a454510917
### What changes were proposed in this pull request?
Since 3.0.0, we make CalendarInterval public for input, it's better for it to be inferred to CalendarIntervalType.
In the PR, we add a rule for CalendarInterval to be mapped to CalendarIntervalType in ScalaRelection, then records(e.g case class, tuples ...) contains interval fields are able to convert to a Dataframe.
### Why are the changes needed?
CalendarInterval is public but can not be used as input for Datafame.
```scala
scala> import org.apache.spark.unsafe.types.CalendarInterval
import org.apache.spark.unsafe.types.CalendarInterval
scala> Seq((1, new CalendarInterval(1, 2, 3))).toDF("a", "b")
java.lang.UnsupportedOperationException: Schema for type org.apache.spark.unsafe.types.CalendarInterval is not supported
at org.apache.spark.sql.catalyst.ScalaReflection$.$anonfun$schemaFor$1(ScalaReflection.scala:735)
```
this should be supported as well as
```scala
scala> sql("select interval 2 month 1 day a")
res2: org.apache.spark.sql.DataFrame = [a: interval]
```
### Does this PR introduce any user-facing change?
Yes, records(e.g case class, tuples ...) contains interval fields are able to convert to a Dataframe
### How was this patch tested?
add uts
Closes #28165 from yaooqinn/SPARK-31392.
Authored-by: Kent Yao <yaooqinn@hotmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
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|---|---|---|
| .. | ||
| catalyst | ||
| core | ||
| hive | ||
| hive-thriftserver | ||
| create-docs.sh | ||
| gen-sql-api-docs.py | ||
| gen-sql-config-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.