spark-instrumented-optimizer/sql
Maxim Gekk fb60c2a170 [SPARK-29671][SQL] Simplify string representation of intervals
### What changes were proposed in this pull request?
In the PR, I propose to changed `CalendarInterval.toString`:
- to skip the `week` unit
- to convert `milliseconds` and `microseconds` as the fractional part of the `seconds` unit.

### Why are the changes needed?
To improve readability.

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

### How was this patch tested?
- By `CalendarIntervalSuite` and `IntervalUtilsSuite`
- `literals.sql`, `datetime.sql` and `interval.sql`

Closes #26367 from MaxGekk/interval-to-string-format.

Authored-by: Maxim Gekk <max.gekk@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-11-03 22:56:59 -08:00
..
catalyst [SPARK-29671][SQL] Simplify string representation of intervals 2019-11-03 22:56:59 -08:00
core [SPARK-29671][SQL] Simplify string representation of intervals 2019-11-03 22:56:59 -08:00
hive Revert "Prepare Spark release v3.0.0-preview-rc2" 2019-10-30 17:45:44 -07:00
hive-thriftserver Revert "Prepare Spark release v3.0.0-preview-rc2" 2019-10-30 17:45:44 -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.