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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.iceberg.flink.sink;
import java.util.List;
import java.util.Map;
import java.util.function.Supplier;
import org.apache.flink.table.data.RowData;
import org.apache.flink.table.types.logical.RowType;
import org.apache.iceberg.FileFormat;
import org.apache.iceberg.PartitionKey;
import org.apache.iceberg.PartitionSpec;
import org.apache.iceberg.Schema;
import org.apache.iceberg.Table;
import org.apache.iceberg.flink.RowDataWrapper;
import org.apache.iceberg.io.FileAppenderFactory;
import org.apache.iceberg.io.FileIO;
import org.apache.iceberg.io.OutputFileFactory;
import org.apache.iceberg.io.PartitionedFanoutWriter;
import org.apache.iceberg.io.TaskWriter;
import org.apache.iceberg.io.UnpartitionedWriter;
import org.apache.iceberg.relocated.com.google.common.base.Preconditions;
import org.apache.iceberg.relocated.com.google.common.collect.Sets;
import org.apache.iceberg.types.TypeUtil;
import org.apache.iceberg.util.ArrayUtil;
import org.apache.iceberg.util.SerializableSupplier;
public class RowDataTaskWriterFactory implements TaskWriterFactory {
private final Supplier
tableSupplier;
private final Schema schema;
private final RowType flinkSchema;
private final PartitionSpec spec;
private final long targetFileSizeBytes;
private final FileFormat format;
private final List equalityFieldIds;
private final boolean upsert;
private final FileAppenderFactory appenderFactory;
private transient OutputFileFactory outputFileFactory;
public RowDataTaskWriterFactory(
Table table,
RowType flinkSchema,
long targetFileSizeBytes,
FileFormat format,
Map writeProperties,
List equalityFieldIds,
boolean upsert) {
this(
() -> table,
flinkSchema,
targetFileSizeBytes,
format,
writeProperties,
equalityFieldIds,
upsert);
}
public RowDataTaskWriterFactory(
SerializableSupplier
tableSupplier,
RowType flinkSchema,
long targetFileSizeBytes,
FileFormat format,
Map writeProperties,
List equalityFieldIds,
boolean upsert) {
this.tableSupplier = tableSupplier;
Table table;
if (tableSupplier instanceof CachingTableSupplier) {
// rely on the initial table metadata for schema, etc., until schema evolution is supported
table = ((CachingTableSupplier) tableSupplier).initialTable();
} else {
table = tableSupplier.get();
}
this.schema = table.schema();
this.flinkSchema = flinkSchema;
this.spec = table.spec();
this.targetFileSizeBytes = targetFileSizeBytes;
this.format = format;
this.equalityFieldIds = equalityFieldIds;
this.upsert = upsert;
if (equalityFieldIds == null || equalityFieldIds.isEmpty()) {
this.appenderFactory =
new FlinkAppenderFactory(
table, schema, flinkSchema, writeProperties, spec, null, null, null);
} else if (upsert) {
// In upsert mode, only the new row is emitted using INSERT row kind. Therefore, any column of
// the inserted row
// may differ from the deleted row other than the primary key fields, and the delete file must
// contain values
// that are correct for the deleted row. Therefore, only write the equality delete fields.
this.appenderFactory =
new FlinkAppenderFactory(
table,
schema,
flinkSchema,
writeProperties,
spec,
ArrayUtil.toIntArray(equalityFieldIds),
TypeUtil.select(schema, Sets.newHashSet(equalityFieldIds)),
null);
} else {
this.appenderFactory =
new FlinkAppenderFactory(
table,
schema,
flinkSchema,
writeProperties,
spec,
ArrayUtil.toIntArray(equalityFieldIds),
schema,
null);
}
}
@Override
public void initialize(int taskId, int attemptId) {
Table table;
if (tableSupplier instanceof CachingTableSupplier) {
// rely on the initial table metadata for schema, etc., until schema evolution is supported
table = ((CachingTableSupplier) tableSupplier).initialTable();
} else {
table = tableSupplier.get();
}
refreshTable();
this.outputFileFactory =
OutputFileFactory.builderFor(table, taskId, attemptId)
.format(format)
.ioSupplier(() -> tableSupplier.get().io())
.build();
}
@Override
public TaskWriter create() {
Preconditions.checkNotNull(
outputFileFactory,
"The outputFileFactory shouldn't be null if we have invoked the initialize().");
refreshTable();
if (equalityFieldIds == null || equalityFieldIds.isEmpty()) {
// Initialize a task writer to write INSERT only.
if (spec.isUnpartitioned()) {
return new UnpartitionedWriter<>(
spec,
format,
appenderFactory,
outputFileFactory,
tableSupplier.get().io(),
targetFileSizeBytes);
} else {
return new RowDataPartitionedFanoutWriter(
spec,
format,
appenderFactory,
outputFileFactory,
tableSupplier.get().io(),
targetFileSizeBytes,
schema,
flinkSchema);
}
} else {
// Initialize a task writer to write both INSERT and equality DELETE.
if (spec.isUnpartitioned()) {
return new UnpartitionedDeltaWriter(
spec,
format,
appenderFactory,
outputFileFactory,
tableSupplier.get().io(),
targetFileSizeBytes,
schema,
flinkSchema,
equalityFieldIds,
upsert);
} else {
return new PartitionedDeltaWriter(
spec,
format,
appenderFactory,
outputFileFactory,
tableSupplier.get().io(),
targetFileSizeBytes,
schema,
flinkSchema,
equalityFieldIds,
upsert);
}
}
}
void refreshTable() {
if (tableSupplier instanceof CachingTableSupplier) {
((CachingTableSupplier) tableSupplier).refreshTable();
}
}
private static class RowDataPartitionedFanoutWriter extends PartitionedFanoutWriter {
private final PartitionKey partitionKey;
private final RowDataWrapper rowDataWrapper;
RowDataPartitionedFanoutWriter(
PartitionSpec spec,
FileFormat format,
FileAppenderFactory appenderFactory,
OutputFileFactory fileFactory,
FileIO io,
long targetFileSize,
Schema schema,
RowType flinkSchema) {
super(spec, format, appenderFactory, fileFactory, io, targetFileSize);
this.partitionKey = new PartitionKey(spec, schema);
this.rowDataWrapper = new RowDataWrapper(flinkSchema, schema.asStruct());
}
@Override
protected PartitionKey partition(RowData row) {
partitionKey.partition(rowDataWrapper.wrap(row));
return partitionKey;
}
}
}
