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体验新版 GitCode,发现更多精彩内容 >>
提交
cef2a4d0
编写于
7月 14, 2014
作者:
G
gaborhermann
提交者:
Stephan Ewen
8月 18, 2014
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电子邮件补丁
差异文件
[streaming] Added WordCountDummySource for simpler testing
上级
38d108aa
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
213 addition
and
35 deletion
+213
-35
flink-addons/flink-streaming/src/main/java/eu/stratosphere/streaming/api/FaultToleranceBuffer.java
...a/eu/stratosphere/streaming/api/FaultToleranceBuffer.java
+52
-34
flink-addons/flink-streaming/src/main/java/eu/stratosphere/streaming/test/wordcount/WordCount.java
...a/eu/stratosphere/streaming/test/wordcount/WordCount.java
+1
-1
flink-addons/flink-streaming/src/main/java/eu/stratosphere/streaming/test/wordcount/WordCountDummySource.java
...sphere/streaming/test/wordcount/WordCountDummySource.java
+27
-0
flink-addons/flink-streaming/src/main/java/eu/stratosphere/streaming/test/wordcount/WordCountLocal.java
...stratosphere/streaming/test/wordcount/WordCountLocal.java
+133
-0
未找到文件。
flink-addons/flink-streaming/src/main/java/eu/stratosphere/streaming/api/FaultToleranceBuffer.java
浏览文件 @
cef2a4d0
...
...
@@ -26,13 +26,14 @@ import java.util.TreeMap;
import
eu.stratosphere.nephele.io.RecordWriter
;
/** An object to provide fault tolerance for Stratosphere stream processing.
* It works as a buffer to hold StreamRecords for a task for re-emitting failed, or timed out records.
/**
* An object to provide fault tolerance for Stratosphere stream processing. It
* works as a buffer to hold StreamRecords for a task for re-emitting failed, or
* timed out records.
*/
public
class
FaultToleranceBuffer
{
private
long
TIMEOUT
=
1000
;
private
Long
timeOfLastUpdate
;
private
Map
<
String
,
StreamRecord
>
recordBuffer
;
private
Map
<
String
,
Integer
>
ackCounter
;
...
...
@@ -44,12 +45,14 @@ public class FaultToleranceBuffer {
private
int
numberOfOutputs
;
/**Creates fault tolerance buffer object for the given output channels and channel ID
/**
* Creates fault tolerance buffer object for the given output channels and
* channel ID
*
* @param outputs
* List of outputs
*
List of outputs
* @param channelID
* ID of the task object that uses this buffer
*
ID of the task object that uses this buffer
*/
public
FaultToleranceBuffer
(
List
<
RecordWriter
<
StreamRecord
>>
outputs
,
String
channelID
)
{
...
...
@@ -63,9 +66,11 @@ public class FaultToleranceBuffer {
this
.
recordTimestamps
=
new
HashMap
<
String
,
Long
>();
}
/** Adds the record to the fault tolerance buffer. This record will be monitored for acknowledgements and timeout.
*
*/
/**
* Adds the record to the fault tolerance buffer. This record will be
* monitored for acknowledgements and timeout.
*
*/
public
void
addRecord
(
StreamRecord
streamRecord
)
{
recordBuffer
.
put
(
streamRecord
.
getId
(),
streamRecord
);
...
...
@@ -73,18 +78,20 @@ public class FaultToleranceBuffer {
addTimestamp
(
streamRecord
.
getId
());
}
/** Checks for records that have timed out since the last check and fails them.
/**
* Checks for records that have timed out since the last check and fails
* them.
*
* @param currentTime
*
Time when the check should be made, usually current system time.
*
@return
* Returns the list of the records that have timed out.
*
Time when the check should be made, usually current system
*
time.
*
@return
Returns the list of the records that have timed out.
*/
List
<
String
>
timeoutRecords
(
Long
currentTime
)
{
if
(
timeOfLastUpdate
+
TIMEOUT
<
currentTime
)
{
List
<
String
>
timedOutRecords
=
new
LinkedList
<
String
>();
Map
<
Long
,
Set
<
String
>>
timedOut
=
recordsByTime
.
subMap
(
0L
,
currentTime
-
TIMEOUT
);
Map
<
Long
,
Set
<
String
>>
timedOut
=
recordsByTime
.
subMap
(
0L
,
currentTime
-
TIMEOUT
);
for
(
Set
<
String
>
recordSet
:
timedOut
.
values
())
{
if
(!
recordSet
.
isEmpty
())
{
...
...
@@ -105,13 +112,15 @@ public class FaultToleranceBuffer {
return
null
;
}
/**Stores time stamp for a record by recordID
* and also adds the record to a map which maps a time stamp to the IDs of records that were emitted at that time.
/**
* Stores time stamp for a record by recordID and also adds the record to a
* map which maps a time stamp to the IDs of records that were emitted at
* that time.
* <p>
* Later used for timeouts.
*
* @param recordID
* ID of the record
*
ID of the record
*/
public
void
addTimestamp
(
String
recordID
)
{
Long
currentTime
=
System
.
currentTimeMillis
();
...
...
@@ -126,10 +135,11 @@ public class FaultToleranceBuffer {
}
}
/**Returns a StreamRecord after removing it from the buffer
/**
* Returns a StreamRecord after removing it from the buffer
*
* @param recordID
*
The ID of the record that will be popped
*
The ID of the record that will be popped
*/
public
StreamRecord
popRecord
(
String
recordID
)
{
System
.
out
.
println
(
"Pop ID: "
+
recordID
);
...
...
@@ -138,9 +148,12 @@ public class FaultToleranceBuffer {
return
record
;
}
/** Removes a StreamRecord by ID from the fault tolerance buffer, further acks will have no effects for this record.
/**
* Removes a StreamRecord by ID from the fault tolerance buffer, further
* acks will have no effects for this record.
*
* @param recordID
* The ID of the record that will be removed
*
The ID of the record that will be removed
*
*/
void
removeRecord
(
String
recordID
)
{
...
...
@@ -157,12 +170,14 @@ public class FaultToleranceBuffer {
}
}
/**Acknowledges the record of the given ID, if all the outputs have sent acknowledgments, removes it from the buffer
/**
* Acknowledges the record of the given ID, if all the outputs have sent
* acknowledgments, removes it from the buffer
*
* @param recordID
* ID of the record that has been acknowledged
*
ID of the record that has been acknowledged
*/
//TODO: find a place to call timeoutRecords
//
TODO: find a place to call timeoutRecords
public
void
ackRecord
(
String
recordID
)
{
if
(
ackCounter
.
containsKey
(
recordID
))
{
int
ackCount
=
ackCounter
.
get
(
recordID
)
-
1
;
...
...
@@ -173,13 +188,15 @@ public class FaultToleranceBuffer {
ackCounter
.
put
(
recordID
,
ackCount
);
}
}
//timeoutRecords(System.currentTimeMillis());
//
timeoutRecords(System.currentTimeMillis());
}
/**Re-emits the failed record for the given ID, removes the old record and stores it with a new ID.
/**
* Re-emits the failed record for the given ID, removes the old record and
* stores it with a new ID.
*
* @param recordID
* ID of the record that has been failed
*
ID of the record that has been failed
*/
public
void
failRecord
(
String
recordID
)
{
// Create new id to avoid double counting acks
...
...
@@ -188,12 +205,13 @@ public class FaultToleranceBuffer {
addRecord
(
newRecord
);
reEmit
(
newRecord
);
}
/**
* Emit give record to all output channels
* @param record
* Record to be re-emitted
*/
/**
* Emit give record to all output channels
*
* @param record
* Record to be re-emitted
*/
public
void
reEmit
(
StreamRecord
record
)
{
for
(
RecordWriter
<
StreamRecord
>
output
:
outputs
)
{
try
{
...
...
flink-addons/flink-streaming/src/main/java/eu/stratosphere/streaming/test/wordcount/WordCount.java
浏览文件 @
cef2a4d0
...
...
@@ -25,7 +25,7 @@ public class WordCount extends TestBase2 {
@Override
public
JobGraph
getJobGraph
()
{
JobGraphBuilder
graphBuilder
=
new
JobGraphBuilder
(
"testGraph"
);
graphBuilder
.
setSource
(
"WordCountSource"
,
WordCountSource
.
class
);
graphBuilder
.
setSource
(
"WordCountSource"
,
WordCount
Dummy
Source
.
class
);
graphBuilder
.
setTask
(
"WordCountSplitter"
,
WordCountSplitter
.
class
,
2
);
graphBuilder
.
setTask
(
"WordCountCounter"
,
WordCountCounter
.
class
,
2
);
graphBuilder
.
setSink
(
"WordCountSink"
,
WordCountSink
.
class
);
...
...
flink-addons/flink-streaming/src/main/java/eu/stratosphere/streaming/test/wordcount/WordCountDummySource.java
0 → 100644
浏览文件 @
cef2a4d0
package
eu.stratosphere.streaming.test.wordcount
;
import
eu.stratosphere.streaming.api.StreamRecord
;
import
eu.stratosphere.streaming.api.invokable.UserSourceInvokable
;
import
eu.stratosphere.types.StringValue
;
import
eu.stratosphere.types.Value
;
public
class
WordCountDummySource
extends
UserSourceInvokable
{
private
String
line
=
new
String
();
private
StringValue
lineValue
=
new
StringValue
();
private
Value
[]
values
=
new
StringValue
[
1
];
public
WordCountDummySource
()
{
line
=
"first second"
;
lineValue
.
setValue
(
line
);
values
[
0
]
=
lineValue
;
}
@Override
public
void
invoke
()
throws
Exception
{
for
(
int
i
=
0
;
i
<
1
;
i
++)
{
emit
(
new
StreamRecord
(
values
));
System
.
out
.
println
(
"xxxxxxxxx"
);
}
}
}
flink-addons/flink-streaming/src/main/java/eu/stratosphere/streaming/test/wordcount/WordCountLocal.java
0 → 100644
浏览文件 @
cef2a4d0
/***********************************************************************************************************************
*
* Copyright (C) 2010-2014 by the Stratosphere project (http://stratosphere.eu)
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
* an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
* specific language governing permissions and limitations under the License.
*
**********************************************************************************************************************/
package
eu.stratosphere.streaming.test.wordcount
;
import
org.apache.hadoop.fs.FileSystem
;
import
org.apache.log4j.Level
;
import
org.junit.Assert
;
import
eu.stratosphere.client.minicluster.NepheleMiniCluster
;
import
eu.stratosphere.configuration.Configuration
;
import
eu.stratosphere.nephele.client.JobClient
;
import
eu.stratosphere.nephele.jobgraph.JobGraph
;
import
eu.stratosphere.streaming.api.JobGraphBuilder
;
import
eu.stratosphere.types.StringValue
;
import
eu.stratosphere.util.LogUtils
;
public
class
WordCountLocal
{
private
static
final
int
MINIMUM_HEAP_SIZE_MB
=
192
;
protected
final
Configuration
config
;
private
NepheleMiniCluster
executor
;
public
WordCountLocal
()
{
this
(
new
Configuration
());
}
public
WordCountLocal
(
Configuration
config
)
{
verifyJvmOptions
();
this
.
config
=
config
;
LogUtils
.
initializeDefaultConsoleLogger
(
Level
.
WARN
);
}
private
void
verifyJvmOptions
()
{
long
heap
=
Runtime
.
getRuntime
().
maxMemory
()
>>
20
;
Assert
.
assertTrue
(
"Insufficient java heap space "
+
heap
+
"mb - set JVM option: -Xmx"
+
MINIMUM_HEAP_SIZE_MB
+
"m"
,
heap
>
MINIMUM_HEAP_SIZE_MB
-
50
);
}
public
void
startCluster
()
throws
Exception
{
this
.
executor
=
new
NepheleMiniCluster
();
this
.
executor
.
setDefaultOverwriteFiles
(
true
);
this
.
executor
.
start
();
}
public
void
stopCluster
()
throws
Exception
{
try
{
if
(
this
.
executor
!=
null
)
{
this
.
executor
.
stop
();
this
.
executor
=
null
;
FileSystem
.
closeAll
();
System
.
gc
();
}
}
finally
{
}
}
public
void
runJob
()
throws
Exception
{
// submit job
JobGraph
jobGraph
=
null
;
try
{
jobGraph
=
getJobGraph
();
}
catch
(
Exception
e
)
{
System
.
err
.
println
(
e
.
getMessage
());
e
.
printStackTrace
();
Assert
.
fail
(
"Failed to obtain JobGraph!"
);
}
Assert
.
assertNotNull
(
"Obtained null JobGraph"
,
jobGraph
);
try
{
JobClient
client
=
null
;
try
{
client
=
this
.
executor
.
getJobClient
(
jobGraph
);
}
catch
(
Exception
e
)
{
System
.
err
.
println
(
"here"
);
}
client
.
submitJobAndWait
();
}
catch
(
Exception
e
)
{
System
.
err
.
println
(
e
.
getMessage
());
e
.
printStackTrace
();
Assert
.
fail
(
"Job execution failed!"
);
}
}
protected
JobGraph
getJobGraph
()
throws
Exception
{
JobGraphBuilder
graphBuilder
=
new
JobGraphBuilder
(
"testGraph"
);
graphBuilder
.
setSource
(
"WordCountSource"
,
WordCountSource
.
class
);
graphBuilder
.
setTask
(
"WordCountSplitter"
,
WordCountSplitter
.
class
,
2
);
graphBuilder
.
setTask
(
"WordCountCounter"
,
WordCountCounter
.
class
,
2
);
graphBuilder
.
setSink
(
"WordCountSink"
,
WordCountSink
.
class
);
graphBuilder
.
broadcastConnect
(
"WordCountSource"
,
"WordCountSplitter"
);
graphBuilder
.
fieldsConnect
(
"WordCountSplitter"
,
"WordCountCounter"
,
0
,
StringValue
.
class
);
graphBuilder
.
broadcastConnect
(
"WordCountCounter"
,
"WordCountSink"
);
return
graphBuilder
.
getJobGraph
();
}
public
static
void
main
(
String
[]
args
){
WordCountLocal
wC
=
new
WordCountLocal
();
try
{
wC
.
startCluster
();
wC
.
runJob
();
wC
.
stopCluster
();
}
catch
(
Exception
e
)
{}
}
}
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