You are viewing a plain text version of this content. The canonical link for it is here.
Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2020/04/14 18:35:17 UTC

[GitHub] [beam] amaliujia commented on a change in pull request #10946: [BEAM-9363] TUMBLE as TVF

amaliujia commented on a change in pull request #10946: [BEAM-9363] TUMBLE as TVF
URL: https://github.com/apache/beam/pull/10946#discussion_r408351446
 
 

 ##########
 File path: sdks/java/extensions/sql/src/main/java/org/apache/beam/sdk/extensions/sql/impl/rel/BeamTableFunctionScanRel.java
 ##########
 @@ -0,0 +1,157 @@
+/*
+ * 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.beam.sdk.extensions.sql.impl.rel;
+
+import static org.apache.beam.vendor.calcite.v1_20_0.com.google.common.base.Preconditions.checkArgument;
+
+import java.lang.reflect.Type;
+import java.util.List;
+import java.util.Set;
+import org.apache.beam.sdk.extensions.sql.impl.planner.BeamCostModel;
+import org.apache.beam.sdk.extensions.sql.impl.planner.NodeStats;
+import org.apache.beam.sdk.extensions.sql.impl.utils.CalciteUtils;
+import org.apache.beam.sdk.schemas.Schema;
+import org.apache.beam.sdk.transforms.DoFn;
+import org.apache.beam.sdk.transforms.PTransform;
+import org.apache.beam.sdk.transforms.ParDo;
+import org.apache.beam.sdk.transforms.windowing.FixedWindows;
+import org.apache.beam.sdk.transforms.windowing.IntervalWindow;
+import org.apache.beam.sdk.values.PCollection;
+import org.apache.beam.sdk.values.PCollectionList;
+import org.apache.beam.sdk.values.Row;
+import org.apache.beam.vendor.calcite.v1_20_0.org.apache.calcite.plan.RelOptCluster;
+import org.apache.beam.vendor.calcite.v1_20_0.org.apache.calcite.plan.RelOptPlanner;
+import org.apache.beam.vendor.calcite.v1_20_0.org.apache.calcite.plan.RelTraitSet;
+import org.apache.beam.vendor.calcite.v1_20_0.org.apache.calcite.rel.RelNode;
+import org.apache.beam.vendor.calcite.v1_20_0.org.apache.calcite.rel.core.TableFunctionScan;
+import org.apache.beam.vendor.calcite.v1_20_0.org.apache.calcite.rel.metadata.RelColumnMapping;
+import org.apache.beam.vendor.calcite.v1_20_0.org.apache.calcite.rel.metadata.RelMetadataQuery;
+import org.apache.beam.vendor.calcite.v1_20_0.org.apache.calcite.rel.type.RelDataType;
+import org.apache.beam.vendor.calcite.v1_20_0.org.apache.calcite.rex.RexCall;
+import org.apache.beam.vendor.calcite.v1_20_0.org.apache.calcite.rex.RexInputRef;
+import org.apache.beam.vendor.calcite.v1_20_0.org.apache.calcite.rex.RexLiteral;
+import org.apache.beam.vendor.calcite.v1_20_0.org.apache.calcite.rex.RexNode;
+import org.joda.time.Duration;
+
+public class BeamTableFunctionScanRel extends TableFunctionScan implements BeamRelNode {
 
 Review comment:
   I agree your parameter.
   
   Given that only windowing TVF is the only TVF usage, having or not having a parameter does not matter, because I don't have a concrete idea what other table-valued function we will support and how.
   
   I would like to leave parametrization to the future when there is a need to support other TVF.  Either we limit windowing to `BeamWindowingTableFunctionScanRel` and have another Rel for other usage, or still have a general Rel but support all. It's not clear to me which approach is better, and that might can be answered when there is a need to support other  usage.
   
   Also to clarify: I do have a plan to support not only UDF, UDAF, but also user-defined tabled function, and that will happen in near term.

----------------------------------------------------------------
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.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services