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Ingest and Stream Processing - What will you choose?

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Ingest and Stream Processing - What will you choose?

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Ingest and Stream Processing - What will you choose?

  1. 1. 1© Cloudera, Inc. All rights reserved. 13 April 2016 Ted Malaska| Principle Solutions Architect @ Cloudera, Pat Patterson| Community Champion @ StreamSets Ingest and Stream Processing - What will you choose?
  2. 2. 2© Cloudera, Inc. All rights reserved. About Ted and Pat Ted Malaska • Principal Solutions Architect @ Cloudera • Apache HBase SparkOnHBase Contributor • Contact • ted.malaska@cloudera.com • @TedMalaska Pat Patterson • Community Champion @ StreamSets • Formerly Developer Evangelist at Salesforce • Contact • pat@streamsets.com • @metadaddy
  3. 3. 3© Cloudera, Inc. All rights reserved. Streaming Patterns •Ingestion •Low Millisecond Actions •Near Real Time Complex Actions
  4. 4. 4© Cloudera, Inc. All rights reserved. Parts Of Streaming Producer Kafka Engine Destination
  5. 5. 5© Cloudera, Inc. All rights reserved. Parts Of Streaming Producer Kafka Engine Destination At Least once Ordered Partitioned At Least Once Depends Depends
  6. 6. 6© Cloudera, Inc. All rights reserved. Destinations • File Systems: example HDFS • Batch is good • Only can do exactly once is a file is closed in a single ack. • Good for Scans • Solr • Everything is Document based making exactly once • Batch is still good • Good for Search Queries
  7. 7. 7© Cloudera, Inc. All rights reserved. Destinations • NoSQL: example HBase • Everything has a row key making exactly once for writes • Increments can be applied twice is so be careful • Good for gets and puts • Kudu • Everything has a row key making exactly once for writes • Good for gets, puts, and scans
  8. 8. 8© Cloudera, Inc. All rights reserved. Ingestion Destinations • File Systems: example HDFS • Flume • Kafka Connect • Solr • Flume • Any Streaming Engine
  9. 9. 9© Cloudera, Inc. All rights reserved. Ingestion Destinations • NoSQL: example HBase • Flume • Any Streaming Engine: Storm and Spark Streaming Tested • Kudu • Flume • Kafka Connect • Any Streaming Engine: Spark Streaming Tested
  10. 10. 10© Cloudera, Inc. All rights reserved. Tricks With Producers • Send Source ID (requires Partitioning In Kafka) • Seq • UUID • UUID plus time • Partition on SourceID • Watch out for repartitions and partition fail overs
  11. 11. 11© Cloudera, Inc. All rights reserved. Streaming Engines • Consumer • Flume, KafkaConnect • Storm • Spark Streaming • Flink • Kafka Streams
  12. 12. 12© Cloudera, Inc. All rights reserved. Consumer: Flume, KafkaConnect • Simple and Works • Low latency • High throughput • Interceptors • Transformations • Alerting • Ingestions
  13. 13. 13© Cloudera, Inc. All rights reserved. Storm • Old Gen • Low latency • Low throughput • At least once • Around for ever • Topology Based
  14. 14. 14© Cloudera, Inc. All rights reserved. Spark Streaming • The Juggernaut • Higher Latency • High Through Put • Exactly Once • SQL • MlLib • Highly used • Easy to Debug/Unit Test • Easy to transition from Batch • Flow Language • 600 commits in a month and about 100 meetups
  15. 15. 15© Cloudera, Inc. All rights reserved. Spark Streaming DStream DStream DStream Single Pass Source Receiver RDD Source Receiver RDD RDD Filter Count Print Source Receiver RDD RDD RDD Single Pass Filter Count Print First Batch Second Batch
  16. 16. 16© Cloudera, Inc. All rights reserved. DStream DStream DStream Single Pass Source Receiver RDD Source Receiver RDD RDD Filter Count Print Source Receiver RDD partitions RDD Parition RDD Single Pass Filter Count Pre-first Batch First Batch Second Batch Stateful RDD 1 Print Stateful RDD 2 Stateful RDD 1 Spark Streaming
  17. 17. 17© Cloudera, Inc. All rights reserved. Flink • I’m Better Than Spark Why Doesn’t Anyone use me • Very much like Spark but not as feature rich • Lower Latency • Micro Batch -> ABS • Asynchronous Barrier Snapshotting • Flow Language • ~1/6th the comments and meetups • But Slim loves it 
  18. 18. 18© Cloudera, Inc. All rights reserved. Flink - ABS Operator Buffer
  19. 19. 19© Cloudera, Inc. All rights reserved. Operator Buffer Operator Buffer Flink - ABS Barrier 1A Hit Barrier 1B Still Behind
  20. 20. 20© Cloudera, Inc. All rights reserved. Operator Buffer Flink - ABS Both Barriers Hit Operator Buffer Barrier 1A Hit Barrier 1B Still Behind
  21. 21. 21© Cloudera, Inc. All rights reserved. Operator Buffer Flink - ABS Both Barriers Hit Operator Buffer Barrier is combined and can move on Buffer can be flushed out
  22. 22. 22© Cloudera, Inc. All rights reserved. Kafka Streams • The new Kid on the Block • When you only have Kafka • Low Latency • High Throughput • Interesting snapshot approach • Very Young • Flow Language
  23. 23. 23© Cloudera, Inc. All rights reserved. Summary about Engines • Ingestion • Flume and KafkaConnect • Super Real Time and Special • Consumer • Counting, MlLib, SQL • Spark • Maybe future and cool • Flink and KafkaStreams • Odd man out • Storm
  24. 24. 24© Cloudera, Inc. All rights reserved. StreamSets Data Collector Building a Higher Level Tool
  25. 25. 25© Cloudera, Inc. All rights reserved. Thank you!

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