spark FailureSafeParser 源码

  • 2022-10-20
  • 浏览 (251)

spark FailureSafeParser 代码

文件路径:/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/FailureSafeParser.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.catalyst.util

import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.GenericInternalRow
import org.apache.spark.sql.errors.QueryExecutionErrors
import org.apache.spark.sql.types.StructType
import org.apache.spark.unsafe.types.UTF8String

class FailureSafeParser[IN](
    rawParser: IN => Iterable[InternalRow],
    mode: ParseMode,
    schema: StructType,
    columnNameOfCorruptRecord: String) {

  private val corruptFieldIndex = schema.getFieldIndex(columnNameOfCorruptRecord)
  private val actualSchema = StructType(schema.filterNot(_.name == columnNameOfCorruptRecord))
  private val resultRow = new GenericInternalRow(schema.length)
  private val nullResult = new GenericInternalRow(schema.length)

  // This function takes 2 parameters: an optional partial result, and the bad record. If the given
  // schema doesn't contain a field for corrupted record, we just return the partial result or a
  // row with all fields null. If the given schema contains a field for corrupted record, we will
  // set the bad record to this field, and set other fields according to the partial result or null.
  private val toResultRow: (Option[InternalRow], () => UTF8String) => InternalRow = {
    if (corruptFieldIndex.isDefined) {
      (row, badRecord) => {
        var i = 0
        while (i < actualSchema.length) {
          val from = actualSchema(i)
          resultRow(schema.fieldIndex(from.name)) = row.map(_.get(i, from.dataType)).orNull
          i += 1
        }
        resultRow(corruptFieldIndex.get) = badRecord()
        resultRow
      }
    } else {
      (row, _) => row.getOrElse(nullResult)
    }
  }

  def parse(input: IN): Iterator[InternalRow] = {
    try {
      rawParser.apply(input).iterator.map(row => toResultRow(Some(row), () => null))
    } catch {
      case e: BadRecordException => mode match {
        case PermissiveMode =>
          Iterator(toResultRow(e.partialResult(), e.record))
        case DropMalformedMode =>
          Iterator.empty
        case FailFastMode =>
          throw QueryExecutionErrors.malformedRecordsDetectedInRecordParsingError(e)
      }
    }
  }
}

相关信息

spark 源码目录

相关文章

spark ArrayBasedMapBuilder 源码

spark ArrayBasedMapData 源码

spark ArrayData 源码

spark BadRecordException 源码

spark CharVarcharUtils 源码

spark CompressionCodecs 源码

spark DataTypeJsonUtils 源码

spark DateFormatter 源码

spark DateTimeFormatterHelper 源码

spark DateTimeUtils 源码

0  赞