leonardBang commented on a change in pull request #11574: 
[FLINK-16859][table-runtime] Introduce file system table factory
URL: https://github.com/apache/flink/pull/11574#discussion_r402748927
 
 

 ##########
 File path: 
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/filesystem/FileSystemTableSink.java
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+/*
+ * 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.table.filesystem;
+
+import org.apache.flink.api.common.io.OutputFormat;
+import org.apache.flink.api.common.serialization.BulkWriter;
+import org.apache.flink.api.common.serialization.Encoder;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.core.fs.FSDataOutputStream;
+import org.apache.flink.core.fs.FileSystem;
+import org.apache.flink.core.fs.Path;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.datastream.DataStreamSink;
+import org.apache.flink.table.api.TableException;
+import org.apache.flink.table.api.TableSchema;
+import org.apache.flink.table.dataformat.BaseRow;
+import org.apache.flink.table.sinks.AppendStreamTableSink;
+import org.apache.flink.table.sinks.OverwritableTableSink;
+import org.apache.flink.table.sinks.PartitionableTableSink;
+import org.apache.flink.table.sinks.TableSink;
+import org.apache.flink.table.types.DataType;
+import org.apache.flink.util.Preconditions;
+
+import java.io.IOException;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Optional;
+
+import static 
org.apache.flink.table.filesystem.FileSystemTableFactory.createFormatFactory;
+
+/**
+ * File system {@link TableSink}.
+ */
+public class FileSystemTableSink implements
+               AppendStreamTableSink<BaseRow>,
+               PartitionableTableSink,
+               OverwritableTableSink {
+
+       private final TableSchema schema;
+       private final List<String> partitionKeys;
+       private final Path path;
+       private final String defaultPartName;
+       private final Map<String, String> formatProperties;
+
+       private boolean overwrite = false;
+       private boolean dynamicGrouping = false;
+       private LinkedHashMap<String, String> staticPartitions = new 
LinkedHashMap<>();
+
+       /**
+        * Construct a file system table sink.
+        *
+        * @param schema schema of the table.
+        * @param path directory path of the file system table.
+        * @param partitionKeys partition keys of the table.
+        * @param defaultPartName The default partition name in case the 
dynamic partition column value
+        *                        is null/empty string.
+        * @param formatProperties format properties.
+        */
+       public FileSystemTableSink(
+                       TableSchema schema,
+                       Path path,
+                       List<String> partitionKeys,
+                       String defaultPartName,
+                       Map<String, String> formatProperties) {
+               this.schema = schema;
+               this.path = path;
+               this.defaultPartName = defaultPartName;
+               this.formatProperties = formatProperties;
+               this.partitionKeys = partitionKeys;
+       }
+
+       @Override
+       public final DataStreamSink<BaseRow> 
consumeDataStream(DataStream<BaseRow> dataStream) {
+               RowDataPartitionComputer computer = new 
RowDataPartitionComputer(
+                               defaultPartName,
+                               schema.getFieldNames(),
+                               schema.getFieldDataTypes(),
+                               partitionKeys.toArray(new String[0]));
+
+               FileSystemOutputFormat.Builder<BaseRow> builder = new 
FileSystemOutputFormat.Builder<>();
+               builder.setPartitionComputer(computer);
+               builder.setDynamicGrouped(dynamicGrouping);
+               builder.setPartitionColumns(partitionKeys.toArray(new 
String[0]));
+               builder.setFormatFactory(createOutputFormatFactory());
+               builder.setMetaStoreFactory(createTableMetaStoreFactory(path));
+               builder.setOverwrite(overwrite);
+               builder.setStaticPartitions(staticPartitions);
+               builder.setTempPath(toStagingPath());
+               return dataStream.writeUsingOutputFormat(builder.build())
+                               .setParallelism(dataStream.getParallelism());
+       }
+
+       private Path toStagingPath() {
+               Path stagingDir = new Path(path, ".staging_" + 
System.currentTimeMillis());
+               try {
+                       FileSystem fs = stagingDir.getFileSystem();
+                       Preconditions.checkState(
+                                       fs.exists(stagingDir) || 
fs.mkdirs(stagingDir),
+                                       "Failed to create staging dir " + 
stagingDir);
+                       return stagingDir;
+               } catch (IOException e) {
+                       throw new RuntimeException(e);
+               }
+       }
+
+       private OutputFormatFactory<BaseRow> createOutputFormatFactory() {
+               FileSystemFormatFactory formatFactory = 
createFormatFactory(formatProperties);
+               FileSystemFormatFactory.WriterContext context = new 
FileSystemFormatFactory.WriterContext() {
+
+                       @Override
+                       public TableSchema getSchema() {
+                               return schema;
+                       }
+
+                       @Override
+                       public Map<String, String> getFormatProperties() {
+                               return formatProperties;
+                       }
+
+                       @Override
+                       public List<String> getPartitionKeys() {
+                               return partitionKeys;
+                       }
+               };
+
+               Optional<Encoder<BaseRow>> encoder = 
formatFactory.createEncoder(context);
+               Optional<BulkWriter.Factory<BaseRow>> bulk = 
formatFactory.createBulkWriterFactory(context);
+
+               if (!encoder.isPresent() && !bulk.isPresent()) {
+                       throw new TableException(
+                                       formatFactory + " format should 
implement at least one Encoder or BulkWriter");
+               }
+               return encoder
+                               .<OutputFormatFactory<BaseRow>>map(en -> path 
-> createEncoderOutputFormat(en, path))
+                               .orElseGet(() -> {
+                                       // Optional is not serializable.
+                                       BulkWriter.Factory<BaseRow> bulkWriter 
= bulk.get();
 
 Review comment:
   how about name to `bulkWriterFactory`?

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