519e03d82e
## What changes were proposed in this pull request? We should use `Block.isEmpty/nonEmpty` instead of comparing with empty string to check whether the code is empty or not. ``` [error] [warn] /.../sql/core/src/main/scala/org/apache/spark/sql/execution/WholeStageCodegenExec.scala:278: org.apache.spark.sql.catalyst.expressions.codegen.Block and String are unrelated: they will most likely always compare unequal [error] [warn] if (ev.code != "" && required.contains(attributes(i))) { [error] [warn] [error] [warn] /.../sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashJoinExec.scala:323: org.apache.spark.sql.catalyst.expressions.codegen.Block and String are unrelated: they will most likely never compare equal [error] [warn] | ${buildVars.filter(_.code == "").map(v => s"${v.isNull} = true;").mkString("\n")} [error] [warn] ``` ## How was this patch tested? Existing tests. Closes #22041 from ueshin/issues/SPARK-25058/fix_comparison. Authored-by: Takuya UESHIN <ueshin@databricks.com> Signed-off-by: Takuya UESHIN <ueshin@databricks.com> |
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catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-markdown.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 an extension of SQLContext called HiveContext that allows 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
.