25de90e762
### What changes were proposed in this pull request? - Replace `Seq[String]` by `Seq[_]` in `StopWordsRemoverSuite` because `String` type is unchecked due erasure. - Throw an exception for default case in `MLTest.checkNominalOnDF` because we don't expect other attribute types currently. - Explicitly cast float to double in `BigDecimal(y)`. This is what the `apply()` method does for `float`s. - Replace deprecated `verifyZeroInteractions` by `verifyNoInteractions`. - Equivalent replacement of `\0` by `\u0000` in `CSVExprUtilsSuite` - Import `scala.language.implicitConversions` in `CollectionExpressionsSuite`, `HashExpressionsSuite` and in `ExpressionParserSuite`. ### Why are the changes needed? The changes fix compiler warnings showed in the JIRA ticket https://issues.apache.org/jira/browse/SPARK-30170 . Eliminating the warning highlights other warnings which could take more attention to real problems. ### Does this PR introduce any user-facing change? No ### How was this patch tested? By existing test suites `StopWordsRemoverSuite`, `AnalysisExternalCatalogSuite`, `CSVExprUtilsSuite`, `CollectionExpressionsSuite`, `HashExpressionsSuite`, `ExpressionParserSuite` and sub-tests of `MLTest`. Closes #26799 from MaxGekk/eliminate-warning-2. Authored-by: Maxim Gekk <max.gekk@gmail.com> Signed-off-by: Sean Owen <srowen@gmail.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 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
.