ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
David Vogelbacher 034cb139a1 [SPARK-27778][PYTHON] Fix toPandas conversion of empty DataFrame with Arrow enabled 
## What changes were proposed in this pull request?
https://github.com/apache/spark/pull/22275 introduced a performance improvement where we send partitions out of order to python and then, as a last step, send the partition order as well.
However, if there are no partitions we will never send the partition order and we will get an "EofError" on the python side.
This PR fixes this by also sending the partition order if there are no partitions present.

## How was this patch tested?
New unit test added.

Closes #24650 from dvogelbacher/dv/fixNoPartitionArrowConversion.

Authored-by: David Vogelbacher <dvogelbacher@palantir.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2019-05-22 13:21:26 +09:00
..
catalyst [SPARK-24586][SQL] Upcast should not allow casting from string to other types 2019-05-22 11:35:51 +08:00
core [SPARK-27778][PYTHON] Fix toPandas conversion of empty DataFrame with Arrow enabled 2019-05-22 13:21:26 +09:00
hive [SPARK-24586][SQL] Upcast should not allow casting from string to other types 2019-05-22 11:35:51 +08:00
hive-thriftserver [SPARK-27354][SQL] Move incompatible code from the hive-thriftserver module to sql/hive-thriftserver/v1.2.1 2019-05-15 14:52:08 -07:00
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-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
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.