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Posted to issues@iceberg.apache.org by GitBox <gi...@apache.org> on 2020/07/11 00:27:52 UTC

[GitHub] [iceberg] rdblue commented on a change in pull request #1158: Flink: Add Orc value reader, writer implementations

rdblue commented on a change in pull request #1158:
URL: https://github.com/apache/iceberg/pull/1158#discussion_r453130752



##########
File path: data/src/main/java/org/apache/iceberg/data/orc/BaseOrcReader.java
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@@ -0,0 +1,127 @@
+/*
+ * 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.iceberg.data.orc;
+
+import java.util.List;
+import java.util.Map;
+import org.apache.iceberg.orc.OrcRowReader;
+import org.apache.iceberg.orc.OrcSchemaWithTypeVisitor;
+import org.apache.iceberg.orc.OrcValueReader;
+import org.apache.iceberg.orc.OrcValueReaders;
+import org.apache.iceberg.types.Type;
+import org.apache.iceberg.types.Types;
+import org.apache.orc.TypeDescription;
+
+public abstract class BaseOrcReader<T> implements OrcRowReader<T> {

Review comment:
       > What about Flink's primitive types do they align with well with Iceberg Generics?
   
   My understanding is that Flink does (or can) use the same representations, except for structs. It would be good to have a response for @openinx or @JingsongLi, though. From looking at the Flink code, not all of the default conversions are these types. `VarBinary` uses [`byte[]`](https://github.com/apache/flink/blob/master/flink-table/flink-table-common/src/main/java/org/apache/flink/table/types/logical/VarBinaryType.java#L57) instead of `ByteBuffer` and `LocalZonedTimestampType` uses [`Instant`](https://github.com/apache/flink/blob/master/flink-table/flink-table-common/src/main/java/org/apache/flink/table/types/logical/LocalZonedTimestampType.java#L78) (but the Javadoc says its behavior is like `OffsetDateTime` that we use). That said, it looks like Flink might support multiple conversions.
   
   Depending on what Flink uses internally, @rdsr might be right about building a set of readers specific to those types. But if we can make this more generic easily, then I like the idea of doing that. Ideally, I think new object models would be created by providing a few methods to create and read into an object, kind of like our [methods to plug in struct types](https://github.com/apache/iceberg/blob/master/parquet/src/main/java/org/apache/iceberg/parquet/ParquetValueReaders.java#L708-L723).




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