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## What changes were proposed in this pull request? Issue: Querying on a global temp view throws Table or view not found exception. Fix: Update the lookupRelation in HiveSessionCatalog to check for global temp views similar to the SessionCatalog.lookupRelation. Before fix: Querying on a global temp view ( for. e.g.: select * from global_temp.v1) throws Table or view not found exception After fix: Query succeeds and returns the right result. ## How was this patch tested? - Two unit tests are added to check for global temp view for the code path when hive support is enabled. - Regression unit tests were run successfully. ( build/sbt -Phive hive/test, build/sbt sql/test, build/sbt catalyst/test) Author: Sunitha Kambhampati <skambha@us.ibm.com> Closes #15649 from skambha/lookuprelationChanges. |
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README.md |
Spark SQL
This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.
Spark SQL is broken up into four subprojects:
- Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
- Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
- Hive Support (sql/hive) - Includes an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows users to run queries that include Hive UDFs, UDAFs, and UDTFs.
- HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.