8e2169696f
## What changes were proposed in this pull request? Invoking ArrayContains function with non nullable array type throws the following error in the code generation phase. Below is the error snippet. ```SQL Code generation of array_contains([1,2,3], 1) failed: java.util.concurrent.ExecutionException: org.codehaus.commons.compiler.CompileException: File 'generated.java', Line 40, Column 11: failed to compile: org.codehaus.commons.compiler.CompileException: File 'generated.java', Line 40, Column 11: Expression "isNull_0" is not an rvalue java.util.concurrent.ExecutionException: org.codehaus.commons.compiler.CompileException: File 'generated.java', Line 40, Column 11: failed to compile: org.codehaus.commons.compiler.CompileException: File 'generated.java', Line 40, Column 11: Expression "isNull_0" is not an rvalue at com.google.common.util.concurrent.AbstractFuture$Sync.getValue(AbstractFuture.java:306) at com.google.common.util.concurrent.AbstractFuture$Sync.get(AbstractFuture.java:293) at com.google.common.util.concurrent.AbstractFuture.get(AbstractFuture.java:116) at com.google.common.util.concurrent.Uninterruptibles.getUninterruptibly(Uninterruptibles.java:135) at com.google.common.cache.LocalCache$Segment.getAndRecordStats(LocalCache.java:2410) at com.google.common.cache.LocalCache$Segment.loadSync(LocalCache.java:2380) at com.google.common.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2342) at com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2257) at com.google.common.cache.LocalCache.get(LocalCache.java:4000) at com.google.common.cache.LocalCache.getOrLoad(LocalCache.java:4004) at com.google.common.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4874) at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.compile(CodeGenerator.scala:1305) ``` ## How was this patch tested? Added test in CollectionExpressionSuite. Closes #22315 from dilipbiswal/SPARK-25308. Authored-by: Dilip Biswal <dbiswal@us.ibm.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
.