| /* |
| * 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.carbondata.spark.rdd |
| |
| import org.apache.spark.{Partition, TaskContext} |
| import org.apache.spark.sql.SparkSession |
| |
| import org.apache.carbondata.common.logging.LogServiceFactory |
| import org.apache.carbondata.core.cache.dictionary.ManageDictionaryAndBTree |
| import org.apache.carbondata.core.metadata.AbsoluteTableIdentifier |
| import org.apache.carbondata.core.metadata.encoder.Encoding |
| import org.apache.carbondata.core.metadata.schema.table.column.ColumnSchema |
| import org.apache.carbondata.core.statusmanager.SegmentStatus |
| |
| /** |
| * This is a partitioner class for dividing the newly added columns into partitions |
| * |
| * @param rddId |
| * @param idx |
| * @param schema |
| */ |
| class DropColumnPartition(rddId: Int, idx: Int, schema: ColumnSchema) extends Partition { |
| override def index: Int = idx |
| |
| override def hashCode(): Int = 41 * (41 + rddId) + idx |
| |
| val columnSchema = schema |
| } |
| |
| /** |
| * This class is aimed at generating dictionary file for the newly added columns |
| */ |
| class AlterTableDropColumnRDD[K, V]( |
| @transient private val ss: SparkSession, |
| @transient private val newColumns: Seq[ColumnSchema], |
| carbonTableIdentifier: AbsoluteTableIdentifier) |
| extends CarbonRDD[(Int, SegmentStatus)](ss, Nil) { |
| |
| override def internalGetPartitions: Array[Partition] = { |
| newColumns.zipWithIndex.map { column => |
| new DropColumnPartition(id, column._2, column._1) |
| }.toArray |
| } |
| |
| override def internalCompute(split: Partition, |
| context: TaskContext): Iterator[(Int, SegmentStatus)] = { |
| val LOGGER = LogServiceFactory.getLogService(this.getClass.getName) |
| val status = SegmentStatus.SUCCESS |
| val iter = new Iterator[(Int, SegmentStatus)] { |
| try { |
| val columnSchema = split.asInstanceOf[DropColumnPartition].columnSchema |
| if (columnSchema.hasEncoding(Encoding.DICTIONARY) && |
| !columnSchema.hasEncoding(Encoding.DIRECT_DICTIONARY)) { |
| ManageDictionaryAndBTree |
| .deleteDictionaryFileAndCache(columnSchema, carbonTableIdentifier) |
| } |
| } catch { |
| case ex: Exception => |
| LOGGER.error(ex.getMessage, ex) |
| throw ex |
| } |
| |
| var finished = false |
| |
| override def hasNext: Boolean = { |
| |
| if (!finished) { |
| finished = true |
| finished |
| } else { |
| !finished |
| } |
| } |
| |
| override def next(): (Int, SegmentStatus) = { |
| (split.index, status) |
| } |
| } |
| iter |
| } |
| |
| } |