ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Yuming Wang 6e05e99143 [SPARK-34342][SQL] Format DateLiteral and TimestampLiteral toString 
### What changes were proposed in this pull request?

This pr format DateLiteral and TimestampLiteral toString. For example:
```sql
SELECT * FROM date_dim WHERE d_date BETWEEN (cast('2000-03-11' AS DATE) - INTERVAL 30 days) AND (cast('2000-03-11' AS DATE) + INTERVAL 30 days)
```
Before this pr:
```
Condition : (((isnotnull(d_date#18) AND (d_date#18 >= 10997)) AND (d_date#18 <= 11057))
```
After this pr:
```
Condition : (((isnotnull(d_date#14) AND (d_date#14 >= 2000-02-10)) AND (d_date#14 <= 2000-04-10))
```

### Why are the changes needed?

Make the plan more readable.

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

No.

### How was this patch tested?

Unit test.

Closes #31455 from wangyum/SPARK-34342.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2021-02-06 19:49:38 -08:00
..
catalyst [SPARK-34342][SQL] Format DateLiteral and TimestampLiteral toString 2021-02-06 19:49:38 -08:00
core [SPARK-34342][SQL] Format DateLiteral and TimestampLiteral toString 2021-02-06 19:49:38 -08:00
hive [SPARK-34370][SQL] Support Avro schema evolution for partitioned Hive tables using "avro.schema.url" 2021-02-06 17:25:39 -08:00
hive-thriftserver [SPARK-34346][CORE][SQL] io.file.buffer.size set by spark.buffer.size will override by loading hive-site.xml accidentally may cause perf regression 2021-02-05 10:13:19 +09:00
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-34022][DOCS][FOLLOW-UP] Fix typo in SQL built-in function docs 2021-01-06 09:28:22 -08:00
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.