zjuwangg commented on a change in pull request #8809: [FLIN-12663]Implement HiveTableSource to read Hive tables URL: https://github.com/apache/flink/pull/8809#discussion_r296589730
########## File path: flink-connectors/flink-connector-hive/src/main/java/org/apache/flink/batch/connectors/hive/HiveTableSource.java ########## @@ -0,0 +1,154 @@ +/* + * 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.flink.batch.connectors.hive; + +import org.apache.flink.api.common.io.InputFormat; +import org.apache.flink.api.java.typeutils.RowTypeInfo; +import org.apache.flink.table.api.DataTypes; +import org.apache.flink.table.api.TableSchema; +import org.apache.flink.table.catalog.hive.client.HiveMetastoreClientFactory; +import org.apache.flink.table.catalog.hive.client.HiveMetastoreClientWrapper; +import org.apache.flink.table.catalog.hive.client.HiveShimLoader; +import org.apache.flink.table.catalog.hive.descriptors.HiveCatalogValidator; +import org.apache.flink.table.sources.InputFormatTableSource; +import org.apache.flink.table.types.DataType; +import org.apache.flink.table.types.logical.LogicalTypeRoot; +import org.apache.flink.types.Row; + +import org.apache.hadoop.hive.conf.HiveConf; +import org.apache.hadoop.hive.metastore.api.StorageDescriptor; +import org.apache.hadoop.mapred.JobConf; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.sql.Date; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; +import java.util.Map; + +/** + * HiveTableSource used in tableApi/Sql environment to read data from hive table. + */ +public class HiveTableSource extends InputFormatTableSource<Row> { + + private static Logger logger = LoggerFactory.getLogger(HiveTableSource.class); + + private final TableSchema tableSchema; + private final JobConf jobConf; + private final String dbName; + private final String tableName; + private final Boolean isPartitionTable; + private final String[] partitionColNames; + private List<HiveTablePartition> allPartitions; + private String hiveVersion; + + public HiveTableSource(TableSchema tableSchema, + JobConf jobConf, + String dbName, + String tableName, + String[] partitionColNames) { + this.tableSchema = tableSchema; + this.jobConf = jobConf; + this.dbName = dbName; + this.tableName = tableName; + this.isPartitionTable = (null != partitionColNames && partitionColNames.length != 0); + this.partitionColNames = partitionColNames; + this.hiveVersion = jobConf.get(HiveCatalogValidator.CATALOG_HIVE_VERSION, HiveShimLoader.getHiveVersion()); + } + + @Override + public InputFormat getInputFormat() { + initAllPartitions(); + return new HiveTableInputFormat(jobConf, isPartitionTable, partitionColNames, allPartitions, new RowTypeInfo(tableSchema.getFieldTypes(), tableSchema.getFieldNames())); + } + + @Override + public TableSchema getTableSchema() { + return tableSchema; + } + + @Override + public DataType getProducedDataType() { + DataTypes.Field[] fields = new DataTypes.Field[tableSchema.getFieldCount()]; + for (int i = 0; i < fields.length; i++) { + fields[i] = DataTypes.FIELD(tableSchema.getFieldName(i).get(), tableSchema.getFieldDataType(i).get()); + } + return DataTypes.ROW(fields); + } + + private void initAllPartitions() { + allPartitions = new ArrayList<>(); + // Please note that the following directly accesses Hive metastore, which is only a temporary workaround. + // Ideally, we need to go thru Catalog API to get all info we need here, which requires some major + // refactoring. We will postpone this until we merge Blink to Flink. + HiveMetastoreClientWrapper client = HiveMetastoreClientFactory.create(new HiveConf(jobConf, HiveConf.class), hiveVersion); + try { + if (isPartitionTable) { + List<org.apache.hadoop.hive.metastore.api.Partition> partitions = + client.listPartitions(dbName, tableName, (short) -1); + for (org.apache.hadoop.hive.metastore.api.Partition partition : partitions) { + StorageDescriptor sd = partition.getSd(); + Map<String, Object> partitionColValues = new HashMap<>(); + for (int i = 0; i < partitionColNames.length; i++) { + String partitionValue = partition.getValues().get(i); + DataType type = tableSchema.getFieldDataType(partitionColNames[i]).get(); + Object partitionObject = restoreObjectInfoFromType(partitionValue, type); + partitionColValues.put(partitionColNames[i], partitionObject); + } + allPartitions.add(new HiveTablePartition(sd, partitionColValues)); + } + } else { + allPartitions.add(new HiveTablePartition(client.getTable(dbName, tableName).getSd(), null)); + } + } catch (Exception e) { + logger.error("Failed to collect all partitions from hive metaStore", e); + throw new FlinkHiveException("Failed to collect all partitions from hive metaStore", e); + } + } + + private Object restoreObjectInfoFromType(String valStr, DataType type) { + LogicalTypeRoot typeRoot = type.getLogicalType().getTypeRoot(); + switch (typeRoot) { Review comment: it's not a complete list ofr partition key types that Hive support, we may need add more later. ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
