ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Ron Hu e7877fd472 [SPARK-19408][SQL] filter estimation on two columns of same table 
## What changes were proposed in this pull request?

In SQL queries, we also see predicate expressions involving two columns such as "column-1 (op) column-2" where column-1 and column-2 belong to same table. Note that, if column-1 and column-2 belong to different tables, then it is a join operator's work, NOT a filter operator's work.

This PR estimates filter selectivity on two columns of same table.  For example, multiple tpc-h queries have this predicate "WHERE l_commitdate < l_receiptdate"

## How was this patch tested?

We added 6 new test cases to test various logical predicates involving two columns of same table.

Please review http://spark.apache.org/contributing.html before opening a pull request.

Author: Ron Hu <ron.hu@huawei.com>
Author: U-CHINA\r00754707 <r00754707@R00754707-SC04.china.huawei.com>

Closes #17415 from ron8hu/filterTwoColumns.
2017-04-03 17:27:12 -07:00
..
catalyst [SPARK-19408][SQL] filter estimation on two columns of same table 2017-04-03 17:27:12 -07:00
core [SPARK-20145] Fix range case insensitive bug in SQL 2017-04-03 17:16:31 -07:00
hive [SPARK-20194] Add support for partition pruning to in-memory catalog 2017-04-03 08:48:49 -07:00
hive-thriftserver [SPARK-20173][SQL][HIVE-THRIFTSERVER] Throw NullPointerException when HiveThriftServer2 is shutdown 2017-04-02 15:39:51 +01:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -07:00

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 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.