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76 changes: 76 additions & 0 deletions
76
...k/src/main/scala/org/apache/spark/sql/hudi/command/ShowHoodieTablePartitionsCommand.scala
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| /* | ||
| * 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.hudi.command | ||
|
|
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| import org.apache.hudi.common.table.HoodieTableMetaClient | ||
| import org.apache.hudi.common.util.PartitionPathEncodeUtils | ||
| import org.apache.spark.sql.{Row, SparkSession} | ||
| import org.apache.spark.sql.catalyst.TableIdentifier | ||
| import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec | ||
| import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeReference} | ||
| import org.apache.spark.sql.execution.command.RunnableCommand | ||
| import org.apache.spark.sql.execution.datasources.PartitioningUtils | ||
| import org.apache.spark.sql.hudi.HoodieSqlUtils._ | ||
| import org.apache.spark.sql.types.StringType | ||
|
|
||
| /** | ||
| * Command for show hudi table's partitions. | ||
| */ | ||
| case class ShowHoodieTablePartitionsCommand( | ||
| tableName: TableIdentifier, | ||
| specOpt: Option[TablePartitionSpec]) | ||
| extends RunnableCommand { | ||
|
|
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| override val output: Seq[Attribute] = { | ||
| AttributeReference("partition", StringType, nullable = false)() :: Nil | ||
| } | ||
|
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| override def run(sparkSession: SparkSession): Seq[Row] = { | ||
| val catalog = sparkSession.sessionState.catalog | ||
| val resolver = sparkSession.sessionState.conf.resolver | ||
| val catalogTable = catalog.getTableMetadata(tableName) | ||
| val tablePath = getTableLocation(catalogTable, sparkSession) | ||
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| val hadoopConf = sparkSession.sessionState.newHadoopConf() | ||
| val metaClient = HoodieTableMetaClient.builder().setBasePath(tablePath) | ||
| .setConf(hadoopConf).build() | ||
| val schemaOpt = getTableSqlSchema(metaClient) | ||
| val partitionColumnNamesOpt = metaClient.getTableConfig.getPartitionFields | ||
| if (partitionColumnNamesOpt.isPresent && partitionColumnNamesOpt.get.nonEmpty | ||
| && schemaOpt.isDefined && schemaOpt.nonEmpty) { | ||
|
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| val partitionColumnNames = partitionColumnNamesOpt.get | ||
| val schema = schemaOpt.get | ||
| val allPartitionPaths: Seq[String] = getAllPartitionPaths(sparkSession, catalogTable) | ||
|
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| if (specOpt.isEmpty) { | ||
| allPartitionPaths.map(Row(_)) | ||
| } else { | ||
| val spec = specOpt.get | ||
| allPartitionPaths.filter { partitionPath => | ||
| val part = PartitioningUtils.parsePathFragment(partitionPath) | ||
| spec.forall { case (col, value) => | ||
| PartitionPathEncodeUtils.escapePartitionValue(value) == part.getOrElse(col, null) | ||
| } | ||
| }.map(Row(_)) | ||
| } | ||
| } else { | ||
| Seq.empty[Row] | ||
| } | ||
| } | ||
| } |
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