spark-instrumented-optimizer/sql
Fokko Driesprong ab1650d293 [SPARK-24601] Update Jackson to 2.9.6
Hi all,

Jackson is incompatible with upstream versions, therefore bump the Jackson version to a more recent one. I bumped into some issues with Azure CosmosDB that is using a more recent version of Jackson. This can be fixed by adding exclusions and then it works without any issues. So no breaking changes in the API's.

I would also consider bumping the version of Jackson in Spark. I would suggest to keep up to date with the dependencies, since in the future this issue will pop up more frequently.

## What changes were proposed in this pull request?

Bump Jackson to 2.9.6

## How was this patch tested?

Compiled and tested it locally to see if anything broke.

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

Closes #21596 from Fokko/fd-bump-jackson.

Authored-by: Fokko Driesprong <fokkodriesprong@godatadriven.com>
Signed-off-by: hyukjinkwon <gurwls223@apache.org>
2018-10-05 16:40:08 +08:00
..
catalyst [SPARK-24601] Update Jackson to 2.9.6 2018-10-05 16:40:08 +08:00
core [SPARK-24601] Update Jackson to 2.9.6 2018-10-05 16:40:08 +08:00
hive [SPARK-25581][SQL] Rename method benchmark as runBenchmarkSuite in BenchmarkBase 2018-10-02 10:04:47 -07:00
hive-thriftserver Revert "[SPARK-25408] Move to mode ideomatic Java8" 2018-10-05 11:03:41 +08:00
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

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.