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Maxim Gekk e933539cdd [SPARK-29864][SPARK-29920][SQL] Strict parsing of day-time strings to intervals 
### What changes were proposed in this pull request?
In the PR, I propose new implementation of `fromDayTimeString` which strictly parses strings in day-time formats to intervals. New implementation accepts only strings that match to a pattern defined by the `from` and `to`. Here is the mapping of user's bounds and patterns:
- `[+|-]D+ H[H]:m[m]:s[s][.SSSSSSSSS]` for **DAY TO SECOND**
- `[+|-]D+ H[H]:m[m]` for **DAY TO MINUTE**
- `[+|-]D+ H[H]` for **DAY TO HOUR**
- `[+|-]H[H]:m[m]s[s][.SSSSSSSSS]` for **HOUR TO SECOND**
- `[+|-]H[H]:m[m]` for **HOUR TO MINUTE**
- `[+|-]m[m]:s[s][.SSSSSSSSS]` for **MINUTE TO SECOND**

Closes #26327
Closes #26358

### Why are the changes needed?
- Improve user experience with Spark SQL, and respect to the bound specified by users.
- Behave the same as other broadly used DBMS - Oracle and MySQL.

### Does this PR introduce any user-facing change?
Yes, before:
```sql
spark-sql> SELECT INTERVAL '10 11:12:13.123' HOUR TO MINUTE;
interval 1 weeks 3 days 11 hours 12 minutes
```
After:
```sql
spark-sql> SELECT INTERVAL '10 11:12:13.123' HOUR TO MINUTE;
Error in query:
requirement failed: Interval string must match day-time format of '^(?<sign>[+|-])?(?<hour>\d{1,2}):(?<minute>\d{1,2})$': 10 11:12:13.123(line 1, pos 16)

== SQL ==
SELECT INTERVAL '10 11:12:13.123' HOUR TO MINUTE
----------------^^^
```

### How was this patch tested?
- Added tests to `IntervalUtilsSuite`
- By `ExpressionParserSuite`
- Updated `literals.sql`

Closes #26473 from MaxGekk/strict-from-daytime-string.

Authored-by: Maxim Gekk <max.gekk@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-12-12 01:08:53 +08:00
..
catalyst [SPARK-29864][SPARK-29920][SQL] Strict parsing of day-time strings to intervals 2019-12-12 01:08:53 +08:00
core [SPARK-29864][SPARK-29920][SQL] Strict parsing of day-time strings to intervals 2019-12-12 01:08:53 +08:00
hive [SPARK-30159][SQL][FOLLOWUP] Fix lint-java via removing unnecessary imports 2019-12-09 08:57:20 -08:00
hive-thriftserver [SPARK-30125][SQL] Remove PostgreSQL dialect 2019-12-11 01:22:34 +08:00
create-docs.sh
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
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

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.