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caoxuewen 94de5609be
[SPARK-25848][SQL][TEST] Refactor CSVBenchmarks to use main method 
## What changes were proposed in this pull request?

use spark-submit:
`bin/spark-submit --class org.apache.spark.sql.execution.datasources.csv.CSVBenchmark --jars ./core/target/spark-core_2.11-3.0.0-SNAPSHOT-tests.jar,./sql/catalyst/target/spark-catalyst_2.11-3.0.0-SNAPSHOT-tests.jar ./sql/core/target/spark-sql_2.11-3.0.0-SNAPSHOT-tests.jar`

Generate benchmark result:
`SPARK_GENERATE_BENCHMARK_FILES=1 build/sbt "sql/test:runMain org.apache.spark.sql.execution.datasources.csv.CSVBenchmark"`

## How was this patch tested?

manual tests

Closes #22845 from heary-cao/CSVBenchmarks.

Authored-by: caoxuewen <cao.xuewen@zte.com.cn>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
2018-10-30 09:18:55 -07:00
..
catalyst [MINOR][SQL] Avoid hardcoded configuration keys in SQLConf's doc 2018-10-30 07:38:26 +08:00
core [SPARK-25848][SQL][TEST] Refactor CSVBenchmarks to use main method 2018-10-30 09:18:55 -07:00
hive [SPARK-25864][SQL][TEST] Make main args accessible for BenchmarkBase's subclass 2018-10-29 20:00:31 +08:00
hive-thriftserver [SPARK-25735][CORE][MINOR] Improve start-thriftserver.sh: print clean usage and exit with code 1 2018-10-17 09:56:17 -05:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 allow 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.

Running sql/create-docs.sh generates SQL documentation for built-in functions under sql/site.