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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2022/11/23 00:19:39 UTC

[GitHub] [beam] pabloem commented on a diff in pull request #24278: A schema transform implementation for SpannerIO.Write

pabloem commented on code in PR #24278:
URL: https://github.com/apache/beam/pull/24278#discussion_r1029930463


##########
sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/spanner/SpannerSchemaTransformWriteProvider.java:
##########
@@ -0,0 +1,173 @@
+/*
+ * 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.io.gcp.spanner;
+
+import com.google.auto.service.AutoService;
+import com.google.auto.value.AutoValue;
+import com.google.cloud.spanner.Mutation;
+import java.io.Serializable;
+import java.util.Collections;
+import java.util.List;
+import java.util.Objects;
+import java.util.stream.Collectors;
+import org.apache.beam.sdk.schemas.AutoValueSchema;
+import org.apache.beam.sdk.schemas.Schema;
+import org.apache.beam.sdk.schemas.annotations.DefaultSchema;
+import org.apache.beam.sdk.schemas.transforms.SchemaTransform;
+import org.apache.beam.sdk.schemas.transforms.SchemaTransformProvider;
+import org.apache.beam.sdk.schemas.transforms.TypedSchemaTransformProvider;
+import org.apache.beam.sdk.transforms.FlatMapElements;
+import org.apache.beam.sdk.transforms.MapElements;
+import org.apache.beam.sdk.transforms.PTransform;
+import org.apache.beam.sdk.transforms.SimpleFunction;
+import org.apache.beam.sdk.values.PCollectionRowTuple;
+import org.apache.beam.sdk.values.Row;
+import org.apache.beam.sdk.values.TypeDescriptors;
+import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.Iterators;
+import org.checkerframework.checker.initialization.qual.Initialized;
+import org.checkerframework.checker.nullness.qual.NonNull;
+import org.checkerframework.checker.nullness.qual.UnknownKeyFor;
+
+@AutoService(SchemaTransformProvider.class)
+public class SpannerSchemaTransformWriteProvider
+    extends TypedSchemaTransformProvider<
+        SpannerSchemaTransformWriteProvider.SpannerSchemaTransformWriteConfiguration> {
+
+  @Override
+  protected @UnknownKeyFor @NonNull @Initialized Class<
+          SpannerSchemaTransformWriteProvider.SpannerSchemaTransformWriteConfiguration>
+      configurationClass() {
+    return SpannerSchemaTransformWriteConfiguration.class;
+  }
+
+  @Override
+  protected @UnknownKeyFor @NonNull @Initialized SchemaTransform from(
+      SpannerSchemaTransformWriteConfiguration configuration) {
+    return new SpannerSchemaTransformWrite(configuration);
+  }
+
+  static class SpannerSchemaTransformWrite implements SchemaTransform, Serializable {
+    private final SpannerSchemaTransformWriteConfiguration configuration;
+
+    SpannerSchemaTransformWrite(SpannerSchemaTransformWriteConfiguration configuration) {
+      this.configuration = configuration;
+    }
+
+    @Override
+    public @UnknownKeyFor @NonNull @Initialized PTransform<
+            @UnknownKeyFor @NonNull @Initialized PCollectionRowTuple,
+            @UnknownKeyFor @NonNull @Initialized PCollectionRowTuple>
+        buildTransform() {
+      return new PTransform<@NonNull PCollectionRowTuple, @NonNull PCollectionRowTuple>() {
+        @Override
+        public PCollectionRowTuple expand(@NonNull PCollectionRowTuple input) {
+          SpannerWriteResult result =
+              input
+                  .get("input")
+                  .apply(
+                      MapElements.via(
+                          new SimpleFunction<Row, Mutation>(
+                              row ->
+                                  MutationUtils.createMutationFromBeamRows(
+                                      Mutation.newInsertOrUpdateBuilder(configuration.getTableId()),
+                                      Objects.requireNonNull(row))) {}))
+                  .apply(
+                      SpannerIO.write()
+                          .withDatabaseId(configuration.getDatabaseId())
+                          .withInstanceId(configuration.getInstanceId())
+                          .withFailureMode(SpannerIO.FailureMode.REPORT_FAILURES));
+          Schema failureSchema =
+              Schema.builder()
+                  .addStringField("operation")
+                  .addStringField("instanceId")
+                  .addStringField("databaseId")
+                  .addStringField("tableId")
+                  .addStringField("mutationData")
+                  .build();
+          result
+              .getFailedMutations()
+              .apply(
+                  FlatMapElements.into(TypeDescriptors.rows())
+                      .via(
+                          mtg ->
+                              Objects.requireNonNull(mtg).attached().stream()
+                                  .map(
+                                      mutation ->
+                                          Row.withSchema(failureSchema)
+                                              .addValue(mutation.getOperation().toString())
+                                              .addValue(configuration.getInstanceId())
+                                              .addValue(configuration.getDatabaseId())
+                                              .addValue(mutation.getTable())
+                                              // TODO(pabloem): Figure out how to represent
+                                              // mutation
+                                              //  contents in DLQ
+                                              .addValue(
+                                                  Iterators.toString(
+                                                      mutation.getValues().iterator()))
+                                              .build())
+                                  .collect(Collectors.toList())))
+              .setRowSchema(failureSchema);
+          return PCollectionRowTuple.empty(input.getPipeline());
+        }
+      };
+    }
+  }
+
+  @Override
+  public @UnknownKeyFor @NonNull @Initialized String identifier() {
+    return "beam:schematransform:org.apache.beam:spanner_write:v1";
+  }
+
+  @Override
+  public @UnknownKeyFor @NonNull @Initialized List<@UnknownKeyFor @NonNull @Initialized String>
+      inputCollectionNames() {
+    return Collections.singletonList("input");
+  }
+
+  @Override
+  public @UnknownKeyFor @NonNull @Initialized List<@UnknownKeyFor @NonNull @Initialized String>
+      outputCollectionNames() {
+    return Collections.emptyList();
+  }
+
+  @AutoValue
+  @DefaultSchema(AutoValueSchema.class)
+  public abstract static class SpannerSchemaTransformWriteConfiguration implements Serializable {

Review Comment:
   not for now. For now we will allow ourselves to fail at runtime, but we may add validations later.



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