slinkydeveloper commented on a change in pull request #17520:
URL: https://github.com/apache/flink/pull/17520#discussion_r733405522



##########
File path: 
flink-formats/flink-avro/src/main/java/org/apache/flink/formats/avro/AbstractAvroBulkFormat.java
##########
@@ -0,0 +1,190 @@
+/*
+ * 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.flink.formats.avro;
+
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.connector.file.src.FileSourceSplit;
+import org.apache.flink.connector.file.src.reader.BulkFormat;
+import org.apache.flink.connector.file.src.util.CheckpointedPosition;
+import org.apache.flink.connector.file.src.util.IteratorResultIterator;
+import org.apache.flink.core.fs.FileSystem;
+import org.apache.flink.core.fs.Path;
+import org.apache.flink.formats.avro.utils.FSDataInputStreamWrapper;
+
+import org.apache.avro.file.DataFileReader;
+import org.apache.avro.file.SeekableInput;
+import org.apache.avro.generic.GenericDatumReader;
+import org.apache.avro.io.DatumReader;
+
+import javax.annotation.Nullable;
+
+import java.io.IOException;
+import java.util.Iterator;
+import java.util.concurrent.BlockingQueue;
+import java.util.concurrent.LinkedBlockingQueue;
+
+/** Provides a {@link BulkFormat} for Avro records. */
+public abstract class AbstractAvroBulkFormat<A, T, SplitT extends 
FileSourceSplit>
+        implements BulkFormat<T, SplitT> {
+
+    private static final long serialVersionUID = 1L;
+
+    @Override
+    public AvroReader createReader(Configuration config, SplitT split) throws 
IOException {
+        open(split);
+        return createReader(split);
+    }
+
+    @Override
+    public AvroReader restoreReader(Configuration config, SplitT split) throws 
IOException {
+        open(split);
+        return createReader(split);
+    }
+
+    @Override
+    public boolean isSplittable() {
+        return true;
+    }
+
+    private AvroReader createReader(SplitT split) throws IOException {
+        long end = split.offset() + split.length();
+        if (split.getReaderPosition().isPresent()) {
+            CheckpointedPosition position = split.getReaderPosition().get();
+            return new AvroReader(
+                    split.path(),
+                    split.offset(),
+                    end,
+                    position.getOffset(),
+                    position.getRecordsAfterOffset());
+        } else {
+            return new AvroReader(split.path(), split.offset(), end, -1, 0);
+        }
+    }
+
+    protected void open(SplitT split) {}
+
+    abstract T convert(A record);
+
+    abstract A getReusedAvroObject();
+
+    private class AvroReader implements BulkFormat.Reader<T> {
+
+        private final DataFileReader<A> reader;
+        private final A reuse;
+
+        private final long end;
+        private final BlockingQueue<Boolean> blockingQueue;
+
+        private long currentBlockStart;
+        private long currentRecordsToSkip;
+
+        private AvroReader(Path path, long offset, long end, long blockStart, 
long recordsToSkip)
+                throws IOException {
+            this.reader = createReaderFromPath(path);
+            this.reuse = getReusedAvroObject();
+            if (blockStart >= 0) {
+                reader.seek(blockStart);
+            } else {
+                reader.sync(offset);
+            }
+            for (int i = 0; i < recordsToSkip; i++) {
+                reader.next(reuse);
+            }
+
+            this.end = end;
+            this.blockingQueue = new LinkedBlockingQueue<>(1);
+
+            this.currentBlockStart = reader.previousSync();
+            this.currentRecordsToSkip = recordsToSkip;
+        }
+
+        private DataFileReader<A> createReaderFromPath(Path path) throws 
IOException {
+            FileSystem fileSystem = path.getFileSystem();
+            DatumReader<A> datumReader = new GenericDatumReader<>();
+            SeekableInput in =
+                    new FSDataInputStreamWrapper(
+                            fileSystem.open(path), 
fileSystem.getFileStatus(path).getLen());
+            return (DataFileReader<A>) DataFileReader.openReader(in, 
datumReader);
+        }
+
+        @Nullable
+        @Override
+        public RecordIterator<T> readBatch() throws IOException {
+            if (reachEnd()) {
+                return null;
+            }
+
+            try {
+                blockingQueue.put(true);

Review comment:
       Then why `StreamFormatAdapter` doesn't have any sync primitive in its 
`readBatch` method? And note that each `readBatch` reuses the same instance of 
`FSDataInputStream`, which is definitely not suitable for multithreaded usage. 
Same discussion applies to `DeserializationSchemaAdapter`.
   
   Also, from FLIP-27, It states the reading is done sequentially for files: 
https://cwiki.apache.org/confluence/display/FLINK/FLIP-27%3A+Refactor+Source+Interface#FLIP27:RefactorSourceInterface-BaseImplementationBaseimplementationandhigh-levelreaders
 but this information might be old...




-- 
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


Reply via email to