chenjunjiedada commented on a change in pull request #1237:
URL: https://github.com/apache/iceberg/pull/1237#discussion_r462275653
##########
File path:
flink/src/main/java/org/apache/iceberg/flink/data/FlinkParquetReaders.java
##########
@@ -19,64 +19,714 @@
package org.apache.iceberg.flink.data;
+import java.math.BigDecimal;
+import java.math.BigInteger;
+import java.nio.ByteBuffer;
import java.util.List;
-import org.apache.flink.types.Row;
+import java.util.Map;
+import org.apache.commons.lang3.ArrayUtils;
+import org.apache.flink.table.data.ArrayData;
+import org.apache.flink.table.data.DecimalData;
+import org.apache.flink.table.data.GenericRowData;
+import org.apache.flink.table.data.MapData;
+import org.apache.flink.table.data.RawValueData;
+import org.apache.flink.table.data.RowData;
+import org.apache.flink.table.data.StringData;
+import org.apache.flink.table.data.TimestampData;
import org.apache.iceberg.Schema;
-import org.apache.iceberg.data.parquet.BaseParquetReaders;
+import org.apache.iceberg.parquet.ParquetSchemaUtil;
import org.apache.iceberg.parquet.ParquetValueReader;
import org.apache.iceberg.parquet.ParquetValueReaders;
+import org.apache.iceberg.parquet.TypeWithSchemaVisitor;
+import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList;
+import org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.apache.iceberg.relocated.com.google.common.collect.Maps;
import org.apache.iceberg.types.Types;
+import org.apache.parquet.column.ColumnDescriptor;
+import org.apache.parquet.io.api.Binary;
+import org.apache.parquet.schema.GroupType;
+import
org.apache.parquet.schema.LogicalTypeAnnotation.DecimalLogicalTypeAnnotation;
import org.apache.parquet.schema.MessageType;
+import org.apache.parquet.schema.PrimitiveType;
import org.apache.parquet.schema.Type;
-public class FlinkParquetReaders extends BaseParquetReaders<Row> {
+public class FlinkParquetReaders {
+ private FlinkParquetReaders() {
+ }
- private static final FlinkParquetReaders INSTANCE = new
FlinkParquetReaders();
+ public static ParquetValueReader<RowData> buildReader(Schema expectedSchema,
MessageType fileSchema) {
+ return buildReader(expectedSchema, fileSchema, ImmutableMap.of());
+ }
- private FlinkParquetReaders() {
+ @SuppressWarnings("unchecked")
+ public static ParquetValueReader<RowData> buildReader(Schema expectedSchema,
+ MessageType fileSchema,
+ Map<Integer, ?>
idToConstant) {
+ if (ParquetSchemaUtil.hasIds(fileSchema)) {
+ return (ParquetValueReader<RowData>)
+ TypeWithSchemaVisitor.visit(expectedSchema.asStruct(), fileSchema,
+ new ReadBuilder(fileSchema, idToConstant));
+ } else {
+ return (ParquetValueReader<RowData>)
+ TypeWithSchemaVisitor.visit(expectedSchema.asStruct(), fileSchema,
+ new FallbackReadBuilder(fileSchema, idToConstant));
+ }
+ }
+
+ private static class FallbackReadBuilder extends ReadBuilder {
+ FallbackReadBuilder(MessageType type, Map<Integer, ?> idToConstant) {
+ super(type, idToConstant);
+ }
+
+ @Override
+ public ParquetValueReader<?> message(Types.StructType expected,
MessageType message,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ // the top level matches by ID, but the remaining IDs are missing
+ return super.struct(expected, message, fieldReaders);
+ }
+
+ @Override
+ public ParquetValueReader<?> struct(Types.StructType ignored, GroupType
struct,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ // the expected struct is ignored because nested fields are never found
when the
+ List<ParquetValueReader<?>> newFields =
Lists.newArrayListWithExpectedSize(
+ fieldReaders.size());
+ List<Type> types =
Lists.newArrayListWithExpectedSize(fieldReaders.size());
+ List<Type> fields = struct.getFields();
+ for (int i = 0; i < fields.size(); i += 1) {
+ Type fieldType = fields.get(i);
+ int fieldD = type().getMaxDefinitionLevel(path(fieldType.getName())) -
1;
+ newFields.add(ParquetValueReaders.option(fieldType, fieldD,
fieldReaders.get(i)));
+ types.add(fieldType);
+ }
+
+ return new RowDataReader(types, newFields);
+ }
+ }
+
+ private static class ReadBuilder extends
TypeWithSchemaVisitor<ParquetValueReader<?>> {
+ private final MessageType type;
+ private final Map<Integer, ?> idToConstant;
+
+ ReadBuilder(MessageType type, Map<Integer, ?> idToConstant) {
+ this.type = type;
+ this.idToConstant = idToConstant;
+ }
+
+ @Override
+ public ParquetValueReader<?> message(Types.StructType expected,
MessageType message,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ return struct(expected, message.asGroupType(), fieldReaders);
+ }
+
+ @Override
+ public ParquetValueReader<?> struct(Types.StructType expected, GroupType
struct,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ // match the expected struct's order
+ Map<Integer, ParquetValueReader<?>> readersById = Maps.newHashMap();
+ Map<Integer, Type> typesById = Maps.newHashMap();
+ List<Type> fields = struct.getFields();
+ for (int i = 0; i < fields.size(); i += 1) {
+ Type fieldType = fields.get(i);
+ int fieldD = type.getMaxDefinitionLevel(path(fieldType.getName())) - 1;
+ if (fieldType.getId() != null) {
+ int id = fieldType.getId().intValue();
+ readersById.put(id, ParquetValueReaders.option(fieldType, fieldD,
fieldReaders.get(i)));
+ typesById.put(id, fieldType);
+ }
+ }
+
+ List<Types.NestedField> expectedFields = expected != null ?
+ expected.fields() : ImmutableList.of();
+ List<ParquetValueReader<?>> reorderedFields =
Lists.newArrayListWithExpectedSize(
+ expectedFields.size());
+ List<Type> types =
Lists.newArrayListWithExpectedSize(expectedFields.size());
+ for (Types.NestedField field : expectedFields) {
+ int id = field.fieldId();
+ if (idToConstant.containsKey(id)) {
+ // containsKey is used because the constant may be null
+
reorderedFields.add(ParquetValueReaders.constant(idToConstant.get(id)));
+ types.add(null);
+ } else {
+ ParquetValueReader<?> reader = readersById.get(id);
+ if (reader != null) {
+ reorderedFields.add(reader);
+ types.add(typesById.get(id));
+ } else {
+ reorderedFields.add(ParquetValueReaders.nulls());
+ types.add(null);
+ }
+ }
+ }
+
+ return new RowDataReader(types, reorderedFields);
+ }
+
+ @Override
+ public ParquetValueReader<?> list(Types.ListType expectedList, GroupType
array,
+ ParquetValueReader<?> elementReader) {
+ GroupType repeated = array.getFields().get(0).asGroupType();
+ String[] repeatedPath = currentPath();
+
+ int repeatedD = type.getMaxDefinitionLevel(repeatedPath) - 1;
+ int repeatedR = type.getMaxRepetitionLevel(repeatedPath) - 1;
+
+ Type elementType = repeated.getType(0);
+ int elementD = type.getMaxDefinitionLevel(path(elementType.getName())) -
1;
+
+ return new ArrayReader<>(repeatedD, repeatedR,
ParquetValueReaders.option(elementType, elementD, elementReader));
+ }
+
+ @Override
+ public ParquetValueReader<?> map(Types.MapType expectedMap, GroupType map,
+ ParquetValueReader<?> keyReader,
+ ParquetValueReader<?> valueReader) {
+ GroupType repeatedKeyValue = map.getFields().get(0).asGroupType();
+ String[] repeatedPath = currentPath();
+
+ int repeatedD = type.getMaxDefinitionLevel(repeatedPath) - 1;
+ int repeatedR = type.getMaxRepetitionLevel(repeatedPath) - 1;
+
+ Type keyType = repeatedKeyValue.getType(0);
+ int keyD = type.getMaxDefinitionLevel(path(keyType.getName())) - 1;
+ Type valueType = repeatedKeyValue.getType(1);
+ int valueD = type.getMaxDefinitionLevel(path(valueType.getName())) - 1;
+
+ return new MapReader<>(repeatedD, repeatedR,
+ ParquetValueReaders.option(keyType, keyD, keyReader),
+ ParquetValueReaders.option(valueType, valueD, valueReader));
+ }
+
+ @Override
+ public ParquetValueReader<?>
primitive(org.apache.iceberg.types.Type.PrimitiveType expected,
+ PrimitiveType primitive) {
+ ColumnDescriptor desc = type.getColumnDescription(currentPath());
+
+ if (primitive.getOriginalType() != null) {
+ switch (primitive.getOriginalType()) {
+ case ENUM:
+ case JSON:
+ case UTF8:
+ return new StringReader(desc);
+ case INT_8:
+ case INT_16:
+ case INT_32:
+ case TIME_MICROS:
+ case DATE:
+ if (expected != null && expected.typeId() ==
Types.LongType.get().typeId()) {
+ return new ParquetValueReaders.IntAsLongReader(desc);
+ } else {
+ return new ParquetValueReaders.UnboxedReader<>(desc);
+ }
+ case INT_64:
+ case TIMESTAMP_MICROS:
+ return new TimestampMicroReader(desc);
Review comment:
Done.
##########
File path:
flink/src/main/java/org/apache/iceberg/flink/data/FlinkParquetReaders.java
##########
@@ -19,64 +19,714 @@
package org.apache.iceberg.flink.data;
+import java.math.BigDecimal;
+import java.math.BigInteger;
+import java.nio.ByteBuffer;
import java.util.List;
-import org.apache.flink.types.Row;
+import java.util.Map;
+import org.apache.commons.lang3.ArrayUtils;
+import org.apache.flink.table.data.ArrayData;
+import org.apache.flink.table.data.DecimalData;
+import org.apache.flink.table.data.GenericRowData;
+import org.apache.flink.table.data.MapData;
+import org.apache.flink.table.data.RawValueData;
+import org.apache.flink.table.data.RowData;
+import org.apache.flink.table.data.StringData;
+import org.apache.flink.table.data.TimestampData;
import org.apache.iceberg.Schema;
-import org.apache.iceberg.data.parquet.BaseParquetReaders;
+import org.apache.iceberg.parquet.ParquetSchemaUtil;
import org.apache.iceberg.parquet.ParquetValueReader;
import org.apache.iceberg.parquet.ParquetValueReaders;
+import org.apache.iceberg.parquet.TypeWithSchemaVisitor;
+import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList;
+import org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.apache.iceberg.relocated.com.google.common.collect.Maps;
import org.apache.iceberg.types.Types;
+import org.apache.parquet.column.ColumnDescriptor;
+import org.apache.parquet.io.api.Binary;
+import org.apache.parquet.schema.GroupType;
+import
org.apache.parquet.schema.LogicalTypeAnnotation.DecimalLogicalTypeAnnotation;
import org.apache.parquet.schema.MessageType;
+import org.apache.parquet.schema.PrimitiveType;
import org.apache.parquet.schema.Type;
-public class FlinkParquetReaders extends BaseParquetReaders<Row> {
+public class FlinkParquetReaders {
+ private FlinkParquetReaders() {
+ }
- private static final FlinkParquetReaders INSTANCE = new
FlinkParquetReaders();
+ public static ParquetValueReader<RowData> buildReader(Schema expectedSchema,
MessageType fileSchema) {
+ return buildReader(expectedSchema, fileSchema, ImmutableMap.of());
+ }
- private FlinkParquetReaders() {
+ @SuppressWarnings("unchecked")
+ public static ParquetValueReader<RowData> buildReader(Schema expectedSchema,
+ MessageType fileSchema,
+ Map<Integer, ?>
idToConstant) {
+ if (ParquetSchemaUtil.hasIds(fileSchema)) {
+ return (ParquetValueReader<RowData>)
+ TypeWithSchemaVisitor.visit(expectedSchema.asStruct(), fileSchema,
+ new ReadBuilder(fileSchema, idToConstant));
+ } else {
+ return (ParquetValueReader<RowData>)
+ TypeWithSchemaVisitor.visit(expectedSchema.asStruct(), fileSchema,
+ new FallbackReadBuilder(fileSchema, idToConstant));
+ }
+ }
+
+ private static class FallbackReadBuilder extends ReadBuilder {
+ FallbackReadBuilder(MessageType type, Map<Integer, ?> idToConstant) {
+ super(type, idToConstant);
+ }
+
+ @Override
+ public ParquetValueReader<?> message(Types.StructType expected,
MessageType message,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ // the top level matches by ID, but the remaining IDs are missing
+ return super.struct(expected, message, fieldReaders);
+ }
+
+ @Override
+ public ParquetValueReader<?> struct(Types.StructType ignored, GroupType
struct,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ // the expected struct is ignored because nested fields are never found
when the
+ List<ParquetValueReader<?>> newFields =
Lists.newArrayListWithExpectedSize(
+ fieldReaders.size());
+ List<Type> types =
Lists.newArrayListWithExpectedSize(fieldReaders.size());
+ List<Type> fields = struct.getFields();
+ for (int i = 0; i < fields.size(); i += 1) {
+ Type fieldType = fields.get(i);
+ int fieldD = type().getMaxDefinitionLevel(path(fieldType.getName())) -
1;
+ newFields.add(ParquetValueReaders.option(fieldType, fieldD,
fieldReaders.get(i)));
+ types.add(fieldType);
+ }
+
+ return new RowDataReader(types, newFields);
+ }
+ }
+
+ private static class ReadBuilder extends
TypeWithSchemaVisitor<ParquetValueReader<?>> {
+ private final MessageType type;
+ private final Map<Integer, ?> idToConstant;
+
+ ReadBuilder(MessageType type, Map<Integer, ?> idToConstant) {
+ this.type = type;
+ this.idToConstant = idToConstant;
+ }
+
+ @Override
+ public ParquetValueReader<?> message(Types.StructType expected,
MessageType message,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ return struct(expected, message.asGroupType(), fieldReaders);
+ }
+
+ @Override
+ public ParquetValueReader<?> struct(Types.StructType expected, GroupType
struct,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ // match the expected struct's order
+ Map<Integer, ParquetValueReader<?>> readersById = Maps.newHashMap();
+ Map<Integer, Type> typesById = Maps.newHashMap();
+ List<Type> fields = struct.getFields();
+ for (int i = 0; i < fields.size(); i += 1) {
+ Type fieldType = fields.get(i);
+ int fieldD = type.getMaxDefinitionLevel(path(fieldType.getName())) - 1;
+ if (fieldType.getId() != null) {
+ int id = fieldType.getId().intValue();
+ readersById.put(id, ParquetValueReaders.option(fieldType, fieldD,
fieldReaders.get(i)));
+ typesById.put(id, fieldType);
+ }
+ }
+
+ List<Types.NestedField> expectedFields = expected != null ?
+ expected.fields() : ImmutableList.of();
+ List<ParquetValueReader<?>> reorderedFields =
Lists.newArrayListWithExpectedSize(
+ expectedFields.size());
+ List<Type> types =
Lists.newArrayListWithExpectedSize(expectedFields.size());
+ for (Types.NestedField field : expectedFields) {
+ int id = field.fieldId();
+ if (idToConstant.containsKey(id)) {
+ // containsKey is used because the constant may be null
+
reorderedFields.add(ParquetValueReaders.constant(idToConstant.get(id)));
+ types.add(null);
+ } else {
+ ParquetValueReader<?> reader = readersById.get(id);
+ if (reader != null) {
+ reorderedFields.add(reader);
+ types.add(typesById.get(id));
+ } else {
+ reorderedFields.add(ParquetValueReaders.nulls());
+ types.add(null);
+ }
+ }
+ }
+
+ return new RowDataReader(types, reorderedFields);
+ }
+
+ @Override
+ public ParquetValueReader<?> list(Types.ListType expectedList, GroupType
array,
+ ParquetValueReader<?> elementReader) {
+ GroupType repeated = array.getFields().get(0).asGroupType();
+ String[] repeatedPath = currentPath();
+
+ int repeatedD = type.getMaxDefinitionLevel(repeatedPath) - 1;
+ int repeatedR = type.getMaxRepetitionLevel(repeatedPath) - 1;
+
+ Type elementType = repeated.getType(0);
+ int elementD = type.getMaxDefinitionLevel(path(elementType.getName())) -
1;
+
+ return new ArrayReader<>(repeatedD, repeatedR,
ParquetValueReaders.option(elementType, elementD, elementReader));
+ }
+
+ @Override
+ public ParquetValueReader<?> map(Types.MapType expectedMap, GroupType map,
+ ParquetValueReader<?> keyReader,
+ ParquetValueReader<?> valueReader) {
+ GroupType repeatedKeyValue = map.getFields().get(0).asGroupType();
+ String[] repeatedPath = currentPath();
+
+ int repeatedD = type.getMaxDefinitionLevel(repeatedPath) - 1;
+ int repeatedR = type.getMaxRepetitionLevel(repeatedPath) - 1;
+
+ Type keyType = repeatedKeyValue.getType(0);
+ int keyD = type.getMaxDefinitionLevel(path(keyType.getName())) - 1;
+ Type valueType = repeatedKeyValue.getType(1);
+ int valueD = type.getMaxDefinitionLevel(path(valueType.getName())) - 1;
+
+ return new MapReader<>(repeatedD, repeatedR,
+ ParquetValueReaders.option(keyType, keyD, keyReader),
+ ParquetValueReaders.option(valueType, valueD, valueReader));
+ }
+
+ @Override
+ public ParquetValueReader<?>
primitive(org.apache.iceberg.types.Type.PrimitiveType expected,
+ PrimitiveType primitive) {
+ ColumnDescriptor desc = type.getColumnDescription(currentPath());
+
+ if (primitive.getOriginalType() != null) {
+ switch (primitive.getOriginalType()) {
+ case ENUM:
+ case JSON:
+ case UTF8:
+ return new StringReader(desc);
+ case INT_8:
+ case INT_16:
+ case INT_32:
+ case TIME_MICROS:
Review comment:
Done. FYI, I discard the microseconds in milliseconds in #1266.
##########
File path:
flink/src/main/java/org/apache/iceberg/flink/data/FlinkParquetReaders.java
##########
@@ -19,64 +19,714 @@
package org.apache.iceberg.flink.data;
+import java.math.BigDecimal;
+import java.math.BigInteger;
+import java.nio.ByteBuffer;
import java.util.List;
-import org.apache.flink.types.Row;
+import java.util.Map;
+import org.apache.commons.lang3.ArrayUtils;
+import org.apache.flink.table.data.ArrayData;
+import org.apache.flink.table.data.DecimalData;
+import org.apache.flink.table.data.GenericRowData;
+import org.apache.flink.table.data.MapData;
+import org.apache.flink.table.data.RawValueData;
+import org.apache.flink.table.data.RowData;
+import org.apache.flink.table.data.StringData;
+import org.apache.flink.table.data.TimestampData;
import org.apache.iceberg.Schema;
-import org.apache.iceberg.data.parquet.BaseParquetReaders;
+import org.apache.iceberg.parquet.ParquetSchemaUtil;
import org.apache.iceberg.parquet.ParquetValueReader;
import org.apache.iceberg.parquet.ParquetValueReaders;
+import org.apache.iceberg.parquet.TypeWithSchemaVisitor;
+import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList;
+import org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.apache.iceberg.relocated.com.google.common.collect.Maps;
import org.apache.iceberg.types.Types;
+import org.apache.parquet.column.ColumnDescriptor;
+import org.apache.parquet.io.api.Binary;
+import org.apache.parquet.schema.GroupType;
+import
org.apache.parquet.schema.LogicalTypeAnnotation.DecimalLogicalTypeAnnotation;
import org.apache.parquet.schema.MessageType;
+import org.apache.parquet.schema.PrimitiveType;
import org.apache.parquet.schema.Type;
-public class FlinkParquetReaders extends BaseParquetReaders<Row> {
+public class FlinkParquetReaders {
+ private FlinkParquetReaders() {
+ }
- private static final FlinkParquetReaders INSTANCE = new
FlinkParquetReaders();
+ public static ParquetValueReader<RowData> buildReader(Schema expectedSchema,
MessageType fileSchema) {
+ return buildReader(expectedSchema, fileSchema, ImmutableMap.of());
+ }
- private FlinkParquetReaders() {
+ @SuppressWarnings("unchecked")
+ public static ParquetValueReader<RowData> buildReader(Schema expectedSchema,
+ MessageType fileSchema,
+ Map<Integer, ?>
idToConstant) {
+ if (ParquetSchemaUtil.hasIds(fileSchema)) {
+ return (ParquetValueReader<RowData>)
+ TypeWithSchemaVisitor.visit(expectedSchema.asStruct(), fileSchema,
+ new ReadBuilder(fileSchema, idToConstant));
+ } else {
+ return (ParquetValueReader<RowData>)
+ TypeWithSchemaVisitor.visit(expectedSchema.asStruct(), fileSchema,
+ new FallbackReadBuilder(fileSchema, idToConstant));
+ }
+ }
+
+ private static class FallbackReadBuilder extends ReadBuilder {
+ FallbackReadBuilder(MessageType type, Map<Integer, ?> idToConstant) {
+ super(type, idToConstant);
+ }
+
+ @Override
+ public ParquetValueReader<?> message(Types.StructType expected,
MessageType message,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ // the top level matches by ID, but the remaining IDs are missing
+ return super.struct(expected, message, fieldReaders);
+ }
+
+ @Override
+ public ParquetValueReader<?> struct(Types.StructType ignored, GroupType
struct,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ // the expected struct is ignored because nested fields are never found
when the
+ List<ParquetValueReader<?>> newFields =
Lists.newArrayListWithExpectedSize(
+ fieldReaders.size());
+ List<Type> types =
Lists.newArrayListWithExpectedSize(fieldReaders.size());
+ List<Type> fields = struct.getFields();
+ for (int i = 0; i < fields.size(); i += 1) {
+ Type fieldType = fields.get(i);
+ int fieldD = type().getMaxDefinitionLevel(path(fieldType.getName())) -
1;
+ newFields.add(ParquetValueReaders.option(fieldType, fieldD,
fieldReaders.get(i)));
+ types.add(fieldType);
+ }
+
+ return new RowDataReader(types, newFields);
+ }
+ }
+
+ private static class ReadBuilder extends
TypeWithSchemaVisitor<ParquetValueReader<?>> {
+ private final MessageType type;
+ private final Map<Integer, ?> idToConstant;
+
+ ReadBuilder(MessageType type, Map<Integer, ?> idToConstant) {
+ this.type = type;
+ this.idToConstant = idToConstant;
+ }
+
+ @Override
+ public ParquetValueReader<?> message(Types.StructType expected,
MessageType message,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ return struct(expected, message.asGroupType(), fieldReaders);
+ }
+
+ @Override
+ public ParquetValueReader<?> struct(Types.StructType expected, GroupType
struct,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ // match the expected struct's order
+ Map<Integer, ParquetValueReader<?>> readersById = Maps.newHashMap();
+ Map<Integer, Type> typesById = Maps.newHashMap();
+ List<Type> fields = struct.getFields();
+ for (int i = 0; i < fields.size(); i += 1) {
+ Type fieldType = fields.get(i);
+ int fieldD = type.getMaxDefinitionLevel(path(fieldType.getName())) - 1;
+ if (fieldType.getId() != null) {
+ int id = fieldType.getId().intValue();
+ readersById.put(id, ParquetValueReaders.option(fieldType, fieldD,
fieldReaders.get(i)));
+ typesById.put(id, fieldType);
+ }
+ }
+
+ List<Types.NestedField> expectedFields = expected != null ?
+ expected.fields() : ImmutableList.of();
+ List<ParquetValueReader<?>> reorderedFields =
Lists.newArrayListWithExpectedSize(
+ expectedFields.size());
+ List<Type> types =
Lists.newArrayListWithExpectedSize(expectedFields.size());
+ for (Types.NestedField field : expectedFields) {
+ int id = field.fieldId();
+ if (idToConstant.containsKey(id)) {
+ // containsKey is used because the constant may be null
+
reorderedFields.add(ParquetValueReaders.constant(idToConstant.get(id)));
+ types.add(null);
+ } else {
+ ParquetValueReader<?> reader = readersById.get(id);
+ if (reader != null) {
+ reorderedFields.add(reader);
+ types.add(typesById.get(id));
+ } else {
+ reorderedFields.add(ParquetValueReaders.nulls());
+ types.add(null);
+ }
+ }
+ }
+
+ return new RowDataReader(types, reorderedFields);
+ }
+
+ @Override
+ public ParquetValueReader<?> list(Types.ListType expectedList, GroupType
array,
+ ParquetValueReader<?> elementReader) {
+ GroupType repeated = array.getFields().get(0).asGroupType();
+ String[] repeatedPath = currentPath();
+
+ int repeatedD = type.getMaxDefinitionLevel(repeatedPath) - 1;
+ int repeatedR = type.getMaxRepetitionLevel(repeatedPath) - 1;
+
+ Type elementType = repeated.getType(0);
+ int elementD = type.getMaxDefinitionLevel(path(elementType.getName())) -
1;
+
+ return new ArrayReader<>(repeatedD, repeatedR,
ParquetValueReaders.option(elementType, elementD, elementReader));
+ }
+
+ @Override
+ public ParquetValueReader<?> map(Types.MapType expectedMap, GroupType map,
+ ParquetValueReader<?> keyReader,
+ ParquetValueReader<?> valueReader) {
+ GroupType repeatedKeyValue = map.getFields().get(0).asGroupType();
+ String[] repeatedPath = currentPath();
+
+ int repeatedD = type.getMaxDefinitionLevel(repeatedPath) - 1;
+ int repeatedR = type.getMaxRepetitionLevel(repeatedPath) - 1;
+
+ Type keyType = repeatedKeyValue.getType(0);
+ int keyD = type.getMaxDefinitionLevel(path(keyType.getName())) - 1;
+ Type valueType = repeatedKeyValue.getType(1);
+ int valueD = type.getMaxDefinitionLevel(path(valueType.getName())) - 1;
+
+ return new MapReader<>(repeatedD, repeatedR,
+ ParquetValueReaders.option(keyType, keyD, keyReader),
+ ParquetValueReaders.option(valueType, valueD, valueReader));
+ }
+
+ @Override
+ public ParquetValueReader<?>
primitive(org.apache.iceberg.types.Type.PrimitiveType expected,
+ PrimitiveType primitive) {
+ ColumnDescriptor desc = type.getColumnDescription(currentPath());
+
+ if (primitive.getOriginalType() != null) {
+ switch (primitive.getOriginalType()) {
+ case ENUM:
+ case JSON:
+ case UTF8:
+ return new StringReader(desc);
+ case INT_8:
+ case INT_16:
+ case INT_32:
+ case TIME_MICROS:
+ case DATE:
+ if (expected != null && expected.typeId() ==
Types.LongType.get().typeId()) {
+ return new ParquetValueReaders.IntAsLongReader(desc);
+ } else {
+ return new ParquetValueReaders.UnboxedReader<>(desc);
+ }
+ case INT_64:
+ case TIMESTAMP_MICROS:
+ return new TimestampMicroReader(desc);
+ case DECIMAL:
+ DecimalLogicalTypeAnnotation decimal =
(DecimalLogicalTypeAnnotation) primitive.getLogicalTypeAnnotation();
+ switch (primitive.getPrimitiveTypeName()) {
+ case BINARY:
+ case FIXED_LEN_BYTE_ARRAY:
+ return new BinaryDecimalReader(desc, decimal.getScale());
+ case INT64:
+ return new LongDecimalReader(desc, decimal.getPrecision(),
decimal.getScale());
+ case INT32:
+ return new IntegerDecimalReader(desc, decimal.getPrecision(),
decimal.getScale());
+ default:
+ throw new UnsupportedOperationException(
+ "Unsupported base type for decimal: " +
primitive.getPrimitiveTypeName());
+ }
+ case BSON:
+ return new BytesReader(desc);
+ default:
+ throw new UnsupportedOperationException(
+ "Unsupported logical type: " + primitive.getOriginalType());
+ }
+ }
+
+ switch (primitive.getPrimitiveTypeName()) {
+ case FIXED_LEN_BYTE_ARRAY:
+ case BINARY:
+ return new BytesReader(desc);
+ case INT32:
+ if (expected != null && expected.typeId() ==
org.apache.iceberg.types.Type.TypeID.LONG) {
+ return new ParquetValueReaders.IntAsLongReader(desc);
+ } else {
+ return new ParquetValueReaders.UnboxedReader<>(desc);
+ }
+ case FLOAT:
+ if (expected != null && expected.typeId() ==
org.apache.iceberg.types.Type.TypeID.DOUBLE) {
+ return new ParquetValueReaders.FloatAsDoubleReader(desc);
+ } else {
+ return new ParquetValueReaders.UnboxedReader<>(desc);
+ }
+ case BOOLEAN:
+ case INT64:
+ case DOUBLE:
+ return new ParquetValueReaders.UnboxedReader<>(desc);
+ default:
+ throw new UnsupportedOperationException("Unsupported type: " +
primitive);
+ }
+ }
+
+ protected MessageType type() {
+ return type;
+ }
+ }
+
+ private static class BinaryDecimalReader extends
ParquetValueReaders.PrimitiveReader<DecimalData> {
+ private final int scale;
+
+ BinaryDecimalReader(ColumnDescriptor desc, int scale) {
+ super(desc);
+ this.scale = scale;
+ }
+
+ @Override
+ public DecimalData read(DecimalData ignored) {
+ Binary binary = column.nextBinary();
+ BigDecimal bigDecimal = new BigDecimal(new
BigInteger(binary.getBytes()), scale);
+ return DecimalData.fromBigDecimal(bigDecimal, bigDecimal.precision(),
scale);
+ }
+ }
+
+ private static class IntegerDecimalReader extends
ParquetValueReaders.PrimitiveReader<DecimalData> {
+ private final int precision;
+ private final int scale;
+
+ IntegerDecimalReader(ColumnDescriptor desc, int precision, int scale) {
+ super(desc);
+ this.precision = precision;
+ this.scale = scale;
+ }
+
+ @Override
+ public DecimalData read(DecimalData ignored) {
+ return DecimalData.fromUnscaledLong(column.nextInteger(), precision,
scale);
+ }
+ }
+
+ private static class LongDecimalReader extends
ParquetValueReaders.PrimitiveReader<DecimalData> {
+ private final int precision;
+ private final int scale;
+
+ LongDecimalReader(ColumnDescriptor desc, int precision, int scale) {
+ super(desc);
+ this.precision = precision;
+ this.scale = scale;
+ }
+
+ @Override
+ public DecimalData read(DecimalData ignored) {
+ return DecimalData.fromUnscaledLong(column.nextLong(), precision, scale);
+ }
+ }
+
+ private static class TimestampMicroReader extends
ParquetValueReaders.UnboxedReader<TimestampData> {
+ TimestampMicroReader(ColumnDescriptor desc) {
+ super(desc);
+ }
+
+ @Override
+ public TimestampData read(TimestampData ignored) {
+ return TimestampData.fromEpochMillis(readLong() / 1000);
Review comment:
Done.
##########
File path:
flink/src/main/java/org/apache/iceberg/flink/data/FlinkParquetWriters.java
##########
@@ -19,38 +19,439 @@
package org.apache.iceberg.flink.data;
+import java.math.BigDecimal;
+import java.util.Iterator;
import java.util.List;
-import org.apache.flink.types.Row;
-import org.apache.iceberg.data.parquet.BaseParquetWriter;
+import java.util.Map;
+import java.util.NoSuchElementException;
+import org.apache.flink.table.data.ArrayData;
+import org.apache.flink.table.data.DecimalData;
+import org.apache.flink.table.data.MapData;
+import org.apache.flink.table.data.RowData;
+import org.apache.flink.table.data.StringData;
+import org.apache.flink.table.data.TimestampData;
+import org.apache.flink.table.types.logical.ArrayType;
+import org.apache.flink.table.types.logical.LogicalType;
+import org.apache.flink.table.types.logical.MapType;
+import org.apache.flink.table.types.logical.RowType;
+import org.apache.flink.table.types.logical.RowType.RowField;
+import org.apache.flink.table.types.logical.SmallIntType;
+import org.apache.flink.table.types.logical.TinyIntType;
+import org.apache.iceberg.parquet.ParquetValueReaders;
import org.apache.iceberg.parquet.ParquetValueWriter;
import org.apache.iceberg.parquet.ParquetValueWriters;
+import org.apache.iceberg.relocated.com.google.common.base.Preconditions;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.apache.iceberg.types.TypeUtil;
+import org.apache.parquet.column.ColumnDescriptor;
+import org.apache.parquet.io.api.Binary;
+import org.apache.parquet.schema.GroupType;
+import
org.apache.parquet.schema.LogicalTypeAnnotation.DecimalLogicalTypeAnnotation;
import org.apache.parquet.schema.MessageType;
+import org.apache.parquet.schema.PrimitiveType;
+import org.apache.parquet.schema.Type;
-public class FlinkParquetWriters extends BaseParquetWriter<Row> {
+public class FlinkParquetWriters {
+ private FlinkParquetWriters() {
+ }
- private static final FlinkParquetWriters INSTANCE = new
FlinkParquetWriters();
+ @SuppressWarnings("unchecked")
+ public static <T> ParquetValueWriter<T> buildWriter(LogicalType schema,
MessageType type) {
+ return (ParquetValueWriter<T>) ParquetWithFlinkSchemaVisitor.visit(schema,
type, new WriteBuilder(type));
+ }
- private FlinkParquetWriters() {
+ private static class WriteBuilder extends
ParquetWithFlinkSchemaVisitor<ParquetValueWriter<?>> {
+ private final MessageType type;
+
+ WriteBuilder(MessageType type) {
+ this.type = type;
+ }
+
+ @Override
+ public ParquetValueWriter<?> message(RowType sStruct, MessageType message,
List<ParquetValueWriter<?>> fields) {
+ return struct(sStruct, message.asGroupType(), fields);
+ }
+
+ @Override
+ public ParquetValueWriter<?> struct(RowType sStruct, GroupType struct,
+ List<ParquetValueWriter<?>>
fieldWriters) {
+ List<Type> fields = struct.getFields();
+ List<RowField> flinkFields = sStruct.getFields();
+ List<ParquetValueWriter<?>> writers =
Lists.newArrayListWithExpectedSize(fieldWriters.size());
+ List<LogicalType> flinkTypes = Lists.newArrayList();
+ for (int i = 0; i < fields.size(); i += 1) {
+ writers.add(newOption(struct.getType(i), fieldWriters.get(i)));
+ flinkTypes.add(flinkFields.get(i).getType());
+ }
+
+ return new RowDataWriter(writers, flinkTypes);
+ }
+
+ @Override
+ public ParquetValueWriter<?> list(ArrayType sArray, GroupType array,
ParquetValueWriter<?> elementWriter) {
+ GroupType repeated = array.getFields().get(0).asGroupType();
+ String[] repeatedPath = currentPath();
+
+ int repeatedD = type.getMaxDefinitionLevel(repeatedPath);
+ int repeatedR = type.getMaxRepetitionLevel(repeatedPath);
+
+ return new ArrayDataWriter<>(repeatedD, repeatedR,
+ newOption(repeated.getType(0), elementWriter),
+ sArray.getElementType());
+ }
+
+ @Override
+ public ParquetValueWriter<?> map(MapType sMap, GroupType map,
+ ParquetValueWriter<?> keyWriter,
ParquetValueWriter<?> valueWriter) {
+ GroupType repeatedKeyValue = map.getFields().get(0).asGroupType();
+ String[] repeatedPath = currentPath();
+
+ int repeatedD = type.getMaxDefinitionLevel(repeatedPath);
+ int repeatedR = type.getMaxRepetitionLevel(repeatedPath);
+
+ return new MapDataWriter<>(repeatedD, repeatedR,
+ newOption(repeatedKeyValue.getType(0), keyWriter),
+ newOption(repeatedKeyValue.getType(1), valueWriter),
+ sMap.getKeyType(), sMap.getValueType());
+ }
+
+
+ private ParquetValueWriter<?> newOption(org.apache.parquet.schema.Type
fieldType, ParquetValueWriter<?> writer) {
+ int maxD = type.getMaxDefinitionLevel(path(fieldType.getName()));
+ return ParquetValueWriters.option(fieldType, maxD, writer);
+ }
+
+ @Override
+ public ParquetValueWriter<?> primitive(LogicalType sType, PrimitiveType
primitive) {
+ ColumnDescriptor desc = type.getColumnDescription(currentPath());
+
+ if (primitive.getOriginalType() != null) {
+ switch (primitive.getOriginalType()) {
+ case ENUM:
+ case JSON:
+ case UTF8:
+ return strings(desc);
+ case DATE:
+ case INT_8:
+ case INT_16:
+ case INT_32:
+ case TIME_MICROS:
Review comment:
Will update in the writer side PR.
##########
File path:
flink/src/main/java/org/apache/iceberg/flink/data/FlinkParquetReaders.java
##########
@@ -19,64 +19,714 @@
package org.apache.iceberg.flink.data;
+import java.math.BigDecimal;
+import java.math.BigInteger;
+import java.nio.ByteBuffer;
import java.util.List;
-import org.apache.flink.types.Row;
+import java.util.Map;
+import org.apache.commons.lang3.ArrayUtils;
+import org.apache.flink.table.data.ArrayData;
+import org.apache.flink.table.data.DecimalData;
+import org.apache.flink.table.data.GenericRowData;
+import org.apache.flink.table.data.MapData;
+import org.apache.flink.table.data.RawValueData;
+import org.apache.flink.table.data.RowData;
+import org.apache.flink.table.data.StringData;
+import org.apache.flink.table.data.TimestampData;
import org.apache.iceberg.Schema;
-import org.apache.iceberg.data.parquet.BaseParquetReaders;
+import org.apache.iceberg.parquet.ParquetSchemaUtil;
import org.apache.iceberg.parquet.ParquetValueReader;
import org.apache.iceberg.parquet.ParquetValueReaders;
+import org.apache.iceberg.parquet.TypeWithSchemaVisitor;
+import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList;
+import org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.apache.iceberg.relocated.com.google.common.collect.Maps;
import org.apache.iceberg.types.Types;
+import org.apache.parquet.column.ColumnDescriptor;
+import org.apache.parquet.io.api.Binary;
+import org.apache.parquet.schema.GroupType;
+import
org.apache.parquet.schema.LogicalTypeAnnotation.DecimalLogicalTypeAnnotation;
import org.apache.parquet.schema.MessageType;
+import org.apache.parquet.schema.PrimitiveType;
import org.apache.parquet.schema.Type;
-public class FlinkParquetReaders extends BaseParquetReaders<Row> {
+public class FlinkParquetReaders {
+ private FlinkParquetReaders() {
+ }
- private static final FlinkParquetReaders INSTANCE = new
FlinkParquetReaders();
+ public static ParquetValueReader<RowData> buildReader(Schema expectedSchema,
MessageType fileSchema) {
+ return buildReader(expectedSchema, fileSchema, ImmutableMap.of());
+ }
- private FlinkParquetReaders() {
+ @SuppressWarnings("unchecked")
+ public static ParquetValueReader<RowData> buildReader(Schema expectedSchema,
+ MessageType fileSchema,
+ Map<Integer, ?>
idToConstant) {
+ if (ParquetSchemaUtil.hasIds(fileSchema)) {
+ return (ParquetValueReader<RowData>)
+ TypeWithSchemaVisitor.visit(expectedSchema.asStruct(), fileSchema,
+ new ReadBuilder(fileSchema, idToConstant));
+ } else {
+ return (ParquetValueReader<RowData>)
+ TypeWithSchemaVisitor.visit(expectedSchema.asStruct(), fileSchema,
+ new FallbackReadBuilder(fileSchema, idToConstant));
+ }
+ }
+
+ private static class FallbackReadBuilder extends ReadBuilder {
+ FallbackReadBuilder(MessageType type, Map<Integer, ?> idToConstant) {
+ super(type, idToConstant);
+ }
+
+ @Override
+ public ParquetValueReader<?> message(Types.StructType expected,
MessageType message,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ // the top level matches by ID, but the remaining IDs are missing
+ return super.struct(expected, message, fieldReaders);
+ }
+
+ @Override
+ public ParquetValueReader<?> struct(Types.StructType ignored, GroupType
struct,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ // the expected struct is ignored because nested fields are never found
when the
+ List<ParquetValueReader<?>> newFields =
Lists.newArrayListWithExpectedSize(
+ fieldReaders.size());
+ List<Type> types =
Lists.newArrayListWithExpectedSize(fieldReaders.size());
+ List<Type> fields = struct.getFields();
+ for (int i = 0; i < fields.size(); i += 1) {
+ Type fieldType = fields.get(i);
+ int fieldD = type().getMaxDefinitionLevel(path(fieldType.getName())) -
1;
+ newFields.add(ParquetValueReaders.option(fieldType, fieldD,
fieldReaders.get(i)));
+ types.add(fieldType);
+ }
+
+ return new RowDataReader(types, newFields);
+ }
+ }
+
+ private static class ReadBuilder extends
TypeWithSchemaVisitor<ParquetValueReader<?>> {
+ private final MessageType type;
+ private final Map<Integer, ?> idToConstant;
+
+ ReadBuilder(MessageType type, Map<Integer, ?> idToConstant) {
+ this.type = type;
+ this.idToConstant = idToConstant;
+ }
+
+ @Override
+ public ParquetValueReader<?> message(Types.StructType expected,
MessageType message,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ return struct(expected, message.asGroupType(), fieldReaders);
+ }
+
+ @Override
+ public ParquetValueReader<?> struct(Types.StructType expected, GroupType
struct,
+ List<ParquetValueReader<?>>
fieldReaders) {
+ // match the expected struct's order
+ Map<Integer, ParquetValueReader<?>> readersById = Maps.newHashMap();
+ Map<Integer, Type> typesById = Maps.newHashMap();
+ List<Type> fields = struct.getFields();
+ for (int i = 0; i < fields.size(); i += 1) {
+ Type fieldType = fields.get(i);
+ int fieldD = type.getMaxDefinitionLevel(path(fieldType.getName())) - 1;
+ if (fieldType.getId() != null) {
+ int id = fieldType.getId().intValue();
+ readersById.put(id, ParquetValueReaders.option(fieldType, fieldD,
fieldReaders.get(i)));
+ typesById.put(id, fieldType);
+ }
+ }
+
+ List<Types.NestedField> expectedFields = expected != null ?
+ expected.fields() : ImmutableList.of();
+ List<ParquetValueReader<?>> reorderedFields =
Lists.newArrayListWithExpectedSize(
+ expectedFields.size());
+ List<Type> types =
Lists.newArrayListWithExpectedSize(expectedFields.size());
+ for (Types.NestedField field : expectedFields) {
+ int id = field.fieldId();
+ if (idToConstant.containsKey(id)) {
+ // containsKey is used because the constant may be null
+
reorderedFields.add(ParquetValueReaders.constant(idToConstant.get(id)));
+ types.add(null);
+ } else {
+ ParquetValueReader<?> reader = readersById.get(id);
+ if (reader != null) {
+ reorderedFields.add(reader);
+ types.add(typesById.get(id));
+ } else {
+ reorderedFields.add(ParquetValueReaders.nulls());
+ types.add(null);
+ }
+ }
+ }
+
+ return new RowDataReader(types, reorderedFields);
+ }
+
+ @Override
+ public ParquetValueReader<?> list(Types.ListType expectedList, GroupType
array,
+ ParquetValueReader<?> elementReader) {
+ GroupType repeated = array.getFields().get(0).asGroupType();
+ String[] repeatedPath = currentPath();
+
+ int repeatedD = type.getMaxDefinitionLevel(repeatedPath) - 1;
+ int repeatedR = type.getMaxRepetitionLevel(repeatedPath) - 1;
+
+ Type elementType = repeated.getType(0);
+ int elementD = type.getMaxDefinitionLevel(path(elementType.getName())) -
1;
+
+ return new ArrayReader<>(repeatedD, repeatedR,
ParquetValueReaders.option(elementType, elementD, elementReader));
+ }
+
+ @Override
+ public ParquetValueReader<?> map(Types.MapType expectedMap, GroupType map,
+ ParquetValueReader<?> keyReader,
+ ParquetValueReader<?> valueReader) {
+ GroupType repeatedKeyValue = map.getFields().get(0).asGroupType();
+ String[] repeatedPath = currentPath();
+
+ int repeatedD = type.getMaxDefinitionLevel(repeatedPath) - 1;
+ int repeatedR = type.getMaxRepetitionLevel(repeatedPath) - 1;
+
+ Type keyType = repeatedKeyValue.getType(0);
+ int keyD = type.getMaxDefinitionLevel(path(keyType.getName())) - 1;
+ Type valueType = repeatedKeyValue.getType(1);
+ int valueD = type.getMaxDefinitionLevel(path(valueType.getName())) - 1;
+
+ return new MapReader<>(repeatedD, repeatedR,
+ ParquetValueReaders.option(keyType, keyD, keyReader),
+ ParquetValueReaders.option(valueType, valueD, valueReader));
+ }
+
+ @Override
+ public ParquetValueReader<?>
primitive(org.apache.iceberg.types.Type.PrimitiveType expected,
+ PrimitiveType primitive) {
+ ColumnDescriptor desc = type.getColumnDescription(currentPath());
+
+ if (primitive.getOriginalType() != null) {
+ switch (primitive.getOriginalType()) {
+ case ENUM:
+ case JSON:
+ case UTF8:
+ return new StringReader(desc);
+ case INT_8:
+ case INT_16:
+ case INT_32:
+ case TIME_MICROS:
+ case DATE:
+ if (expected != null && expected.typeId() ==
Types.LongType.get().typeId()) {
+ return new ParquetValueReaders.IntAsLongReader(desc);
+ } else {
+ return new ParquetValueReaders.UnboxedReader<>(desc);
+ }
+ case INT_64:
+ case TIMESTAMP_MICROS:
+ return new TimestampMicroReader(desc);
+ case DECIMAL:
+ DecimalLogicalTypeAnnotation decimal =
(DecimalLogicalTypeAnnotation) primitive.getLogicalTypeAnnotation();
+ switch (primitive.getPrimitiveTypeName()) {
+ case BINARY:
+ case FIXED_LEN_BYTE_ARRAY:
+ return new BinaryDecimalReader(desc, decimal.getScale());
+ case INT64:
+ return new LongDecimalReader(desc, decimal.getPrecision(),
decimal.getScale());
+ case INT32:
+ return new IntegerDecimalReader(desc, decimal.getPrecision(),
decimal.getScale());
+ default:
+ throw new UnsupportedOperationException(
+ "Unsupported base type for decimal: " +
primitive.getPrimitiveTypeName());
+ }
+ case BSON:
+ return new BytesReader(desc);
+ default:
+ throw new UnsupportedOperationException(
+ "Unsupported logical type: " + primitive.getOriginalType());
+ }
+ }
+
+ switch (primitive.getPrimitiveTypeName()) {
+ case FIXED_LEN_BYTE_ARRAY:
+ case BINARY:
+ return new BytesReader(desc);
+ case INT32:
+ if (expected != null && expected.typeId() ==
org.apache.iceberg.types.Type.TypeID.LONG) {
+ return new ParquetValueReaders.IntAsLongReader(desc);
+ } else {
+ return new ParquetValueReaders.UnboxedReader<>(desc);
+ }
+ case FLOAT:
+ if (expected != null && expected.typeId() ==
org.apache.iceberg.types.Type.TypeID.DOUBLE) {
+ return new ParquetValueReaders.FloatAsDoubleReader(desc);
+ } else {
+ return new ParquetValueReaders.UnboxedReader<>(desc);
+ }
+ case BOOLEAN:
+ case INT64:
+ case DOUBLE:
+ return new ParquetValueReaders.UnboxedReader<>(desc);
+ default:
+ throw new UnsupportedOperationException("Unsupported type: " +
primitive);
+ }
+ }
+
+ protected MessageType type() {
+ return type;
+ }
+ }
+
+ private static class BinaryDecimalReader extends
ParquetValueReaders.PrimitiveReader<DecimalData> {
+ private final int scale;
+
+ BinaryDecimalReader(ColumnDescriptor desc, int scale) {
+ super(desc);
+ this.scale = scale;
+ }
+
+ @Override
+ public DecimalData read(DecimalData ignored) {
+ Binary binary = column.nextBinary();
+ BigDecimal bigDecimal = new BigDecimal(new
BigInteger(binary.getBytes()), scale);
+ return DecimalData.fromBigDecimal(bigDecimal, bigDecimal.precision(),
scale);
+ }
+ }
+
+ private static class IntegerDecimalReader extends
ParquetValueReaders.PrimitiveReader<DecimalData> {
+ private final int precision;
+ private final int scale;
+
+ IntegerDecimalReader(ColumnDescriptor desc, int precision, int scale) {
+ super(desc);
+ this.precision = precision;
+ this.scale = scale;
+ }
+
+ @Override
+ public DecimalData read(DecimalData ignored) {
+ return DecimalData.fromUnscaledLong(column.nextInteger(), precision,
scale);
+ }
+ }
+
+ private static class LongDecimalReader extends
ParquetValueReaders.PrimitiveReader<DecimalData> {
+ private final int precision;
+ private final int scale;
+
+ LongDecimalReader(ColumnDescriptor desc, int precision, int scale) {
+ super(desc);
+ this.precision = precision;
+ this.scale = scale;
+ }
+
+ @Override
+ public DecimalData read(DecimalData ignored) {
+ return DecimalData.fromUnscaledLong(column.nextLong(), precision, scale);
+ }
+ }
+
+ private static class TimestampMicroReader extends
ParquetValueReaders.UnboxedReader<TimestampData> {
+ TimestampMicroReader(ColumnDescriptor desc) {
+ super(desc);
+ }
+
+ @Override
+ public TimestampData read(TimestampData ignored) {
+ return TimestampData.fromEpochMillis(readLong() / 1000);
+ }
+
+ @Override
+ public long readLong() {
+ return column.nextLong();
+ }
+ }
+
+ private static class StringReader extends
ParquetValueReaders.PrimitiveReader<StringData> {
+ StringReader(ColumnDescriptor desc) {
+ super(desc);
+ }
+
+ @Override
+ public StringData read(StringData ignored) {
+ Binary binary = column.nextBinary();
+ ByteBuffer buffer = binary.toByteBuffer();
+ if (buffer.hasArray()) {
+ return StringData.fromBytes(
+ buffer.array(), buffer.arrayOffset() + buffer.position(),
buffer.remaining());
+ } else {
+ return StringData.fromBytes(binary.getBytes());
+ }
+ }
}
- public static ParquetValueReader<Row> buildReader(Schema expectedSchema,
MessageType fileSchema) {
- return INSTANCE.createReader(expectedSchema, fileSchema);
+ private static class BytesReader extends
ParquetValueReaders.PrimitiveReader<byte[]> {
Review comment:
Done.
##########
File path:
flink/src/test/java/org/apache/iceberg/flink/data/TestFlinkParquetReaderWriter.java
##########
@@ -41,34 +47,193 @@
@Rule
public TemporaryFolder temp = new TemporaryFolder();
- private void testCorrectness(Schema schema, int numRecords, Iterable<Row>
iterable) throws IOException {
+ private void testCorrectness(Schema schema, int numRecords,
Iterable<RowData> iterable) throws IOException {
File testFile = temp.newFile();
Assert.assertTrue("Delete should succeed", testFile.delete());
- try (FileAppender<Row> writer = Parquet.write(Files.localOutput(testFile))
+ try (FileAppender<RowData> writer =
Parquet.write(Files.localOutput(testFile))
.schema(schema)
- .createWriterFunc(FlinkParquetWriters::buildWriter)
+ .createWriterFunc(msgType ->
FlinkParquetWriters.buildWriter(FlinkSchemaUtil.convert(schema), msgType))
.build()) {
writer.addAll(iterable);
}
- try (CloseableIterable<Row> reader =
Parquet.read(Files.localInput(testFile))
+ try (CloseableIterable<RowData> reader =
Parquet.read(Files.localInput(testFile))
.project(schema)
.createReaderFunc(type -> FlinkParquetReaders.buildReader(schema,
type))
.build()) {
- Iterator<Row> expected = iterable.iterator();
- Iterator<Row> rows = reader.iterator();
+ Iterator<RowData> expected = iterable.iterator();
+ Iterator<RowData> rows = reader.iterator();
for (int i = 0; i < numRecords; i += 1) {
Assert.assertTrue("Should have expected number of rows",
rows.hasNext());
- Assert.assertEquals(expected.next(), rows.next());
+ assertRowData(schema.asStruct(), expected.next(), rows.next());
}
Assert.assertFalse("Should not have extra rows", rows.hasNext());
}
}
+ private void assertRowData(Type type, RowData expected, RowData actual) {
Review comment:
Done.
##########
File path: flink/src/test/java/org/apache/iceberg/flink/data/RandomData.java
##########
@@ -88,20 +102,151 @@ public Row next() {
};
}
+ private static Iterable<RowData> generateRowData(Schema schema, int
numRecords,
+
Supplier<RandomRowDataGenerator> supplier) {
+ return () -> new Iterator<RowData>() {
+ private final RandomRowDataGenerator generator = supplier.get();
+ private int count = 0;
+
+ @Override
+ public boolean hasNext() {
+ return count < numRecords;
+ }
+
+ @Override
+ public RowData next() {
+ if (!hasNext()) {
+ throw new NoSuchElementException();
+ }
+ ++count;
+ return (RowData) TypeUtil.visit(schema, generator);
+ }
+ };
+ }
+
+ public static Iterable<RowData> generateRowData(Schema schema, int
numRecords, long seed) {
+ return generateRowData(schema, numRecords, () -> new
RandomRowDataGenerator(seed));
+ }
+
public static Iterable<Row> generate(Schema schema, int numRecords, long
seed) {
return generateData(schema, numRecords, () -> new
RandomRowGenerator(seed));
}
- public static Iterable<Row> generateFallbackData(Schema schema, int
numRecords, long seed, long numDictRows) {
- return generateData(schema, numRecords, () -> new FallbackGenerator(seed,
numDictRows));
+ public static Iterable<RowData> generateFallbackData(Schema schema, int
numRecords, long seed, long numDictRows) {
+ return generateRowData(schema, numRecords, () -> new
FallbackGenerator(seed, numDictRows));
}
- public static Iterable<Row> generateDictionaryEncodableData(Schema schema,
int numRecords, long seed) {
- return generateData(schema, numRecords, () -> new
DictionaryEncodedGenerator(seed));
+ public static Iterable<RowData> generateDictionaryEncodableData(Schema
schema, int numRecords, long seed) {
+ return generateRowData(schema, numRecords, () -> new
DictionaryEncodedGenerator(seed));
}
- private static class RandomRowGenerator extends
RandomGenericData.RandomDataGenerator<Row> {
+ private static class RandomRowDataGenerator extends
TypeUtil.CustomOrderSchemaVisitor<Object> {
Review comment:
Done. Now it writes generics in parquet files and readout through Flink
parquet reader, and compare the `Record` with `RowData`.
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