-
Notifications
You must be signed in to change notification settings - Fork 2.3k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Spark 3.3: Backport support for default values (#11988)
- Loading branch information
Showing
27 changed files
with
1,369 additions
and
816 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
192 changes: 192 additions & 0 deletions
192
spark/v3.3/spark/src/main/java/org/apache/iceberg/spark/data/SparkPlannedAvroReader.java
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,192 @@ | ||
| /* | ||
| * 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.data; | ||
|
|
||
| import java.io.IOException; | ||
| import java.util.List; | ||
| import java.util.Map; | ||
| import java.util.function.Supplier; | ||
| import org.apache.avro.LogicalType; | ||
| import org.apache.avro.LogicalTypes; | ||
| import org.apache.avro.Schema; | ||
| import org.apache.avro.io.DatumReader; | ||
| import org.apache.avro.io.Decoder; | ||
| import org.apache.iceberg.avro.AvroWithPartnerVisitor; | ||
| import org.apache.iceberg.avro.SupportsRowPosition; | ||
| import org.apache.iceberg.avro.ValueReader; | ||
| import org.apache.iceberg.avro.ValueReaders; | ||
| import org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap; | ||
| import org.apache.iceberg.spark.SparkUtil; | ||
| import org.apache.iceberg.types.Type; | ||
| import org.apache.iceberg.types.Types; | ||
| import org.apache.iceberg.util.Pair; | ||
| import org.apache.spark.sql.catalyst.InternalRow; | ||
|
|
||
| public class SparkPlannedAvroReader implements DatumReader<InternalRow>, SupportsRowPosition { | ||
|
|
||
| private final Types.StructType expectedType; | ||
| private final Map<Integer, ?> idToConstant; | ||
| private ValueReader<InternalRow> reader; | ||
|
|
||
| public static SparkPlannedAvroReader create(org.apache.iceberg.Schema schema) { | ||
| return create(schema, ImmutableMap.of()); | ||
| } | ||
|
|
||
| public static SparkPlannedAvroReader create( | ||
| org.apache.iceberg.Schema schema, Map<Integer, ?> constants) { | ||
| return new SparkPlannedAvroReader(schema, constants); | ||
| } | ||
|
|
||
| private SparkPlannedAvroReader( | ||
| org.apache.iceberg.Schema expectedSchema, Map<Integer, ?> constants) { | ||
| this.expectedType = expectedSchema.asStruct(); | ||
| this.idToConstant = constants; | ||
| } | ||
|
|
||
| @Override | ||
| @SuppressWarnings("unchecked") | ||
| public void setSchema(Schema fileSchema) { | ||
| this.reader = | ||
| (ValueReader<InternalRow>) | ||
| AvroWithPartnerVisitor.visit( | ||
| expectedType, | ||
| fileSchema, | ||
| new ReadBuilder(idToConstant), | ||
| AvroWithPartnerVisitor.FieldIDAccessors.get()); | ||
| } | ||
|
|
||
| @Override | ||
| public InternalRow read(InternalRow reuse, Decoder decoder) throws IOException { | ||
| return reader.read(decoder, reuse); | ||
| } | ||
|
|
||
| @Override | ||
| public void setRowPositionSupplier(Supplier<Long> posSupplier) { | ||
| if (reader instanceof SupportsRowPosition) { | ||
| ((SupportsRowPosition) reader).setRowPositionSupplier(posSupplier); | ||
| } | ||
| } | ||
|
|
||
| private static class ReadBuilder extends AvroWithPartnerVisitor<Type, ValueReader<?>> { | ||
| private final Map<Integer, ?> idToConstant; | ||
|
|
||
| private ReadBuilder(Map<Integer, ?> idToConstant) { | ||
| this.idToConstant = idToConstant; | ||
| } | ||
|
|
||
| @Override | ||
| public ValueReader<?> record(Type partner, Schema record, List<ValueReader<?>> fieldReaders) { | ||
| if (partner == null) { | ||
| return ValueReaders.skipStruct(fieldReaders); | ||
| } | ||
|
|
||
| Types.StructType expected = partner.asStructType(); | ||
| List<Pair<Integer, ValueReader<?>>> readPlan = | ||
| ValueReaders.buildReadPlan( | ||
| expected, record, fieldReaders, idToConstant, SparkUtil::internalToSpark); | ||
|
|
||
| // TODO: should this pass expected so that struct.get can reuse containers? | ||
| return SparkValueReaders.struct(readPlan, expected.fields().size()); | ||
| } | ||
|
|
||
| @Override | ||
| public ValueReader<?> union(Type partner, Schema union, List<ValueReader<?>> options) { | ||
| return ValueReaders.union(options); | ||
| } | ||
|
|
||
| @Override | ||
| public ValueReader<?> array(Type partner, Schema array, ValueReader<?> elementReader) { | ||
| return SparkValueReaders.array(elementReader); | ||
| } | ||
|
|
||
| @Override | ||
| public ValueReader<?> arrayMap( | ||
| Type partner, Schema map, ValueReader<?> keyReader, ValueReader<?> valueReader) { | ||
| return SparkValueReaders.arrayMap(keyReader, valueReader); | ||
| } | ||
|
|
||
| @Override | ||
| public ValueReader<?> map(Type partner, Schema map, ValueReader<?> valueReader) { | ||
| return SparkValueReaders.map(SparkValueReaders.strings(), valueReader); | ||
| } | ||
|
|
||
| @Override | ||
| public ValueReader<?> primitive(Type partner, Schema primitive) { | ||
| LogicalType logicalType = primitive.getLogicalType(); | ||
| if (logicalType != null) { | ||
| switch (logicalType.getName()) { | ||
| case "date": | ||
| // Spark uses the same representation | ||
| return ValueReaders.ints(); | ||
|
|
||
| case "timestamp-millis": | ||
| // adjust to microseconds | ||
| ValueReader<Long> longs = ValueReaders.longs(); | ||
| return (ValueReader<Long>) (decoder, ignored) -> longs.read(decoder, null) * 1000L; | ||
|
|
||
| case "timestamp-micros": | ||
| // Spark uses the same representation | ||
| return ValueReaders.longs(); | ||
|
|
||
| case "decimal": | ||
| return SparkValueReaders.decimal( | ||
| ValueReaders.decimalBytesReader(primitive), | ||
| ((LogicalTypes.Decimal) logicalType).getScale()); | ||
|
|
||
| case "uuid": | ||
| return SparkValueReaders.uuids(); | ||
|
|
||
| default: | ||
| throw new IllegalArgumentException("Unknown logical type: " + logicalType); | ||
| } | ||
| } | ||
|
|
||
| switch (primitive.getType()) { | ||
| case NULL: | ||
| return ValueReaders.nulls(); | ||
| case BOOLEAN: | ||
| return ValueReaders.booleans(); | ||
| case INT: | ||
| if (partner != null && partner.typeId() == Type.TypeID.LONG) { | ||
| return ValueReaders.intsAsLongs(); | ||
| } | ||
| return ValueReaders.ints(); | ||
| case LONG: | ||
| return ValueReaders.longs(); | ||
| case FLOAT: | ||
| if (partner != null && partner.typeId() == Type.TypeID.DOUBLE) { | ||
| return ValueReaders.floatsAsDoubles(); | ||
| } | ||
| return ValueReaders.floats(); | ||
| case DOUBLE: | ||
| return ValueReaders.doubles(); | ||
| case STRING: | ||
| return SparkValueReaders.strings(); | ||
| case FIXED: | ||
| return ValueReaders.fixed(primitive.getFixedSize()); | ||
| case BYTES: | ||
| return ValueReaders.bytes(); | ||
| case ENUM: | ||
| return SparkValueReaders.enums(primitive.getEnumSymbols()); | ||
| default: | ||
| throw new IllegalArgumentException("Unsupported type: " + primitive); | ||
| } | ||
| } | ||
| } | ||
| } |
Oops, something went wrong.