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Kousuke Saruta 26bcf02833 [SPARK-35982][SQL] Allow from_json/to_json for map types where value types are year-month intervals 
### What changes were proposed in this pull request?

This PR fixes two issues. One is that `to_json` doesn't support `map` types where value types are `year-month` interval types like:
```
spark-sql> select to_json(map('a', interval '1-2' year to  month));
21/07/02 11:38:15 ERROR SparkSQLDriver: Failed in [select to_json(map('a', interval '1-2' year to  month))]
java.lang.RuntimeException: Failed to convert value 14 (class of class java.lang.Integer) with the type of YearMonthIntervalType(0,1) to JSON.
```
The other issue is that even if the issue of `to_json` is resolved, `from_json` doesn't support to convert `year-month` interval string to JSON. So the result of following query will be `null`.
```
spark-sql> select from_json(to_json(map('a', interval '1-2' year to month)), 'a interval year to month');
{"a":null}
```

### Why are the changes needed?

There should be no reason why year-month intervals cannot used as map value types.
`CalendarIntervalTypes` can do it.

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

No.

### How was this patch tested?

New tests.

Closes #33181 from sarutak/map-json-yminterval.

Authored-by: Kousuke Saruta <sarutak@oss.nttdata.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit 6474226852)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
2021-07-05 10:36:08 +03:00
..
catalyst [SPARK-35982][SQL] Allow from_json/to_json for map types where value types are year-month intervals 2021-07-05 10:36:08 +03:00
core [SPARK-35982][SQL] Allow from_json/to_json for map types where value types are year-month intervals 2021-07-05 10:36:08 +03:00
hive [SPARK-35686][SQL] Not allow using auto-generated alias when creating view 2021-07-01 12:47:38 +00:00
hive-thriftserver [SPARK-35966][SQL] Port HIVE-17952: Fix license headers to avoid dangling javadoc warnings 2021-07-01 18:22:04 +08:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +09:00
gen-sql-config-docs.py [SPARK-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml
README.md

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 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, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.