spark functions 源码
spark functions 代码
文件路径：/connector/avro/src/main/scala/org/apache/spark/sql/avro/functions.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.sql.avro
import scala.collection.JavaConverters._
import org.apache.spark.annotation.Experimental
import org.apache.spark.sql.Column
// scalastyle:off: object.name
object functions {
// scalastyle:on: object.name
/**
* Converts a binary column of avro format into its corresponding catalyst value. The specified
* schema must match the read data, otherwise the behavior is undefined: it may fail or return
* arbitrary result.
*
* @param data the binary column.
* @param jsonFormatSchema the avro schema in JSON string format.
*
* @since 3.0.0
*/
@Experimental
def from_avro(
data: Column,
jsonFormatSchema: String): Column = {
new Column(AvroDataToCatalyst(data.expr, jsonFormatSchema, Map.empty))
}
/**
* Converts a binary column of Avro format into its corresponding catalyst value.
* The specified schema must match actual schema of the read data, otherwise the behavior
* is undefined: it may fail or return arbitrary result.
* To deserialize the data with a compatible and evolved schema, the expected Avro schema can be
* set via the option avroSchema.
*
* @param data the binary column.
* @param jsonFormatSchema the avro schema in JSON string format.
* @param options options to control how the Avro record is parsed.
*
* @since 3.0.0
*/
@Experimental
def from_avro(
data: Column,
jsonFormatSchema: String,
options: java.util.Map[String, String]): Column = {
new Column(AvroDataToCatalyst(data.expr, jsonFormatSchema, options.asScala.toMap))
}
/**
* Converts a column into binary of avro format.
*
* @param data the data column.
*
* @since 3.0.0
*/
@Experimental
def to_avro(data: Column): Column = {
new Column(CatalystDataToAvro(data.expr, None))
}
/**
* Converts a column into binary of avro format.
*
* @param data the data column.
* @param jsonFormatSchema user-specified output avro schema in JSON string format.
*
* @since 3.0.0
*/
@Experimental
def to_avro(data: Column, jsonFormatSchema: String): Column = {
new Column(CatalystDataToAvro(data.expr, Some(jsonFormatSchema)))
}
}
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