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[SPARK-20471] Remove AggregateBenchmark testsuite warning: Two level hashmap...
caoxuewen authored 
[SPARK-20471] Remove AggregateBenchmark testsuite warning: Two level hashmap is disabled but vectorized hashmap is enabled

What changes were proposed in this pull request?

remove  AggregateBenchmark testsuite warning:
such as '14:26:33.220 WARN org.apache.spark.sql.execution.aggregate.HashAggregateExec: Two level hashmap is disabled but vectorized hashmap is enabled.'

How was this patch tested?
unit tests: AggregateBenchmark
Modify the 'ignore function for 'test funtion

Author: caoxuewen <cao.xuewen@zte.com.cn>

Closes #17771 from heary-cao/AggregateBenchmark.
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catalyst
core
hive-thriftserver
hive
README.md
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.