65da9287bc
### What changes were proposed in this pull request? When we insert data into a partition table partition with empty DataFrame. We will call `PartitioningUtils.getPathFragment()` then to update this partition's metadata too. When we insert to a partition when partition value is `null`, it will throw exception like ``` [info] java.lang.NullPointerException: [info] at scala.collection.immutable.StringOps$.length$extension(StringOps.scala:51) [info] at scala.collection.immutable.StringOps.length(StringOps.scala:51) [info] at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:35) [info] at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33) [info] at scala.collection.immutable.StringOps.foreach(StringOps.scala:33) [info] at org.apache.spark.sql.catalyst.catalog.ExternalCatalogUtils$.escapePathName(ExternalCatalogUtils.scala:69) [info] at org.apache.spark.sql.catalyst.catalog.ExternalCatalogUtils$.getPartitionValueString(ExternalCatalogUtils.scala:126) [info] at org.apache.spark.sql.execution.datasources.PartitioningUtils$.$anonfun$getPathFragment$1(PartitioningUtils.scala:354) [info] at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) [info] at scala.collection.Iterator.foreach(Iterator.scala:941) [info] at scala.collection.Iterator.foreach$(Iterator.scala:941) [info] at scala.collection.AbstractIterator.foreach(Iterator.scala:1429) [info] at scala.collection.IterableLike.foreach(IterableLike.scala:74) [info] at scala.collection.IterableLike.foreach$(IterableLike.scala:73) ``` `PartitioningUtils.getPathFragment()` should support `null` value too ### Why are the changes needed? Fix bug ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? Added UT Closes #32018 from AngersZhuuuu/SPARK-34926. Authored-by: Angerszhuuuu <angers.zhu@gmail.com> Signed-off-by: Max Gekk <max.gekk@gmail.com> |
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| .. | ||
| catalyst | ||
| core | ||
| hive | ||
| hive-thriftserver | ||
| create-docs.sh | ||
| gen-sql-api-docs.py | ||
| gen-sql-config-docs.py | ||
| 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.