How to write records to multiple streams partitioning by key

This tutorial shows how to build a multiple-partitioned writer, which writes records to streams partitioned by key.

Design a partitioner interface

In order to implement a multiple-partitioned writer, we need a Partitioner to partition the records into different streams based on their keys. The partitioner takes a KEY and its total partitions to compute a partition id for the given KEY.

public interface Partitioner<KEY> {
        int partition(KEY key, int totalPartitions);
}

Write records based on partition key

Once we have the Partitioner interface, it is easy to implement partitioned writer logic:

  • Partitioner takes a KEY and the total number of partitions, and compute the partition id for the key.
  • Use the partition id to choose the stream to write.
  • Use DistributedLogClient.write(stream, ...) to write the data to the chosen stream.
String[] streams = ...;
int pid = partitioner.partition(key, streams.length);
ByteBuffer value = ...;
client.write(streams[pid], value);

Usage

Run the example in the following steps:

  1. Start the local bookkeeper cluster. After the bookkeeper cluster is started, you could access it using distributedlog uri distributedlog://127.0.0.1:7000/messaging/distributedlog.

    // dlog local ${zk-port}
    ./distributedlog-core/bin/dlog local 7000
  2. Start the write proxy, listening on port 8000.

    // DistributedLogServerApp -p ${service-port} --shard-id ${shard-id} -sp ${stats-port} -u {distributedlog-uri} -mx -c ${conf-file}
    ./distributedlog-service/bin/dlog com.twitter.distributedlog.service.DistributedLogServerApp -p 8000 --shard-id 1 -sp 8001 -u distributedlog://127.0.0.1:7000/messaging/distributedlog -mx -c ${distributedlog-repo}/distributedlog-service/conf/distributedlog_proxy.conf
  3. Create the stream under the distributedlog uri.

    // Create Stream `messaging-stream-{1,5}`
    // dlog tool create -u ${distributedlog-uri} -r ${stream-prefix} -e ${stream-regex}
    ./distributedlog-core/bin/dlog tool create -u distributedlog://127.0.0.1:7000/messaging/distributedlog -r messaging-stream- -e 1-5
  4. Tailing the stream using MultiReader to read from multiple streams.

    // Tailing Stream `messaging-stream-{1,5}`
    // runner run com.twitter.distributedlog.basic.MultiReader ${distributedlog-uri} ${stream}[, ${stream}]
    ./distributedlog-tutorials/distributedlog-basic/bin/runner run com.twitter.distributedlog.basic.MultiReader distributedlog://127.0.0.1:7000/messaging/distributedlog messaging-stream-1,messaging-stream-2,messaging-stream-3,messaging-stream-4,messaging-stream-5
  5. Run the example to write records to multiple stream in a console - the record should be in the form of KEY:VALUE.

    // Write Records into Stream `messaging-stream-{1,5}`
    // runner run com.twitter.distributedlog.messaging.ConsoleProxyPartitionedMultiWriter ${distributedlog-uri} ${stream}[, ${stream}]
    ./distributedlog-tutorials/distributedlog-messaging/bin/runner run com.twitter.distributedlog.messaging.ConsoleProxyPartitionedMultiWriter 'inet!127.0.0.1:8000' messaging-stream-1,messaging-stream-2,messaging-stream-3,messaging-stream-4,messaging-stream-5
  6. Example output from ConsoleProxyPartitionedMultiWriter and MultiReader.

    // Output of `ConsoleProxyPartitionedMultiWriter`
    Picked up JAVA_TOOL_OPTIONS: -Dfile.encoding=utf8
    May 08, 2016 1:22:35 PM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
    INFO: Resolver[inet] = com.twitter.finagle.InetResolver(com.twitter.finagle.InetResolver@6c4cbf96)
    May 08, 2016 1:22:35 PM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
    INFO: Resolver[fixedinet] = com.twitter.finagle.FixedInetResolver(com.twitter.finagle.FixedInetResolver@57052dc3)
    May 08, 2016 1:22:35 PM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
    INFO: Resolver[neg] = com.twitter.finagle.NegResolver$(com.twitter.finagle.NegResolver$@14ff89d7)
    May 08, 2016 1:22:35 PM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
    INFO: Resolver[nil] = com.twitter.finagle.NilResolver$(com.twitter.finagle.NilResolver$@14b28d06)
    May 08, 2016 1:22:35 PM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
    INFO: Resolver[fail] = com.twitter.finagle.FailResolver$(com.twitter.finagle.FailResolver$@56488f87)
    May 08, 2016 1:22:35 PM com.twitter.finagle.Init$$anonfun$1 apply$mcV$sp
    INFO: Finagle version media-platform-tools/release-20160330-1117-sgerstein-9-g2dcdd6c (rev=2dcdd6c866f9bd3599ed49568d651189735e8ad6) built at 20160330-160058
    [dlog] > 1:value-1
    [dlog] > 2:value-2
    [dlog] > 3:value-3
    [dlog] > 4:value-4
    [dlog] > 5:value-5
    [dlog] >
    
    
    // Output of `MultiReader`
    Opening log stream messaging-stream-1
    Opening log stream messaging-stream-2
    Opening log stream messaging-stream-3
    Opening log stream messaging-stream-4
    Opening log stream messaging-stream-5
    Log stream messaging-stream-2 is empty.
    Wait for records from messaging-stream-2 starting from DLSN{logSegmentSequenceNo=1, entryId=0, slotId=0}
    Open reader to read records from stream messaging-stream-2
    Log stream messaging-stream-1 is empty.
    Wait for records from messaging-stream-1 starting from DLSN{logSegmentSequenceNo=1, entryId=0, slotId=0}
    Open reader to read records from stream messaging-stream-1
    Log stream messaging-stream-3 is empty.
    Wait for records from messaging-stream-3 starting from DLSN{logSegmentSequenceNo=1, entryId=0, slotId=0}
    Open reader to read records from stream messaging-stream-3
    Log stream messaging-stream-4 is empty.
    Wait for records from messaging-stream-4 starting from DLSN{logSegmentSequenceNo=1, entryId=0, slotId=0}
    Open reader to read records from stream messaging-stream-4
    Log stream messaging-stream-5 is empty.
    Wait for records from messaging-stream-5 starting from DLSN{logSegmentSequenceNo=1, entryId=0, slotId=0}
    Open reader to read records from stream messaging-stream-5
    Received record DLSN{logSegmentSequenceNo=1, entryId=0, slotId=0} from stream messaging-stream-2
    """
    value-1
    """
    Received record DLSN{logSegmentSequenceNo=1, entryId=0, slotId=0} from stream messaging-stream-3
    """
    value-2
    """
    Received record DLSN{logSegmentSequenceNo=1, entryId=0, slotId=0} from stream messaging-stream-4
    """
    value-3
    """
    Received record DLSN{logSegmentSequenceNo=1, entryId=0, slotId=0} from stream messaging-stream-5
    """
    value-4
    """
    Received record DLSN{logSegmentSequenceNo=1, entryId=0, slotId=0} from stream messaging-stream-1
    """
    value-5
    """