Storm components for interacting with HDFS file systems
The following example will write pipe("|")-delimited files to the HDFS path hdfs://localhost:54310/foo. After every 1,000 tuples it will sync filesystem, making that data visible to other HDFS clients. It will rotate files when they reach 5 megabytes in size.
// use "|" instead of "," for field delimiter
RecordFormat format = new DelimitedRecordFormat()
.withFieldDelimiter("|");
// sync the filesystem after every 1k tuples
SyncPolicy syncPolicy = new CountSyncPolicy(1000);
// rotate files when they reach 5MB
FileRotationPolicy rotationPolicy = new FileSizeRotationPolicy(5.0f, Units.MB);
FileNameFormat fileNameFormat = new DefaultFileNameFormat()
.withPath("/foo/");
HdfsBolt bolt = new HdfsBolt()
.withFsUrl("hdfs://localhost:54310")
.withFileNameFormat(fileNameFormat)
.withRecordFormat(format)
.withRotationPolicy(rotationPolicy)
.withSyncPolicy(syncPolicy);When packaging your topology, it's important that you use the maven-shade-plugin as opposed to the maven-assembly-plugin.
The shade plugin provides facilities for merging JAR manifest entries, which the hadoop client leverages for URL scheme resolution.
If you experience errors such as the following:
java.lang.RuntimeException: Error preparing HdfsBolt: No FileSystem for scheme: hdfs
it's an indication that your topology jar file isn't packaged properly.
If you are using maven to create your topology jar, you should use the following maven-shade-plugin configuration to
create your topology jar:
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>1.4</version>
<configuration>
<createDependencyReducedPom>true</createDependencyReducedPom>
</configuration>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer
implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/>
<transformer
implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass></mainClass>
</transformer>
</transformers>
</configuration>
</execution>
</executions>
</plugin>
By default, storm-hdfs uses the following Hadoop dependencies:
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>2.2.0</version>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>2.2.0</version>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
</exclusions>
</dependency>If you are using a different version of Hadoop, you should exclude the Hadoop libraries from the storm-hdfs dependency and add the dependencies for your preferred version in your pom.
Hadoop client version incompatibilites can manifest as errors like:
com.google.protobuf.InvalidProtocolBufferException: Protocol message contained an invalid tag (zero)
Record format can be controlled by providing an implementation of the org.apache.storm.hdfs.format.RecordFormat
interface:
public interface RecordFormat extends Serializable {
byte[] format(Tuple tuple);
}The provided org.apache.storm.hdfs.format.DelimitedRecordFormat is capable of producing formats such as CSV and
tab-delimited files.
File naming can be controlled by providing an implementation of the org.apache.storm.hdfs.format.FileNameFormat
interface:
public interface FileNameFormat extends Serializable {
void prepare(Map conf, TopologyContext topologyContext);
String getName(long rotation, long timeStamp);
String getPath();
}The provided org.apache.storm.hdfs.format.DefaultFileNameFormat will create file names with the following format:
{prefix}{componentId}-{taskId}-{rotationNum}-{timestamp}{extension}
For example:
MyBolt-5-7-1390579837830.txt
By default, prefix is empty and extenstion is ".txt".
Sync policies allow you to control when buffered data is flushed to the underlying filesystem (thus making it available
to clients reading the data) by implementing the org.apache.storm.hdfs.sync.SyncPolicy interface:
public interface SyncPolicy extends Serializable {
boolean mark(Tuple tuple, long offset);
void reset();
}The HdfsBolt will call the mark() method for every tuple it processes. Returning true will trigger the HdfsBolt
to perform a sync/flush, after which it will call the reset() method.
The org.apache.storm.hdfs.sync.CountSyncPolicy class simply triggers a sync after the specified number of tuples have
been processed.
Similar to sync policies, file rotation policies allow you to control when data files are rotated by providing a
org.apache.storm.hdfs.rotation.FileRotation interface:
public interface FileRotationPolicy extends Serializable {
boolean mark(Tuple tuple, long offset);
void reset();
}The org.apache.storm.hdfs.rotation.FileSizeRotationPolicy implementation allows you to trigger file rotation when
data files reach a specific file size:
FileRotationPolicy rotationPolicy = new FileSizeRotationPolicy(5.0f, Units.MB);Both the HDFS bolt and Trident State implementation allow you to register any number of RotationActions.
What RotationActions do is provide a hook to allow you to perform some action right after a file is rotated. For
example, moving a file to a different location or renaming it.
public interface RotationAction extends Serializable {
void execute(FileSystem fileSystem, Path filePath) throws IOException;
}Storm-HDFS includes a simple action that will move a file after rotation:
public class MoveFileAction implements RotationAction {
private static final Logger LOG = LoggerFactory.getLogger(MoveFileAction.class);
private String destination;
public MoveFileAction withDestination(String destDir){
destination = destDir;
return this;
}
@Override
public void execute(FileSystem fileSystem, Path filePath) throws IOException {
Path destPath = new Path(destination, filePath.getName());
LOG.info("Moving file {} to {}", filePath, destPath);
boolean success = fileSystem.rename(filePath, destPath);
return;
}
}If you are using Trident and sequence files you can do something like this:
HdfsState.Options seqOpts = new HdfsState.SequenceFileOptions()
.withFileNameFormat(fileNameFormat)
.withSequenceFormat(new DefaultSequenceFormat("key", "data"))
.withRotationPolicy(rotationPolicy)
.withFsUrl("hdfs://localhost:54310")
.addRotationAction(new MoveFileAction().withDestination("/dest2/"));The org.apache.storm.hdfs.bolt.SequenceFileBolt class allows you to write storm data to HDFS sequence files:
// sync the filesystem after every 1k tuples
SyncPolicy syncPolicy = new CountSyncPolicy(1000);
// rotate files when they reach 5MB
FileRotationPolicy rotationPolicy = new FileSizeRotationPolicy(5.0f, Units.MB);
FileNameFormat fileNameFormat = new DefaultFileNameFormat()
.withExtension(".seq")
.withPath("/data/");
// create sequence format instance.
DefaultSequenceFormat format = new DefaultSequenceFormat("timestamp", "sentence");
SequenceFileBolt bolt = new SequenceFileBolt()
.withFsUrl("hdfs://localhost:54310")
.withFileNameFormat(fileNameFormat)
.withSequenceFormat(format)
.withRotationPolicy(rotationPolicy)
.withSyncPolicy(syncPolicy)
.withCompressionType(SequenceFile.CompressionType.RECORD)
.withCompressionCodec("deflate");The SequenceFileBolt requires that you provide a org.apache.storm.hdfs.bolt.format.SequenceFormat that maps tuples to
key/value pairs:
public interface SequenceFormat extends Serializable {
Class keyClass();
Class valueClass();
Writable key(Tuple tuple);
Writable value(Tuple tuple);
}storm-hdfs also includes a Trident state implementation for writing data to HDFS, with an API that closely mirrors
that of the bolts.
Fields hdfsFields = new Fields("field1", "field2");
FileNameFormat fileNameFormat = new DefaultFileNameFormat()
.withPath("/trident")
.withPrefix("trident")
.withExtension(".txt");
RecordFormat recordFormat = new DelimitedRecordFormat()
.withFields(hdfsFields);
FileRotationPolicy rotationPolicy = new FileSizeRotationPolicy(5.0f, FileSizeRotationPolicy.Units.MB);
HdfsState.Options options = new HdfsState.HdfsFileOptions()
.withFileNameFormat(fileNameFormat)
.withRecordFormat(recordFormat)
.withRotationPolicy(rotationPolicy)
.withFsUrl("hdfs://localhost:54310");
StateFactory factory = new HdfsStateFactory().withOptions(options);
TridentState state = stream
.partitionPersist(factory, hdfsFields, new HdfsUpdater(), new Fields());To use the sequence file State implementation, use the HdfsState.SequenceFileOptions:
HdfsState.Options seqOpts = new HdfsState.SequenceFileOptions()
.withFileNameFormat(fileNameFormat)
.withSequenceFormat(new DefaultSequenceFormat("key", "data"))
.withRotationPolicy(rotationPolicy)
.withFsUrl("hdfs://localhost:54310")
.addRotationAction(new MoveFileAction().toDestination("/dest2/"));Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you 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.
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