majian1998 commented on code in PR #10120: URL: https://github.com/apache/hudi/pull/10120#discussion_r1395610135
########## hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/hudi/command/procedures/ShowMetadataTableColumnStatsProcedure.scala: ########## @@ -0,0 +1,105 @@ +/* + * 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.procedures + +import org.apache.avro.generic.IndexedRecord +import org.apache.hudi.avro.model.{BooleanWrapper, BytesWrapper, DateWrapper, DecimalWrapper, DoubleWrapper, FloatWrapper, HoodieMetadataColumnStats, IntWrapper, LongWrapper, StringWrapper, TimeMicrosWrapper, TimestampMicrosWrapper} +import org.apache.hudi.common.config.HoodieMetadataConfig +import org.apache.hudi.common.data.HoodieData +import org.apache.hudi.common.table.{HoodieTableMetaClient, TableSchemaResolver} +import org.apache.hudi.{AvroConversionUtils, ColumnStatsIndexSupport} +import org.apache.spark.internal.Logging +import org.apache.spark.sql.Row +import org.apache.spark.sql.types.{DataTypes, Metadata, StructField, StructType} + +import java.util +import java.util.function.Supplier + + +class ShowMetadataTableColumnStatsProcedure extends BaseProcedure with ProcedureBuilder with Logging { + private val PARAMETERS = Array[ProcedureParameter]( + ProcedureParameter.required(0, "table", DataTypes.StringType), + ProcedureParameter.optional(1, "targetColumns", DataTypes.StringType) + ) + + private val OUTPUT_TYPE = new StructType(Array[StructField]( + StructField("file_name", DataTypes.StringType, nullable = true, Metadata.empty), + StructField("column_name", DataTypes.StringType, nullable = true, Metadata.empty), + StructField("min_value", DataTypes.StringType, nullable = true, Metadata.empty), + StructField("max_value", DataTypes.StringType, nullable = true, Metadata.empty), + StructField("null_num", DataTypes.LongType, nullable = true, Metadata.empty) + )) + + def parameters: Array[ProcedureParameter] = PARAMETERS + + def outputType: StructType = OUTPUT_TYPE + + override def call(args: ProcedureArgs): Seq[Row] = { + super.checkArgs(PARAMETERS, args) + + val table = getArgValueOrDefault(args, PARAMETERS(0)) + val targetColumns = getArgValueOrDefault(args, PARAMETERS(1)).getOrElse("").toString + val targetColumnsSeq = targetColumns.split(",").toSeq + val basePath = getBasePath(table) + val metadataConfig = HoodieMetadataConfig.newBuilder + .enable(true) + .build + val metaClient = HoodieTableMetaClient.builder.setConf(jsc.hadoopConfiguration()).setBasePath(basePath).build + val schemaUtil = new TableSchemaResolver(metaClient) + var schema = AvroConversionUtils.convertAvroSchemaToStructType(schemaUtil.getTableAvroSchema) + val columnStatsIndex = new ColumnStatsIndexSupport(spark, schema, metadataConfig, metaClient) + val colStatsRecords: HoodieData[HoodieMetadataColumnStats] = columnStatsIndex.loadColumnStatsIndexRecords(targetColumnsSeq, false) + + val rows = new util.ArrayList[Row] + colStatsRecords.collectAsList() + .stream() + .forEach(c => { + rows.add(Row(c.getFileName, c.getColumnName, getColumnStatsValue(c.getMinValue), getColumnStatsValue(c.getMaxValue), c.getNullCount.longValue())) + }) + rows.stream().toArray().map(r => r.asInstanceOf[Row]).toList + } + + def getColumnStatsValue(stats_value: Any): String = { + stats_value match { + case _: IntWrapper | + _: BooleanWrapper | + _: BytesWrapper | Review Comment: Should we consider discontinuing support for or implementing alternative methods to print the contents similar to `"java.nio.HeapByteBuffer[pos=0 lim=11 cap=11]" ` in the `min_value` and `max_value` for `Binary` and `Decimal` types? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
