spark-instrumented-optimizer/sql
wenfang 4d58cd77f9 [SPARK-30330][SQL] Support single quotes json parsing for get_json_object and json_tuple
### What changes were proposed in this pull request?

I execute some query as` select get_json_object(ytag, '$.y1') AS y1 from t4`; SparkSQL return null but  Hive return correct results.
In my production environment, ytag is a json wrapped by single quotes,as follows
```
{'y1': 'shuma', 'y2': 'shuma:shouji'}
{'y1': 'jiaoyu', 'y2': 'jiaoyu:gaokao'}
{'y1': 'yule', 'y2': 'yule:mingxing'}
```
Then l realized some functions including get_json_object and json_tuple does not support  single quotes json parsing.
So l provide this PR to resolve the question.

### Why are the changes needed?

Enabled for Hive compatibility

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

NO

### How was this patch tested?

NEW TESTS

Closes #26965 from wenfang6/enableSingleQuotesJsonForSparkSQL.

Authored-by: wenfang <wenfang@360.cn>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2019-12-26 11:45:31 +09:00
..
catalyst [SPARK-30330][SQL] Support single quotes json parsing for get_json_object and json_tuple 2019-12-26 11:45:31 +09:00
core [SPARK-30330][SQL] Support single quotes json parsing for get_json_object and json_tuple 2019-12-26 11:45:31 +09:00
hive [SPARK-17398][SQL] Fix ClassCastException when querying partitioned JSON table 2019-12-20 10:39:26 -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.