Examples with ProjectableDecodingFormat org.apache.flink.table.connector.format.ProjectableDecodingFormat used on opensource projects

Example 1 with ProjectableDecodingFormat

use of org.apache.flink.table.connector.format.ProjectableDecodingFormat in project flink by apache.

the class AvroFormatFactory method createDecodingFormat.

@Override
public DecodingFormat<DeserializationSchema<RowData>> createDecodingFormat(DynamicTableFactory.Context context, ReadableConfig formatOptions) {
    FactoryUtil.validateFactoryOptions(this, formatOptions);
    return new ProjectableDecodingFormat<DeserializationSchema<RowData>>() {

        @Override
        public DeserializationSchema<RowData> createRuntimeDecoder(DynamicTableSource.Context context, DataType physicalDataType, int[][] projections) {
            final DataType producedDataType = Projection.of(projections).project(physicalDataType);
            final RowType rowType = (RowType) producedDataType.getLogicalType();
            final TypeInformation<RowData> rowDataTypeInfo = context.createTypeInformation(producedDataType);
            return new AvroRowDataDeserializationSchema(rowType, rowDataTypeInfo);
        }

        @Override
        public ChangelogMode getChangelogMode() {
            return ChangelogMode.insertOnly();
        }
    };
}

Example 2 with ProjectableDecodingFormat

use of org.apache.flink.table.connector.format.ProjectableDecodingFormat in project flink by apache.

the class RegistryAvroFormatFactory method createDecodingFormat.

@Override
public DecodingFormat<DeserializationSchema<RowData>> createDecodingFormat(DynamicTableFactory.Context context, ReadableConfig formatOptions) {
    FactoryUtil.validateFactoryOptions(this, formatOptions);
    String schemaRegistryURL = formatOptions.get(URL);
    Map<String, ?> optionalPropertiesMap = buildOptionalPropertiesMap(formatOptions);
    return new ProjectableDecodingFormat<DeserializationSchema<RowData>>() {

        @Override
        public DeserializationSchema<RowData> createRuntimeDecoder(DynamicTableSource.Context context, DataType producedDataType, int[][] projections) {
            producedDataType = Projection.of(projections).project(producedDataType);
            final RowType rowType = (RowType) producedDataType.getLogicalType();
            final TypeInformation<RowData> rowDataTypeInfo = context.createTypeInformation(producedDataType);
            return new AvroRowDataDeserializationSchema(ConfluentRegistryAvroDeserializationSchema.forGeneric(AvroSchemaConverter.convertToSchema(rowType), schemaRegistryURL, optionalPropertiesMap), AvroToRowDataConverters.createRowConverter(rowType), rowDataTypeInfo);
        }

        @Override
        public ChangelogMode getChangelogMode() {
            return ChangelogMode.insertOnly();
        }
    };
}

Example 3 with ProjectableDecodingFormat

use of org.apache.flink.table.connector.format.ProjectableDecodingFormat in project flink by apache.

the class DebeziumAvroFormatFactory method createDecodingFormat.

@Override
public DecodingFormat<DeserializationSchema<RowData>> createDecodingFormat(DynamicTableFactory.Context context, ReadableConfig formatOptions) {
    FactoryUtil.validateFactoryOptions(this, formatOptions);
    String schemaRegistryURL = formatOptions.get(URL);
    Map<String, ?> optionalPropertiesMap = buildOptionalPropertiesMap(formatOptions);
    return new ProjectableDecodingFormat<DeserializationSchema<RowData>>() {

        @Override
        public DeserializationSchema<RowData> createRuntimeDecoder(DynamicTableSource.Context context, DataType producedDataType, int[][] projections) {
            producedDataType = Projection.of(projections).project(producedDataType);
            final RowType rowType = (RowType) producedDataType.getLogicalType();
            final TypeInformation<RowData> producedTypeInfo = context.createTypeInformation(producedDataType);
            return new DebeziumAvroDeserializationSchema(rowType, producedTypeInfo, schemaRegistryURL, optionalPropertiesMap);
        }

        @Override
        public ChangelogMode getChangelogMode() {
            return ChangelogMode.newBuilder().addContainedKind(RowKind.INSERT).addContainedKind(RowKind.UPDATE_BEFORE).addContainedKind(RowKind.UPDATE_AFTER).addContainedKind(RowKind.DELETE).build();
        }
    };
}

Example 4 with ProjectableDecodingFormat

use of org.apache.flink.table.connector.format.ProjectableDecodingFormat in project flink by apache.

the class JsonFormatFactory method createDecodingFormat.

@Override
public DecodingFormat<DeserializationSchema<RowData>> createDecodingFormat(DynamicTableFactory.Context context, ReadableConfig formatOptions) {
    FactoryUtil.validateFactoryOptions(this, formatOptions);
    JsonFormatOptionsUtil.validateDecodingFormatOptions(formatOptions);
    final boolean failOnMissingField = formatOptions.get(FAIL_ON_MISSING_FIELD);
    final boolean ignoreParseErrors = formatOptions.get(IGNORE_PARSE_ERRORS);
    TimestampFormat timestampOption = JsonFormatOptionsUtil.getTimestampFormat(formatOptions);
    return new ProjectableDecodingFormat<DeserializationSchema<RowData>>() {

        @Override
        public DeserializationSchema<RowData> createRuntimeDecoder(DynamicTableSource.Context context, DataType physicalDataType, int[][] projections) {
            final DataType producedDataType = Projection.of(projections).project(physicalDataType);
            final RowType rowType = (RowType) producedDataType.getLogicalType();
            final TypeInformation<RowData> rowDataTypeInfo = context.createTypeInformation(producedDataType);
            return new JsonRowDataDeserializationSchema(rowType, rowDataTypeInfo, failOnMissingField, ignoreParseErrors, timestampOption);
        }

        @Override
        public ChangelogMode getChangelogMode() {
            return ChangelogMode.insertOnly();
        }
    };
}

Example 5 with ProjectableDecodingFormat

use of org.apache.flink.table.connector.format.ProjectableDecodingFormat in project flink by apache.

the class FileSystemTableSource method getScanRuntimeProvider.

@Override
public ScanRuntimeProvider getScanRuntimeProvider(ScanContext scanContext) {
    // When this table has no partition, just return a empty source.
    if (!partitionKeys.isEmpty() && getOrFetchPartitions().isEmpty()) {
        return InputFormatProvider.of(new CollectionInputFormat<>(new ArrayList<>(), null));
    }
    // Resolve metadata and make sure to filter out metadata not in the producedDataType
    final List<String> metadataKeys = DataType.getFieldNames(producedDataType).stream().filter(((this.metadataKeys == null) ? Collections.emptyList() : this.metadataKeys)::contains).collect(Collectors.toList());
    final List<ReadableFileInfo> metadataToExtract = metadataKeys.stream().map(ReadableFileInfo::resolve).collect(Collectors.toList());
    // Filter out partition columns not in producedDataType
    final List<String> partitionKeysToExtract = DataType.getFieldNames(producedDataType).stream().filter(this.partitionKeys::contains).collect(Collectors.toList());
    // Compute the physical projection and the physical data type, that is
    // the type without partition columns and metadata in the same order of the schema
    DataType physicalDataType = physicalRowDataType;
    final Projection partitionKeysProjections = Projection.fromFieldNames(physicalDataType, partitionKeysToExtract);
    final Projection physicalProjections = (projectFields != null ? Projection.of(projectFields) : Projection.all(physicalDataType)).difference(partitionKeysProjections);
    physicalDataType = partitionKeysProjections.complement(physicalDataType).project(physicalDataType);
    if (bulkReaderFormat != null) {
        if (bulkReaderFormat instanceof BulkDecodingFormat && filters != null && filters.size() > 0) {
            ((BulkDecodingFormat<RowData>) bulkReaderFormat).applyFilters(filters);
        }
        BulkFormat<RowData, FileSourceSplit> format;
        if (bulkReaderFormat instanceof ProjectableDecodingFormat) {
            format = ((ProjectableDecodingFormat<BulkFormat<RowData, FileSourceSplit>>) bulkReaderFormat).createRuntimeDecoder(scanContext, physicalDataType, physicalProjections.toNestedIndexes());
        } else {
            format = new ProjectingBulkFormat(bulkReaderFormat.createRuntimeDecoder(scanContext, physicalDataType), physicalProjections.toTopLevelIndexes(), scanContext.createTypeInformation(physicalProjections.project(physicalDataType)));
        }
        format = wrapBulkFormat(scanContext, format, producedDataType, metadataToExtract, partitionKeysToExtract);
        return createSourceProvider(format);
    } else if (deserializationFormat != null) {
        BulkFormat<RowData, FileSourceSplit> format;
        if (deserializationFormat instanceof ProjectableDecodingFormat) {
            format = new DeserializationSchemaAdapter(((ProjectableDecodingFormat<DeserializationSchema<RowData>>) deserializationFormat).createRuntimeDecoder(scanContext, physicalDataType, physicalProjections.toNestedIndexes()));
        } else {
            format = new ProjectingBulkFormat(new DeserializationSchemaAdapter(deserializationFormat.createRuntimeDecoder(scanContext, physicalDataType)), physicalProjections.toTopLevelIndexes(), scanContext.createTypeInformation(physicalProjections.project(physicalDataType)));
        }
        format = wrapBulkFormat(scanContext, format, producedDataType, metadataToExtract, partitionKeysToExtract);
        return createSourceProvider(format);
    } else {
        throw new TableException("Can not find format factory.");
    }
}