- 13 5月, 2020 35 次提交
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由 Robert Metzger 提交于
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由 Robert Metzger 提交于
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由 Robert Metzger 提交于
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由 Robert Metzger 提交于
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由 Leonard Xu 提交于
(1) Use Jdbc instead of JDBC. (2) Move interfaces and classes to org.apache.flink.connector.jdbc. (3) Keep ancient JDBCOutputFormat, JDBCInputFormat and ParameterValuesProvider in old package. (4) Add tests/ITCase for ancient Classes and new classes. (5) rename flink-jdbc module to flink-connector-jdbc. (6) update docs. This closes #12036
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由 Kostas Kloudas 提交于
This closes #12109.
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由 Robert Metzger 提交于
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由 Robert Metzger 提交于
As part of FLINK-16411, we introduced a run_mvn bash function. A side effect of this is that the watchdog was killing the run_mvn function call, but not the child process of that function (in this case) Maven. With this change, we are killing the function and all children of that function. Reference: https://stackoverflow.com/questions/2618403/how-to-kill-all-subprocesses-of-shell
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由 Roman Khachatryan 提交于
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由 Jark Wu 提交于
[hotfix][FLINK-17591][table-planner] Fix TableEnvironmentITCase.testExecuteSqlAndToDataStream failed
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由 Xintong Song 提交于
[FLINK-15154][runtime] Use local actor system for metrics query service when using single prc service mode in local execution. This closes #12022.
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由 Xintong Song 提交于
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由 SteNicholas 提交于
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由 SteNicholas 提交于
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由 Jark Wu 提交于
This closes #12086
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由 Jark Wu 提交于
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由 Rui Li 提交于
* [FLINK-17431][sql-parser-hive][hive] Implement table DDLs for Hive dialect part 1 * address comments and fix collection delim * renaming * rebase * remove unused property * don't support bytes * add enums for hive constraint traits * store NN col names and add test * disallow varchar w/o precision * fix unparse for describe table * fix unparse row format * fix col type unparse * address comments
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由 Jark Wu 提交于
This closes #12099
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由 godfrey he 提交于
which includes: TableEnvironment.sqlUpdate(String) TableEnvironment.insertInto(String, Table) TableEnvironment.execute(String) TableEnvironment.explain(boolean) TableEnvironment.fromTableSource(TableSource<?>) Table.insertInto(String) Please use TableEnvironment#executeSql for single statement, use Table#executeInsert for single sink, use TableEnvironment#createStatementSet for multiple sinks. This closes #11297
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由 Wei Zhong 提交于
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由 Shuiqiang Chen 提交于
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由 Dawid Wysakowicz 提交于
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由 Dawid Wysakowicz 提交于
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由 Dawid Wysakowicz 提交于
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由 Dawid Wysakowicz 提交于
collector in KafkaDeserializationSchemaWrapper
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由 Dawid Wysakowicz 提交于
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由 Arvid Heise 提交于
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由 Arvid Heise 提交于
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由 Arvid Heise 提交于
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由 Arvid Heise 提交于
When a downstream tasks starts snapshotting input before the upstream task finished snapshotting output, it may happen that a buffer is neither snapshotted upstream or downstream. This commit replicates the logic of RemoteInputChannel to also store these buffers.
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由 Arvid Heise 提交于
Priority event listener currently does not snapshot any buffers and causes additional synchronization points. We should re-enable/re-evaluate this concept once a proper threading model has been established on input side.
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由 Piotr Nowojski 提交于
Released deserializers cause NPE in StreamTaskNetworkInput#prepareSnapshot.
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由 Piotr Nowojski 提交于
[FLINK-17640][network] Temporarily disable unstable RecoveredInputChannelTest#testConcurrentReadStateAndProcessAndRelease
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由 Kostas Kloudas 提交于
This PR renames the entrypoint but DOES NOT change the scripts as this would be a breaking change for already existing deployments and such a change would require a more thorough and more visible discussion with the community. This closes #12087.
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由 Kostas Kloudas 提交于
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- 12 5月, 2020 5 次提交
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由 Aljoscha Krettek 提交于
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由 wangyang0918 提交于
Currently, for every job execution, the flink lib jars are uploaded to hdfs and then register as Yarn local resources. This PR introduces the yarn.provided.lib.dirs YARN option which allows users to specify HDFS paths to dirs that contain files to be shared across applications, e.g. the FLINK-DIST jar. This makes job submission more efficient as it allows for two optimizations: * Use pre-uploaded flink binary to avoid uploading of flink system jars * By default, the resource visibility for the shared libs is set to PUBLIC so that they will be downloaded only once and shared for all tasks running on the same node. This will make launching a container faster. A command that leverages this feature looks like the following: ./bin/flink run -m yarn-cluster -d \ -yD yarn.provided.lib.dirs="hdfs://$namenode_address/flink-lib/flink-1.11-SNAPSHOT/lib;hdfs://$namenode_address/flink-lib/flink-1.11-SNAPSHOT/plugins" \ examples/streaming/WindowJoin.jar This closes #12040.
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由 wangyang0918 提交于
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由 Roman Khachatryan 提交于
Motivation: current behavior of forcing savepoints causes excess of max-concurrent-checkpoints limit. Which violates current Unaligned Checkpoints (UC) assumption of a single concurrent barrier. Changes: 1. Remove periodicTriggeringSuspended. Instead, if periodic request can't be executed now is ignored. 2. Check queue before executing a new request (not after). 3. Execute queued request when pending checkpoint is completed (instead of resuming timer). 4. Don't set CheckpointRequest.force in UC mode. 5. Change requests queue to PriorityQueue to prioritize savepoints. Limit its size. 6. For savepoints, if running in UC mode and limit is reached then enqueue request instead of forcing it 7. Don't throw trigger exceptions. CheckpointFailureManager ignores them
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由 Roman Khachatryan 提交于
Pre-requsite refactoring to change decision logic
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