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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
* "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.spark.source;
import static org.apache.iceberg.IsolationLevel.SERIALIZABLE;
import static org.apache.spark.sql.connector.write.RowLevelOperation.Command.DELETE;
import static org.apache.spark.sql.connector.write.RowLevelOperation.Command.MERGE;
import static org.apache.spark.sql.connector.write.RowLevelOperation.Command.UPDATE;
import java.io.IOException;
import java.io.Serializable;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import org.apache.iceberg.ContentFile;
import org.apache.iceberg.DataFile;
import org.apache.iceberg.DeleteFile;
import org.apache.iceberg.FileFormat;
import org.apache.iceberg.IsolationLevel;
import org.apache.iceberg.MetadataColumns;
import org.apache.iceberg.PartitionKey;
import org.apache.iceberg.PartitionSpec;
import org.apache.iceberg.Partitioning;
import org.apache.iceberg.RowDelta;
import org.apache.iceberg.Schema;
import org.apache.iceberg.SnapshotSummary;
import org.apache.iceberg.SnapshotUpdate;
import org.apache.iceberg.Table;
import org.apache.iceberg.deletes.DeleteGranularity;
import org.apache.iceberg.deletes.PositionDelete;
import org.apache.iceberg.exceptions.CleanableFailure;
import org.apache.iceberg.expressions.Expression;
import org.apache.iceberg.expressions.Expressions;
import org.apache.iceberg.io.BasePositionDeltaWriter;
import org.apache.iceberg.io.ClusteredDataWriter;
import org.apache.iceberg.io.ClusteredPositionDeleteWriter;
import org.apache.iceberg.io.DataWriteResult;
import org.apache.iceberg.io.DeleteWriteResult;
import org.apache.iceberg.io.FanoutDataWriter;
import org.apache.iceberg.io.FanoutPositionOnlyDeleteWriter;
import org.apache.iceberg.io.FileIO;
import org.apache.iceberg.io.OutputFileFactory;
import org.apache.iceberg.io.PartitioningWriter;
import org.apache.iceberg.io.PositionDeltaWriter;
import org.apache.iceberg.io.WriteResult;
import org.apache.iceberg.relocated.com.google.common.collect.Lists;
import org.apache.iceberg.relocated.com.google.common.collect.Maps;
import org.apache.iceberg.spark.CommitMetadata;
import org.apache.iceberg.spark.SparkSchemaUtil;
import org.apache.iceberg.spark.SparkWriteConf;
import org.apache.iceberg.spark.SparkWriteRequirements;
import org.apache.iceberg.types.Types;
import org.apache.iceberg.util.CharSequenceSet;
import org.apache.iceberg.util.StructProjection;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.broadcast.Broadcast;
import org.apache.spark.sql.SparkSession;
import org.apache.spark.sql.catalyst.InternalRow;
import org.apache.spark.sql.connector.distributions.Distribution;
import org.apache.spark.sql.connector.expressions.SortOrder;
import org.apache.spark.sql.connector.write.DeltaBatchWrite;
import org.apache.spark.sql.connector.write.DeltaWrite;
import org.apache.spark.sql.connector.write.DeltaWriter;
import org.apache.spark.sql.connector.write.DeltaWriterFactory;
import org.apache.spark.sql.connector.write.LogicalWriteInfo;
import org.apache.spark.sql.connector.write.PhysicalWriteInfo;
import org.apache.spark.sql.connector.write.RequiresDistributionAndOrdering;
import org.apache.spark.sql.connector.write.RowLevelOperation.Command;
import org.apache.spark.sql.connector.write.WriterCommitMessage;
import org.apache.spark.sql.types.StructType;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
class SparkPositionDeltaWrite implements DeltaWrite, RequiresDistributionAndOrdering {
private static final Logger LOG = LoggerFactory.getLogger(SparkPositionDeltaWrite.class);
private final JavaSparkContext sparkContext;
private final Table table;
private final Command command;
private final SparkBatchQueryScan scan;
private final IsolationLevel isolationLevel;
private final String applicationId;
private final boolean wapEnabled;
private final String wapId;
private final String branch;
private final Map extraSnapshotMetadata;
private final SparkWriteRequirements writeRequirements;
private final Context context;
private final Map writeProperties;
private boolean cleanupOnAbort = false;
SparkPositionDeltaWrite(
SparkSession spark,
Table table,
Command command,
SparkBatchQueryScan scan,
IsolationLevel isolationLevel,
SparkWriteConf writeConf,
LogicalWriteInfo info,
Schema dataSchema) {
this.sparkContext = JavaSparkContext.fromSparkContext(spark.sparkContext());
this.table = table;
this.command = command;
this.scan = scan;
this.isolationLevel = isolationLevel;
this.applicationId = spark.sparkContext().applicationId();
this.wapEnabled = writeConf.wapEnabled();
this.wapId = writeConf.wapId();
this.branch = writeConf.branch();
this.extraSnapshotMetadata = writeConf.extraSnapshotMetadata();
this.writeRequirements = writeConf.positionDeltaRequirements(command);
this.context = new Context(dataSchema, writeConf, info, writeRequirements);
this.writeProperties = writeConf.writeProperties();
}
@Override
public Distribution requiredDistribution() {
Distribution distribution = writeRequirements.distribution();
LOG.info("Requesting {} as write distribution for table {}", distribution, table.name());
return distribution;
}
@Override
public boolean distributionStrictlyRequired() {
return false;
}
@Override
public SortOrder[] requiredOrdering() {
SortOrder[] ordering = writeRequirements.ordering();
LOG.info("Requesting {} as write ordering for table {}", ordering, table.name());
return ordering;
}
@Override
public long advisoryPartitionSizeInBytes() {
long size = writeRequirements.advisoryPartitionSize();
LOG.info("Requesting {} bytes advisory partition size for table {}", size, table.name());
return size;
}
@Override
public DeltaBatchWrite toBatch() {
return new PositionDeltaBatchWrite();
}
private class PositionDeltaBatchWrite implements DeltaBatchWrite {
@Override
public DeltaWriterFactory createBatchWriterFactory(PhysicalWriteInfo info) {
// broadcast the table metadata as the writer factory will be sent to executors
Broadcast tableBroadcast =
sparkContext.broadcast(SerializableTableWithSize.copyOf(table));
return new PositionDeltaWriteFactory(tableBroadcast, command, context, writeProperties);
}
@Override
public boolean useCommitCoordinator() {
return false;
}
@Override
public void commit(WriterCommitMessage[] messages) {
RowDelta rowDelta = table.newRowDelta();
CharSequenceSet referencedDataFiles = CharSequenceSet.empty();
int addedDataFilesCount = 0;
int addedDeleteFilesCount = 0;
for (WriterCommitMessage message : messages) {
DeltaTaskCommit taskCommit = (DeltaTaskCommit) message;
for (DataFile dataFile : taskCommit.dataFiles()) {
rowDelta.addRows(dataFile);
addedDataFilesCount += 1;
}
for (DeleteFile deleteFile : taskCommit.deleteFiles()) {
rowDelta.addDeletes(deleteFile);
addedDeleteFilesCount += 1;
}
referencedDataFiles.addAll(Arrays.asList(taskCommit.referencedDataFiles()));
}
// the scan may be null if the optimizer replaces it with an empty relation
// no validation is needed in this case as the command is independent of the table state
if (scan != null) {
Expression conflictDetectionFilter = conflictDetectionFilter(scan);
rowDelta.conflictDetectionFilter(conflictDetectionFilter);
rowDelta.validateDataFilesExist(referencedDataFiles);
if (scan.snapshotId() != null) {
// set the read snapshot ID to check only snapshots that happened after the table was read
// otherwise, the validation will go through all snapshots present in the table
rowDelta.validateFromSnapshot(scan.snapshotId());
}
if (command == UPDATE || command == MERGE) {
rowDelta.validateDeletedFiles();
rowDelta.validateNoConflictingDeleteFiles();
}
if (isolationLevel == SERIALIZABLE) {
rowDelta.validateNoConflictingDataFiles();
}
String commitMsg =
String.format(
"position delta with %d data files and %d delete files "
+ "(scanSnapshotId: %d, conflictDetectionFilter: %s, isolationLevel: %s)",
addedDataFilesCount,
addedDeleteFilesCount,
scan.snapshotId(),
conflictDetectionFilter,
isolationLevel);
commitOperation(rowDelta, commitMsg);
} else {
String commitMsg =
String.format(
"position delta with %d data files and %d delete files (no validation required)",
addedDataFilesCount, addedDeleteFilesCount);
commitOperation(rowDelta, commitMsg);
}
}
private Expression conflictDetectionFilter(SparkBatchQueryScan queryScan) {
Expression filter = Expressions.alwaysTrue();
for (Expression expr : queryScan.filterExpressions()) {
filter = Expressions.and(filter, expr);
}
return filter;
}
@Override
public void abort(WriterCommitMessage[] messages) {
if (cleanupOnAbort) {
SparkCleanupUtil.deleteFiles("job abort", table.io(), files(messages));
} else {
LOG.warn("Skipping cleanup of written files");
}
}
private List> files(WriterCommitMessage[] messages) {
List> files = Lists.newArrayList();
for (WriterCommitMessage message : messages) {
if (message != null) {
DeltaTaskCommit taskCommit = (DeltaTaskCommit) message;
files.addAll(Arrays.asList(taskCommit.dataFiles()));
files.addAll(Arrays.asList(taskCommit.deleteFiles()));
}
}
return files;
}
private void commitOperation(SnapshotUpdate operation, String description) {
LOG.info("Committing {} to table {}", description, table);
if (applicationId != null) {
operation.set("spark.app.id", applicationId);
}
extraSnapshotMetadata.forEach(operation::set);
CommitMetadata.commitProperties().forEach(operation::set);
if (wapEnabled && wapId != null) {
// write-audit-publish is enabled for this table and job
// stage the changes without changing the current snapshot
operation.set(SnapshotSummary.STAGED_WAP_ID_PROP, wapId);
operation.stageOnly();
}
if (branch != null) {
operation.toBranch(branch);
}
try {
long start = System.currentTimeMillis();
operation.commit(); // abort is automatically called if this fails
long duration = System.currentTimeMillis() - start;
LOG.info("Committed in {} ms", duration);
} catch (Exception e) {
cleanupOnAbort = e instanceof CleanableFailure;
throw e;
}
}
}
public static class DeltaTaskCommit implements WriterCommitMessage {
private final DataFile[] dataFiles;
private final DeleteFile[] deleteFiles;
private final CharSequence[] referencedDataFiles;
DeltaTaskCommit(WriteResult result) {
this.dataFiles = result.dataFiles();
this.deleteFiles = result.deleteFiles();
this.referencedDataFiles = result.referencedDataFiles();
}
DeltaTaskCommit(DeleteWriteResult result) {
this.dataFiles = new DataFile[0];
this.deleteFiles = result.deleteFiles().toArray(new DeleteFile[0]);
this.referencedDataFiles = result.referencedDataFiles().toArray(new CharSequence[0]);
}
DataFile[] dataFiles() {
return dataFiles;
}
DeleteFile[] deleteFiles() {
return deleteFiles;
}
CharSequence[] referencedDataFiles() {
return referencedDataFiles;
}
}
private static class PositionDeltaWriteFactory implements DeltaWriterFactory {
private final Broadcast tableBroadcast;
private final Command command;
private final Context context;
private final Map writeProperties;
PositionDeltaWriteFactory(
Broadcast tableBroadcast,
Command command,
Context context,
Map writeProperties) {
this.tableBroadcast = tableBroadcast;
this.command = command;
this.context = context;
this.writeProperties = writeProperties;
}
@Override
public DeltaWriter createWriter(int partitionId, long taskId) {
Table table = tableBroadcast.value();
OutputFileFactory dataFileFactory =
OutputFileFactory.builderFor(table, partitionId, taskId)
.format(context.dataFileFormat())
.operationId(context.queryId())
.build();
OutputFileFactory deleteFileFactory =
OutputFileFactory.builderFor(table, partitionId, taskId)
.format(context.deleteFileFormat())
.operationId(context.queryId())
.suffix("deletes")
.build();
SparkFileWriterFactory writerFactory =
SparkFileWriterFactory.builderFor(table)
.dataFileFormat(context.dataFileFormat())
.dataSchema(context.dataSchema())
.dataSparkType(context.dataSparkType())
.deleteFileFormat(context.deleteFileFormat())
.positionDeleteSparkType(context.deleteSparkType())
.writeProperties(writeProperties)
.build();
if (command == DELETE) {
return new DeleteOnlyDeltaWriter(table, writerFactory, deleteFileFactory, context);
} else if (table.spec().isUnpartitioned()) {
return new UnpartitionedDeltaWriter(
table, writerFactory, dataFileFactory, deleteFileFactory, context);
} else {
return new PartitionedDeltaWriter(
table, writerFactory, dataFileFactory, deleteFileFactory, context);
}
}
}
private abstract static class BaseDeltaWriter implements DeltaWriter {
protected InternalRowWrapper initPartitionRowWrapper(Types.StructType partitionType) {
StructType sparkPartitionType = (StructType) SparkSchemaUtil.convert(partitionType);
return new InternalRowWrapper(sparkPartitionType, partitionType);
}
protected Map buildPartitionProjections(
Types.StructType partitionType, Map specs) {
Map partitionProjections = Maps.newHashMap();
for (int specId : specs.keySet()) {
PartitionSpec spec = specs.get(specId);
StructProjection projection = StructProjection.create(partitionType, spec.partitionType());
partitionProjections.put(specId, projection);
}
return partitionProjections;
}
// use a fanout writer only if enabled and the input is unordered and the table is partitioned
protected PartitioningWriter newDataWriter(
Table table, SparkFileWriterFactory writers, OutputFileFactory files, Context context) {
FileIO io = table.io();
boolean useFanoutWriter = context.useFanoutWriter();
long targetFileSize = context.targetDataFileSize();
if (table.spec().isPartitioned() && useFanoutWriter) {
return new FanoutDataWriter<>(writers, files, io, targetFileSize);
} else {
return new ClusteredDataWriter<>(writers, files, io, targetFileSize);
}
}
// the spec requires position deletes to be ordered by file and position
// use a fanout writer if the input is unordered no matter whether fanout writers are enabled
// clustered writers assume that the position deletes are already ordered by file and position
protected PartitioningWriter, DeleteWriteResult> newDeleteWriter(
Table table, SparkFileWriterFactory writers, OutputFileFactory files, Context context) {
FileIO io = table.io();
boolean inputOrdered = context.inputOrdered();
long targetFileSize = context.targetDeleteFileSize();
DeleteGranularity deleteGranularity = context.deleteGranularity();
if (inputOrdered) {
return new ClusteredPositionDeleteWriter<>(
writers, files, io, targetFileSize, deleteGranularity);
} else {
return new FanoutPositionOnlyDeleteWriter<>(
writers, files, io, targetFileSize, deleteGranularity);
}
}
}
private static class DeleteOnlyDeltaWriter extends BaseDeltaWriter {
private final PartitioningWriter, DeleteWriteResult> delegate;
private final PositionDelete positionDelete;
private final FileIO io;
private final Map specs;
private final InternalRowWrapper partitionRowWrapper;
private final Map partitionProjections;
private final int specIdOrdinal;
private final int partitionOrdinal;
private final int fileOrdinal;
private final int positionOrdinal;
private boolean closed = false;
DeleteOnlyDeltaWriter(
Table table,
SparkFileWriterFactory writerFactory,
OutputFileFactory deleteFileFactory,
Context context) {
this.delegate = newDeleteWriter(table, writerFactory, deleteFileFactory, context);
this.positionDelete = PositionDelete.create();
this.io = table.io();
this.specs = table.specs();
Types.StructType partitionType = Partitioning.partitionType(table);
this.partitionRowWrapper = initPartitionRowWrapper(partitionType);
this.partitionProjections = buildPartitionProjections(partitionType, specs);
this.specIdOrdinal = context.specIdOrdinal();
this.partitionOrdinal = context.partitionOrdinal();
this.fileOrdinal = context.fileOrdinal();
this.positionOrdinal = context.positionOrdinal();
}
@Override
public void delete(InternalRow metadata, InternalRow id) throws IOException {
int specId = metadata.getInt(specIdOrdinal);
PartitionSpec spec = specs.get(specId);
InternalRow partition = metadata.getStruct(partitionOrdinal, partitionRowWrapper.size());
StructProjection partitionProjection = partitionProjections.get(specId);
partitionProjection.wrap(partitionRowWrapper.wrap(partition));
String file = id.getString(fileOrdinal);
long position = id.getLong(positionOrdinal);
positionDelete.set(file, position, null);
delegate.write(positionDelete, spec, partitionProjection);
}
@Override
public void update(InternalRow metadata, InternalRow id, InternalRow row) {
throw new UnsupportedOperationException(
this.getClass().getName() + " does not implement update");
}
@Override
public void insert(InternalRow row) throws IOException {
throw new UnsupportedOperationException(
this.getClass().getName() + " does not implement insert");
}
@Override
public WriterCommitMessage commit() throws IOException {
close();
DeleteWriteResult result = delegate.result();
return new DeltaTaskCommit(result);
}
@Override
public void abort() throws IOException {
close();
DeleteWriteResult result = delegate.result();
SparkCleanupUtil.deleteTaskFiles(io, result.deleteFiles());
}
@Override
public void close() throws IOException {
if (!closed) {
delegate.close();
this.closed = true;
}
}
}
@SuppressWarnings("checkstyle:VisibilityModifier")
private abstract static class DeleteAndDataDeltaWriter extends BaseDeltaWriter {
protected final PositionDeltaWriter delegate;
private final FileIO io;
private final Map specs;
private final InternalRowWrapper deletePartitionRowWrapper;
private final Map deletePartitionProjections;
private final int specIdOrdinal;
private final int partitionOrdinal;
private final int fileOrdinal;
private final int positionOrdinal;
private boolean closed = false;
DeleteAndDataDeltaWriter(
Table table,
SparkFileWriterFactory writerFactory,
OutputFileFactory dataFileFactory,
OutputFileFactory deleteFileFactory,
Context context) {
this.delegate =
new BasePositionDeltaWriter<>(
newDataWriter(table, writerFactory, dataFileFactory, context),
newDeleteWriter(table, writerFactory, deleteFileFactory, context));
this.io = table.io();
this.specs = table.specs();
Types.StructType partitionType = Partitioning.partitionType(table);
this.deletePartitionRowWrapper = initPartitionRowWrapper(partitionType);
this.deletePartitionProjections = buildPartitionProjections(partitionType, specs);
this.specIdOrdinal = context.specIdOrdinal();
this.partitionOrdinal = context.partitionOrdinal();
this.fileOrdinal = context.fileOrdinal();
this.positionOrdinal = context.positionOrdinal();
}
@Override
public void delete(InternalRow meta, InternalRow id) throws IOException {
int specId = meta.getInt(specIdOrdinal);
PartitionSpec spec = specs.get(specId);
InternalRow partition = meta.getStruct(partitionOrdinal, deletePartitionRowWrapper.size());
StructProjection partitionProjection = deletePartitionProjections.get(specId);
partitionProjection.wrap(deletePartitionRowWrapper.wrap(partition));
String file = id.getString(fileOrdinal);
long position = id.getLong(positionOrdinal);
delegate.delete(file, position, spec, partitionProjection);
}
@Override
public WriterCommitMessage commit() throws IOException {
close();
WriteResult result = delegate.result();
return new DeltaTaskCommit(result);
}
@Override
public void abort() throws IOException {
close();
WriteResult result = delegate.result();
SparkCleanupUtil.deleteTaskFiles(io, files(result));
}
private List> files(WriteResult result) {
List> files = Lists.newArrayList();
files.addAll(Arrays.asList(result.dataFiles()));
files.addAll(Arrays.asList(result.deleteFiles()));
return files;
}
@Override
public void close() throws IOException {
if (!closed) {
delegate.close();
this.closed = true;
}
}
}
private static class UnpartitionedDeltaWriter extends DeleteAndDataDeltaWriter {
private final PartitionSpec dataSpec;
UnpartitionedDeltaWriter(
Table table,
SparkFileWriterFactory writerFactory,
OutputFileFactory dataFileFactory,
OutputFileFactory deleteFileFactory,
Context context) {
super(table, writerFactory, dataFileFactory, deleteFileFactory, context);
this.dataSpec = table.spec();
}
@Override
public void update(InternalRow meta, InternalRow id, InternalRow row) throws IOException {
throw new UnsupportedOperationException("Update must be represented as delete and insert");
}
@Override
public void insert(InternalRow row) throws IOException {
delegate.insert(row, dataSpec, null);
}
}
private static class PartitionedDeltaWriter extends DeleteAndDataDeltaWriter {
private final PartitionSpec dataSpec;
private final PartitionKey dataPartitionKey;
private final InternalRowWrapper internalRowDataWrapper;
PartitionedDeltaWriter(
Table table,
SparkFileWriterFactory writerFactory,
OutputFileFactory dataFileFactory,
OutputFileFactory deleteFileFactory,
Context context) {
super(table, writerFactory, dataFileFactory, deleteFileFactory, context);
this.dataSpec = table.spec();
this.dataPartitionKey = new PartitionKey(dataSpec, context.dataSchema());
this.internalRowDataWrapper =
new InternalRowWrapper(context.dataSparkType(), context.dataSchema().asStruct());
}
@Override
public void update(InternalRow meta, InternalRow id, InternalRow row) throws IOException {
throw new UnsupportedOperationException("Update must be represented as delete and insert");
}
@Override
public void insert(InternalRow row) throws IOException {
dataPartitionKey.partition(internalRowDataWrapper.wrap(row));
delegate.insert(row, dataSpec, dataPartitionKey);
}
}
// a serializable helper class for common parameters required to configure writers
private static class Context implements Serializable {
private final Schema dataSchema;
private final StructType dataSparkType;
private final FileFormat dataFileFormat;
private final long targetDataFileSize;
private final StructType deleteSparkType;
private final StructType metadataSparkType;
private final FileFormat deleteFileFormat;
private final long targetDeleteFileSize;
private final DeleteGranularity deleteGranularity;
private final String queryId;
private final boolean useFanoutWriter;
private final boolean inputOrdered;
Context(
Schema dataSchema,
SparkWriteConf writeConf,
LogicalWriteInfo info,
SparkWriteRequirements writeRequirements) {
this.dataSchema = dataSchema;
this.dataSparkType = info.schema();
this.dataFileFormat = writeConf.dataFileFormat();
this.targetDataFileSize = writeConf.targetDataFileSize();
this.deleteSparkType = info.rowIdSchema().get();
this.deleteFileFormat = writeConf.deleteFileFormat();
this.targetDeleteFileSize = writeConf.targetDeleteFileSize();
this.deleteGranularity = writeConf.deleteGranularity();
this.metadataSparkType = info.metadataSchema().get();
this.queryId = info.queryId();
this.useFanoutWriter = writeConf.useFanoutWriter(writeRequirements);
this.inputOrdered = writeRequirements.hasOrdering();
}
Schema dataSchema() {
return dataSchema;
}
StructType dataSparkType() {
return dataSparkType;
}
FileFormat dataFileFormat() {
return dataFileFormat;
}
long targetDataFileSize() {
return targetDataFileSize;
}
StructType deleteSparkType() {
return deleteSparkType;
}
FileFormat deleteFileFormat() {
return deleteFileFormat;
}
long targetDeleteFileSize() {
return targetDeleteFileSize;
}
DeleteGranularity deleteGranularity() {
return deleteGranularity;
}
String queryId() {
return queryId;
}
boolean useFanoutWriter() {
return useFanoutWriter;
}
boolean inputOrdered() {
return inputOrdered;
}
int specIdOrdinal() {
return metadataSparkType.fieldIndex(MetadataColumns.SPEC_ID.name());
}
int partitionOrdinal() {
return metadataSparkType.fieldIndex(MetadataColumns.PARTITION_COLUMN_NAME);
}
int fileOrdinal() {
return deleteSparkType.fieldIndex(MetadataColumns.FILE_PATH.name());
}
int positionOrdinal() {
return deleteSparkType.fieldIndex(MetadataColumns.ROW_POSITION.name());
}
}
}
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