hililiwei commented on code in PR #6584: URL: https://github.com/apache/iceberg/pull/6584#discussion_r1089903225
########## flink/v1.16/flink/src/main/java/org/apache/iceberg/flink/source/reader/AvroGenericRecordReaderFunction.java: ########## @@ -0,0 +1,98 @@ +/* + * 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.iceberg.flink.source.reader; + +import org.apache.avro.generic.GenericRecord; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.configuration.ReadableConfig; +import org.apache.iceberg.Schema; +import org.apache.iceberg.Table; +import org.apache.iceberg.encryption.EncryptionManager; +import org.apache.iceberg.flink.source.AvroGenericRecordFileScanTaskReader; +import org.apache.iceberg.flink.source.DataIterator; +import org.apache.iceberg.flink.source.RowDataFileScanTaskReader; +import org.apache.iceberg.flink.source.RowDataToAvroGenericRecordConverter; +import org.apache.iceberg.flink.source.split.IcebergSourceSplit; +import org.apache.iceberg.io.FileIO; +import org.apache.iceberg.relocated.com.google.common.base.Preconditions; + +/** Read Iceberg rows as {@link GenericRecord}. */ +public class AvroGenericRecordReaderFunction extends DataIteratorReaderFunction<GenericRecord> { + private final String tableName; + private final Schema readSchema; + private final FileIO io; + private final EncryptionManager encryption; + private final RowDataFileScanTaskReader rowDataReader; + + private transient RowDataToAvroGenericRecordConverter converter; + + /** + * Create a reader function without projection and name mapping. Column name is case-insensitive. + */ + public static AvroGenericRecordReaderFunction fromTable(Table table) { + return new AvroGenericRecordReaderFunction( + table.name(), + new Configuration(), + table.schema(), + null, + null, + false, Review Comment: > For the metadata table, the most important use-case is when we read the metadata on the job initialisation and change the job based on the metadata read. Do we have use-case when we want to stream the results of the metadata query? Like when new files added to the table, or new snapshot created for the table? We have security, monitoring, and so on scenarios where these capabilities need to be used. Currently we implement this using `iceberg listeners`. ########## flink/v1.16/flink/src/main/java/org/apache/iceberg/flink/source/reader/AvroGenericRecordReaderFunction.java: ########## @@ -0,0 +1,98 @@ +/* + * 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.iceberg.flink.source.reader; + +import org.apache.avro.generic.GenericRecord; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.configuration.ReadableConfig; +import org.apache.iceberg.Schema; +import org.apache.iceberg.Table; +import org.apache.iceberg.encryption.EncryptionManager; +import org.apache.iceberg.flink.source.AvroGenericRecordFileScanTaskReader; +import org.apache.iceberg.flink.source.DataIterator; +import org.apache.iceberg.flink.source.RowDataFileScanTaskReader; +import org.apache.iceberg.flink.source.RowDataToAvroGenericRecordConverter; +import org.apache.iceberg.flink.source.split.IcebergSourceSplit; +import org.apache.iceberg.io.FileIO; +import org.apache.iceberg.relocated.com.google.common.base.Preconditions; + +/** Read Iceberg rows as {@link GenericRecord}. */ +public class AvroGenericRecordReaderFunction extends DataIteratorReaderFunction<GenericRecord> { + private final String tableName; + private final Schema readSchema; + private final FileIO io; + private final EncryptionManager encryption; + private final RowDataFileScanTaskReader rowDataReader; + + private transient RowDataToAvroGenericRecordConverter converter; + + /** + * Create a reader function without projection and name mapping. Column name is case-insensitive. + */ + public static AvroGenericRecordReaderFunction fromTable(Table table) { + return new AvroGenericRecordReaderFunction( + table.name(), + new Configuration(), + table.schema(), + null, + null, + false, Review Comment: > For the metadata table, the most important use-case is when we read the metadata on the job initialisation and change the job based on the metadata read. Do we have use-case when we want to stream the results of the metadata query? Like when new files added to the table, or new snapshot created for the table? We have security, monitoring, and so on scenarios where these capabilities need to be used. Currently we implement this by `iceberg listeners`. -- 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. 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