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Kazuaki Ishizaki c5583fdcd2 [SPARK-23466][SQL] Remove redundant null checks in generated Java code by GenerateUnsafeProjection 
## What changes were proposed in this pull request?

This PR works for one of TODOs in `GenerateUnsafeProjection` "if the nullability of field is correct, we can use it to save null check" to simplify generated code.
When `nullable=false` in `DataType`, `GenerateUnsafeProjection` removed code for null checks in the generated Java code.

## How was this patch tested?

Added new test cases into `GenerateUnsafeProjectionSuite`

Closes #20637 from kiszk/SPARK-23466.

Authored-by: Kazuaki Ishizaki <ishizaki@jp.ibm.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
2018-09-01 12:19:19 +09:00
..
catalyst [SPARK-23466][SQL] Remove redundant null checks in generated Java code by GenerateUnsafeProjection 2018-09-01 12:19:19 +09:00
core [SPARK-25296][SQL][TEST] Create ExplainSuite 2018-08-31 08:47:20 -07:00
hive [SPARK-25256][SQL][TEST] Plan mismatch errors in Hive tests in Scala 2.12 2018-08-30 22:37:40 -05:00
hive-thriftserver [SPARK-25183][SQL] Spark HiveServer2 to use Spark ShutdownHookManager 2018-08-31 14:45:29 +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

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.