[HUDI-4359] Support show_fs_path_detail command on Call Produce Command (#6042)
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@@ -73,6 +73,7 @@ object HoodieProcedures {
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mapBuilder.put(MetadataInitProcedure.NAME, MetadataInitProcedure.builder)
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mapBuilder.put(MetadataInitProcedure.NAME, MetadataInitProcedure.builder)
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mapBuilder.put(ShowMetadataStatsProcedure.NAME, ShowMetadataStatsProcedure.builder)
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mapBuilder.put(ShowMetadataStatsProcedure.NAME, ShowMetadataStatsProcedure.builder)
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mapBuilder.put(ValidateMetadataFilesProcedure.NAME, ValidateMetadataFilesProcedure.builder)
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mapBuilder.put(ValidateMetadataFilesProcedure.NAME, ValidateMetadataFilesProcedure.builder)
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mapBuilder.put(ShowFsPathDetailProcedure.NAME, ShowFsPathDetailProcedure.builder)
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mapBuilder.build
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mapBuilder.build
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}
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}
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}
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}
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@@ -0,0 +1,112 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.spark.sql.hudi.command.procedures
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import com.google.common.collect.Lists
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import org.apache.hadoop.fs.{ContentSummary, FileStatus, Path}
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import org.apache.hudi.common.fs.FSUtils
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import org.apache.spark.sql.Row
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import org.apache.spark.sql.types.{DataTypes, Metadata, StructField, StructType}
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import java.text.DecimalFormat
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import java.util.function.Supplier
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class ShowFsPathDetailProcedure extends BaseProcedure with ProcedureBuilder {
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private val PARAMETERS = Array[ProcedureParameter](
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ProcedureParameter.required(0, "path", DataTypes.StringType, None),
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ProcedureParameter.optional(1, "is_sub", DataTypes.BooleanType, false),
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ProcedureParameter.optional(2, "sort", DataTypes.BooleanType, true)
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)
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private val OUTPUT_TYPE = new StructType(Array[StructField](
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StructField("path_num", DataTypes.LongType, nullable = true, Metadata.empty),
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StructField("file_num", DataTypes.LongType, nullable = true, Metadata.empty),
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StructField("storage_size", DataTypes.LongType, nullable = true, Metadata.empty),
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StructField("storage_size(unit)", DataTypes.StringType, nullable = true, Metadata.empty),
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StructField("storage_path", DataTypes.StringType, nullable = true, Metadata.empty),
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StructField("space_consumed", DataTypes.LongType, nullable = true, Metadata.empty),
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StructField("quota", DataTypes.LongType, nullable = true, Metadata.empty),
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StructField("space_quota", DataTypes.LongType, nullable = true, Metadata.empty))
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)
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def parameters: Array[ProcedureParameter] = PARAMETERS
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def outputType: StructType = OUTPUT_TYPE
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override def call(args: ProcedureArgs): Seq[Row] = {
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super.checkArgs(PARAMETERS, args)
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val srcPath = getArgValueOrDefault(args, PARAMETERS(0)).get.asInstanceOf[String]
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val isSub = getArgValueOrDefault(args, PARAMETERS(1)).get.asInstanceOf[Boolean]
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val sort = getArgValueOrDefault(args, PARAMETERS(2)).get.asInstanceOf[Boolean]
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val path: Path = new Path(srcPath)
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val fs = FSUtils.getFs(path, jsc.hadoopConfiguration())
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val status: Array[FileStatus] = if (isSub) fs.listStatus(path) else fs.globStatus(path)
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val rows: java.util.List[Row] = Lists.newArrayList()
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if (status.nonEmpty) {
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for (i <- status.indices) {
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val summary: ContentSummary = fs.getContentSummary(status(i).getPath)
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val storagePath: String = status(i).getPath.toString
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rows.add(Row(summary.getDirectoryCount, summary.getFileCount, summary.getLength,
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getFileSize(summary.getLength), storagePath, summary.getQuota, summary.getSpaceConsumed,
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summary.getSpaceQuota))
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}
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}
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val df = spark.sqlContext.createDataFrame(rows, OUTPUT_TYPE)
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if (sort) {
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df.orderBy(df("storage_size").desc).collect()
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} else {
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df.orderBy(df("file_num").desc).collect()
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}
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}
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def getFileSize(size: Long): String = {
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val GB = 1024 * 1024 * 1024
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val MB = 1024 * 1024
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val KB = 1024
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val df: DecimalFormat = new DecimalFormat("0.00")
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val resultSize = if (size / GB >= 1) {
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df.format(size / GB.toFloat) + "GB"
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} else if (size / MB >= 1) {
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df.format(size / MB.toFloat) + "MB"
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} else if (size / KB >= 1) {
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df.format(size / KB.toFloat) + "KB"
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} else {
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size + "B"
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}
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resultSize
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}
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override def build: Procedure = new ShowFsPathDetailProcedure()
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}
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object ShowFsPathDetailProcedure {
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val NAME = "show_fs_path_detail"
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def builder: Supplier[ProcedureBuilder] = new Supplier[ProcedureBuilder] {
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override def get(): ProcedureBuilder = new ShowFsPathDetailProcedure()
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}
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}
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@@ -0,0 +1,54 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.spark.sql.hudi.procedure
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import org.apache.spark.sql.hudi.HoodieSparkSqlTestBase
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class TestShowFsPathDetailProcedure extends HoodieSparkSqlTestBase {
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test("Test Call show_fs_path_detail Procedure") {
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withTempDir { tmp =>
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val tableName = generateTableName
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val tablePath = tmp.getCanonicalPath + "/" + tableName
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// create table
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spark.sql(
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s"""
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|create table $tableName (
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| id int,
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| name string,
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| price double,
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| ts long
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|) using hudi
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| location '$tablePath'
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| tblproperties (
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| primaryKey = 'id',
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| preCombineField = 'ts'
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| )
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""".stripMargin)
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// insert data to table
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spark.sql(s"insert into $tableName select 1, 'a1', 10, 1000")
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spark.sql(s"insert into $tableName select 2, 'a2', 20, 1500")
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spark.sql(s"insert into $tableName select 3, 'a3', 30, 2000")
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val result = spark.sql(s"""call show_fs_path_detail(path => '$tablePath')""").collect()
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assertResult(1) {
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result.length
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}
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}
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}
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}
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