ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
wangzhenhua c8da535600 [SPARK-20718][SQL] FileSourceScanExec with different filter orders should be the same after canonicalization 
## What changes were proposed in this pull request?

Since `constraints` in `QueryPlan` is a set, the order of filters can differ. Usually this is ok because of canonicalization. However, in `FileSourceScanExec`, its data filters and partition filters are sequences, and their orders are not canonicalized. So `def sameResult` returns different results for different orders of data/partition filters. This leads to, e.g. different decision for `ReuseExchange`, and thus results in unstable performance.

## How was this patch tested?

Added a new test for `FileSourceScanExec.sameResult`.

Author: wangzhenhua <wangzhenhua@huawei.com>

Closes #17959 from wzhfy/canonicalizeFileSourceScanExec.
2017-05-12 13:42:48 +08:00
..
catalyst [SPARK-20665][SQL] Bround" and "Round" function return NULL 2017-05-12 11:38:50 +08:00
core [SPARK-20718][SQL] FileSourceScanExec with different filter orders should be the same after canonicalization 2017-05-12 13:42:48 +08:00
hive Revert "[SPARK-12297][SQL] Hive compatibility for Parquet Timestamps" 2017-05-09 11:35:59 -07:00
hive-thriftserver [SPARK-20393][WEBU UI] Strengthen Spark to prevent XSS vulnerabilities 2017-05-10 10:59:57 +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.