Samza Configuration Reference

diff --git a/docs/archive/index.html b/docs/archive/index.html new file mode 100644 index 0000000..beb91c7 --- /dev/null +++ b/docs/archive/index.html @@ -0,0 +1,28 @@ +--- +layout: page +title: Documentation +--- + + +

0.7.0 Release

+ +

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Parameter name	Value	Meaning
systems.<system>. streams.<stream>. samza.reset.offset	false (default)	When container starts up, resume processing from last checkpoint
true	Ignore checkpoint (pretend that no checkpoint is present)
systems.<system>. streams.<stream>. samza.offset.default	upcoming (default)	When container starts and there is no checkpoint (or the checkpoint is ignored), only process messages that are published after the job is started, but no old messages
oldest	When container starts and there is no checkpoint (or the checkpoint is ignored), jump back to the oldest available message in the system, and consume all messages from that point onwards (most likely this means repeated processing of messages already seen previously)

Task instance	Consumes stream partitions
0	stream A partition 0, stream B partition 0
1	stream A partition 1, stream B partition 1
2	stream A partition 2, stream B partition 2
3	stream A partition 3, stream B partition 3

Introduction

- -
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Background
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Concepts
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Architecture
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- -
Comparisons
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Introduction
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MUPD8
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Storm
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Spark Streaming
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- -
API
- -
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Overview
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Javadocs
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- -
Container
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SamzaContainer
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Streams
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Serialization
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Checkpointing
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State Management
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Metrics
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Windowing
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Event Loop
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JMX
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- -
Jobs
- -
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JobRunner
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Configuration
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Packaging
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YARN Jobs
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Logging
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Reprocessing
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- -
YARN
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Application Master
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Isolation
- -
- -
Operations
- -
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Security
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Kafka
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Name	Default	Description
Samza job configuration
job.factory.class		- Required: The job factory to use for running this job. - The value is a fully-qualified Java classname, which must implement - StreamJobFactory. - Samza ships with two implementations: - - `org.apache.samza.job.local.ThreadJobFactory` - Runs your job on your local machine using threads. This is intended only for - development, not for production deployments. - `org.apache.samza.job.local.ProcessJobFactory` - Runs your job on your local machine as a subprocess. An optional command builder - property can also be specified (see - task.command.class for details). This is intended only for development, - not for production deployments. - `org.apache.samza.job.yarn.YarnJobFactory` - Runs your job on a YARN grid. See below for YARN-specific configuration. - -
job.name		- Required: The name of your job. This name appears on the Samza dashboard, and it - is used to tell apart this job's checkpoints from other jobs' checkpoints. -
job.id	1	- If you run several instances of your job at the same time, you need to give each execution a - different `job.id`. This is important, since otherwise the jobs will overwrite each - others' checkpoints, and perhaps interfere with each other in other ways. -
job.config.rewriter. rewriter-name.class		- You can optionally define configuration rewriters, which have the opportunity to dynamically - modify the job configuration before the job is started. For example, this can be useful for - pulling configuration from an external configuration management system, or for determining - the set of input streams dynamically at runtime. The value of this property is a - fully-qualified Java classname which must implement - ConfigRewriter. - Samza ships with one rewriter by default: - - `org.apache.samza.config.RegExTopicGenerator` - When consuming from Kafka, this allows you to consume all Kafka topics that match - some regular expression (rather than having to list each topic explicitly). - This rewriter has additional configuration. - -
job.config.rewriters		- If you have defined configuration rewriters, you need to list them here, in the order in - which they should be applied. The value of this property is a comma-separated list of - rewriter-name tokens. -
Task configuration
task.class		- Required: The fully-qualified name of the Java class which processes - incoming messages from input streams. The class must implement - StreamTask, and may optionally implement - InitableTask, - ClosableTask and/or - WindowableTask. - The class will be instantiated several times, once for every - input stream partition. -
task.inputs		- Required: A comma-separated list of streams that are consumed by this job. - Each stream is given in the format - system-name.stream-name. - For example, if you have one input system called `my-kafka`, and want to consume two - Kafka topics called `PageViewEvent` and `UserActivityEvent`, then you would set - `task.inputs=my-kafka.PageViewEvent, my-kafka.UserActivityEvent`. -
task.window.ms	-1	- If task.class implements - WindowableTask, it can - receive a windowing callback in regular intervals. - This property specifies the time between window() calls, in milliseconds. If the number is - negative (the default), window() is never called. Note that Samza is - single-threaded, so a window() call will never - occur concurrently with the processing of a message. If a message is being processed at the - time when a window() call is due, the window() call occurs after the processing of the current - message has completed. -
task.checkpoint.factory		- To enable checkpointing, you must set - this property to the fully-qualified name of a Java class that implements - CheckpointManagerFactory. - This is not required, but recommended for most jobs. If you don't configure checkpointing, - and a job or container restarts, it does not remember which messages it has already processed. - Without checkpointing, consumer behavior is determined by the - ...samza.offset.default - setting, which by default skips any messages that were published while the container was - restarting. Checkpointing allows a job to start up where it previously left off. - Samza ships with two checkpoint managers by default: - - `org.apache.samza.checkpoint.file.FileSystemCheckpointManagerFactory` - Writes checkpoints to files on the local filesystem. You can configure the file path - with the task.checkpoint.path - property. This is a simple option if your job always runs on the same machine. - On a multi-machine cluster, this would require a network filesystem mount. - `org.apache.samza.checkpoint.kafka.KafkaCheckpointManagerFactory` - Writes checkpoints to a dedicated topic on a Kafka cluster. This is the recommended - option if you are already using Kafka for input or output streams. Use the - task.checkpoint.system - property to configure which Kafka cluster to use for checkpoints. - -
task.commit.ms	60000	- If task.checkpoint.factory is - configured, this property determines how often a checkpoint is written. The value is - the time between checkpoints, in milliseconds. The frequency of checkpointing affects - failure recovery: if a container fails unexpectedly (e.g. due to crash or machine failure) - and is restarted, it resumes processing at the last checkpoint. Any messages processed - since the last checkpoint on the failed container are processed again. Checkpointing - more frequently reduces the number of messages that may be processed twice, but also - uses more resources. -
task.command.class	org.apache.samza.job. ShellCommandBuilder	- The fully-qualified name of the Java class which determines the command line and environment - variables for a container. It must be a subclass of - CommandBuilder. - This defaults to `task.command.class=org.apache.samza.job.ShellCommandBuilder`. -
task.opts		- Any JVM options to include in the command line when executing Samza containers. For example, - this can be used to set the JVM heap size, to tune the garbage collector, or to enable - remote debugging. Note - there are some issues with the current implementation of `task.opts`: - - If you set this property, the log configuration is disrupted. Please see - SAMZA-109 for a workaround. - This cannot be used when running with `ThreadJobFactory` - -
task.execute	bin/run-container.sh	- The command that starts a Samza container. The script must be included in the - job package. There is usually no need to customize this. -
task.chooser.class	org.apache.samza. system.chooser. RoundRobinChooserFactory	- This property can be optionally set to override the default - message chooser, which determines the - order in which messages from multiple input streams are processed. The value of this - property is the fully-qualified name of a Java class that implements - MessageChooserFactory. -
task.lifecycle.listener. listener-name.class		- Use this property to register a - lifecycle listener, which can receive - a notification when a container starts up or shuts down, or when a message is processed. - The value is the fully-qualified name of a Java class that implements - TaskLifecycleListenerFactory. - You can define multiple lifecycle listeners, each with a different listener-name, - and reference them in task.lifecycle.listeners. -
task.lifecycle.listeners		- If you have defined lifecycle listeners with - task.lifecycle.listener.*.class, - you need to list them here in order to enable them. The value of this property is a - comma-separated list of listener-name tokens. -
task.drop.deserialization.errors		- This property is to define how the system deals with deserialization failure situation. If set to true, the system will - skip the error messages and keep running. If set to false, the system with throw exceptions and fail the container. Default - is false. -
task.drop.serialization.errors		- This property is to define how the system deals with serialization failure situation. If set to true, the system will - drop the error messages and keep running. If set to false, the system with throw exceptions and fail the container. Default - is false. -
task.poll.interval.ms		- Samza's container polls for more messages under two conditions. The first condition arises when there are simply no remaining - buffered messages to process for any input SystemStreamPartition. The second condition arises when some input - SystemStreamPartitions have empty buffers, but some do not. In the latter case, a polling interval is defined to determine how - often to refresh the empty SystemStreamPartition buffers. By default, this interval is 50ms, which means that any empty - SystemStreamPartition buffer will be refreshed at least every 50ms. A higher value here means that empty SystemStreamPartitions - will be refreshed less often, which means more latency is introduced, but less CPU and network will be used. Decreasing this - value means that empty SystemStreamPartitions are refreshed more frequently, thereby introducing less latency, but increasing - CPU and network utilization. -
Systems (input and output streams)
systems.system-name. samza.factory		- Required: The fully-qualified name of a Java class which provides a - system. A system can provide input streams which you can consume in your Samza job, - or output streams to which you can write, or both. The requirements on a system are very - flexible — it may connect to a message broker, or read and write files, or use a database, - or anything else. The class must implement - SystemFactory. - Samza ships with the following implementations: - - `org.apache.samza.system.kafka.KafkaSystemFactory` - Connects to a cluster of Kafka brokers, allows - Kafka topics to be consumed as streams in Samza, allows messages to be published to - Kafka topics, and allows Kafka to be used for checkpointing (see - task.checkpoint.factory). - See also configuration of a Kafka system. - `org.apache.samza.system.filereader.FileReaderSystemFactory` - Reads data from a file on the local filesystem (the stream name is the path of the - file to read). The file is read as ASCII, and treated as a stream of messages separated - by newline (`\n`) characters. A task can consume each line of the file as - a `java.lang.String` object. This system does not provide output streams. - -
systems.system-name. samza.key.serde		- The serde which will be used to deserialize the - key of messages on input streams, and to serialize the key of messages on - output streams. This property can be defined either for an individual stream, or for all - streams within a system (if both are defined, the stream-level definition takes precedence). - The value of this property must be a serde-name that is registered - with serializers.registry.*.class. - If this property is not set, messages are passed unmodified between the input stream consumer, - the task and the output stream producer. -
systems.system-name. streams.stream-name. samza.key.serde
systems.system-name. samza.msg.serde		- The serde which will be used to deserialize the - value of messages on input streams, and to serialize the value of messages on - output streams. This property can be defined either for an individual stream, or for all - streams within a system (if both are defined, the stream-level definition takes precedence). - The value of this property must be a serde-name that is registered - with serializers.registry.*.class. - If this property is not set, messages are passed unmodified between the input stream consumer, - the task and the output stream producer. -
systems.system-name. streams.stream-name. samza.msg.serde
systems.system-name. samza.offset.default	upcoming	- If a container starts up without a checkpoint, - this property determines where in the input stream we should start consuming. The value must be an - OffsetType, - one of the following: - - `upcoming` - Start processing messages that are published after the job starts. Any messages published while - the job was not running are not processed. - `oldest` - Start processing at the oldest available message in the system, and - reprocess the entire available message history. - - This property can be defined either for an individual stream, or for all streams within a system - (if both are defined, the stream-level definition takes precedence). -
systems.system-name. streams.stream-name. samza.offset.default	upcoming
systems.system-name. streams.stream-name. samza.reset.offset	false	- If set to `true`, when a Samza container starts up, it ignores any - checkpointed offset for this particular input - stream. Its behavior is thus determined by the `samza.offset.default` setting. - Note that the reset takes effect every time a container is started, which may be - every time you restart your job, or more frequently if a container fails and is restarted - by the framework. -
systems.system-name. streams.stream-name. samza.priority	-1	- If one or more streams have a priority set (any positive integer), they will be processed - with higher priority than the other streams. - You can set several streams to the same priority, or define multiple priority levels by - assigning a higher number to the higher-priority streams. If a higher-priority stream has - any messages available, they will always be processed first; messages from lower-priority - streams are only processed when there are no new messages on higher-priority inputs. -
systems.system-name. streams.stream-name. samza.bootstrap	false	- If set to `true`, this stream will be processed as a - bootstrap stream. This means that every time - a Samza container starts up, this stream will be fully consumed before messages from any - other stream are processed. -
task.consumer.batch.size	1	- If set to a positive integer, the task will try to consume - batches with the given number of messages - from each input stream, rather than consuming round-robin from all the input streams on - each individual message. Setting this property can improve performance in some cases. -
Serializers/Deserializers (Serdes)
serializers.registry. serde-name.class		- Use this property to register a serializer/deserializer, - which defines a way of encoding application objects as an array of bytes (used for messages - in streams, and for data in persistent storage). You can give a serde any - serde-name you want, and reference that name in properties like - systems..samza.key.serde, - systems..samza.msg.serde, - stores..key.serde and - stores..msg.serde. - The value of this property is the fully-qualified name of a Java class that implements - SerdeFactory. - Samza ships with several serdes: - - `org.apache.samza.serializers.ByteSerdeFactory` - A no-op serde which passes through the undecoded byte array. - `org.apache.samza.serializers.IntegerSerdeFactory` - Encodes `java.lang.Integer` objects as binary (4 bytes fixed-length big-endian encoding). - `org.apache.samza.serializers.StringSerdeFactory` - Encodes `java.lang.String` objects as UTF-8. - `org.apache.samza.serializers.JsonSerdeFactory` - Encodes nested structures of `java.util.Map`, `java.util.List` etc. as JSON. - `org.apache.samza.serializers.MetricsSnapshotSerdeFactory` - Encodes `org.apache.samza.metrics.reporter.MetricsSnapshot` objects (which are - used for reporting metrics) as JSON. - `org.apache.samza.serializers.KafkaSerdeFactory` - Adapter which allows existing `kafka.serializer.Encoder` and - `kafka.serializer.Decoder` implementations to be used as Samza serdes. - Set serializers.registry.serde-name.encoder and - serializers.registry.serde-name.decoder to the appropriate - class names. - -
- Using the filesystem for checkpoints - - (This section applies if you have set - task.checkpoint.factory - `= org.apache.samza.checkpoint.file.FileSystemCheckpointManagerFactory`) - -
task.checkpoint.path		- Required if you are using the filesystem for checkpoints. Set this to the path on your local filesystem - where checkpoint files should be stored. -
- Using Kafka for input streams, output streams and checkpoints - - (This section applies if you have set - systems.*.samza.factory - `= org.apache.samza.system.kafka.KafkaSystemFactory`) - -
systems.system-name. consumer.zookeeper.connect		- The hostname and port of one or more Zookeeper nodes where information about the - Kafka cluster can be found. This is given as a comma-separated list of - `hostname:port` pairs, such as - `zk1.example.com:2181,zk2.example.com:2181,zk3.example.com:2181`. - If the cluster information is at some sub-path of the Zookeeper namespace, you need to - include the path at the end of the list of hostnames, for example: - `zk1.example.com:2181,zk2.example.com:2181,zk3.example.com:2181/clusters/my-kafka` -
systems.system-name. consumer.auto.offset.reset	largest	- This setting determines what happens if a consumer attempts to read an offset that is - outside of the current valid range. This could happen if the topic does not exist, or - if a checkpoint is older than the maximum message history retained by the brokers. - This property is not to be confused with - systems.*.samza.offset.default, - which determines what happens if there is no checkpoint. The following are valid - values for `auto.offset.reset`: - - `smallest` - Start consuming at the smallest (oldest) offset available on the broker - (process as much message history as available). - `largest` - Start consuming at the largest (newest) offset available on the broker - (skip any messages published while the job was not running). - anything else - Throw an exception and refuse to start up the job. - -
systems.system-name. consumer.*		- Any Kafka consumer configuration - can be included here. For example, to change the socket timeout, you can set - systems.system-name.consumer.socket.timeout.ms. - (There is no need to configure `group.id` or `client.id`, - as they are automatically configured by Samza. Also, there is no need to set - `auto.commit.enable` because Samza has its own checkpointing mechanism.) -
systems.system-name. producer.metadata.broker.list		- A list of network endpoints where the Kafka brokers are running. This is given as - a comma-separated list of `hostname:port` pairs, for example - `kafka1.example.com:9092,kafka2.example.com:9092,kafka3.example.com:9092`. - It's not necessary to list every single Kafka node in the cluster: Samza uses this - property in order to discover which topics and partitions are hosted on which broker. - This property is needed even if you are only consuming from Kafka, and not writing - to it, because Samza uses it to discover metadata about streams being consumed. -
systems.system-name. producer.producer.type	sync	- Controls whether messages emitted from a stream processor should be buffered before - they are sent to Kafka. The options are: - - `sync` - Any messages sent to output streams are synchronously flushed to the Kafka brokers - before the next message from an input stream is processed. - `async` - Messages sent to output streams are buffered within the Samza container, and published - to the Kafka brokers as a batch. This setting can increase throughput, but - risks buffered messages being lost if a container abruptly fails. The maximum - number of messages to buffer is controlled with - systems.system-name.producer.batch.num.messages - and the maximum time (in milliseconds) to wait before flushing the buffer is set with - systems.system-name.producer.queue.buffering.max.ms. - -
systems.system-name. producer.*		- Any Kafka producer configuration - can be included here. For example, to change the request timeout, you can set - systems.system-name.producer.request.timeout.ms. - (There is no need to configure `client.id` as it is automatically - configured by Samza.) -
systems.system-name. samza.fetch.threshold	50000	- When consuming streams from Kafka, a Samza container maintains an in-memory buffer - for incoming messages in order to increase throughput (the stream task can continue - processing buffered messages while new messages are fetched from Kafka). This - parameter determines the number of messages we aim to buffer across all stream - partitions consumed by a container. For example, if a container consumes 50 partitions, - it will try to buffer 1000 messages per partition by default. When the number of - buffered messages falls below that threshold, Samza fetches more messages from the - Kafka broker to replenish the buffer. Increasing this parameter can increase a job's - processing throughput, but also increases the amount of memory used. -
task.checkpoint.system		- This property is required if you are using Kafka for checkpoints - (task.checkpoint.factory - `= org.apache.samza.checkpoint.kafka.KafkaCheckpointManagerFactory`). - You must set it to the system-name of a Kafka system. The stream - name (topic name) within that system is automatically determined from the job name and ID: - `__samza_checkpoint_${job.name}_${job.id}` - (with underscores in the job name and ID replaced by hyphens). -
task.checkpoint. replication.factor	3	- If you are using Kafka for checkpoints, this is the number of Kafka nodes to which you want the - checkpoint topic replicated for durability. -
- Consuming all Kafka topics matching a regular expression - - (This section applies if you have set - job.config.rewriter.*.class - `= org.apache.samza.config.RegExTopicGenerator`) - -
job.config.rewriter. rewriter-name.system		- Set this property to the system-name of the Kafka system - from which you want to consume all matching topics. -
job.config.rewriter. rewriter-name.regex		- A regular expression specifying which topics you want to consume within the Kafka system - job.config.rewriter..system. - Any topics matched by this regular expression will be consumed in addition to* any - topics you specify with task.inputs. -
job.config.rewriter. rewriter-name.config.*		- Any properties specified within this namespace are applied to the configuration of streams - that match the regex in - job.config.rewriter..regex. - For example, you can set `job.config.rewriter..config.samza.msg.serde` to configure - the deserializer for messages in the matching streams, which is equivalent to setting - systems..streams..samza.msg.serde - for each topic that matches the regex. -
Storage and State Management
stores.store-name.factory		- This property defines a store, Samza's mechanism for efficient - stateful stream processing. You can give a - store any store-name, and use that name to get a reference to the - store in your stream task (call - TaskContext.getStore() - in your task's - init() - method). The value of this property is the fully-qualified name of a Java class that implements - StorageEngineFactory. - Samza currently ships with one storage engine implementation: - - `org.apache.samza.storage.kv.KeyValueStorageEngineFactory` - An on-disk storage engine with a key-value interface, implemented using - LevelDB. It supports fast random-access - reads and writes, as well as range queries on keys. LevelDB can be configured with - various additional tuning parameters. - -
stores.store-name.key.serde		- If the storage engine expects keys in the store to be simple byte arrays, this - serde allows the stream task to access the - store using another object type as key. The value of this property must be a - serde-name that is registered with - serializers.registry.*.class. - If this property is not set, keys are passed unmodified to the storage engine - (and the changelog stream, if appropriate). -
stores.store-name.msg.serde		- If the storage engine expects values in the store to be simple byte arrays, this - serde allows the stream task to access the - store using another object type as value. The value of this property must be a - serde-name that is registered with - serializers.registry.*.class. - If this property is not set, values are passed unmodified to the storage engine - (and the changelog stream, if appropriate). -
stores.store-name.changelog		- Samza stores are local to a container. If the container fails, the contents of the - store are lost. To prevent loss of data, you need to set this property to configure - a changelog stream: Samza then ensures that writes to the store are replicated to - this stream, and the store is restored from this stream after a failure. The value - of this property is given in the form - system-name.stream-name. - Any output stream can be used as changelog, but you must ensure that only one job - ever writes to a given changelog stream (each instance of a job and each store - needs its own changelog stream). -
- Using LevelDB for key-value storage - - (This section applies if you have set - stores.*.factory - `= org.apache.samza.storage.kv.KeyValueStorageEngineFactory`) - -
stores.store-name. write.batch.size	500	- For better write performance, the storage engine buffers writes and applies them - to the underlying store in a batch. If the same key is written multiple times - in quick succession, this buffer also deduplicates writes to the same key. This - property is set to the number of key/value pairs that should be kept in this - in-memory buffer, per task instance. The number cannot be greater than - stores.*.object.cache.size. -
stores.store-name. object.cache.size	1000	- Samza maintains an additional cache in front of LevelDB for frequently-accessed - objects. This cache contains deserialized objects (avoiding the deserialization - overhead on cache hits), in contrast to the LevelDB block cache - (stores..container.cache.size.bytes), - which caches serialized objects. This property determines the number of objects - to keep in Samza's cache, per task instance. This same cache is also used for - write buffering (see stores..write.batch.size). - A value of 0 disables all caching and batching. -
stores.store-name.container. cache.size.bytes	104857600	- The size of LevelDB's block cache in bytes, per container. If there are several - task instances within one container, each is given a proportional share of this cache. - Note that this is an off-heap memory allocation, so the container's total memory use - is the maximum JVM heap size plus the size of this cache. -
stores.store-name.container. write.buffer.size.bytes	33554432	- The amount of memory (in bytes) that LevelDB uses for buffering writes before they are - written to disk, per container. If there are several task instances within one - container, each is given a proportional share of this buffer. This setting also - determines the size of LevelDB's segment files. -
stores.store-name. compaction.delete.threshold	-1	- Setting this property forces a LevelDB compaction to be performed after a certain - number of keys have been deleted from the store. This is used to work around - performance issues - in certain workloads. -
stores.store-name. leveldb.compression	snappy	- This property controls whether LevelDB should compress data on disk and in the - block cache. The following values are valid: - - `snappy` - Compress data using the Snappy codec. - `none` - Do not compress data. - -
stores.store-name. leveldb.block.size.bytes	4096	- If compression is enabled, LevelDB groups approximately this many uncompressed bytes - into one compressed block. You probably don't need to change this property. -
- Running your job on a YARN cluster - - (This section applies if you have set - job.factory.class - `= org.apache.samza.job.yarn.YarnJobFactory`) - -
yarn.package.path		- Required for YARN jobs: The URL from which the job package can - be downloaded, for example a `http://` or `hdfs://` URL. - The job package is a .tar.gz file with a - specific directory structure. -
yarn.container.count	1	- The number of YARN containers to request for running your job. This is the main parameter - for controlling the scale (allocated computing resources) of your job: to increase the - parallelism of processing, you need to increase the number of containers. The minimum is one - container, and the maximum number of containers is the number of task instances (usually the - number of input stream partitions). - Task instances are evenly distributed across the number of containers that you specify. -
yarn.container.memory.mb	1024	- How much memory, in megabytes, to request from YARN per container of your job. Along with - yarn.container.cpu.cores, this - property determines how many containers YARN will run on one machine. If the container - exceeds this limit, YARN will kill it, so it is important that the container's actual - memory use remains below the limit. The amount of memory used is normally the JVM heap - size (configured with task.opts), plus the - size of any off-heap memory allocation (for example - stores.*.container.cache.size.bytes), - plus a safety margin to allow for JVM overheads. -
yarn.container.cpu.cores	1	- The number of CPU cores to request from YARN per container of your job. Each node in the - YARN cluster has a certain number of CPU cores available, so this number (along with - yarn.container.memory.mb) - determines how many containers can be run on one machine. Samza is - single-threaded and designed to run on one - CPU core, so you shouldn't normally need to change this property. -
yarn.container. retry.count	8	- If a container fails, it is automatically restarted by YARN. However, if a container keeps - failing shortly after startup, that indicates a deeper problem, so we should kill the job - rather than retrying indefinitely. This property determines the maximum number of times we are - willing to restart a failed container in quick succession (the time period is configured with - yarn.container.retry.window.ms). - Each container in the job is counted separately. If this property is set to 0, any failed - container immediately causes the whole job to fail. If it is set to a negative number, there - is no limit on the number of retries. -
yarn.container. retry.window.ms	300000	- This property determines how frequently a container is allowed to fail before we give up and - fail the job. If the same container has failed more than - yarn.container.retry.count - times, and the time between failures was less than this property - `yarn.container.retry.window.ms` (in milliseconds), then we fail the job. - There is no limit to the number of times we will restart a container if the time between - failures is greater than `yarn.container.retry.window.ms`. -
yarn.am.container. memory.mb	1024	- Each Samza job has one special container, the - ApplicationMaster (AM), which manages the - execution of the job. This property determines how much memory, in megabytes, to request - from YARN for running the ApplicationMaster. -
yarn.am.opts		- Any JVM options to include in the command line when executing the Samza - ApplicationMaster. For example, this can be - used to set the JVM heap size, to tune the garbage collector, or to enable remote debugging. -
yarn.am.poll.interval.ms	1000	- THe Samza ApplicationMaster sends regular heartbeats to the YARN ResourceManager - to confirm that it is alive. This property determines the time (in milliseconds) - between heartbeats. -
yarn.am.jmx.enabled	true	- Determines whether a JMX server should be started on this job's YARN ApplicationMaster - (`true` or `false`). -
Metrics
metrics.reporter. reporter-name.class		- Samza automatically tracks various metrics which are useful for monitoring the health - of a job, and you can also track your own metrics. - With this property, you can define any number of metrics reporters which send - the metrics to a system of your choice (for graphing, alerting etc). You give each reporter - an arbitrary reporter-name. To enable the reporter, you need - to reference the reporter-name in - metrics.reporters. - The value of this property is the fully-qualified name of a Java class that implements - MetricsReporterFactory. - Samza ships with these implementations by default: - - `org.apache.samza.metrics.reporter.JmxReporterFactory` - With this reporter, every container exposes its own metrics as JMX MBeans. The JMX - server is started on a random port to avoid - collisions between containers running on the same machine. - `org.apache.samza.metrics.reporter.MetricsSnapshotReporterFactory` - This reporter sends the latest values of all metrics as messages to an output - stream once per minute. The output stream is configured with - metrics.reporter.*.stream - and it can use any system supported by Samza. - -
metrics.reporters		- If you have defined any metrics reporters with - metrics.reporter.*.class, you - need to list them here in order to enable them. The value of this property is a - comma-separated list of reporter-name tokens. -
metrics.reporter. reporter-name.stream		- If you have registered the metrics reporter - metrics.reporter..class - `= org.apache.samza.metrics.reporter.MetricsSnapshotReporterFactory`, - you need to set this property to configure the output stream to which the metrics data - should be sent. The stream is given in the form - system-name.stream-name, - and the system must be defined in the job configuration. It's fine for many different jobs - to publish their metrics to the same metrics stream. Samza defines a simple - JSON encoding for metrics; in order to use this - encoding, you also need to configure a serde for the metrics stream: - - systems..streams.*.samza.msg.serde - `= metrics-serde` (replacing the asterisks with the - system-name and stream-name - of the metrics stream) - serializers.registry.metrics-serde.class - `= org.apache.samza.serializers.MetricsSnapshotSerdeFactory` - (registering the serde under a serde-name of - `metrics-serde`) - -

Modifier and Type	Method and Description
`int`	`compareTo(Partition that)`
`boolean`	`equals(java.lang.Object obj)`
`int`	`getPartitionId()`
`int`	`hashCode()`
`java.lang.String`	`toString()`

Modifier and Type	Method and Description
`boolean`	`equals(java.lang.Object o)`
`java.util.Map<SystemStreamPartition,java.lang.String>`	`getOffsets()` + Gets a unmodifiable view of the current Samza stream offsets. +
`int`	`hashCode()`
`java.lang.String`	`toString()`

Modifier and Type	Method and Description
`java.util.Map<TaskName,java.lang.Integer>`	`readChangeLogPartitionMapping()` + Read the taskName to partition mapping that is being maintained by this CheckpointManager +
`Checkpoint`	`readLastCheckpoint(TaskName taskName)` + Returns the last recorded checkpoint for a specified taskName. +
`void`	`register(TaskName taskName)` + Registers this manager to write checkpoints of a specific Samza stream partition. +
`void`	`start()`
`void`	`stop()`
`void`	`writeChangeLogPartitionMapping(java.util.Map<TaskName,java.lang.Integer> mapping)` + Write the taskName to partition mapping that is being maintained by this CheckpointManager +
`void`	`writeCheckpoint(TaskName taskName, + Checkpoint checkpoint)` + Writes a checkpoint based on the current state of a Samza stream partition. +

Interface	Description
CheckpointManager	+ CheckpointManagers read and write `Checkpoint` to some + implementation-specific location. +
CheckpointManagerFactory	+ Build a `CheckpointManager`. +

Modifier and Type	Method and Description
`void`	`clear()`
`java.lang.String`	`get(java.lang.String k, + java.lang.String defaultString)`
`boolean`	`getBoolean(java.lang.String k)`
`boolean`	`getBoolean(java.lang.String k, + boolean defaultValue)`
`<T> java.lang.Class<T>`	`getClass(java.lang.String k)`
`java.util.Date`	`getDate(java.lang.String k)`
`java.util.Date`	`getDate(java.lang.String k, + java.util.Date defaultValue)`
`java.util.Date`	`getDate(java.lang.String k, + java.text.SimpleDateFormat format)`
`java.util.Date`	`getDate(java.lang.String k, + java.text.SimpleDateFormat format, + java.util.Date defaultValue)`
`java.util.Date`	`getDate(java.lang.String k, + java.lang.String format)`
`java.util.Date`	`getDate(java.lang.String k, + java.lang.String format, + java.util.Date defaultValue)`
`double`	`getDouble(java.lang.String k)`
`double`	`getDouble(java.lang.String k, + double defaultValue)`
`int`	`getInt(java.lang.String k)`
`int`	`getInt(java.lang.String k, + int defaultValue)`
`java.util.List<java.lang.String>`	`getList(java.lang.String k)`
`java.util.List<java.lang.String>`	`getList(java.lang.String k, + java.util.List<java.lang.String> defaultValue)`
`long`	`getLong(java.lang.String k)`
`long`	`getLong(java.lang.String k, + long defaultValue)`
`<T> T`	`getNewInstance(java.lang.String k)`
`short`	`getShort(java.lang.String k)`
`short`	`getShort(java.lang.String k, + short defaultValue)`
`java.lang.String`	`put(java.lang.String key, + java.lang.String value)`
`void`	`putAll(java.util.Map<? extends java.lang.String,? extends java.lang.String> m)`
`java.lang.String`	`remove(java.lang.Object s)`
`Config`	`subset(java.lang.String prefix)`
`Config`	`subset(java.lang.String prefix, + boolean stripPrefix)`

Modifier and Type	Method and Description
`boolean`	`containsKey(java.lang.Object k)`
`boolean`	`containsValue(java.lang.Object v)`
`java.util.Set<java.util.Map.Entry<java.lang.String,java.lang.String>>`	`entrySet()`
`boolean`	`equals(java.lang.Object obj)`
`java.lang.String`	`get(java.lang.Object k)`
`int`	`hashCode()`
`boolean`	`isEmpty()`
`java.util.Set<java.lang.String>`	`keySet()`
`int`	`size()`
`java.lang.String`	`toString()`
`java.util.Collection<java.lang.String>`	`values()`

Interface	Description
ConfigFactory	+ Build a `Config` +
ConfigRewriter	+ A ConfigRewriter receives the job's config during job startup and may re-write it to provide new configs, + remove existing configs or audit and verify the config is correct or permitted. +

Class	Description
Config	+ Store and retrieve named, typed values as configuration for classes implementing this interface. +
MapConfig	+ A `Config` backed by a Java `Map` +

Modifier and Type	Method and Description
`int`	`compareTo(TaskName that)`
`boolean`	`equals(java.lang.Object o)`
`java.lang.String`	`getTaskName()`
`int`	`hashCode()`
`java.lang.String`	`toString()`

Interface	Description
SystemStreamPartitionGrouper	+ Group a set of SystemStreamPartitions into logical taskNames that share a common characteristic, defined + by the implementation. +
SystemStreamPartitionGrouperFactory	+ Return an instance a SystemStreamPartitionGrouper per the particular implementation +

Class	Description
SamzaContainerContext	+ A SamzaContainerContext maintains per-container information for the tasks it executes. +
TaskName	+ A unique identifier of a set of a SystemStreamPartitions that have been grouped by + a `SystemStreamPartitionGrouper`. +

Modifier and Type	Method and Description
`java.lang.String`	`toString()`
`static ApplicationStatus`	`valueOf(java.lang.String name)` + Returns the enum constant of this type with the specified name. +
`static ApplicationStatus[]`	`values()` + Returns an array containing the constants of this enum type, in +the order they are declared. +

Modifier and Type	Field and Description
`protected Config`	`config`
`protected java.lang.String`	`name`
`protected java.util.Map<TaskName,java.lang.Integer>`	`taskNameToChangeLogPartitionMapping`
`protected java.util.Map<TaskName,java.util.Set<SystemStreamPartition>>`	`taskNameToSystemStreamPartitionsMapping`

Modifier and Type	Method and Description
`abstract java.lang.String`	`buildCommand()`
`abstract java.util.Map<java.lang.String,java.lang.String>`	`buildEnvironment()`
`CommandBuilder`	`setConfig(Config config)`
`CommandBuilder`	`setName(java.lang.String name)`
`CommandBuilder`	`setTaskNameToChangeLogPartitionMapping(java.util.Map<TaskName,java.lang.Integer> mapping)`
`CommandBuilder`	`setTaskNameToSystemStreamPartitionsMapping(java.util.Map<TaskName,java.util.Set<SystemStreamPartition>> systemStreamPartitionTaskNames)`

Constructors
Constructor and Description
`SamzaException()`
`SamzaException(java.lang.String s)`
`SamzaException(java.lang.String s, + java.lang.Throwable t)`
`SamzaException(java.lang.Throwable t)`

Constructors
Constructor and Description
`ConfigException(java.lang.String msg)`
`ConfigException(java.lang.String msg, + java.lang.Throwable e)`
`ConfigException(java.lang.Throwable e)`

Constructors
Constructor and Description
`MapConfig()`
`MapConfig(java.util.List<java.util.Map<java.lang.String,java.lang.String>> maps)`
`MapConfig(java.util.Map<java.lang.String,java.lang.String> map)`

Enum Constants
Enum Constant and Description
`New`
`Running`
`SuccessfulFinish`
`UnsuccessfulFinish`

Modifier and Type	Method and Description
`ApplicationStatus`	`getStatus()` + Get current `ApplicationStatus` of the job +
`StreamJob`	`kill()` + Kill this job immediately. +
`StreamJob`	`submit()` + Submit this job to be run. +
`ApplicationStatus`	`waitForFinish(long timeoutMs)` + Block on this job until either it finishes or reaches its timeout value +
`ApplicationStatus`	`waitForStatus(ApplicationStatus status, + long timeoutMs)` + Block on this job until either it transitions to the specified status or reaches it timeout value +

Interface	Description
StreamJob	+ A StreamJob runs Samza `StreamTask`s in its specific environment. +
StreamJobFactory	+ Build a `StreamJob` +

Modifier and Type	Method and Description
`boolean`	`compareAndSet(T expected, + T n)`
`java.lang.String`	`getName()`
`T`	`getValue()`
`T`	`set(T n)`
`java.lang.String`	`toString()`
`void`	`visit(MetricsVisitor visitor)`

Modifier and Type	Method and Description
`Counter`	`newCounter(java.lang.String group, + Counter counter)` + Register existing `Counter` with this registry +
`Counter`	`newCounter(java.lang.String group, + java.lang.String name)` + Create and register a new `Counter` +
`<T> Gauge<T>`	`newGauge(java.lang.String group, + Gauge<T> value)` + Register an existing `Gauge` +
`<T> Gauge<T>`	`newGauge(java.lang.String group, + java.lang.String name, + T value)` + Create and register a new `Gauge` +

Modifier and Type	Method and Description
`void`	`register(java.lang.String source, + ReadableMetricsRegistry registry)`
`void`	`start()`
`void`	`stop()`

Modifier and Type	Method and Description
`abstract void`	`counter(Counter counter)`
`abstract <T> void`	`gauge(Gauge<T> gauge)`
`void`	`visit(Metric metric)`

Modifier and Type	Method and Description
`java.util.Map<java.lang.String,Metric>`	`getGroup(java.lang.String group)`
`java.util.Set<java.lang.String>`	`getGroups()`
`void`	`listen(ReadableMetricsRegistryListener listener)`
`void`	`unlisten(ReadableMetricsRegistryListener listener)`

Modifier and Type	Method and Description
`void`	`onCounter(java.lang.String group, + Counter counter)`
`void`	`onGauge(java.lang.String group, + Gauge<?> gauge)`

Modifier and Type	Method and Description
`Snapshot`	`getSnapshot()` + Return a `Snapshot` of this reservoir +
`int`	`size()` + Return the number of values in this reservoir +
`void`	`update(long value)` + Update the reservoir with the new value +

Modifier and Type	Method and Description
`double`	`getAverage()` + Get the average of the values in the collection +
`long`	`getMax()` + Get the maximum value in the collection +
`long`	`getMin()` + Get the minimum value in the collection +
`int`	`getSize()` + Get the number of values in the collection +
`java.util.ArrayList<java.lang.Long>`	`getValues()` + Return the entire list of values +

Getting Started

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Class Partition

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

Partition

Method Detail

getPartitionId

hashCode

equals

toString

compareTo

Class SamzaException

Constructor Summary

Method Summary

Methods inherited from class java.lang.Throwable

Methods inherited from class java.lang.Object

Constructor Detail

SamzaException

SamzaException

SamzaException

SamzaException

Class Checkpoint

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Modifier and Type	Method and Description
`java.lang.String`	`getName()` + Get the name of the timer +
`Snapshot`	`getSnapshot()` + Get the `Snapshot` +
`void`	`update(long duration)` + Add the time duration +
`void`	`visit(MetricsVisitor visitor)`

Interface	Description
Metric	+ Metric class that allows metric visitors to visit it to get its information. +
MetricsRegistry	+ A MetricsRegistry allows its users to create new `Metric`s and + have those metrics wired to specific metrics systems, such as JMX, provided by `MetricsReporter`s. +
MetricsReporter	+ A MetricsReporter is the interface that different metrics sinks, such as JMX, implement to receive + metrics from the Samza framework and Samza jobs. +
MetricsReporterFactory	+ Build a `MetricsReporter` +
ReadableMetricsRegistry	+ A ReadableMetricsRegistry is a `MetricsRegistry` that also + allows read access to the metrics for which it is responsible. +
ReadableMetricsRegistryListener

Class	Description
Counter	+ A counter is a `Metric` that represents a cumulative value. +
Gauge<T>	+ A Gauge is a `Metric` that wraps some instance of T in a thread-safe + reference and allows it to be set or retrieved. +
MetricsVisitor	+ A MetricsVisitor can be used to process each metric in a `ReadableMetricsRegistry`, + encapsulating the logic of what to be done with each metric in the counter and gauge methods. +

Interface	Description
Deserializer<T>	+ A standard interface for Samza compatible deserializers, used for deserializing serialized objects back to their + original form. +
Serde<T>	+ A Serde is a convenience type that implements both the `Serializer` and + `Deserializer` interfaces, allowing it to both read and write data + in its value type, T. +
SerdeFactory<T>	+ Build an instance of `Serde` +
Serializer<T>	+ A standard interface for Samza compatible serializers, used for serializing objects to bytes. +

Modifier and Type	Method and Description
`void`	`flush()` + Flush any cached messages +
`void`	`restore(java.util.Iterator<IncomingMessageEnvelope> envelopes)` + Restore the content of this StorageEngine from the changelog. +
`void`	`stop()` + Close the storage engine +

Interface	Description
StorageEngine	+ A storage engine for managing state maintained by a stream processor. +
StorageEngineFactory<K,V>	+ An object provided by the storage engine implementation to create instances + of the given storage engine type. +

Modifier and Type	Method and Description
`boolean`	`equals(java.lang.Object obj)`
`java.lang.Object`	`getKey()`
`java.lang.Object`	`getMessage()`
`java.lang.String`	`getOffset()`
`SystemStreamPartition`	`getSystemStreamPartition()`
`int`	`hashCode()`
`java.lang.String`	`toString()`

Modifier and Type	Method and Description
`java.util.Map<SystemStreamPartition,java.lang.String>`	`getOffsetsAfter(java.util.Map<SystemStreamPartition,java.lang.String> offsets)` + Fetches the offsets for the messages immediately after the supplied offsets + for a group of SystemStreamPartitions. +
`java.util.Map<java.lang.String,SystemStreamMetadata>`	`getSystemStreamMetadata(java.util.Set<java.lang.String> streamNames)` + Fetch metadata from a system for a set of streams. +

Modifier and Type	Method and Description
`java.util.Map<SystemStreamPartition,java.util.List<IncomingMessageEnvelope>>`	`poll(java.util.Set<SystemStreamPartition> systemStreamPartitions, + long timeout)` + Poll the SystemConsumer to get any available messages from the underlying + system. +
`void`	`register(SystemStreamPartition systemStreamPartition, + java.lang.String offset)` + Register a SystemStreamPartition to this SystemConsumer. +
`void`	`start()` + Tells the SystemConsumer to connect to the underlying system, and prepare + to begin serving messages when poll is invoked. +
`void`	`stop()` + Tells the SystemConsumer to close all connections, release all resource, + and shut down everything. +

Modifier and Type	Method and Description
`SystemAdmin`	`getAdmin(java.lang.String systemName, + Config config)`
`SystemConsumer`	`getConsumer(java.lang.String systemName, + Config config, + MetricsRegistry registry)`
`SystemProducer`	`getProducer(java.lang.String systemName, + Config config, + MetricsRegistry registry)`