tdengine/q2.txt 0 → 100644
浏览文件 @ 592ed087
select count(*) from db.devices where devgroup<10;
select count(*) from db.devices where devgroup<20;
select count(*) from db.devices where devgroup<30;
select count(*) from db.devices where devgroup<40;
select count(*) from db.devices where devgroup<50;
select count(*) from db.devices where devgroup<60;
select count(*) from db.devices where devgroup<70;
select count(*) from db.devices where devgroup<80;
select count(*) from db.devices where devgroup<90;
select count(*) from db.devices;
select avg(temperature) from db.devices where devgroup<10;
select avg(temperature) from db.devices where devgroup<20;
select avg(temperature) from db.devices where devgroup<30;
select avg(temperature) from db.devices where devgroup<40;
select avg(temperature) from db.devices where devgroup<50;
select avg(temperature) from db.devices where devgroup<60;
select avg(temperature) from db.devices where devgroup<70;
select avg(temperature) from db.devices where devgroup<80;
select avg(temperature) from db.devices where devgroup<90;
select avg(temperature) from db.devices;
select sum(temperature) from db.devices where devgroup<10;
select sum(temperature) from db.devices where devgroup<20;
select sum(temperature) from db.devices where devgroup<30;
select sum(temperature) from db.devices where devgroup<40;
select sum(temperature) from db.devices where devgroup<50;
select sum(temperature) from db.devices where devgroup<60;
select sum(temperature) from db.devices where devgroup<70;
select sum(temperature) from db.devices where devgroup<80;
select sum(temperature) from db.devices where devgroup<90;
select sum(temperature) from db.devices;
select max(temperature) from db.devices where devgroup<10;
select max(temperature) from db.devices where devgroup<20;
select max(temperature) from db.devices where devgroup<30;
select max(temperature) from db.devices where devgroup<40;
select max(temperature) from db.devices where devgroup<50;
select max(temperature) from db.devices where devgroup<60;
select max(temperature) from db.devices where devgroup<70;
select max(temperature) from db.devices where devgroup<80;
select max(temperature) from db.devices where devgroup<90;
select max(temperature) from db.devices;
select min(temperature) from db.devices where devgroup<10;
select min(temperature) from db.devices where devgroup<20;
select min(temperature) from db.devices where devgroup<30;
select min(temperature) from db.devices where devgroup<40;
select min(temperature) from db.devices where devgroup<50;
select min(temperature) from db.devices where devgroup<60;
select min(temperature) from db.devices where devgroup<70;
select min(temperature) from db.devices where devgroup<80;
select min(temperature) from db.devices where devgroup<90;
select min(temperature) from db.devices;
select spread(temperature) from db.devices where devgroup<10;
select spread(temperature) from db.devices where devgroup<20;
select spread(temperature) from db.devices where devgroup<30;
select spread(temperature) from db.devices where devgroup<40;
select spread(temperature) from db.devices where devgroup<50;
select spread(temperature) from db.devices where devgroup<60;
select spread(temperature) from db.devices where devgroup<70;
select spread(temperature) from db.devices where devgroup<80;
select spread(temperature) from db.devices where devgroup<90;
select spread(temperature) from db.devices;
tests/comparisonTest/tdengine/q3.txt 0 → 100644
浏览文件 @ 592ed087
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<10 group by devgroup;
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<20 group by devgroup;
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<30 group by devgroup;
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<40 group by devgroup;
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<50 group by devgroup;
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<60 group by devgroup;
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<70 group by devgroup;
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<80 group by devgroup;
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<90 group by devgroup;
select count(temperature), sum(temperature), avg(temperature) from db.devices group by devgroup;
tests/comparisonTest/tdengine/q4.txt 0 → 100644
浏览文件 @ 592ed087
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<10 interval(1m);
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<20 interval(1m);
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<30 interval(1m);
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<40 interval(1m);
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<50 interval(1m);
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<60 interval(1m);
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<70 interval(1m);
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<80 interval(1m);
select count(temperature), sum(temperature), avg(temperature) from db.devices where devgroup<90 interval(1m);
select count(temperature), sum(temperature), avg(temperature) from db.devices interval(1m);
tests/comparisonTest/tdengine/tdengineTest.c 0 → 100644
浏览文件 @ 592ed087
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h>
#include <stdint.h>
#include <taos.h>
#include <time.h>
#include <pthread.h>
#include <sys/time.h>
#include <inttypes.h>
typedef struct {
char sql[256];
char dataDir[256];
int filesNum;
int clients;
int rowsPerRequest;
int write;
} ProArgs;
typedef struct {
int64_t totalRows;
} StatisInfo;
typedef struct {
pthread_t pid;
int threadId;
int sID;
int eID;
} ThreadObj;
static StatisInfo statis;
static ProArgs arguments;
void parseArg(int argc, char *argv[]);
void writeData();
void readData();
int main(int argc, char *argv[]) {
statis.totalRows = 0;
parseArg(argc, argv);
if (arguments.write) {
writeData();
} else {
readData();
}
}
void parseArg(int argc, char *argv[]) {
strcpy(arguments.sql, "./sqlCmd.txt");
strcpy(arguments.dataDir, "./testdata");
arguments.filesNum = 2;
arguments.clients = 1;
arguments.rowsPerRequest = 100;
for (int i = 1; i < argc; ++i) {
if (strcmp(argv[i], "-sql") == 0) {
if (i < argc - 1) {
strcpy(arguments.sql, argv[++i]);
}
else {
fprintf(stderr, "'-sql' requires a parameter, default:%s\n", arguments.sql);
exit(EXIT_FAILURE);
}
}
else if (strcmp(argv[i], "-dataDir") == 0) {
if (i < argc - 1) {
strcpy(arguments.dataDir, argv[++i]);
}
else {
fprintf(stderr, "'-dataDir' requires a parameter, default:%s\n", arguments.dataDir);
exit(EXIT_FAILURE);
}
}
else if (strcmp(argv[i], "-numOfFiles") == 0) {
if (i < argc - 1) {
arguments.filesNum = atoi(argv[++i]);
}
else {
fprintf(stderr, "'-numOfFiles' requires a parameter, default:%d\n", arguments.filesNum);
exit(EXIT_FAILURE);
}
}
else if (strcmp(argv[i], "-clients") == 0) {
if (i < argc - 1) {
arguments.clients = atoi(argv[++i]);
}
else {
fprintf(stderr, "'-clients' requires a parameter, default:%d\n", arguments.clients);
exit(EXIT_FAILURE);
}
}
else if (strcmp(argv[i], "-rowsPerRequest") == 0) {
if (i < argc - 1) {
arguments.rowsPerRequest = atoi(argv[++i]);
}
else {
fprintf(stderr, "'-rowsPerRequest' requires a parameter, default:%d\n", arguments.rowsPerRequest);
exit(EXIT_FAILURE);
}
}
else if (strcmp(argv[i], "-w") == 0) {
arguments.write = 1;
}
}
}
static void taos_error(TAOS_RES *tres, TAOS *conn) {
printf("TDengine error: %s\n", tres?taos_errstr(tres):"null result");
taos_close(conn);
exit(1);
}
int64_t getTimeStampMs() {
struct timeval systemTime;
gettimeofday(&systemTime, NULL);
return (int64_t)systemTime.tv_sec * 1000L + (int64_t)systemTime.tv_usec / 1000;
}
void writeDataImp(void *param) {
ThreadObj *pThread = (ThreadObj *)param;
printf("Thread %d, writing sID %d, eID %d\n", pThread->threadId, pThread->sID, pThread->eID);
void *taos = taos_connect("127.0.0.1", "root", "taosdata", NULL, 0);
if (taos == NULL) {
// where to find errstr?
// taos_error(NULL, taos);
printf("TDengine error: %s\n", "failed to connect");
exit(1);
}
TAOS_RES* result = taos_query(taos, "use db");
int32_t code = taos_errno(result);
if (code != 0) {
taos_error(result, taos);
}
taos_free_result(result);
char *sql = calloc(1, 8*1024*1024);
int sqlLen = 0;
int lastMachineid = 0;
int counter = 0;
int totalRecords = 0;
for (int j = pThread->sID; j <= pThread->eID; j++) {
char fileName[300];
sprintf(fileName, "%s/testdata%d.csv", arguments.dataDir, j);
FILE *fp = fopen(fileName, "r");
if (fp == NULL) {
printf("failed to open file %s\n", fileName);
exit(1);
}
printf("open file %s success\n", fileName);
char *line = NULL;
size_t len = 0;
while (!feof(fp)) {
free(line);
line = NULL;
len = 0;
getline(&line, &len, fp);
if (line == NULL) break;
if (strlen(line) < 10) continue;
int machineid;
char machinename[16];
int machinegroup;
int64_t timestamp;
int temperature;
float humidity;
sscanf(line, "%d%s%d%" PRId64 "%d%f", &machineid, machinename, &machinegroup, &timestamp, &temperature, &humidity);
if (counter == 0) {
sqlLen = sprintf(sql, "insert into");
}
if (lastMachineid != machineid) {
lastMachineid = machineid;
sqlLen += sprintf(sql + sqlLen, " dev%d values",
machineid);
}
sqlLen += sprintf(sql + sqlLen, "(%" PRId64 ",%d,%f)", timestamp, temperature, humidity);
counter++;
if (counter >= arguments.rowsPerRequest) {
result = taos_query(taos, sql);
code = taos_errno(result);
if (code != 0) {
printf("insert into dev%d values (%" PRId64 ",%d,%f)\n",machineid, timestamp, temperature, humidity);
printf("thread:%d error:%d reason:%s\n", pThread->threadId, code, taos_errstr(result));
}
taos_free_result(result);
totalRecords += counter;
counter = 0;
lastMachineid = -1;
sqlLen = 0;
}
}
fclose(fp);
}
if (counter > 0) {
result = taos_query(taos, sql);
code = taos_errno(result);
if (code != 0) {
// printf("insert into dev%d using devices tags(%d,'%s',%d) values (%" PRId64 ",%d,%f)",machineid, machineid, machinename, machinegroup, timestamp, temperature, humidity);
printf("thread:%d error:%d reason:%s\n", pThread->threadId, code, taos_errstr(taos));
}
taos_free_result(result);
totalRecords += counter;
}
__sync_fetch_and_add(&statis.totalRows, totalRecords);
free(sql);
}
void writeData() {
printf("write data\n");
printf("---- clients: %d\n", arguments.clients);
printf("---- dataDir: %s\n", arguments.dataDir);
printf("---- numOfFiles: %d\n", arguments.filesNum);
printf("---- rowsPerRequest: %d\n", arguments.rowsPerRequest);
taos_init();
void *taos = taos_connect("127.0.0.1", "root", "taosdata", NULL, 0);
if (taos == NULL) {
// where to find errstr?
// taos_error(NULL, taos);
printf("TDengine error: %s\n", "failed to connect");
exit(1);
}
TAOS_RES *result = taos_query(taos, "create database if not exists db");
int32_t code = taos_errno(result);
if (code != 0) {
taos_error(result, taos);
}
taos_free_result(result);
result = taos_query(taos,
"create stable if not exists db.devices(ts timestamp, temperature int, humidity float) "
"tags(devid int, devname binary(16), devgroup int)");
code = taos_errno(result);
if (code != 0) {
taos_error(result, taos);
}
taos_free_result(result);
//create tables before insert the data
result = taos_query(taos, "use db");
code = taos_errno(result);
if (code != 0) {
taos_error(result, taos);
}
taos_free_result(result);
char *sql = calloc(1, 8*1024*1024);
int sqlLen = 0;
int lastMachineid = 0;
int counter = 0;
int totalRecords = 0;
for (int i = 0; i < arguments.filesNum; i++) {
char fileName[300];
sprintf(fileName, "%s/testdata%d.csv", arguments.dataDir, i);
FILE *fp = fopen(fileName, "r");
if (fp == NULL) {
printf("failed to open file %s\n", fileName);
exit(1);
}
printf("open file %s success\n", fileName);
char *line = NULL;
size_t len = 0;
while (!feof(fp)) {
free(line);
line = NULL;
len = 0;
getline(&line, &len, fp);
if (line == NULL) break;
if (strlen(line) < 10) continue;
int machineid;
char machinename[16];
int machinegroup;
int64_t timestamp;
int temperature;
float humidity;
sscanf(line, "%d%s%d%" PRId64 "%d%f", &machineid, machinename, &machinegroup, &timestamp, &temperature, &humidity);
if (counter == 0) {
sqlLen = sprintf(sql, "create table if not exists");
}
if (lastMachineid != machineid) {
lastMachineid = machineid;
sqlLen += sprintf(sql + sqlLen, " dev%d using devices tags(%d,'%s',%d)", machineid, machineid, machinename, machinegroup);
}
counter++;
if (counter >= arguments.rowsPerRequest) {
result = taos_query(taos, sql);
code = taos_errno(result);
if (code != 0) {
printf("create table error:%d reason:%s\n", code, taos_errstr(result));
}
taos_free_result(result);
totalRecords += counter;
counter = 0;
lastMachineid = -1;
sqlLen = 0;
}
}
fclose(fp);
}
int64_t st = getTimeStampMs();
int a = arguments.filesNum / arguments.clients;
int b = arguments.filesNum % arguments.clients;
int last = 0;
ThreadObj *threads = calloc((size_t)arguments.clients, sizeof(ThreadObj));
for (int i = 0; i < arguments.clients; ++i) {
ThreadObj *pthread = threads + i;
pthread_attr_t thattr;
pthread->threadId = i + 1;
pthread->sID = last;
if (i < b) {
pthread->eID = last + a;
} else {
pthread->eID = last + a - 1;
}
last = pthread->eID + 1;
pthread_attr_init(&thattr);
pthread_attr_setdetachstate(&thattr, PTHREAD_CREATE_JOINABLE);
pthread_create(&pthread->pid, &thattr, (void *(*)(void *))writeDataImp, pthread);
}
for (int i = 0; i < arguments.clients; i++) {
pthread_join(threads[i].pid, NULL);
}
int64_t elapsed = getTimeStampMs() - st;
float seconds = (float)elapsed / 1000;
float rs = (float)statis.totalRows / seconds;
free(threads);
printf("---- Spent %f seconds to insert %" PRId64 " records, speed: %f Rows/Second\n", seconds, statis.totalRows, rs);
}
void readDataImp(void *param)
{
ThreadObj *pThread = (ThreadObj *)param;
printf("Thread %d\n", pThread->threadId);
FILE *fp = fopen(arguments.sql, "r");
if (fp == NULL) {
printf("failed to open file %s\n", arguments.sql);
exit(1);
}
printf("open file %s success\n", arguments.sql);
void *taos = taos_connect("127.0.0.1", "root", "taosdata", NULL, 0);
if (taos == NULL) {
// where to find errstr?
// taos_error(NULL, taos);
printf("TDengine error: %s\n", "failed to connect");
exit(1);
}
char *line = NULL;
size_t len = 0;
while (!feof(fp)) {
free(line);
line = NULL;
len = 0;
getline(&line, &len, fp);
if (line == NULL) break;
if (strlen(line) < 10) continue;
int64_t st = getTimeStampMs();
TAOS_RES *result = taos_query(taos, line);
int32_t code = taos_errno(result);
if (code != 0) {
taos_error(result, taos);
}
TAOS_ROW row;
int rows = 0;
//int num_fields = taos_field_count(taos);
//TAOS_FIELD *fields = taos_fetch_fields(result);
while ((row = taos_fetch_row(result))) {
rows++;
//char temp[256];
//taos_print_row(temp, row, fields, num_fields);
//printf("%s\n", temp);
}
taos_free_result(result);
int64_t elapsed = getTimeStampMs() - st;
float seconds = (float)elapsed / 1000;
printf("---- Spent %f seconds to retrieve %d records, Thread:%d query: %s\n", seconds, rows, pThread->threadId, line);
}
fclose(fp);
}
void readData() {
printf("read data\n");
printf("---- sql: %s\n", arguments.sql);
printf("---- clients: %d\n", arguments.clients);
void *taos = taos_connect("127.0.0.1", "root", "taosdata", NULL, 0);
if (taos == NULL) {
// where to find errstr?
// taos_error(NULL, taos);
printf("TDengine error: %s\n", "failed to connect");
exit(1);
}
ThreadObj *threads = calloc((size_t)arguments.clients, sizeof(ThreadObj));
for (int i = 0; i < arguments.clients; ++i) {
ThreadObj *pthread = threads + i;
pthread_attr_t thattr;
pthread->threadId = i + 1;
pthread_attr_init(&thattr);
pthread_attr_setdetachstate(&thattr, PTHREAD_CREATE_JOINABLE);
pthread_create(&pthread->pid, &thattr, (void *(*)(void *))readDataImp, pthread);
}
for (int i = 0; i < arguments.clients; i++) {
pthread_join(threads[i].pid, NULL);
}
free(threads);
}
\ No newline at end of file
tests/connectorTest/C#Test/nanosupport/TDengineDriver.cs 0 → 100644
浏览文件 @ 592ed087
/*
* Copyright (c) 2019 TAOS Data, Inc. <jhtao@taosdata.com>
*
* This program is free software: you can use, redistribute, and/or modify
* it under the terms of the GNU Affero General Public License, version 3
* or later ("AGPL"), as published by the Free Software Foundation.
*
* This program is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
using System;
using System.Collections.Generic;
using System.Runtime.InteropServices;
namespace TDengineDriver
{
enum TDengineDataType
{
TSDB_DATA_TYPE_NULL = 0, // 1 bytes
TSDB_DATA_TYPE_BOOL = 1, // 1 bytes
TSDB_DATA_TYPE_TINYINT = 2, // 1 bytes
TSDB_DATA_TYPE_SMALLINT = 3, // 2 bytes
TSDB_DATA_TYPE_INT = 4, // 4 bytes
TSDB_DATA_TYPE_BIGINT = 5, // 8 bytes
TSDB_DATA_TYPE_FLOAT = 6, // 4 bytes
TSDB_DATA_TYPE_DOUBLE = 7, // 8 bytes
TSDB_DATA_TYPE_BINARY = 8, // string
TSDB_DATA_TYPE_TIMESTAMP = 9,// 8 bytes
TSDB_DATA_TYPE_NCHAR = 10, // unicode string
TSDB_DATA_TYPE_UTINYINT = 11,// 1 byte
TSDB_DATA_TYPE_USMALLINT= 12,// 2 bytes
TSDB_DATA_TYPE_UINT = 13, // 4 bytes
TSDB_DATA_TYPE_UBIGINT= 14 // 8 bytes
}
enum TDengineInitOption
{
TSDB_OPTION_LOCALE = 0,
TSDB_OPTION_CHARSET = 1,
TSDB_OPTION_TIMEZONE = 2,
TDDB_OPTION_CONFIGDIR = 3,
TDDB_OPTION_SHELL_ACTIVITY_TIMER = 4
}
class TDengineMeta
{
public string name;
public short size;
public byte type;
public string TypeName()
{
switch ((TDengineDataType)type)
{
case TDengineDataType.TSDB_DATA_TYPE_BOOL:
return "BOOL";
case TDengineDataType.TSDB_DATA_TYPE_TINYINT:
return "TINYINT";
case TDengineDataType.TSDB_DATA_TYPE_SMALLINT:
return "SMALLINT";
case TDengineDataType.TSDB_DATA_TYPE_INT:
return "INT";
case TDengineDataType.TSDB_DATA_TYPE_BIGINT:
return "BIGINT";
case TDengineDataType.TSDB_DATA_TYPE_UTINYINT:
return "TINYINT UNSIGNED";
case TDengineDataType.TSDB_DATA_TYPE_USMALLINT:
return "SMALLINT UNSIGNED";
case TDengineDataType.TSDB_DATA_TYPE_UINT:
return "INT UNSIGNED";
case TDengineDataType.TSDB_DATA_TYPE_UBIGINT:
return "BIGINT UNSIGNED";
case TDengineDataType.TSDB_DATA_TYPE_FLOAT:
return "FLOAT";
case TDengineDataType.TSDB_DATA_TYPE_DOUBLE:
return "DOUBLE";
case TDengineDataType.TSDB_DATA_TYPE_BINARY:
return "STRING";
case TDengineDataType.TSDB_DATA_TYPE_TIMESTAMP:
return "TIMESTAMP";
case TDengineDataType.TSDB_DATA_TYPE_NCHAR:
return "NCHAR";
default:
return "undefine";
}
}
}
class TDengine
{
public const int TSDB_CODE_SUCCESS = 0;
[DllImport("taos", EntryPoint = "taos_init", CallingConvention = CallingConvention.Cdecl)]
static extern public void Init();
[DllImport("taos", EntryPoint = "taos_cleanup", CallingConvention = CallingConvention.Cdecl)]
static extern public void Cleanup();
[DllImport("taos", EntryPoint = "taos_options", CallingConvention = CallingConvention.Cdecl)]
static extern public void Options(int option, string value);
[DllImport("taos", EntryPoint = "taos_connect", CallingConvention = CallingConvention.Cdecl)]
static extern public IntPtr Connect(string ip, string user, string password, string db, short port);
[DllImport("taos", EntryPoint = "taos_errstr", CallingConvention = CallingConvention.Cdecl)]
static extern private IntPtr taos_errstr(IntPtr res);
static public string Error(IntPtr res)
{
IntPtr errPtr = taos_errstr(res);
return Marshal.PtrToStringAnsi(errPtr);
}
[DllImport("taos", EntryPoint = "taos_errno", CallingConvention = CallingConvention.Cdecl)]
static extern public int ErrorNo(IntPtr res);
[DllImport("taos", EntryPoint = "taos_query", CallingConvention = CallingConvention.Cdecl)]
static extern public IntPtr Query(IntPtr conn, string sqlstr);
[DllImport("taos", EntryPoint = "taos_affected_rows", CallingConvention = CallingConvention.Cdecl)]
static extern public int AffectRows(IntPtr res);
[DllImport("taos", EntryPoint = "taos_field_count", CallingConvention = CallingConvention.Cdecl)]
static extern public int FieldCount(IntPtr res);
[DllImport("taos", EntryPoint = "taos_fetch_fields", CallingConvention = CallingConvention.Cdecl)]
static extern private IntPtr taos_fetch_fields(IntPtr res);
static public List<TDengineMeta> FetchFields(IntPtr res)
{
const int fieldSize = 68;
List<TDengineMeta> metas = new List<TDengineMeta>();
if (res == IntPtr.Zero)
{
return metas;
}
int fieldCount = FieldCount(res);
IntPtr fieldsPtr = taos_fetch_fields(res);
for (int i = 0; i < fieldCount; ++i)
{
int offset = i * fieldSize;
TDengineMeta meta = new TDengineMeta();
meta.name = Marshal.PtrToStringAnsi(fieldsPtr + offset);
meta.type = Marshal.ReadByte(fieldsPtr + offset + 65);
meta.size = Marshal.ReadInt16(fieldsPtr + offset + 66);
metas.Add(meta);
}
return metas;
}
[DllImport("taos", EntryPoint = "taos_fetch_row", CallingConvention = CallingConvention.Cdecl)]
static extern public IntPtr FetchRows(IntPtr res);
[DllImport("taos", EntryPoint = "taos_free_result", CallingConvention = CallingConvention.Cdecl)]
static extern public IntPtr FreeResult(IntPtr res);
[DllImport("taos", EntryPoint = "taos_close", CallingConvention = CallingConvention.Cdecl)]
static extern public int Close(IntPtr taos);
//get precisionin parameter restultset
[DllImport("taos", EntryPoint = "taos_result_precision", CallingConvention = CallingConvention.Cdecl)]
static extern public int ResultPrecision(IntPtr taos);
}
}
tests/connectorTest/C#Test/nanosupport/nanotest.cs 0 → 100644
浏览文件 @ 592ed087
此差异已折叠。
tests/connectorTest/nodejsTest/nanosupport/nanosecondTest.js 0 → 100644
浏览文件 @ 592ed087
const taos = require('td2.0-connector');
var conn = taos.connect({host:"localhost", user:"root", password:"taosdata", config:"/etc/taos",port:6030})
var c1 = conn.cursor();
function checkData(sql,row,col,data){
console.log(sql)
c1.execute(sql)
var d = c1.fetchall();
let checkdata = d[row][col];
if (checkdata == data) {
console.log('check pass')
}
else{
console.log('check failed')
console.log('checked is :',checkdata)
console.log("expected is :",data)
}
}
// nano basic case
c1.execute('reset query cache')
c1.execute('drop database if exists db')
c1.execute('create database db precision "ns";')
c1.execute('use db');
c1.execute('create table tb (ts timestamp, speed int)')
c1.execute('insert into tb values(\'2021-06-10 00:00:00.100000001\', 1);')
c1.execute('insert into tb values(1623254400150000000, 2);')
c1.execute('import into tb values(1623254400300000000, 3);')
c1.execute('import into tb values(1623254400299999999, 4);')
c1.execute('insert into tb values(1623254400300000001, 5);')
c1.execute('insert into tb values(1623254400999999999, 7);')
c1.execute('insert into tb values(1623254400123456789, 8);')
sql = 'select * from tb;'
console.log('*******************************************')
console.log('this is area about checkdata result')
//check data about insert data
checkData(sql,0,0,'2021-06-10 00:00:00.100000001')
checkData(sql,1,0,'2021-06-10 00:00:00.123456789')
checkData(sql,2,0,'2021-06-10 00:00:00.150000000')
checkData(sql,3,0,'2021-06-10 00:00:00.299999999')
checkData(sql,4,0,'2021-06-10 00:00:00.300000000')
checkData(sql,5,0,'2021-06-10 00:00:00.300000001')
checkData(sql,6,0,'2021-06-10 00:00:00.999999999')
checkData(sql,0,1,1)
checkData(sql,1,1,8)
checkData(sql,2,1,2)
checkData(sql,5,1,5)
// us basic case
c1.execute('reset query cache')
c1.execute('drop database if exists usdb')
c1.execute('create database usdb precision "us";')
c1.execute('use usdb');
c1.execute('create table tb (ts timestamp, speed int)')
c1.execute('insert into tb values(\'2021-06-10 00:00:00.100001\', 1);')
c1.execute('insert into tb values(1623254400150000, 2);')
c1.execute('import into tb values(1623254400300000, 3);')
c1.execute('import into tb values(1623254400299999, 4);')
c1.execute('insert into tb values(1623254400300001, 5);')
c1.execute('insert into tb values(1623254400999999, 7);')
c1.execute('insert into tb values(1623254400123789, 8);')
sql = 'select * from tb;'
console.log('*******************************************')
//check data about insert data
checkData(sql,0,0,'2021-06-10 00:00:00.100001')
checkData(sql,1,0,'2021-06-10 00:00:00.123789')
checkData(sql,2,0,'2021-06-10 00:00:00.150000')
checkData(sql,3,0,'2021-06-10 00:00:00.299999')
checkData(sql,4,0,'2021-06-10 00:00:00.300000')
checkData(sql,5,0,'2021-06-10 00:00:00.300001')
checkData(sql,6,0,'2021-06-10 00:00:00.999999')
checkData(sql,0,1,1)
checkData(sql,1,1,8)
checkData(sql,2,1,2)
checkData(sql,5,1,5)
console.log('*******************************************')
// ms basic case
c1.execute('reset query cache')
c1.execute('drop database if exists msdb')
c1.execute('create database msdb precision "ms";')
c1.execute('use msdb');
c1.execute('create table tb (ts timestamp, speed int)')
c1.execute('insert into tb values(\'2021-06-10 00:00:00.101\', 1);')
c1.execute('insert into tb values(1623254400150, 2);')
c1.execute('import into tb values(1623254400300, 3);')
c1.execute('import into tb values(1623254400299, 4);')
c1.execute('insert into tb values(1623254400301, 5);')
c1.execute('insert into tb values(1623254400789, 7);')
c1.execute('insert into tb values(1623254400999, 8);')
sql = 'select * from tb;'
console.log('*******************************************')
console.log('this is area about checkdata result')
//check data about insert data
checkData(sql,0,0,'2021-06-10 00:00:00.101')
checkData(sql,1,0,'2021-06-10 00:00:00.150')
checkData(sql,2,0,'2021-06-10 00:00:00.299')
checkData(sql,3,0,'2021-06-10 00:00:00.300')
checkData(sql,4,0,'2021-06-10 00:00:00.301')
checkData(sql,5,0,'2021-06-10 00:00:00.789')
checkData(sql,6,0,'2021-06-10 00:00:00.999')
checkData(sql,0,1,1)
checkData(sql,1,1,2)
checkData(sql,2,1,4)
checkData(sql,5,1,7)
console.log('*******************************************')
// offfical query result to show
// console.log('this is area about fetch all data')
// var query = c1.query(sql)
// var promise = query.execute();
// promise.then(function(result) {
// result.pretty();
// });
console.log('*******************************************')
c1.execute('use db')
sql2 = 'select count(*) from tb where ts > 1623254400100000000 and ts < 1623254400100000002;'
checkData(sql2,0,0,1)
sql3 = 'select count(*) from tb where ts > \'2021-06-10 0:00:00.100000001\' and ts < \'2021-06-10 0:00:00.160000000\';'
checkData(sql3,0,0,2)
sql4 = 'select count(*) from tb where ts > 1623254400100000000 and ts < 1623254400150000000;'
checkData(sql4,0,0,2)
sql5 = 'select count(*) from tb where ts > \'2021-06-10 0:00:00.100000000\' and ts < \'2021-06-10 0:00:00.150000000\';'
checkData(sql5,0,0,2)
sql6 = 'select count(*) from tb where ts > 1623254400400000000;'
checkData(sql6,0,0,1)
sql7 = 'select count(*) from tb where ts < \'2021-06-10 00:00:00.400000000\';'
checkData(sql7,0,0,6)
sql8 = 'select count(*) from tb where ts > now + 400000000b;'
c1.execute(sql8)
sql9 = 'select count(*) from tb where ts >= \'2021-06-10 0:00:00.100000001\';'
checkData(sql9,0,0,7)
sql10 = 'select count(*) from tb where ts <= 1623254400300000000;'
checkData(sql10,0,0,5)
sql11 = 'select count(*) from tb where ts = \'2021-06-10 0:00:00.000000000\';'
c1.execute(sql11)
sql12 = 'select count(*) from tb where ts = 1623254400150000000;'
checkData(sql12,0,0,1)
sql13 = 'select count(*) from tb where ts = \'2021-06-10 0:00:00.100000001\';'
checkData(sql13,0,0,1)
sql14 = 'select count(*) from tb where ts between 1623254400000000000 and 1623254400400000000;'
checkData(sql14,0,0,6)
sql15 = 'select count(*) from tb where ts between \'2021-06-10 0:00:00.299999999\' and \'2021-06-10 0:00:00.300000001\';'
checkData(sql15,0,0,3)
sql16 = 'select avg(speed) from tb interval(5000000000b);'
checkData(sql16,0,0,'2021-06-10 00:00:00.000000000')
sql17 = 'select avg(speed) from tb interval(100000000b)'
checkData(sql17,0,1,3.6666666666666665)
checkData(sql17,1,1,4.000000000)
checkData(sql17,2,0,'2021-06-10 00:00:00.300000000')
checkData(sql17,3,0,'2021-06-10 00:00:00.900000000')
console.log("print break ")
// sql18 = 'select avg(speed) from tb interval(999b)'
// c1.execute(sql18)
console.log("print break2 ")
sql19 = 'select avg(speed) from tb interval(1u);'
checkData(sql19,2,1,2.000000000)
checkData(sql19,3,0,'2021-06-10 00:00:00.299999000')
sql20 = 'select avg(speed) from tb interval(100000000b) sliding (100000000b);'
checkData(sql20,2,1,4.000000000)
checkData(sql20,3,0,'2021-06-10 00:00:00.900000000')
sql21 = 'select last(*) from tb;'
checkData(sql21,0,0,'2021-06-10 00:00:00.999999999')
sql22 = 'select first(*) from tb;'
checkData(sql22,0,0,'2021-06-10 00:00:00.100000001')
// timezone support
console.log('testing nanosecond support in other timestamps')
c1.execute('create table tb2 (ts timestamp, speed int, ts2 timestamp);')
c1.execute('insert into tb2 values(\'2021-06-10 0:00:00.100000001\', 1, \'2021-06-11 0:00:00.100000001\');')
c1.execute('insert into tb2 values(1623254400150000000, 2, 1623340800150000000);')
c1.execute('import into tb2 values(1623254400300000000, 3, 1623340800300000000);')
c1.execute('import into tb2 values(1623254400299999999, 4, 1623340800299999999);')
c1.execute('insert into tb2 values(1623254400300000001, 5, 1623340800300000001);')
c1.execute('insert into tb2 values(1623254400999999999, 7, 1623513600999999999);')
sql23 = 'select * from tb2;'
checkData(sql23,0,0,'2021-06-10 00:00:00.100000001')
checkData(sql23,1,0,'2021-06-10 00:00:00.150000000')
checkData(sql23,2,1,4)
checkData(sql23,3,1,3)
checkData(sql23,4,2,'2021-06-11 00:00:00.300000001')
checkData(sql23,5,2,'2021-06-13 00:00:00.999999999')
sql24 = 'select count(*) from tb2 where ts2 >= \'2021-06-11 0:00:00.100000001\';'
checkData(sql24,0,0,6)
sql25 = 'select count(*) from tb2 where ts2 <= 1623340800400000000;'
checkData(sql25,0,0,5)
sql26 = 'select count(*) from tb2 where ts2 = \'2021-06-11 0:00:00.300000001\';'
checkData(sql26,0,0,1)
sql27 = 'select count(*) from tb2 where ts2 = 1623340800300000001;'
checkData(sql27,0,0,1)
sql28 = 'select count(*) from tb2 where ts2 between 1623340800000000000 and 1623340800450000000;'
checkData(sql28,0,0,5)
sql29 = 'select count(*) from tb2 where ts2 between \'2021-06-11 0:00:00.299999999\' and \'2021-06-11 0:00:00.300000001\';'
checkData(sql29,0,0,3)
sql30 = 'select count(*) from tb2 where ts2 <> 1623513600999999999;'
checkData(sql30,0,0,5)
sql31 = 'select count(*) from tb2 where ts2 <> \'2021-06-11 0:00:00.100000001\';'
checkData(sql31,0,0,5)
sql32 = 'select count(*) from tb2 where ts2 != 1623513600999999999;'
checkData(sql32,0,0,5)
sql33 = 'select count(*) from tb2 where ts2 != \'2021-06-11 0:00:00.100000001\';'
checkData(sql33,0,0,5)
c1.execute('insert into tb2 values(now + 500000000b, 6, now +2d);')
sql34 = 'select count(*) from tb2;'
checkData(sql34,0,0,7)
// check timezone support
c1.execute('use db;')
c1.execute('create stable st (ts timestamp ,speed float ) tags(time timestamp ,id int);')
c1.execute('insert into stb1 using st tags("2021-06-10 0:00:00.123456789" , 1 ) values("2021-06-10T0:00:00.123456789+07:00" , 1.0);' )
sql35 = 'select first(*) from stb1;'
checkData(sql35,0,0,'2021-06-10 01:00:00.123456789')
c1.execute('use usdb;')
c1.execute('create stable st (ts timestamp ,speed float ) tags(time timestamp ,id int);')
c1.execute('insert into stb1 using st tags("2021-06-10 0:00:00.123456" , 1 ) values("2021-06-10T0:00:00.123456+07:00" , 1.0);' )
sql36 = 'select first(*) from stb1;'
checkData(sql36,0,0,'2021-06-10 01:00:00.123456')
c1.execute('use msdb;')
c1.execute('create stable st (ts timestamp ,speed float ) tags(time timestamp ,id int);')
c1.execute('insert into stb1 using st tags("2021-06-10 0:00:00.123456" , 1 ) values("2021-06-10T0:00:00.123456+07:00" , 1.0);' )
sql36 = 'select first(*) from stb1;'
checkData(sql36,0,0,'2021-06-10 01:00:00.123')
tests/connectorTest/nodejsTest/nodetaos/cinterface.js 0 → 100644
浏览文件 @ 592ed087
此差异已折叠。
tests/connectorTest/nodejsTest/nodetaos/connection.js 0 → 100644
浏览文件 @ 592ed087
const TDengineCursor = require('./cursor')
const CTaosInterface = require('./cinterface')
module.exports = TDengineConnection;
/**
* TDengine Connection Class
* @param {object} options - Options for configuring the connection with TDengine
* @return {TDengineConnection}
* @class TDengineConnection
* @constructor
* @example
* //Initialize a new connection
* var conn = new TDengineConnection({host:"127.0.0.1", user:"root", password:"taosdata", config:"/etc/taos",port:0})
*
*/
function TDengineConnection(options) {
this._conn = null;
this._host = null;
this._user = "root"; //The default user
this._password = "taosdata"; //The default password
this._database = null;
this._port = 0;
this._config = null;
this._chandle = null;
this._configConn(options)
return this;
}
/**
* Configure the connection to TDengine
* @private
* @memberof TDengineConnection
*/
TDengineConnection.prototype._configConn = function _configConn(options) {
if (options['host']) {
this._host = options['host'];
}
if (options['user']) {
this._user = options['user'];
}
if (options['password']) {
this._password = options['password'];
}
if (options['database']) {
this._database = options['database'];
}
if (options['port']) {
this._port = options['port'];
}
if (options['config']) {
this._config = options['config'];
}
this._chandle = new CTaosInterface(this._config);
this._conn = this._chandle.connect(this._host, this._user, this._password, this._database, this._port);
}
/** Close the connection to TDengine */
TDengineConnection.prototype.close = function close() {
this._chandle.close(this._conn);
}
/**
* Initialize a new cursor to interact with TDengine with
* @return {TDengineCursor}
*/
TDengineConnection.prototype.cursor = function cursor() {
//Pass the connection object to the cursor
return new TDengineCursor(this);
}
TDengineConnection.prototype.commit = function commit() {
return this;
}
TDengineConnection.prototype.rollback = function rollback() {
return this;
}
/**
* Clear the results from connector
* @private
*/
/*
TDengineConnection.prototype._clearResultSet = function _clearResultSet() {
var result = this._chandle.useResult(this._conn).result;
if (result) {
this._chandle.freeResult(result)
}
}
*/
tests/connectorTest/nodejsTest/nodetaos/constants.js 0 → 100644
浏览文件 @ 592ed087
/**
* Contains the the definitions/values assigned to various field types
* @module FieldTypes
*/
/**
* TDengine Field Types and their type codes
* @typedef {Object} FieldTypes
* @global
* @property {number} C_NULL - Null
* @property {number} C_BOOL - Boolean. Note, 0x02 is the C_BOOL_NULL value.
* @property {number} C_TINYINT - Tiny Int, values in the range [-2^7+1, 2^7-1]. Note, -2^7 has been used as the C_TINYINT_NULL value
* @property {number} C_SMALLINT - Small Int, values in the range [-2^15+1, 2^15-1]. Note, -2^15 has been used as the C_SMALLINT_NULL value
* @property {number} C_INT - Int, values in the range [-2^31+1, 2^31-1]. Note, -2^31 has been used as the C_INT_NULL value
* @property {number} C_BIGINT - Big Int, values in the range [-2^59, 2^59].
* @property {number} C_FLOAT - Float, values in the range [-3.4E38, 3.4E38], accurate up to 6-7 decimal places.
* @property {number} C_DOUBLE - Double, values in the range [-1.7E308, 1.7E308], accurate up to 15-16 decimal places.
* @property {number} C_BINARY - Binary, encoded in utf-8.
* @property {number} C_TIMESTAMP - Timestamp in format "YYYY:MM:DD HH:MM:SS.MMM". Measured in number of milliseconds passed after
1970-01-01 08:00:00.000 GMT.
* @property {number} C_NCHAR - NChar field type encoded in ASCII, a wide string.
*
*
*
* @property {number} C_TIMESTAMP_MILLI - The code for millisecond timestamps, as returned by libtaos.taos_result_precision(result).
* @property {number} C_TIMESTAMP_MICRO - The code for microsecond timestamps, as returned by libtaos.taos_result_precision(result).
*/
module.exports = {
C_NULL : 0,
C_BOOL : 1,
C_TINYINT : 2,
C_SMALLINT : 3,
C_INT : 4,
C_BIGINT : 5,
C_FLOAT : 6,
C_DOUBLE : 7,
C_BINARY : 8,
C_TIMESTAMP : 9,
C_NCHAR : 10,
// NULL value definition
// NOTE: These values should change according to C definition in tsdb.h
C_BOOL_NULL : 2,
C_TINYINT_NULL : -128,
C_SMALLINT_NULL : -32768,
C_INT_NULL : -2147483648,
C_BIGINT_NULL : -9223372036854775808,
C_FLOAT_NULL : 2146435072,
C_DOUBLE_NULL : -9223370937343148032,
C_NCHAR_NULL : 4294967295,
C_BINARY_NULL : 255,
C_TIMESTAMP_MILLI : 0,
C_TIMESTAMP_MICRO : 1,
getType,
}
const typeCodesToName = {
0 : 'Null',
1 : 'Boolean',
2 : 'Tiny Int',
3 : 'Small Int',
4 : 'Int',
5 : 'Big Int',
6 : 'Float',
7 : 'Double',
8 : 'Binary',
9 : 'Timestamp',
10 : 'Nchar',
}
/**
* @function
* @param {number} typecode - The code to get the name of the type for
* @return {string} Name of the field type
*/
function getType(typecode) {
return typeCodesToName[typecode];
}
tests/connectorTest/nodejsTest/nodetaos/cursor.js 0 → 100644
浏览文件 @ 592ed087
此差异已折叠。
tests/connectorTest/nodejsTest/nodetaos/error.js 0 → 100644
浏览文件 @ 592ed087
/**
* TDengine Error Class
* @ignore
*/
class TDError extends Error {
constructor(args) {
super(args)
this.name = "TDError";
}
}
/** Exception raised for important warnings like data truncations while inserting.
* @ignore
*/
class Warning extends Error {
constructor(args) {
super(args)
this.name = "Warning";
}
}
/** Exception raised for errors that are related to the database interface rather than the database itself.
* @ignore
*/
class InterfaceError extends TDError {
constructor(args) {
super(args)
this.name = "TDError.InterfaceError";
}
}
/** Exception raised for errors that are related to the database.
* @ignore
*/
class DatabaseError extends TDError {
constructor(args) {
super(args)
this.name = "TDError.DatabaseError";
}
}
/** Exception raised for errors that are due to problems with the processed data like division by zero, numeric value out of range.
* @ignore
*/
class DataError extends DatabaseError {
constructor(args) {
super(args)
this.name = "TDError.DatabaseError.DataError";
}
}
/** Exception raised for errors that are related to the database's operation and not necessarily under the control of the programmer
* @ignore
*/
class OperationalError extends DatabaseError {
constructor(args) {
super(args)
this.name = "TDError.DatabaseError.OperationalError";
}
}
/** Exception raised when the relational integrity of the database is affected.
* @ignore
*/
class IntegrityError extends DatabaseError {
constructor(args) {
super(args)
this.name = "TDError.DatabaseError.IntegrityError";
}
}
/** Exception raised when the database encounters an internal error.
* @ignore
*/
class InternalError extends DatabaseError {
constructor(args) {
super(args)
this.name = "TDError.DatabaseError.InternalError";
}
}
/** Exception raised for programming errors.
* @ignore
*/
class ProgrammingError extends DatabaseError {
constructor(args) {
super(args)
this.name = "TDError.DatabaseError.ProgrammingError";
}
}
/** Exception raised in case a method or database API was used which is not supported by the database.
* @ignore
*/
class NotSupportedError extends DatabaseError {
constructor(args) {
super(args)
this.name = "TDError.DatabaseError.NotSupportedError";
}
}
module.exports = {
TDError, Warning, InterfaceError, DatabaseError, DataError, OperationalError, IntegrityError, InternalError, ProgrammingError, NotSupportedError
};
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/* Wrap a callback, reduce code amount */
function wrapCB(callback, input) {
if (typeof callback === 'function') {
callback(input);
}
return;
}
global.wrapCB = wrapCB;
function toTaosTSString(date) {
date = new Date(date);
let tsArr = date.toISOString().split("T")
return tsArr[0] + " " + tsArr[1].substring(0, tsArr[1].length-1);
}
global.toTaosTSString = toTaosTSString;
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const FieldTypes = require('./constants');
const util = require('util');
/**
* Various objects such as TaosRow and TaosColumn that help make parsing data easier
* @module TaosObjects
*
*/
/**
* The TaosRow object. Contains the data from a retrieved row from a database and functions that parse the data.
* @typedef {Object} TaosRow - A row of data retrieved from a table.
* @global
* @example
* var trow = new TaosRow(row);
* console.log(trow.data);
*/
function TaosRow(row) {
this.data = row;
this.length = row.length;
return this;
}
/**
* @typedef {Object} TaosField - A field/column's metadata from a table.
* @global
* @example
* var tfield = new TaosField(field);
* console.log(tfield.name);
*/
function TaosField(field) {
this._field = field;
this.name = field.name;
this.type = FieldTypes.getType(field.type);
return this;
}
/**
* A TaosTimestamp object, which is the standard date object with added functionality
* @global
* @memberof TaosObjects
* @param {Date} date - A Javascript date time object or the time in milliseconds past 1970-1-1 00:00:00.000
*/
class TaosTimestamp extends Date {
constructor(date, precision = 0) {
if (precision === 1) {
super(Math.floor(date / 1000));
this.precisionExtras = date % 1000;
} else if (precision === 2) {
// use BigInt to fix: 1623254400999999999 / 1000000 = 1623254401000 which not expected
super(parseInt(BigInt(date) / 1000000n));
// use BigInt to fix: 1625801548423914405 % 1000000 = 914496 which not expected (914405)
this.precisionExtras = parseInt(BigInt(date) % 1000000n);
} else {
super(parseInt(date));
}
this.precision = precision;
}
/**
* TDengine raw timestamp.
* @returns raw taos timestamp (int64)
*/
taosTimestamp() {
if (this.precision == 1) {
return (this * 1000 + this.precisionExtras);
} else if (this.precision == 2) {
return (this * 1000000 + this.precisionExtras);
} else {
return Math.floor(this);
}
}
/**
* Gets the microseconds of a Date.
* @return {Int} A microseconds integer
*/
getMicroseconds() {
if (this.precision == 1) {
return this.getMilliseconds() * 1000 + this.precisionExtras;
} else if (this.precision == 2) {
return this.getMilliseconds() * 1000 + this.precisionExtras / 1000;
} else {
return 0;
}
}
/**
* Gets the nanoseconds of a TaosTimestamp.
* @return {Int} A nanoseconds integer
*/
getNanoseconds() {
if (this.precision == 1) {
return this.getMilliseconds() * 1000000 + this.precisionExtras * 1000;
} else if (this.precision == 2) {
return this.getMilliseconds() * 1000000 + this.precisionExtras;
} else {
return 0;
}
}
/**
* @returns {String} a string for timestamp string format
*/
_precisionExtra() {
if (this.precision == 1) {
return String(this.precisionExtras).padStart(3, '0');
} else if (this.precision == 2) {
return String(this.precisionExtras).padStart(6, '0');
} else {
return '';
}
}
/**
* @function Returns the date into a string usable by TDengine
* @return {string} A Taos Timestamp String
*/
toTaosString() {
var tzo = -this.getTimezoneOffset(),
dif = tzo >= 0 ? '+' : '-',
pad = function (num) {
var norm = Math.floor(Math.abs(num));
return (norm < 10 ? '0' : '') + norm;
},
pad2 = function (num) {
var norm = Math.floor(Math.abs(num));
if (norm < 10) return '00' + norm;
if (norm < 100) return '0' + norm;
if (norm < 1000) return norm;
};
return this.getFullYear() +
'-' + pad(this.getMonth() + 1) +
'-' + pad(this.getDate()) +
' ' + pad(this.getHours()) +
':' + pad(this.getMinutes()) +
':' + pad(this.getSeconds()) +
'.' + pad2(this.getMilliseconds()) +
'' + this._precisionExtra();
}
/**
* Custom console.log
* @returns {String} string format for debug
*/
[util.inspect.custom](depth, opts) {
return this.toTaosString() + JSON.stringify({ precision: this.precision, precisionExtras: this.precisionExtras }, opts);
}
toString() {
return this.toTaosString();
}
}
module.exports = { TaosRow, TaosField, TaosTimestamp }
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var TaosResult = require('./taosresult')
require('./globalfunc.js')
module.exports = TaosQuery;
/**
* @class TaosQuery
* @classdesc The TaosQuery class is one level above the TDengine Cursor in that it makes sure to generally return promises from functions, and wrap
* all data with objects such as wrapping a row of data with Taos Row. This is meant to enable an higher level API that allows additional
* functionality and save time whilst also making it easier to debug and enter less problems with the use of promises.
* @param {string} query - Query to construct object from
* @param {TDengineCursor} cursor - The cursor from which this query will execute from
* @param {boolean} execute - Whether or not to immedietely execute the query synchronously and fetch all results. Default is false.
* @property {string} query - The current query in string format the TaosQuery object represents
* @return {TaosQuery}
* @since 1.0.6
*/
function TaosQuery(query = "", cursor = null, execute = false) {
this.query = query;
this._cursor = cursor;
if (execute == true) {
return this.execute();
}
return this;
}
/**
* Executes the query object and returns a Promise
* @memberof TaosQuery
* @return {Promise<TaosResult>} A promise that resolves with a TaosResult object, or rejects with an error
* @since 1.0.6
*/
TaosQuery.prototype.execute = async function execute() {
var taosQuery = this; //store the current instance of taosQuery to avoid async issues?
var executionPromise = new Promise(function(resolve, reject) {
let data = [];
let fields = [];
let result;
try {
taosQuery._cursor.execute(taosQuery.query);
if (taosQuery._cursor._fields) fields = taosQuery._cursor._fields;
if (taosQuery._cursor._result != null) data = taosQuery._cursor.fetchall();
result = new TaosResult(data, fields)
}
catch(err) {
reject(err);
}
resolve(result)
});
return executionPromise;
}
/**
* Executes the query object asynchronously and returns a Promise. Completes query to completion.
* @memberof TaosQuery
* @param {Object} options - Execution options
* @return {Promise<TaosResult>} A promise that resolves with a TaosResult object, or rejects with an error
* @since 1.2.0
*/
TaosQuery.prototype.execute_a = async function execute_a(options = {}) {
var executionPromise = new Promise( (resolve, reject) => {
});
var fres;
var frej;
var fetchPromise = new Promise( (resolve, reject) => {
fres = resolve;
frej = reject;
});
let asyncCallbackFetchall = async function(param, res, numOfRows, blocks) {
if (numOfRows > 0) {
// Likely a query like insert
fres();
}
else {
fres(new TaosResult(blocks.data, blocks.fields));
}
}
let asyncCallback = async function(param, res, code) {
//upon success, we fetchall results
this._cursor.fetchall_a(res, options, asyncCallbackFetchall, {});
}
this._cursor.execute_a(this.query, asyncCallback.bind(this), {});
return fetchPromise;
}
/**
* Bind arguments to the query and automatically parses them into the right format
* @param {array | ...args} args - A number of arguments to bind to each ? in the query
* @return {TaosQuery}
* @example
* // An example of binding a javascript date and a number to a query
* var query = cursor.query("select count(*) from meterinfo.meters where ts <= ? and areaid = ?").bind(new Date(), 3);
* var promise1 = query.execute();
* promise1.then(function(result) {
* result.pretty(); // Log the prettified version of the results.
* });
* @since 1.0.6
*/
TaosQuery.prototype.bind = function bind(f, ...args) {
if (typeof f == 'object' && f.constructor.name != 'Array') args.unshift(f); //param is not an array object
else if (typeof f != 'object') args.unshift(f);
else { args = f; }
args.forEach(function(arg) {
if (arg.constructor.name == 'TaosTimestamp') arg = "\"" + arg.toTaosString() + "\"";
else if (arg.constructor.name == 'Date') arg = "\"" + toTaosTSString(arg) + "\"";
else if (typeof arg == 'string') arg = "\"" + arg + "\"";
this.query = this.query.replace(/\?/,arg);
}, this);
return this;
}
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