spark-instrumented-optimizer/sql
Max Gekk 3ac0382759 [SPARK-36920][SQL][FOLLOWUP] Fix input types of ABS(): numeric and ANSI intervals
### What changes were proposed in this pull request?
Change allowed input types of `Abs()` from:
```
NumericType + CalendarIntervalType + YearMonthIntervalType + DayTimeIntervalType
```
to
```
NumericType + YearMonthIntervalType + DayTimeIntervalType
```

### Why are the changes needed?
The changes make the error message more clear.

Before changes:
```sql
spark-sql> set spark.sql.legacy.interval.enabled=true;
spark.sql.legacy.interval.enabled	true
spark-sql> select abs(interval -10 days -20 minutes);
21/10/05 09:11:30 ERROR SparkSQLDriver: Failed in [select abs(interval -10 days -20 minutes)]
java.lang.ClassCastException: org.apache.spark.sql.types.CalendarIntervalType$ cannot be cast to org.apache.spark.sql.types.NumericType
	at org.apache.spark.sql.catalyst.util.TypeUtils$.getNumeric(TypeUtils.scala:77)
	at org.apache.spark.sql.catalyst.expressions.Abs.numeric$lzycompute(arithmetic.scala:172)
	at org.apache.spark.sql.catalyst.expressions.Abs.numeric(arithmetic.scala:169)
```

After:
```sql
spark.sql.legacy.interval.enabled	true
spark-sql> select abs(interval -10 days -20 minutes);
Error in query: cannot resolve 'abs(INTERVAL '-10 days -20 minutes')' due to data type mismatch: argument 1 requires (numeric or interval day to second or interval year to month) type, however, 'INTERVAL '-10 days -20 minutes'' is of interval type.; line 1 pos 7;
'Project [unresolvedalias(abs(-10 days -20 minutes, false), None)]
+- OneRowRelation
```

### Does this PR introduce _any_ user-facing change?
No, because the original changes of https://github.com/apache/spark/pull/34169 haven't released yet.

### How was this patch tested?
Manually checked in the command line, see examples above.

Closes #34183 from MaxGekk/fix-abs-input-types.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
2021-10-05 15:37:08 +03:00
..
catalyst [SPARK-36920][SQL][FOLLOWUP] Fix input types of ABS(): numeric and ANSI intervals 2021-10-05 15:37:08 +03:00
core [SPARK-36920][SQL][FOLLOWUP] Fix input types of ABS(): numeric and ANSI intervals 2021-10-05 15:37:08 +03:00
hive [SPARK-36550][SQL] Propagation cause when UDF reflection fails 2021-09-29 08:30:50 -05:00
hive-thriftserver [SPARK-36774][CORE][TESTS] Move SparkSubmitTestUtils to core module and use it in SparkSubmitSuite 2021-09-16 14:28:47 -07:00
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-36657][SQL] Update comment in 'gen-sql-config-docs.py' 2021-09-02 18:50:59 -07:00
gen-sql-functions-docs.py
mkdocs.yml
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.