cshuo commented on code in PR #13535:
URL: https://github.com/apache/hudi/pull/13535#discussion_r2194499066
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hudi-flink-datasource/hudi-flink/src/main/java/org/apache/hudi/table/format/FlinkReaderContextFactory.java:
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@@ -27,23 +27,22 @@
import org.apache.flink.table.data.RowData;
import java.util.Collections;
-import java.util.function.Supplier;
/**
* Factory for creating a Flink-specific reader context.
* This context is used specifically for table services such as compaction and
clustering.
*/
public class FlinkReaderContextFactory implements
ReaderContextFactory<RowData> {
private final HoodieTableMetaClient metaClient;
+ private final InternalSchemaManager internalSchemaManager;
public FlinkReaderContextFactory(HoodieTableMetaClient metaClient) {
this.metaClient = metaClient;
+ this.internalSchemaManager =
InternalSchemaManager.get(metaClient.getStorageConf().unwrapAs(Configuration.class),
metaClient);
}
@Override
public HoodieReaderContext<RowData> getContext() {
- Supplier<InternalSchemaManager> internalSchemaManager = () ->
InternalSchemaManager.get(metaClient.getStorageConf().unwrapAs(Configuration.class),
metaClient);
Review Comment:
`FlinkReaderContextFactory#getContext` is called to create reader context
perf FileSlice during clustering or compaction. If `internalSchemaManager` is
instantiated in `getContext`, meta files will be listed for each file slice
reading.
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