spark-instrumented-optimizer/sql
Jungtaek Lim (HeartSaVioR) 34f606678a [SPARK-27001][SQL] Refactor "serializerFor" method between ScalaReflection and JavaTypeInference
## What changes were proposed in this pull request?

This patch proposes refactoring `serializerFor` method between `ScalaReflection` and `JavaTypeInference`, being consistent with what we refactored for `deserializerFor` in #23854.

This patch also extracts the logic on recording walk type path since the logic is duplicated across `serializerFor` and `deserializerFor` with `ScalaReflection` and `JavaTypeInference`.

## How was this patch tested?

Existing tests.

Closes #23908 from HeartSaVioR/SPARK-27001.

Authored-by: Jungtaek Lim (HeartSaVioR) <kabhwan@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-03-04 10:45:48 +08:00
..
catalyst [SPARK-27001][SQL] Refactor "serializerFor" method between ScalaReflection and JavaTypeInference 2019-03-04 10:45:48 +08:00
core [SPARK-26982][SQL] Enhance describe framework to describe the output of a query. 2019-03-02 11:21:23 +08:00
hive [SPARK-26982][SQL] Enhance describe framework to describe the output of a query. 2019-03-02 11:21:23 +08:00
hive-thriftserver [SPARK-24570][SQL] Implement Spark own GetTablesOperation to fix SQL client tools cannot show tables 2019-02-17 23:35:45 -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.