Set Up & Operate Real-Time Data Loading into Hadoop
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Continuent is a leading provider of clustering and replication solutions for open-source databases, with its main product being Continuent Tungsten, which offers high-performance data management and replication for MySQL and other databases. The document highlights the capabilities of Tungsten Replicator for real-time, automated data replication from MySQL to Hadoop, supporting incremental changes and materialized views. It also discusses the integration with Hadoop tools, offering a roadmap for future enhancements and deployment options.
Set Up & Operate Real-Time Data Loading into Hadoop
- 1. ŠContinuent 2014 Real-Time Loading from MySQL to Hadoop Featuring Continuent Tungsten MC Brown, Senior Information Architect
- 2. ŠContinuent 2014 2 Introducing Continuent
- 3. ŠContinuent 2014 Introducing Continuent 3 ⢠The leading provider of clustering and replication for open source DBMS ⢠Our Product: Continuent Tungsten ⢠Clustering - Commercial-grade HA, performance scaling and data management for MySQL ⢠Replication - Flexible, high-performance data movement
- 4. ŠContinuent 2014 Quick Continuent Facts ⢠Largest Tungsten installation processes over 700 million transactions daily on 225 terabytes of data ⢠Tungsten Replicator was application of the year at the 2011 MySQL User Conference ⢠Wide variety of topologies including MySQL, Oracle, Vertica, and MongoDB are in production now ⢠MySQL to Hadoop deployments are now in progress with multiple customers 4
- 5. ŠContinuent 2014ŠContinuent 2014 Continuent Tungsten Customers 5 1
- 6. ŠContinuent 2014 6 Five Minute Hadoop Introduction
- 7. ŠContinuent 2014 What Is Hadoop, Exactly? 7 a.A distributed file system b.A method of processing massive quantities of data in parallel c.The Cutting familyâs stuffed elephant d.All of the above
- 8. ŠContinuent 2014 Hadoop Distributed File System 8 Java Client NameNode (directory) DataNodes (replicated data) Hive Pig hadoop command Find ďŹle Read block(s)
- 10. ŠContinuent 2014 Typical MySQL to Hadoop Use Case 10 Hive (Analytics) Hadoop Cluster Transaction Processing Initial Load? Latency? App changes? Materialized views? Changes? App load?
- 11. ŠContinuent 2014 Options for Loading Data 11 CSV Files Sqoop Manual Loading Sqoop Tungsten Replicator
- 12. ŠContinuent 2014 Comparing Methods in Detail 12 Manual via CSV Sqoop Tungsten Replicator Process Manual/ Scripted Manual/ Scripted Fully automated Incremental Loading Possible with DDL changes Requires DDL changes Fully supported Latency Full-load Intermittent Real-time Extraction Requirements Full table scan Full and partial table scans Low-impact binlog scan
- 13. ŠContinuent 2014 13 Replicating MySQL Data to Hadoop using Tungsten Replicator
- 14. ŠContinuent 2014 What is Tungsten Replicator? 14 A real-time, high-performance, open source database replication engine ! GPLV2 license - 100% open source Download from https://code.google.com/p/tungsten-replicator/ Annual support subscription available from Continuent âGoldenGate without the Price TagâÂŽ
- 15. ŠContinuent 2014 Tungsten Replicator Overview 15 Master (Transactions + Metadata) Slave THL DBMS Logs Replicator (Transactions + Metadata) THLReplicator Extract transactions from log Apply
- 16. ŠContinuent 2014 Tungsten Replicator 3.0 & Hadoop 16 ⢠Extract from MySQL or Oracle ⢠Base Hadoop support ⢠Platforms: Cloudera, HortonWorks, MapR, Amazon EMR, IBM InfoSphere BigInsights ⢠Provision using Sqoop or parallel extraction ⢠Automatic replication of incremental changes ⢠Transformation to preferred HDFS formats ⢠Schema generation for Hive ⢠Tools for generating materialized views
- 17. ŠContinuent 2014 Hadoop Support 17 Hadoop Hadoop-BaseFS Apache Hadoop Yes Yes Cloudera Yes (CertiďŹed) Yes (CertiďŹed) MapR Yes HortonWorks Yes (Awaiting CertiďŹcation) IBM InfoSphere BigInsights Yes Amazon EMR Yes
- 18. ŠContinuent 2014 Basic MySQL to Hadoop Replication 18 MySQL Tungsten Master Replicator hadoop Master-Side Filtering * pkey - Fill in pkey info * colnames - Fill in names * cdc - Add update type and schema/table info * source - Add source DBMS * replicate - Subset tables to be replicated binlog_format=row Tungsten Slave Replicator hadoop MySQL Binlog CSV Files CSV Files CSV Files CSV Files CSV Files Hadoop Cluster Extract from MySQL binlog Load raw CSV to HDFS (e.g., via LOAD DATA to Hive) Access via Hive
- 19. ŠContinuent 2014 Hadoop Data Loading - Gory Details 19 Replicator hadoop Transactions from master CSV Files CSV Files CSV Files Staging Tables Staging Tables Staging âTablesâ Base TablesBase TablesMaterializedViews Javascript load script e.g. hadoop.js Write data to CSV (Run Map/ Reduce) (Generate Table DeďŹnitions) (Generate Table DeďŹnitions) Load using hadoop command
- 20. ŠContinuent 2014 20 Demo #1 ! Replicating sysbench data
- 21. ŠContinuent 2014 21 Viewing MySQL Data in Hadoop
- 22. ŠContinuent 2014 Generating Staging Table Schema 22 $ ddlscan -template ddl-mysql-hive-0.10-staging.vm ! -user tungsten -pass secret ! -url jdbc:mysql:thin://logos1:3306/db01 -db db01! ...! DROP TABLE IF EXISTS db01.stage_xxx_sbtest;! ! CREATE EXTERNAL TABLE db01.stage_xxx_sbtest! (! tungsten_opcode STRING ,! tungsten_seqno INT ,! tungsten_row_id INT ,! id INT ,! k INT ,! c STRING ,! pad STRING)! ROW FORMAT DELIMITED FIELDS TERMINATED BY '001' ESCAPED BY ''! LINES TERMINATED BY 'n'! STORED AS TEXTFILE LOCATION '/user/tungsten/staging/db01/sbtest';
- 23. ŠContinuent 2014 Generating Base Table Schema $ ddlscan -template ddl-mysql-hive-0.10.vm -user tungsten ! -pass secret -url jdbc:mysql:thin://logos1:3306/db01 -db db01! ...! DROP TABLE IF EXISTS db01.sbtest;! ! CREATE TABLE db01.sbtest! (! id INT ,! k INT ,! c STRING ,! pad STRING )! ;! 23
- 24. ŠContinuent 2014 Creating a Materialized View in Theory 24 Log #1 Log #2 Log #N... MAP Sort by key(s), transaction order REDUCE Emit last row per key if not a delete
- 25. ŠContinuent 2014 Creating a Materialized View in Hive $ hive! ...! hive> ADD FILE /home/rhodges/github/continuent-tools-hadoop/bin/ tungsten-reduce;! hive> FROM ( ! SELECT sbx.*! FROM db01.stage_xxx_sbtest sbx! DISTRIBUTE BY id ! SORT BY id,tungsten_seqno,tungsten_row_id! ) map1! INSERT OVERWRITE TABLE db01.sbtest! SELECT TRANSFORM(! tungsten_opcode,tungsten_seqno,tungsten_row_id,id,k,c,pad)! USING 'perl tungsten-reduce -k id -c tungsten_opcode,tungsten_seqno,tungsten_row_id,id,k,c,pad'! AS id INT,k INT,c STRING,pad STRING;! ... 25 MAP REDUCE
- 26. ŠContinuent 2014 Comparing MySQL and Hadoop Data $ export TUNGSTEN_EXT_LIBS=/usr/lib/hive/lib! ...! $ /opt/continuent/tungsten/bristlecone/bin/dc ! -url1 jdbc:mysql:thin://logos1:3306/db01 ! -user1 tungsten -password1 secret ! -url2 jdbc:hive2://localhost:10000 ! -user2 'tungsten' -password2 'secret' -schema db01 ! -table sbtest -verbose -keys id ! -driver org.apache.hive.jdbc.HiveDriver! 22:33:08,093 INFO DC - Data comparison utility! ...! 22:33:24,526 INFO Tables compare OK! 26
- 27. ŠContinuent 2014 Doing it all at once $ git clone ! https://github.com/continuent/continuent-tools- hadoop.git! ! $ cd continuent-tools-hadoop! ! $ bin/load-reduce-check ! -U jdbc:mysql:thin://logos1:3306/db01 ! -s db01 --verbose 27
- 28. ŠContinuent 2014 28 Demo #2 ! Constructing and Checking a Materialized View
- 29. ŠContinuent 2014 29 Scaling It Up!
- 30. ŠContinuent 2014 MySQL to Hadoop Fan-In Architecture 30 Replicator m1 (slave) m2 (slave) m3 (slave) Replicator m1 (master) m2 (master) m3 (master) Replicator Replicator RBR RBR Slaves Hadoop Cluster (many nodes) Masters RBR
- 31. ŠContinuent 2014 Integration with Provisioning 31 MySQL Tungsten Master hadoop binlog_format=row Tungsten Slave hadoop MySQL Binlog CSV Files CSV Files CSV Files CSV Files CSV Files Hadoop Cluster Access via Hive Sqoop/ETL (Initial provisioning run)
- 32. ŠContinuent 2014 On-Demand Provisioning via Parallel Extract 32 MySQL Tungsten Master Replicator hadoop Master-Side Filtering * pkey - Fill in pkey info * colnames - Fill in names * cdc - Add update type and schema/table info * source - Add source DBMS * replicate - Subset tables to be replicated (other ďŹlters as needed) binlog_format=row Tungsten Slave Replicator hadoop MySQL Binlog CSV Files CSV Files CSV Files CSV Files CSV Files Hadoop Cluster Extract from MySQL tables Load raw CSV to HDFS (e.g., via LOAD DATA to Hive) Access via Hive
- 33. ŠContinuent 2014 Tungsten Replicator Roadmap 33 ⢠Parallel CSV file loading (supported) ⢠Partition loaded data by commit time (supported) ⢠Expanded Data format support (CSV, JSON) ⢠Replication out of Hadoop
- 34. ŠContinuent 2014 Continuent Hadoop Tools Roadmap ⢠HBase Data Support & Materialization ⢠Impala Data Support & Materialization ⢠Integration with emerging real-time analytics (e.g. Storm, Spark, Shark, Stinger, âŚ) ⢠Point-in Time Table Generation ⢠Time-Series Generation ⢠Rolling and Managed Materialization ⢠Replicator driven data manipulation (e.g. denormalisation, combining, âŚ) 34
- 35. ŠContinuent 2014 35 Getting Started with Continuent Tungsten
- 36. ŠContinuent 2014 Where Is Everything? 36 ⢠Tungsten Replicator 3.0 builds are now available on code.google.com http://code.google.com/p/tungsten-replicator/ ⢠Replicator 3.0 documentation is available on Continuent website http://docs.continuent.com/tungsten-replicator-3.0/ deployment-hadoop.html ⢠Tungsten Hadoop tools are available on GitHub https://github.com/continuent/continuent-tools-hadoop Contact Continuent for support
- 37. ŠContinuent 2014 Commercial Terms ⢠Replicator features are open source (GPL V2) ⢠Investment Elements ⢠POC / Development (Walk Away Option) ⢠Production Deployment ⢠Annual Support Subscription ⢠Governing Principles ⢠Annual Subscription Required ⢠More Upfront Investment -> Less Annual Subscription 37
- 38. ŠContinuent 2014 We Do Clustering Too! 38 Tungsten clusters combine off- the-shelf open source MySQL servers into data services with: ! ⢠24x7 data access ⢠Scaling of load on replicas ⢠Simple management commands ! ...without app changes or data migration Amazon US West apache /php GonzoPortal.com Connector Connector
- 39. ŠContinuent 2014 In Conclusion: Tungsten Offers... ⢠Fully automated, real-time replication from MySQL into Hadoop ⢠Support for automatic transformation to HDFS data formats and creation of full materialized views ⢠Positions users to take advantage of evolving real- time features in Hadoop 39
- 40. ŠContinuent 2014 Continuent Web Page: http://www.continuent.com ! Tungsten Replicator: http://code.google.com/p/tungsten-replicator Our Blogs: http://scale-out-blog.blogspot.com http://mcslp.wordpress.com http://www.continuent.com/news/blogs 560 S. Winchester Blvd., Suite 500 San Jose, CA 95128 Tel +1 (866) 998-3642 Fax +1 (408) 668-1009 e-mail: [email protected]