7-hive-notes - Background Yahoo worked on Pig to facilitate...

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Background Yahoo worked on Pig to facilitate application deployment on Hadoop. Their need mainly was focused on unstructured data Simultaneously Facebook started working on deploying warehouse solutions on Hadoop that resulted in Hive. The size of data being collected and analyzed in industry for business intelligence (BI) is growing rapidly making traditional warehousing solution prohibitively expensive.
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Hive Architecture
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Shell: allows interactive queries Driver: session handles, fetch, execute Compiler: parse, plan, optimize Execution engine: DAG of stages (MR, HDFS, metadata) Metastore: schema, location in HDFS, owner, creation time, access attributes, SerDe HIVE: Components
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Compilation Process Parser - Converts query string to parse tree Semantic Analyzer - Converts parse tree to block-based internal query representation - Verification, expansion of select * and type checking Logical Plan Generator - Converts internal query to logical plan Optimizer -
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  • Spring '16
  • dncj ncnd
  • Join, Outer Joins, Hive Architecture, Hive QL

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