tsreaper commented on a change in pull request #17520:
URL: https://github.com/apache/flink/pull/17520#discussion_r732384420
##########
File path:
flink-formats/flink-avro/src/main/java/org/apache/flink/formats/avro/AvroFileFormatFactory.java
##########
@@ -20,39 +20,135 @@
import org.apache.flink.annotation.Internal;
import org.apache.flink.api.common.serialization.BulkWriter;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.configuration.ConfigOption;
import org.apache.flink.configuration.ReadableConfig;
+import org.apache.flink.connector.file.src.FileSourceSplit;
+import org.apache.flink.connector.file.src.reader.BulkFormat;
import org.apache.flink.core.fs.FSDataOutputStream;
import org.apache.flink.formats.avro.typeutils.AvroSchemaConverter;
import org.apache.flink.table.connector.ChangelogMode;
+import org.apache.flink.table.connector.format.BulkDecodingFormat;
import org.apache.flink.table.connector.format.EncodingFormat;
import org.apache.flink.table.connector.sink.DynamicTableSink;
+import org.apache.flink.table.connector.source.DynamicTableSource;
+import org.apache.flink.table.data.GenericRowData;
import org.apache.flink.table.data.RowData;
+import org.apache.flink.table.factories.BulkReaderFormatFactory;
import org.apache.flink.table.factories.BulkWriterFormatFactory;
import org.apache.flink.table.factories.DynamicTableFactory;
+import org.apache.flink.table.filesystem.FileSystemConnectorOptions;
import org.apache.flink.table.types.DataType;
+import org.apache.flink.table.types.logical.LogicalType;
import org.apache.flink.table.types.logical.RowType;
+import org.apache.flink.table.utils.PartitionPathUtils;
import org.apache.avro.Schema;
import org.apache.avro.file.CodecFactory;
import org.apache.avro.file.DataFileWriter;
+import org.apache.avro.generic.GenericData;
import org.apache.avro.generic.GenericDatumWriter;
import org.apache.avro.generic.GenericRecord;
import org.apache.avro.io.DatumWriter;
import java.io.IOException;
import java.io.OutputStream;
import java.util.HashSet;
+import java.util.List;
import java.util.Set;
+import java.util.stream.Collectors;
import static
org.apache.flink.formats.avro.AvroFormatOptions.AVRO_OUTPUT_CODEC;
/** Avro format factory for file system. */
@Internal
-public class AvroFileFormatFactory implements BulkWriterFormatFactory {
+public class AvroFileFormatFactory implements BulkReaderFormatFactory,
BulkWriterFormatFactory {
public static final String IDENTIFIER = "avro";
+ @Override
+ public BulkDecodingFormat<RowData> createDecodingFormat(
+ DynamicTableFactory.Context context, ReadableConfig formatOptions)
{
+ return new BulkDecodingFormat<RowData>() {
+ @Override
+ public BulkFormat<RowData, FileSourceSplit> createRuntimeDecoder(
+ DynamicTableSource.Context sourceContext, DataType
producedDataType) {
+ RowType physicalRowype =
+ (RowType)
+ context.getCatalogTable()
+ .getResolvedSchema()
+ .toPhysicalRowDataType()
+ .getLogicalType();
Review comment:
I don't quite get it. `producedDataType` is the data type produced by
this source operator after projection push down. It might be different from
what is stored in the avro file. For example, if this source is partitioned
then partition keys are stored in file path, not in avro file. Also the order
of fields in `producedDataType` might be different from `physicalRowType`, and
I need to map the fields in `AvroGenericRecordBulkFormat`.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
