spark-instrumented-optimizer/sql
Sean Owen 7dff3b125d [SPARK-30272][SQL][CORE] Remove usage of Guava that breaks in 27; replace with workalikes
### What changes were proposed in this pull request?

Remove usages of Guava that no longer work in Guava 27, and replace with workalikes. I'll comment on key types of changes below.

### Why are the changes needed?

Hadoop 3.2.1 uses Guava 27, so this helps us avoid problems running on Hadoop 3.2.1+ and generally lowers our exposure to Guava.

### Does this PR introduce any user-facing change?

Should not be, but see notes below on hash codes and toString.

### How was this patch tested?

Existing tests will verify whether these changes break anything for Guava 14.
I manually built with an updated version and it compiles with Guava 27; tests running manually locally now.

Closes #26911 from srowen/SPARK-30272.

Authored-by: Sean Owen <srowen@gmail.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
2019-12-20 08:55:04 -06:00
..
catalyst [SPARK-30272][SQL][CORE] Remove usage of Guava that breaks in 27; replace with workalikes 2019-12-20 08:55:04 -06:00
core [SPARK-30272][SQL][CORE] Remove usage of Guava that breaks in 27; replace with workalikes 2019-12-20 08:55:04 -06:00
hive [SPARK-30262][SQL] Avoid NumberFormatException when totalSize is empty 2019-12-18 15:12:32 -08:00
hive-thriftserver [INFRA] Reverts commit 56dcd79 and c216ef1 2019-12-16 19:57:44 -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 [SPARK-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

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 extensions that allow 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.