Binary Distribution poi-bin Batch check of all distribution files:. Binary Artifacts Source Artifacts Artifacts from prior to 3. Send feedback about the website to: dev poi. Larger batches improve throughput while adding latency. Accepted values are 0 Never wait for acknowledgement , 1 wait for leader only , -1 wait for all replicas Set this to -1 to avoid data loss in some cases of leader failure. Set to true to store events as the Flume Avro binary format.
Used in conjunction with the same property on the KafkaSource or with the parseAsFlumeEvent property on the Kafka Channel this will preserve any Flume headers for the producing side. If the value represents an invalid partition, an EventDeliveryException will be thrown. If the header value is present then this setting overrides defaultPartitionId. Care should be taken when using in conjunction with the Kafka Source topicHeader property to avoid creating a loopback.
Any producer property supported by Kafka can be used. KafkaSink a1. Property Name Default Description channel — type — The component type name, needs to be http. CODE — Configures a specific backoff for an individual i. CODE — Configures a specific rollback for an individual i. CODE — Configures a specific metrics increment for an individual i. Any empty or null events are consumed without any request being made to the HTTP endpoint.
MySink a1. Property Name Default Description type — The component type name, needs to be memory capacity The maximum number of events stored in the channel transactionCapacity The maximum number of events the channel will take from a source or give to a sink per transaction keep-alive 3 Timeout in seconds for adding or removing an event byteCapacityBufferPercentage 20 Defines the percent of buffer between byteCapacity and the estimated total size of all events in the channel, to account for data in headers.
The implementation only counts the Event body , which is the reason for providing the byteCapacityBufferPercentage configuration parameter as well. Note that if you have multiple memory channels on a single JVM, and they happen to hold the same physical events i. Setting this value to 0 will cause this value to fall back to a hard internal limit of about GB. Property Name Default Description type — The component type name, needs to be jdbc db.
Kafka provides high availability and replication, so in case an agent or a kafka broker crashes, the events are immediately available to other sinks The Kafka channel can be used for multiple scenarios: With Flume source and sink - it provides a reliable and highly available channel for events With Flume source and interceptor but no sink - it allows writing Flume events into a Kafka topic, for use by other apps With Flume sink, but no source - it is a low-latency, fault tolerant way to send events from Kafka to Flume sinks such as HDFS, HBase or Solr This currently supports Kafka server releases 0.
The configuration parameters are organized as such: Configuration values related to the channel generically are applied at the channel config level, eg: a1. KafkaChannel kafka.
Multiple channels must use the same topic and group to ensure that when one agent fails another can get the data Note that having non-channel consumers with the same ID can lead to data loss. This should be true if Flume source is writing to the channel and false if other producers are writing into the topic that the channel is using.
Flume source messages to Kafka can be parsed outside of Flume by using org. If the value represents an invalid partition the event will not be accepted into the channel. Deprecated Properties Property Name Default Description brokerList — List of brokers in the Kafka cluster used by the channel This can be a partial list of brokers, but we recommend at least two for HA.
The format is comma separated list of hostname:port topic flume-channel Use kafka. This should be true to support seamless Kafka client migration from older versions of Flume. Once migrated this can be set to false, though that should generally not be required. If no Zookeeper offset is found the kafka. Note Due to the way the channel is load balanced, there may be duplicate events when the agent first starts up. KafkaChannel a1. Property Name Default Description type — The component type name, needs to be file.
If this is set to true , backupCheckpointDir must be set backupCheckpointDir — The directory where the checkpoint is backed up to. Using multiple directories on separate disks can improve file channel peformance transactionCapacity The maximum size of transaction supported by the channel checkpointInterval Amount of time in millis between checkpoints maxFileSize Max size in bytes of a single log file minimumRequiredSpace Minimum Required free space in bytes.
Creating a checkpoint on close speeds up subsequent startup of the file channel by avoiding replay. To disable use of in-memory queue, set this to zero.
To disable use of overflow, set this to zero. The keep-alive of file channel is managed by Spillable Memory Channel. In-memory queue is considered full if either memoryCapacity or byteCapacity limit is reached.
Property Name Default Description selector. Property Name Default Description sinks — Space-separated list of sinks that are participating in the group processor. A larger absolute value indicates higher priority processor. With this disabled, in round-robin all the failed sinks load will be passed to the next sink in line and thus not evenly balanced Required properties are in bold.
Property Name Default Description processor. Configuration options are as follows: Property Name Default Description appendNewline true Whether a newline will be appended to each event at write time.
The default of true assumes that events do not contain newlines, for legacy reasons. Configuration options are as follows: Property Name Default Description syncIntervalBytes Avro sync interval, in approximate bytes.
Schemas specified in the header ovverride this option. Interceptors are named components, here is an example of how they are created through configuration: a1. Property Name Default Description type — The component type name, has to be host preserveExisting false If the host header already exists, should it be preserved - true or false useIP true Use the IP Address if true, else use hostname. Property Name Default Description type — The component type name, has to be static preserveExisting true If configured header already exists, should it be preserved - true or false key key Name of header that should be created value value Static value that should be created Example for agent named a1: a1.
Default is a comma surrounded by any number of whitespace characters matching — All the headers which names match this regular expression are removed. Property Name Default Description type — The component type name has to be org. Assumed by default to be UTF Example configuration: a1. See example below Flume provides built-in support for the following serializers: org.
RegexExtractorInterceptorMillisSerializer serializers. RegexExtractorInterceptorSerializer serializers. RegexExtractorInterceptorMillisSerializer a1. No property value is needed when setting this property eg, just specifying -Dflume.
If hadoop is installed the agent adds it to the classpath automatically Property Name Default Description type — The component type name has to be hadoop credential. The file must e on the classpath. Property Name Default Description Hostname — The hostname on which a remote Flume agent is running with an avro source.
UnsafeMode false If true, the appender will not throw exceptions on failure to send the events. Sample log4j. Log4jAppender log4j. MaxBackoff — A long value representing the maximum amount of time in milliseconds the Load balancing client will backoff from a node that has failed to consume an event. Defaults to no backoff UnsafeMode false If true, the appender will not throw exceptions on failure to send the events.
LoadBalancingLog4jAppender log4j. By default, Flume sends in Ganglia 3. MyEventValidator -DmaxSize Is Flume a good fit for your problem? For other use cases, here are some guidelines: Flume is designed to transport and ingest regularly-generated event data over relatively stable, potentially complex topologies. Channel memory org. MemoryChannel org. Channel jdbc org. JdbcChannel org. Channel file org. FileChannel org. Channel — org. PseudoTxnMemoryChannel org. MyChannel org. Source avro org.
AvroSource org. Source netcat org. NetcatSource org. Source seq org. SequenceGeneratorSource org. Source exec org. ExecSource org. Source syslogtcp org. SyslogTcpSource org. Source syslogudp org. SyslogUDPSource org. Source spooldir org. SpoolDirectorySource org. Source http org. HTTPSource org. Source thrift org. ThriftSource org. Source jms org. JMSSource org. Source — org. AvroLegacySource org. ThriftLegacySource org.
MySource org. Sink null org. NullSink org. Sink logger org. LoggerSink org. Sink avro org. AvroSink org. Sink hdfs org. Sink hbase org. HBaseSink org. Sink hbase2 org. HBase2Sink org. Sink asynchbase org. AsyncHBaseSink org. Sink elasticsearch org. ElasticSearchSink org.
RollingFileSink org. Sink irc org. IRCSink org. Sink thrift org. ThriftSink org. Sink — org. MySink org. ChannelSelector replicating org. ReplicatingChannelSelector org. ChannelSelector multiplexing org. MultiplexingChannelSelector org.
ChannelSelector — org. MyChannelSelector org. SinkProcessor default org. DefaultSinkProcessor org. SinkProcessor failover org. FailoverSinkProcessor org. LoadBalancingSinkProcessor org. SinkProcessor — org.
Interceptor timestamp org. Interceptor host org. Interceptor static org. MyKeyProvider org. CipherProvider aesctrnopadding org. CipherProvider — org. MyCipherProvider org.
Alias Name Alias Type a a gent c c hannel r sou r ce k sin k g sink g roup i i nterceptor y ke y h h ost s s erializer. Protocols to include when calculating enabled protocols. Cipher suites to include when calculating enabled cipher suites. The component type name, needs to be avro. The compression-type must match the compression-type of matching AvroSource. Set this to true to enable SSL encryption.
This is the path to a Java keystore file. The password for the Java keystore. The type of the Java keystore. Space-separated list of cipher suites to include. The component type name, needs to be thrift. Set to true to enable kerberos authentication. The keytab location used by the Thrift Source in combination with the agent-principal to authenticate to the kerberos KDC. The component type name, needs to be exec. A shell invocation used to run the command.
Amount of time in milliseconds to wait, if the buffer size was not reached, before data is pushed downstream. The component type name, needs to be jms. Whether to create durable subscription. JMS client identifier set on Connection right after it is created. The component type name, needs to be spooldir. When to delete completed files: never or immediate. Regular expression specifying which files to include. Regular expression specifying which files to ignore skip. Directory to store metadata related to processing of files.
The tracking policy defines how file processing is tracked. In which order files in the spooling directory will be consumed oldest , youngest and random. The maximum time in millis to wait between consecutive attempts to write to the channel s if the channel is full. What to do when we see a non-decodable character in the input file. Specify the deserializer used to parse the file into events. Deprecated Maximum length of a line in the commit buffer. Maximum number of characters to include in a single event.
How the schema is represented. The FQCN of this class: org. Absolute path of the file group. Regular expression and not file system patterns can be used for filename only. File in JSON format to record the inode, the absolute path and the last position of each tailing file. Header value which is the set with header key. Multiple headers can be specified for one file group. Time ms to close inactive files. If the closed file is appended new lines to, this source will automatically re-open it. Max number of lines to read and send to the channel at a time.
Controls the number of batches being read consecutively from the same file. If the source is tailing multiple files and one of them is written at a fast rate, it can prevent other files to be processed, because the busy file would be read in an endless loop.
In this case lower this value. The increment for time delay before reattempting to poll for new data, when the last attempt did not find any new data. The max time delay between each reattempt to poll for new data, when the last attempt did not find any new data.
Listing directories and applying the filename regex pattern may be time consuming for directories containing thousands of files. Caching the list of matching files can improve performance.
The order in which files are consumed will also be cached. Requires that the file system keeps track of modification times with at least a 1-second granularity.
The component type name, needs to be org. Unique identified of consumer group. Setting the same id in multiple sources or agents indicates that they are part of the same consumer group. Regex that defines set of topics the source is subscribed on. Maximum time in ms before a batch will be written to Channel The batch will be written whenever the first of size and time will be reached. Initial and incremental wait time that is triggered when a Kafka Topic appears to be empty.
Maximum wait time that is triggered when a Kafka Topic appears to be empty. By default events are taken as bytes from the Kafka topic directly into the event body. When set to true, stores the topic of the retrieved message into a header, defined by the topicHeader property.
Defines the name of the header in which to store the name of the topic the message was received from, if the setTopicHeader property is set to true.
These properties are used to configure the Kafka Consumer. Is no longer supported by kafka consumer client since 0. Use kafka. When no Kafka stored offset is found, look up the offsets in Zookeeper and commit them to Kafka. If no Zookeeper offset is found, the Kafka configuration kafka. Check Kafka documentation for details.
The component type name, needs to be netcat. The component type name, needs to be netcatudp. The component type name, needs to be seq. The component type name, needs to be syslogtcp. If specified, the IP address of the client will be stored in the header of each event using the header name specified here.
If specified, the host name of the client will be stored in the header of each event using the header name specified here.
If specified, the port number will be stored in the header of each event using the header name specified here. Maximum number of events to attempt to process per request loop. Size of the internal Mina read buffer. Number of processors available on the system for use while processing messages.
The component type name, needs to be syslogudp. Setting this to true will preserve the Priority, Timestamp and Hostname in the body of the event. The component type name, needs to be http. Location of the keystore including keystore file name. Keystore password. Jetty specific settings to be set on org. The component type name, needs to be hdfs. Suffix to append to file eg. If false an hdfs. After closing the output hdfs.
If true the hdfs. Specify minimum number of replicas per HDFS block. If not specified, it comes from the default Hadoop config in the classpath. Format for sequence file records. One of Text or Writable. Set to Text before creating data files with Flume, otherwise those files cannot be read by either Apache Impala incubating or Apache Hive. Rounded down to the highest multiple of this in the unit configured using hdfs. The unit of the round down value - second , minute or hour.
Name of the timezone that should be used for resolving the directory path, e. Use the local time instead of the timestamp from the event header while replacing the escape sequences. Number of times the sink must try renaming a file, after initiating a close attempt. If set to 1, this sink will not re-try a failed rename due to, for example, NameNode or DataNode failure , and may leave the file in an open state with a.
If set to 0, the sink will try to rename the file until the file is eventually renamed there is no limit on the number of times it would try. The file may still remain open if the close call fails but the data will be intact and in this case, the file will be closed only after a Flume restart. You can now dynamically update SSL truststores without broker restart. With this new feature, you can store sensitive password configs in encrypted form in ZooKeeper rather than in cleartext in the broker properties file.
The replication protocol has been improved to avoid log divergence between leader and follower during fast leader failover. We have also improved resilience of brokers by reducing the memory footprint of message down-conversions. By using message chunking, both memory usage and memory reference time have been reduced to avoid OutOfMemory errors in brokers. Kafka clients are now notified of throttling before any throttling is applied when quotas are enabled. This enables clients to distinguish between network errors and large throttle times when quotas are exceeded.
We have added a configuration option for Kafka consumer to avoid indefinite blocking in the consumer. We have dropped support for Java 7 and removed the previously deprecated Scala producer and consumer. Kafka Connect includes a number of improvements and features. KIP enables you to control how errors in connectors, transformations and converters are handled by enabling automatic retries and controlling the number of errors that are tolerated before the connector is stopped.
More contextual information can be included in the logs to help diagnose problems and problematic messages consumed by sink connectors can be sent to a dead letter queue rather than forcing the connector to stop. KIP adds a new extension point to move secrets out of connector configurations and integrate with any external key management system.
The placeholders in connector configurations are only resolved before sending the configuration to the connector, ensuring that secrets are stored and managed securely in your preferred key management system and not exposed over the REST APIs or in log files. Scala users can have less boilerplate in their code, notably regarding Serdes with new implicit Serdes.
Message headers are now supported in the Kafka Streams Processor API, allowing users to add and manipulate headers read from the source topics and propagate them to the sink topics. Windowed aggregations performance in Kafka Streams has been largely improved sometimes by an order of magnitude thanks to the new single-key-fetch API. We have further improved unit testibility of Kafka Streams with the kafka-streams-testutil artifact.
Here is a summary of some notable changes: Kafka 1. And all of them can seamlessly replicate data with each other. CouchDB is serious about data reliability. Individual nodes use a crash-resistent append-only data structure. A multi-node CouchDB cluster saves all data redundantly, so it is always available when you need it.
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