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Kent Yao 16d223efee [SPARK-35091][SPARK-35090][SQL] Support extract from ANSI Intervals 
### What changes were proposed in this pull request?

In this PR, we add extract/date_part support for ANSI Intervals

The `extract` is an ANSI expression and `date_part` is NON-ANSI but exists as an equivalence for `extract`

#### expression

```
<extract expression> ::=
  EXTRACT <left paren> <extract field> FROM <extract source> <right paren>
```

#### <extract field> for interval source

```

<primary datetime field> ::=
    <non-second primary datetime field>
| SECOND
<non-second primary datetime field> ::=
    YEAR
  | MONTH
  | DAY
  | HOUR
  | MINUTE
```

#### dataType

```
If <extract field> is a <primary datetime field> that does not specify SECOND or <extract field> is not a <primary datetime field>, then the declared type of the result is an implementation-defined exact numeric type with scale 0 (zero)

Otherwise, the declared type of the result is an implementation-defined exact numeric type with scale not less than the specified or implied <time fractional seconds precision> or <interval fractional seconds precision>, as appropriate, of the SECOND <primary datetime field> of the <extract source>.
```

### Why are the changes needed?

Subtask of ANSI Intervals Support

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

Yes
1. extract/date_part support ANSI intervals
2. for non-ansi intervals, the return type is changed from long to byte when extracting hours

### How was this patch tested?

new added tests

Closes #32351 from yaooqinn/SPARK-35091.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-04-27 13:06:54 +00:00
..
catalyst [SPARK-35091][SPARK-35090][SQL] Support extract from ANSI Intervals 2021-04-27 13:06:54 +00:00
core [SPARK-35091][SPARK-35090][SQL] Support extract from ANSI Intervals 2021-04-27 13:06:54 +00:00
hive [SPARK-26164][SQL] Allow concurrent writers for writing dynamic partitions and bucket table 2021-04-27 05:37:08 +00:00
hive-thriftserver [SPARK-35068][SQL] Add tests for ANSI intervals to HiveThriftBinaryServerSuite 2021-04-20 13:17:59 +03:00
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-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +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.