spark package 源码
spark package 代码
文件路径：/sql/core/src/main/scala/org/apache/spark/sql/package.scala
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark
import org.apache.spark.annotation.{DeveloperApi, Unstable}
import org.apache.spark.sql.execution.SparkStrategy
/**
* Allows the execution of relational queries, including those expressed in SQL using Spark.
*
* @groupname dataType Data types
* @groupdesc Spark SQL data types.
* @groupprio dataType -3
* @groupname field Field
* @groupprio field -2
* @groupname row Row
* @groupprio row -1
*/
package object sql {
/**
* Converts a logical plan into zero or more SparkPlans. This API is exposed for experimenting
* with the query planner and is not designed to be stable across spark releases. Developers
* writing libraries should instead consider using the stable APIs provided in
* [[org.apache.spark.sql.sources]]
*/
@DeveloperApi
@Unstable
type Strategy = SparkStrategy
type DataFrame = Dataset[Row]
/**
* Metadata key which is used to write Spark version in the followings:
* - Parquet file metadata
* - ORC file metadata
* - Avro file metadata
*
* Note that Hive table property `spark.sql.create.version` also has Spark version.
*/
private[sql] val SPARK_VERSION_METADATA_KEY = "org.apache.spark.version"
/**
* The metadata key which is used to write the current session time zone into:
* - Parquet file metadata
* - Avro file metadata
*/
private[sql] val SPARK_TIMEZONE_METADATA_KEY = "org.apache.spark.timeZone"
/**
* Parquet/Avro file metadata key to indicate that the file was written with legacy datetime
* values.
*/
private[sql] val SPARK_LEGACY_DATETIME_METADATA_KEY = "org.apache.spark.legacyDateTime"
/**
* Parquet file metadata key to indicate that the file with INT96 column type was written
* with rebasing.
*/
private[sql] val SPARK_LEGACY_INT96_METADATA_KEY = "org.apache.spark.legacyINT96"
}
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