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A table format for huge analytic datasets
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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
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package org.apache.iceberg.spark.source;
import java.util.Map;
import java.util.Set;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import org.apache.iceberg.ContentFile;
import org.apache.iceberg.PositionDeletesScanTask;
import org.apache.iceberg.ScanTaskGroup;
import org.apache.iceberg.Schema;
import org.apache.iceberg.Table;
import org.apache.iceberg.expressions.Expression;
import org.apache.iceberg.expressions.ExpressionUtil;
import org.apache.iceberg.io.CloseableIterator;
import org.apache.iceberg.io.InputFile;
import org.apache.iceberg.relocated.com.google.common.base.Preconditions;
import org.apache.iceberg.relocated.com.google.common.primitives.Ints;
import org.apache.iceberg.util.SnapshotUtil;
import org.apache.spark.rdd.InputFileBlockHolder;
import org.apache.spark.sql.catalyst.InternalRow;
import org.apache.spark.sql.connector.read.PartitionReader;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
class PositionDeletesRowReader extends BaseRowReader
implements PartitionReader {
private static final Logger LOG = LoggerFactory.getLogger(PositionDeletesRowReader.class);
PositionDeletesRowReader(SparkInputPartition partition) {
this(
partition.table(),
partition.taskGroup(),
SnapshotUtil.schemaFor(partition.table(), partition.branch()),
partition.expectedSchema(),
partition.isCaseSensitive());
}
PositionDeletesRowReader(
Table table,
ScanTaskGroup taskGroup,
Schema tableSchema,
Schema expectedSchema,
boolean caseSensitive) {
super(table, taskGroup, tableSchema, expectedSchema, caseSensitive);
int numSplits = taskGroup.tasks().size();
LOG.debug("Reading {} position delete file split(s) for table {}", numSplits, table.name());
}
@Override
protected Stream> referencedFiles(PositionDeletesScanTask task) {
return Stream.of(task.file());
}
@Override
protected CloseableIterator open(PositionDeletesScanTask task) {
String filePath = task.file().path().toString();
LOG.debug("Opening position delete file {}", filePath);
// update the current file for Spark's filename() function
InputFileBlockHolder.set(filePath, task.start(), task.length());
InputFile inputFile = getInputFile(task.file().path().toString());
Preconditions.checkNotNull(inputFile, "Could not find InputFile associated with %s", task);
// select out constant fields when pushing down filter to row reader
Map idToConstant = constantsMap(task, expectedSchema());
Set nonConstantFieldIds = nonConstantFieldIds(idToConstant);
Expression residualWithoutConstants =
ExpressionUtil.extractByIdInclusive(
task.residual(), expectedSchema(), caseSensitive(), Ints.toArray(nonConstantFieldIds));
return newIterable(
inputFile,
task.file().format(),
task.start(),
task.length(),
residualWithoutConstants,
expectedSchema(),
idToConstant)
.iterator();
}
private Set nonConstantFieldIds(Map idToConstant) {
Set fields = expectedSchema().idToName().keySet();
return fields.stream()
.filter(id -> expectedSchema().findField(id).type().isPrimitiveType())
.filter(id -> !idToConstant.containsKey(id))
.collect(Collectors.toSet());
}
}
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