959cf50a1b
### What changes were proposed in this pull request? Add RowToColumnConverter for BinaryType ### Why are the changes needed? currently, we have RowToColumnConverter for all data types except BinaryType ``` private def getConverterForType(dataType: DataType, nullable: Boolean): TypeConverter = { val core = dataType match { case BooleanType => BooleanConverter case ByteType => ByteConverter case ShortType => ShortConverter case IntegerType | DateType => IntConverter case FloatType => FloatConverter case LongType | TimestampType => LongConverter case DoubleType => DoubleConverter case StringType => StringConverter case CalendarIntervalType => CalendarConverter case at: ArrayType => ArrayConverter(getConverterForType(at.elementType, at.containsNull)) case st: StructType => new StructConverter(st.fields.map( (f) => getConverterForType(f.dataType, f.nullable))) case dt: DecimalType => new DecimalConverter(dt) case mt: MapType => MapConverter(getConverterForType(mt.keyType, nullable = false), getConverterForType(mt.valueType, mt.valueContainsNull)) case unknown => throw QueryExecutionErrors.unsupportedDataTypeError(unknown.toString) } ``` so add one for BinaryType ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? modify existing test Closes #33733 from huaxingao/binary_converter. Authored-by: Huaxin Gao <huaxin_gao@apple.com> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org> |
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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.