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Gengliang Wang ee945e99cc [SPARK-36055][SQL] Assign pretty SQL string to TimestampNTZ literals 
### What changes were proposed in this pull request?

Currently the TimestampNTZ literals shows only long value instead of timestamp string in its SQL string and toString result.
Before changes (with default timestamp type as TIMESTAMP_NTZ)
```
– !query
select timestamp '2019-01-01\t'
– !query schema
struct<1546300800000000:timestamp_ntz>
```

After changes:
```
– !query
select timestamp '2019-01-01\t'
– !query schema
struct<TIMESTAMP_NTZ '2019-01-01 00:00:00':timestamp_ntz>
```
### Why are the changes needed?

Make the schema of TimestampNTZ literals readable.

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

No

### How was this patch tested?

Unit test

Closes #33269 from gengliangwang/ntzLiteralString.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
2021-07-08 21:42:50 +03:00
..
catalyst [SPARK-36055][SQL] Assign pretty SQL string to TimestampNTZ literals 2021-07-08 21:42:50 +03:00
core [SPARK-36055][SQL] Assign pretty SQL string to TimestampNTZ literals 2021-07-08 21:42:50 +03:00
hive [SPARK-36012][SQL] Add null flag in SHOW CREATE TABLE 2021-07-09 01:21:38 +08:00
hive-thriftserver [SPARK-35958][CORE] Refactor SparkError.scala to SparkThrowable.java 2021-07-08 23:54:53 +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 [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

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 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.