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HBaseCon 2015: Analyzing HBase Data with Apache Hive


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Hive/HBase integration extends the familiar analytical tooling of Hive to cover online data stored in HBase. This talk will walk through the architecture for Hive/HBase integration with a focus on some of the latest improvements such as Hive over HBase Snapshots, HBase filter pushdown, and composite keys. These changes improve the performance of the Hive/HBase integration and expose HBase to a larger audience of business users. We'll also discuss our future plans for HBase integration.

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HBaseCon 2015: Analyzing HBase Data with Apache Hive

  1. 1. Analyzing HBase Data with Apache Hive Swarnim Kulkarni, Cerner Corporation Nick Dimiduk, Hortonworks Brock Noland, StreamSets May 7th, 2015
  2. 2. Who are we? ● Nick Dimiduk o Apache HBase Committer and PMC member o Co-author of HBase in Action ● Brock Noland o Apache Hive Committer and PMC member ● Swarnim Kulkarni o Lead Architect at Cerner Corporation o Contributor to Apache Hive
  3. 3. Agenda ● Apache Hive Basics ● Hive + HBase - Architecture ● Hive + HBase - Features and Improvements ● Future Work ● Q & A
  4. 4. Apache Hive ● De Facto standard for ad-hoc analysis of data in Hadoop ● SQL-like language called HiveQL for querying of data ● Scalable o SQL queries translate to M/R jobs ● Extensible o Plugin custom mappers/reducers o Custom UDFs/UDAFs o Custom FileFormats/SerDes
  5. 5. Apache Hive
  6. 6. Hive/HBase Integration ● Brings best of both world together ● Familiar analytical tooling of Hive to cover online data stored in HBase ● No need for analysts to write M/R jobs to analyze the data in HBase ● Uses StorageHandler to access data stored and managed by HBase
  7. 7. Hive/HBase Integration
  8. 8. Improvements and New features
  9. 9. Query HBase Snapshots (HIVE-6584) ● Queries over HBase snapshots on HDFS instead of online Region Servers ● Specify instead of to query the snapshot ● Under the hood: o Map tasks embed mini-RS, open snapshot regions o Snapshot restored to a unique directory under /tmp o Location override: hive.hbase.snapshot.restoredir
  10. 10. Query HBase Snapshots (HIVE-6584) Query without snapshots hive> CREATE EXTERNAL TABLE store_sales(...) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' ...; hive> SELECT * FROM store_sales WHERE ss_item_sk > 60010 and ss_ticket_number < 60030;
  11. 11. Query HBase Snapshots (HIVE-6584) Query with snapshots hbase(main)> snapshot 'store_sales', 'store_sales_snap0' hive> SET; hive> SELECT * FROM store_sales WHERE ss_item_sk > 60010 and ss_ticket_number < 60030;
  12. 12. ● Create HFiles with HBaseStorageHandler ● Set the following properties: o set hive.hbase.generatehfiles=true o set; ● can also be set as a table property HFile support for bulk HBase uploads (HIVE- 6473)
  13. 13. HFile support for bulk HBase uploads (HIVE- 6473) hive> CREATE EXTERNAL TABLE store_sales(...) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' ...; hive> SET hive.hbase.generatehfiles=true; hive> SET; hive> INSERT OVERWRITE TABLE store_sales SELECT DISTINCT key, value FROM some_table CLUSTER BY key;
  14. 14. Query HBase composite keys (HIVE-2599) ● Support simple and complex implementations ● Delimiters for delimited composite keys provided as a part of the DDL ● For complex implementations, custom implementation of HBaseCompositeKey or HBaseKeyFactory
  15. 15. hive> CREATE EXTERNAL TABLE hbase_table_1(key struct<a:string,b:string,c:string>, value string) ROW FORMAT DELIMITED COLLECTION ITEMS TERMINATED BY '~' STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,test- family:test-qual") TBLPROPERTIES ("" = "SIMPLE_TABLE"); hive> select key.a,key.b,key.c from hbase_table_1; Query HBase composite keys (HIVE-2599)
  16. 16. public class MyCompositeKey extends HBaseCompositeKey { /** This is a required constructor **/ MyCompositeKey(LazySimpleStructObjectInspector oi, Properties tbl, Configuration conf){ … } @Override Object getField(int n){ // override this to return the field at index “n” in the key } } # Provide this class in the DDL CREATE EXTERNAL TABLE MyTable(......)TBLPROPERTIES(..,hbase.composite.key.class=MyCompositeKey); Query HBase composite keys (HIVE-2599)
  17. 17. public interface HBaseKeyFactory extends HiveStoragePredicateHandler { /** Initialize factory with properties */ void init(HBaseSerDeParameters hbaseParam, Properties properties) throws SerDeException; /** Create custom object inspector for hbase key */ ObjectInspector createKeyObjectInspector(TypeInfo type) throws SerDeException; /** Create custom object for hbase key */ LazyObjectBase createKey(ObjectInspector inspector) throws SerDeException; /** Serialize hive object in internal format of custom key */ byte[] serializeKey(Object object, StructField field) throws IOException; } # Provide the implementation in the DDL CREATE EXTERNAL TABLE MyTable(......)TBLPROPERTIES(..,hbase.composite.key.factory=MyCompositeKeyFactory); Query HBase composite keys (HIVE-2599)
  18. 18. Query HBase timestamps (HIVE-2828) ● First class support to query HBase timestamps ● Use special :timestamp to pull up the timestamps ● Specified as part of the HBASE_COLUMN_MAPPING
  19. 19. Query HBase timestamps (HIVE-2828) hive> CREATE TABLE hbase_table (key string, value string, time timestamp) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,cf:string,:timestamp"); hive> SELECT key, value, cast(time as timestamp) FROM hbase_table WHERE key > 100 AND key < 400 AND time < 200000000000;
  20. 20. Additional Improvements ● Support to query avro structs stored in HBase (HIVE-6147) - no serializing capability yet (HIVE-8020) ● Support for pulling HBase columns with wildcards (HIVE-3725) ● Multiple bug fixes and performance enhancements
  21. 21. Coming to a Hive Release Near You! ● Query HBase Snapshots, 0.14.0 ● HFile support for bulk HBase uploads, 0.14.0 ● Query HBase composite keys, 0.13.0 ● Query HBase timestamps, 1.1.0 ● Support for pulling HBase columns with wildcards, 0.12.0
  22. 22. Future Work ● Tighter integration with Phoenix ● Stronger support for salted HBase keys (HIVE-7128) ● Support for HBase DataType API (HIVE- 6150) ● Improved HBase bulk load facility (HIVE- 4765)