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A table format for huge analytic datasets
/*
* 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;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
import com.google.common.collect.Sets;
import java.util.Collection;
import org.apache.iceberg.avro.Avro;
import org.apache.iceberg.expressions.Expression;
import org.apache.iceberg.expressions.ResidualEvaluator;
import org.apache.iceberg.io.CloseableIterable;
import org.apache.iceberg.io.FileIO;
import org.apache.iceberg.types.TypeUtil;
/**
* A {@link Table} implementation that exposes a table's data files as rows.
*/
public class DataFilesTable extends BaseMetadataTable {
private final TableOperations ops;
private final Table table;
public DataFilesTable(TableOperations ops, Table table) {
this.ops = ops;
this.table = table;
}
@Override
Table table() {
return table;
}
@Override
String metadataTableName() {
return "files";
}
@Override
public TableScan newScan() {
return new FilesTableScan(ops, table, schema());
}
@Override
public Schema schema() {
Schema schema = new Schema(DataFile.getType(table.spec().partitionType()).fields());
if (table.spec().fields().size() < 1) {
// avoid returning an empty struct, which is not always supported. instead, drop the partition field (id 102)
return TypeUtil.selectNot(schema, Sets.newHashSet(102));
} else {
return schema;
}
}
@Override
public String location() {
return table.currentSnapshot().manifestListLocation();
}
public static class FilesTableScan extends BaseTableScan {
private static final long TARGET_SPLIT_SIZE = 32 * 1024 * 1024; // 32 MB
private final Schema fileSchema;
FilesTableScan(TableOperations ops, Table table, Schema fileSchema) {
super(ops, table, fileSchema);
this.fileSchema = fileSchema;
}
private FilesTableScan(
TableOperations ops, Table table, Long snapshotId, Schema schema, Expression rowFilter,
boolean caseSensitive, boolean colStats, Collection selectedColumns, Schema fileSchema,
ImmutableMap options) {
super(ops, table, snapshotId, schema, rowFilter, caseSensitive, colStats, selectedColumns, options);
this.fileSchema = fileSchema;
}
@Override
protected TableScan newRefinedScan(
TableOperations ops, Table table, Long snapshotId, Schema schema, Expression rowFilter,
boolean caseSensitive, boolean colStats, Collection selectedColumns,
ImmutableMap options) {
return new FilesTableScan(
ops, table, snapshotId, schema, rowFilter, caseSensitive, colStats, selectedColumns, fileSchema, options);
}
@Override
protected long targetSplitSize(TableOperations ops) {
return TARGET_SPLIT_SIZE;
}
@Override
protected CloseableIterable planFiles(
TableOperations ops, Snapshot snapshot, Expression rowFilter, boolean caseSensitive, boolean colStats) {
CloseableIterable manifests = Avro
.read(ops.io().newInputFile(snapshot.manifestListLocation()))
.rename("manifest_file", GenericManifestFile.class.getName())
.rename("partitions", GenericPartitionFieldSummary.class.getName())
// 508 is the id used for the partition field, and r508 is the record name created for it in Avro schemas
.rename("r508", GenericPartitionFieldSummary.class.getName())
.project(ManifestFile.schema())
.reuseContainers(false)
.build();
String schemaString = SchemaParser.toJson(schema());
String specString = PartitionSpecParser.toJson(PartitionSpec.unpartitioned());
// Data tasks produce the table schema, not the projection schema and projection is done by processing engines.
// This data task needs to use the table schema, which may not include a partition schema to avoid having an
// empty struct in the schema for unpartitioned tables. Some engines, like Spark, can't handle empty structs in
// all cases.
return CloseableIterable.transform(manifests, manifest ->
new ManifestReadTask(ops.io(), new BaseFileScanTask(
DataFiles.fromManifest(manifest), schemaString, specString, ResidualEvaluator.unpartitioned(rowFilter)),
fileSchema));
}
}
private static class ManifestReadTask implements DataTask {
private final FileIO io;
private final FileScanTask manifestTask;
private final Schema schema;
private ManifestReadTask(FileIO io, FileScanTask manifestTask, Schema schema) {
this.io = io;
this.manifestTask = manifestTask;
this.schema = schema;
}
@Override
public CloseableIterable rows() {
return CloseableIterable.transform(
ManifestReader.read(io.newInputFile(manifestTask.file().path().toString())).project(schema),
file -> (GenericDataFile) file);
}
@Override
public DataFile file() {
return manifestTask.file();
}
@Override
public PartitionSpec spec() {
return manifestTask.spec();
}
@Override
public long start() {
return 0;
}
@Override
public long length() {
return manifestTask.length();
}
@Override
public Expression residual() {
return manifestTask.residual();
}
@Override
public Iterable split(long splitSize) {
return ImmutableList.of(this); // don't split
}
}
}
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