vinishjail97 commented on code in PR #935: URL: https://github.com/apache/incubator-xtable/pull/935#discussion_r4161255151
########## xtable-core/src/main/java/org/apache/xtable/index/HudiBackedIcebergSecondaryIndex.java: ########## @@ -0,0 +1,201 @@ +/* + * 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.xtable.index; + +import static org.apache.hudi.metadata.HoodieTableMetadataUtil.PARTITION_NAME_SECONDARY_INDEX_PREFIX; + +import java.util.Collections; +import java.util.Properties; + +import lombok.extern.log4j.Log4j2; + +import org.apache.hadoop.conf.Configuration; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.rdd.RDD; +import org.apache.spark.sql.SparkSession; +import org.apache.spark.sql.catalyst.InternalRow; + +import org.apache.hudi.client.common.HoodieSparkEngineContext; +import org.apache.hudi.common.config.HoodieMetadataConfig; +import org.apache.hudi.common.data.HoodieData; +import org.apache.hudi.common.data.HoodiePairData; +import org.apache.hudi.common.table.HoodieTableMetaClient; +import org.apache.hudi.common.table.HoodieTableVersion; +import org.apache.hudi.data.HoodieJavaRDD; +import org.apache.hudi.metadata.HoodieBackedTableMetadata; +import org.apache.hudi.metadata.HoodieTableMetadataUtil; +import org.apache.hudi.storage.HoodieStorage; +import org.apache.hudi.storage.hadoop.HoodieHadoopStorage; + +import org.apache.iceberg.PartitionSpec; +import org.apache.iceberg.Partitioning; +import org.apache.iceberg.Table; +import org.apache.iceberg.types.Types; + +import org.apache.xtable.catalog.TableFormatUtils; +import org.apache.xtable.conversion.ConversionConfig; +import org.apache.xtable.conversion.ConversionController; +import org.apache.xtable.conversion.SourceTable; +import org.apache.xtable.conversion.TargetTable; +import org.apache.xtable.hudi.HudiTargetConfig; +import org.apache.xtable.iceberg.IcebergConversionSourceProvider; +import org.apache.xtable.model.storage.TableFormat; + +/** + * Secondary index for an Iceberg table backed by the Hudi metadata table. The index is built by + * syncing the Iceberg table to Hudi with the record index and a secondary index enabled; the Hudi + * metadata lives under {@code <data location>/.hoodie/metadata}. Because the Iceberg data files + * carry no Hudi record keys, the record key of a row is {@code <file path relative to the data + * location>_<row position>}, which a lookup resolves back to a file path and row position. + */ +@Log4j2 +public class HudiBackedIcebergSecondaryIndex implements Index<Table> { + private final String tableLocation; + private final String dataPath; + private final Properties targetTableProperties; + private final JavaSparkContext javaSparkContext; + private final HoodieSparkEngineContext engineContext; + + /** + * @param icebergTable the table to index + * @param sparkSession the Spark session used to build and query the index + * @param targetTableProperties additional {@link HudiTargetConfig} properties for the sync, for + * example the record index file group counts + */ + public HudiBackedIcebergSecondaryIndex( + Table icebergTable, SparkSession sparkSession, Properties targetTableProperties) { + this.tableLocation = icebergTable.location(); + this.dataPath = + TableFormatUtils.getTableDataLocation( + TableFormat.ICEBERG, tableLocation, icebergTable.properties()); + this.targetTableProperties = targetTableProperties; + this.javaSparkContext = JavaSparkContext.fromSparkContext(sparkSession.sparkContext()); + this.engineContext = new HoodieSparkEngineContext(javaSparkContext); + } + + @Override + public boolean doesIndexExist(String columnName) { + return HoodieTableMetadataUtil.metadataPartitionExists( + dataPath, engineContext, PARTITION_NAME_SECONDARY_INDEX_PREFIX + columnName); + } + + @Override + public void syncIndex(Table icebergTable, String columnName) { + Configuration configuration = javaSparkContext.hadoopConfiguration(); + IcebergConversionSourceProvider sourceProvider = new IcebergConversionSourceProvider(); + sourceProvider.init(configuration); + new ConversionController(configuration) + .sync(getConversionConfig(icebergTable, columnName), sourceProvider); + log.info("Synced secondary index for column {} of table {}", columnName, tableLocation); + } + + private ConversionConfig getConversionConfig(Table icebergTable, String columnName) { + SourceTable sourceTable = + SourceTable.builder() + .name(icebergTable.name()) + .basePath(tableLocation) + .dataPath(dataPath) + .formatName(TableFormat.ICEBERG) + .build(); + Properties mergedProperties = new Properties(); + mergedProperties.putAll(targetTableProperties); + mergedProperties.setProperty(HudiTargetConfig.SECONDARY_INDEX_COLUMN, columnName); + mergedProperties.setProperty( + HudiTargetConfig.EXECUTION_ENGINE, HudiTargetConfig.EXECUTION_ENGINE_SPARK); + // the secondary index is only available from Hudi table version 8 onwards + mergedProperties.setProperty( + HudiTargetConfig.HUDI_TABLE_VERSION, String.valueOf(HoodieTableVersion.NINE.versionCode())); + TargetTable targetTable = + TargetTable.builder() + .name(icebergTable.name()) + .basePath(dataPath) + .formatName(TableFormat.HUDI) + .additionalProperties(mergedProperties) + .build(); + return ConversionConfig.builder() + .sourceTable(sourceTable) + .targetTables(Collections.singletonList(targetTable)) + .build(); + } + + @Override + public RDD<IndexLookupResult> lookup(Table icebergTable, RDD<String> keys, String columnName) { Review Comment: Can this be a Dataframe instead? -- This is an automated message from the Apache Git Service. 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