TheNeuralBit commented on a change in pull request #12780:
URL: https://github.com/apache/beam/pull/12780#discussion_r513699837
##########
File path:
sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/pubsub/RowToPubsubMessage.java
##########
@@ -57,14 +73,43 @@ public static RowToPubsubMessage
withTimestampAttribute(boolean useTimestampAttr
? input.apply(WithTimestamps.of((row) ->
row.getDateTime(TIMESTAMP_FIELD).toInstant()))
: input;
- return withTimestamp
- .apply(DropFields.fields(TIMESTAMP_FIELD))
- .apply(ToJson.of())
- .apply(
- MapElements.into(TypeDescriptor.of(PubsubMessage.class))
- .via(
- (String json) ->
- new PubsubMessage(
- json.getBytes(StandardCharsets.ISO_8859_1),
ImmutableMap.of())));
+ withTimestamp = withTimestamp.apply(DropFields.fields(TIMESTAMP_FIELD));
+ switch (payloadFormat) {
+ case JSON:
+ return withTimestamp
+ .apply("MapRowToJsonString", ToJson.of())
+ .apply("MapToJsonBytes", MapElements.via(new StringToBytes()))
+ .apply("MapToPubsubMessage", MapElements.via(new
ToPubsubMessage()));
+ case AVRO:
+ return withTimestamp
+ .apply(
+ "MapRowToAvroBytes",
+
MapElements.via(AvroUtils.getRowToAvroBytesFunction(payloadSchema)))
+ .apply("MapToPubsubMessage", MapElements.via(new
ToPubsubMessage()));
+ default:
+ throw new IllegalArgumentException("Unsupported payload format: " +
payloadFormat);
+ }
+ }
+
+ private static class StringToBytes extends SimpleFunction<String, byte[]> {
+ @Override
+ public byte[] apply(String s) {
+ return s.getBytes(ISO_8859_1);
Review comment:
I'm not sure why I opted to get ISO_8859_1 encoded bytes here... Could
you change this to use UTF_8?
##########
File path:
sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/pubsub/PubsubMessageToRow.java
##########
@@ -175,11 +213,21 @@ public void processElement(
private final boolean useDlq;
+ private final PayloadFormat payloadFormat;
+
private transient volatile @Nullable ObjectMapper objectMapper;
- protected NestedSchemaPubsubMessageToRow(Schema messageSchema, boolean
useDlq) {
+ private final SimpleFunction<byte[], Row> avroBytesToRowFn;
+
+ private final Schema payloadSchema;
+
+ protected NestedSchemaPubsubMessageToRow(
+ Schema messageSchema, boolean useDlq, PayloadFormat payloadFormat) {
this.messageSchema = messageSchema;
this.useDlq = useDlq;
+ this.payloadFormat = payloadFormat;
+ this.payloadSchema =
messageSchema.getField(PAYLOAD_FIELD).getType().getRowSchema();
+ this.avroBytesToRowFn =
AvroUtils.getAvroBytesToRowFunction(payloadSchema);
Review comment:
Instead of eagerly generating the avroBytesToRowFn (even if we won't
need it) and then branching on the payloadFormat for every element in
parsePayload, we should instead generate a parsePayload function when it's
needed. This could work similarly to what the current version does
with`objectMapper`, except we would create and store a `Function<PubsubMessage,
Row>`. In the JSON case we'd generate the ObjectMapper and wrap that in a
function, and in the Avro case we'd call getAvroBytesToRowFunction and wrap it.
##########
File path:
website/www/site/content/en/documentation/dsls/sql/extensions/create-external-table.md
##########
@@ -251,6 +253,8 @@ TBLPROPERTIES '{"timestampAttributeKey": "key",
"deadLetterQueue": "projects/[PR
* `deadLetterQueue`: The topic into which messages are written if the
payload was not parsed. If not specified, an exception is thrown for
parsing failures.
+ * `format`: Optional. Allows you to specify the Pubsub payload format.
+ Possible values are {`json`, `avro`}. Defaults to `json`.
Review comment:
:+1: thanks
##########
File path:
sdks/java/extensions/sql/src/test/java/org/apache/beam/sdk/extensions/sql/meta/provider/pubsub/PubsubAvroIT.java
##########
@@ -0,0 +1,108 @@
+/*
+ * 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.meta.provider.pubsub;
+
+import static java.nio.charset.StandardCharsets.UTF_8;
+import static org.hamcrest.Matchers.equalTo;
+import static org.hamcrest.Matchers.hasProperty;
+
+import java.io.ByteArrayOutputStream;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.avro.generic.GenericRecordBuilder;
+import org.apache.beam.sdk.coders.AvroCoder;
+import org.apache.beam.sdk.io.gcp.pubsub.PubsubMessage;
+import org.apache.beam.sdk.schemas.Schema;
+import org.apache.beam.sdk.schemas.utils.AvroUtils;
+import org.apache.beam.sdk.transforms.MapElements;
+import org.apache.beam.sdk.values.PCollection;
+import org.apache.beam.sdk.values.Row;
+import org.apache.beam.sdk.values.TypeDescriptors;
+import org.hamcrest.Matcher;
+import org.joda.time.Instant;
+import org.junit.runner.RunWith;
+import org.junit.runners.JUnit4;
+
+/** Integration tests for querying Pubsub AVRO messages with SQL. */
+@RunWith(JUnit4.class)
+public class PubsubAvroIT extends PubsubTableProviderIT {
+ private static final Schema NAME_HEIGHT_KNOWS_JS_SCHEMA =
+ Schema.builder()
+ .addNullableField("name", Schema.FieldType.STRING)
+ .addNullableField("height", Schema.FieldType.INT32)
+ .addNullableField("knowsJavascript", Schema.FieldType.BOOLEAN)
+ .build();
+
+ private static final Schema NAME_HEIGHT_SCHEMA =
+ Schema.builder()
+ .addNullableField("name", Schema.FieldType.STRING)
+ .addNullableField("height", Schema.FieldType.INT32)
+ .build();
+
+ @Override
+ protected String getPayloadFormat() {
+ return "avro";
+ }
+
+ @Override
+ protected PCollection<String> applyRowsToStrings(PCollection<Row> rows) {
+ return rows.apply(
+ MapElements.into(TypeDescriptors.strings())
+ .via(
+ (Row row) ->
+ new String(
+
AvroUtils.getRowToAvroBytesFunction(row.getSchema()).apply(row), UTF_8)));
+ }
+
+ @Override
+ protected PubsubMessage messageIdName(Instant timestamp, int id, String
name) {
+ Row row = row(PAYLOAD_SCHEMA, id, name);
+ return message(timestamp,
AvroUtils.getRowToAvroBytesFunction(PAYLOAD_SCHEMA).apply(row));
+ }
+
+ @Override
+ protected Matcher<PubsubMessage> matcherNames(String name) {
+ Schema schema = Schema.builder().addStringField("name").build();
+ Row row = row(schema, name);
+ return hasProperty("payload",
equalTo(AvroUtils.getRowToAvroBytesFunction(schema).apply(row)));
+ }
+
+ @Override
+ protected Matcher<PubsubMessage> matcherNameHeight(String name, int height) {
+ Row row = row(NAME_HEIGHT_SCHEMA, name, height);
+ return hasProperty(
+ "payload",
equalTo(AvroUtils.getRowToAvroBytesFunction(NAME_HEIGHT_SCHEMA).apply(row)));
Review comment:
`messageIdName`, `matcherNames`, and `matcherNameHeight` should avoid
using AvroUtils.getRowToAvroBytesFunction as well.
##########
File path:
sdks/java/extensions/sql/src/test/java/org/apache/beam/sdk/extensions/sql/meta/provider/pubsub/PubsubTableProviderIT.java
##########
@@ -0,0 +1,651 @@
+/*
+ * 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.meta.provider.pubsub;
+
+import static org.hamcrest.MatcherAssert.assertThat;
+import static org.hamcrest.Matchers.allOf;
+import static org.hamcrest.Matchers.equalTo;
+import static org.hamcrest.Matchers.hasEntry;
+import static org.hamcrest.Matchers.hasProperty;
+
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import java.io.Serializable;
+import java.nio.charset.StandardCharsets;
+import java.sql.ResultSet;
+import java.sql.SQLException;
+import java.sql.Statement;
+import java.util.List;
+import java.util.Map;
+import java.util.concurrent.Callable;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
+import java.util.concurrent.Future;
+import java.util.concurrent.TimeUnit;
+import java.util.stream.Collectors;
+import org.apache.beam.sdk.extensions.gcp.options.GcpOptions;
+import org.apache.beam.sdk.extensions.sql.SqlTransform;
+import org.apache.beam.sdk.extensions.sql.impl.BeamSqlEnv;
+import org.apache.beam.sdk.extensions.sql.impl.JdbcConnection;
+import org.apache.beam.sdk.extensions.sql.impl.JdbcDriver;
+import org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils;
+import
org.apache.beam.sdk.extensions.sql.meta.provider.SchemaIOTableProviderWrapper;
+import org.apache.beam.sdk.extensions.sql.meta.provider.TableProvider;
+import org.apache.beam.sdk.extensions.sql.meta.store.InMemoryMetaStore;
+import org.apache.beam.sdk.io.gcp.pubsub.PubsubIO;
+import org.apache.beam.sdk.io.gcp.pubsub.PubsubMessage;
+import org.apache.beam.sdk.io.gcp.pubsub.TestPubsub;
+import org.apache.beam.sdk.io.gcp.pubsub.TestPubsubSignal;
+import org.apache.beam.sdk.options.PipelineOptions;
+import org.apache.beam.sdk.schemas.Schema;
+import org.apache.beam.sdk.schemas.SchemaCoder;
+import org.apache.beam.sdk.testing.TestPipeline;
+import org.apache.beam.sdk.transforms.Create;
+import org.apache.beam.sdk.util.common.ReflectHelpers;
+import org.apache.beam.sdk.values.PCollection;
+import org.apache.beam.sdk.values.Row;
+import
org.apache.beam.vendor.calcite.v1_20_0.com.google.common.collect.ImmutableList;
+import
org.apache.beam.vendor.calcite.v1_20_0.com.google.common.collect.ImmutableMap;
+import
org.apache.beam.vendor.calcite.v1_20_0.com.google.common.collect.ImmutableSet;
+import
org.apache.beam.vendor.calcite.v1_20_0.org.apache.calcite.jdbc.CalciteConnection;
+import org.hamcrest.Matcher;
+import org.joda.time.Duration;
+import org.joda.time.Instant;
+import org.junit.Rule;
+import org.junit.Test;
+import org.junit.runner.RunWith;
+import org.junit.runners.JUnit4;
+
+@RunWith(JUnit4.class)
+public abstract class PubsubTableProviderIT implements Serializable {
+
+ protected static final Schema PAYLOAD_SCHEMA =
+ Schema.builder()
+ .addNullableField("id", Schema.FieldType.INT32)
+ .addNullableField("name", Schema.FieldType.STRING)
+ .build();
+
+ @Rule public transient TestPubsub eventsTopic = TestPubsub.create();
+ @Rule public transient TestPubsub filteredEventsTopic = TestPubsub.create();
+ @Rule public transient TestPubsub dlqTopic = TestPubsub.create();
+ @Rule public transient TestPubsubSignal resultSignal =
TestPubsubSignal.create();
+ @Rule public transient TestPipeline pipeline = TestPipeline.create();
+ @Rule public transient TestPipeline filterPipeline = TestPipeline.create();
+ private final SchemaIOTableProviderWrapper tableProvider = new
PubsubTableProvider();
+ private final String payloadFormatParam =
+ getPayloadFormat() == null ? "" : String.format("\"format\" : \"%s\", ",
getPayloadFormat());
+
+ /**
+ * HACK: we need an objectmapper to turn pipelineoptions back into a map. We
need to use
+ * ReflectHelpers to get the extra PipelineOptions.
+ */
+ protected static final ObjectMapper MAPPER =
+ new ObjectMapper()
+
.registerModules(ObjectMapper.findModules(ReflectHelpers.findClassLoader()));
+
+ @Test
+ public void testSQLSelectsPayloadContent() throws Exception {
+ String createTableString =
+ String.format(
+ "CREATE EXTERNAL TABLE message (\n"
+ + "event_timestamp TIMESTAMP, \n"
+ + "attributes MAP<VARCHAR, VARCHAR>, \n"
+ + "payload ROW< \n"
+ + " id INTEGER, \n"
+ + " name VARCHAR \n"
+ + " > \n"
+ + ") \n"
+ + "TYPE '%s' \n"
+ + "LOCATION '%s' \n"
+ + "TBLPROPERTIES '{ "
+ + "%s"
+ + "\"timestampAttributeKey\" : \"ts\" }'",
+ tableProvider.getTableType(), eventsTopic.topicPath(),
payloadFormatParam);
+
+ String queryString = "SELECT message.payload.id, message.payload.name from
message";
+
+ // Prepare messages to send later
+ List<PubsubMessage> messages =
+ ImmutableList.of(
+ messageIdName(ts(1), 3, "foo"),
+ messageIdName(ts(2), 5, "bar"),
+ messageIdName(ts(3), 7, "baz"));
+
+ // Initialize SQL environment and create the pubsub table
+ BeamSqlEnv sqlEnv = BeamSqlEnv.inMemory(new PubsubTableProvider());
+ sqlEnv.executeDdl(createTableString);
+
+ // Apply the PTransform to query the pubsub topic
+ PCollection<Row> queryOutput = query(sqlEnv, pipeline, queryString);
+
+ // Observe the query results and send success signal after seeing the
expected messages
+ queryOutput.apply(
+ "waitForSuccess",
+ resultSignal.signalSuccessWhen(
+ SchemaCoder.of(PAYLOAD_SCHEMA),
+ observedRows ->
+ observedRows.equals(
+ ImmutableSet.of(
+ row(PAYLOAD_SCHEMA, 3, "foo"),
+ row(PAYLOAD_SCHEMA, 5, "bar"),
+ row(PAYLOAD_SCHEMA, 7, "baz")))));
+
+ // Start the pipeline
+ pipeline.run();
+
+ // Block until a subscription for this topic exists
+ eventsTopic.assertSubscriptionEventuallyCreated(
+ pipeline.getOptions().as(GcpOptions.class).getProject(),
Duration.standardMinutes(5));
+
+ // Start publishing the messages when main pipeline is started and
signaling topic is ready
+ eventsTopic.publish(messages);
+
+ // Poll the signaling topic for success message
+ resultSignal.waitForSuccess(Duration.standardMinutes(5));
+ }
+
+ @Test
+ public void testUsesDlq() throws Exception {
+ String createTableString =
+ String.format(
+ "CREATE EXTERNAL TABLE message (\n"
+ + "event_timestamp TIMESTAMP, \n"
+ + "attributes MAP<VARCHAR, VARCHAR>, \n"
+ + "payload ROW< \n"
+ + " id INTEGER, \n"
+ + " name VARCHAR \n"
+ + " > \n"
+ + ") \n"
+ + "TYPE '%s' \n"
+ + "LOCATION '%s' \n"
+ + "TBLPROPERTIES "
+ + " '{ "
+ + " %s"
+ + " \"timestampAttributeKey\" : \"ts\", "
+ + " \"deadLetterQueue\" : \"%s\""
+ + " }'",
+ tableProvider.getTableType(),
+ eventsTopic.topicPath(),
+ payloadFormatParam,
+ dlqTopic.topicPath());
+
+ String queryString = "SELECT message.payload.id, message.payload.name from
message";
+
+ // Prepare messages to send later
+ List<PubsubMessage> messages =
+ ImmutableList.of(
+ messageIdName(ts(1), 3, "foo"),
+ messageIdName(ts(2), 5, "bar"),
+ messageIdName(ts(3), 7, "baz"),
+ messagePayload(ts(4), "{ - }"), // invalid message, will go to DLQ
+ messagePayload(ts(5), "{ + }")); // invalid message, will go to DLQ
+
+ // Initialize SQL environment and create the pubsub table
+ BeamSqlEnv sqlEnv = BeamSqlEnv.inMemory(new PubsubTableProvider());
+ sqlEnv.executeDdl(createTableString);
+
+ // Apply the PTransform to query the pubsub topic
+ PCollection<Row> queryOutput = query(sqlEnv, pipeline, queryString);
+
+ // Observe the query results and send success signal after seeing the
expected messages
+ queryOutput.apply(
+ "waitForSuccess",
+ resultSignal.signalSuccessWhen(
+ SchemaCoder.of(PAYLOAD_SCHEMA),
+ observedRows ->
+ observedRows.equals(
+ ImmutableSet.of(
+ row(PAYLOAD_SCHEMA, 3, "foo"),
+ row(PAYLOAD_SCHEMA, 5, "bar"),
+ row(PAYLOAD_SCHEMA, 7, "baz")))));
+
+ // Start the pipeline
+ pipeline.run();
+
+ // Block until a subscription for this topic exists
+ eventsTopic.assertSubscriptionEventuallyCreated(
+ pipeline.getOptions().as(GcpOptions.class).getProject(),
Duration.standardMinutes(5));
+
+ // Start publishing the messages when main pipeline is started and
signaling topics are ready
+ eventsTopic.publish(messages);
+
+ // Poll the signaling topic for success message
+ resultSignal.waitForSuccess(Duration.standardMinutes(4));
+ dlqTopic
+ .assertThatTopicEventuallyReceives(
+ matcherPayload(ts(4), "{ - }"), matcherPayload(ts(5), "{ + }"))
+ .waitForUpTo(Duration.standardSeconds(20));
+ }
+
+ @Test
+ public void testSQLLimit() throws Exception {
+ String createTableString =
+ String.format(
+ "CREATE EXTERNAL TABLE message (\n"
+ + "event_timestamp TIMESTAMP, \n"
+ + "attributes MAP<VARCHAR, VARCHAR>, \n"
+ + "payload ROW< \n"
+ + " id INTEGER, \n"
+ + " name VARCHAR \n"
+ + " > \n"
+ + ") \n"
+ + "TYPE '%s' \n"
+ + "LOCATION '%s' \n"
+ + "TBLPROPERTIES "
+ + " '{ "
+ + " %s"
+ + " \"timestampAttributeKey\" : \"ts\", "
+ + " \"deadLetterQueue\" : \"%s\""
+ + " }'",
+ tableProvider.getTableType(),
+ eventsTopic.topicPath(),
+ payloadFormatParam,
+ dlqTopic.topicPath());
+
+ List<PubsubMessage> messages =
+ ImmutableList.of(
+ messageIdName(ts(1), 3, "foo"),
+ messageIdName(ts(2), 5, "bar"),
+ messageIdName(ts(3), 7, "baz"),
+ messageIdName(ts(4), 9, "ba2"),
+ messageIdName(ts(5), 10, "ba3"),
+ messageIdName(ts(6), 13, "ba4"),
+ messageIdName(ts(7), 15, "ba5"));
+
+ // We need the default options on the schema to include the project passed
in for the
+ // integration test
+ CalciteConnection connection = connect(pipeline.getOptions(), new
PubsubTableProvider());
+
+ Statement statement = connection.createStatement();
+ statement.execute(createTableString);
+
+ // Because Pubsub only allow new subscription receives message after the
subscription is
+ // created, eventsTopic.publish(messages) can only be called after
statement.executeQuery.
+ // However, because statement.executeQuery is a blocking call, it has to
be put into a
+ // seperate thread to execute.
+ ExecutorService pool = Executors.newFixedThreadPool(1);
+ Future<List<String>> queryResult =
+ pool.submit(
+ (Callable)
+ () -> {
+ ResultSet resultSet =
+ statement.executeQuery("SELECT message.payload.id FROM
message LIMIT 3");
+ ImmutableList.Builder<String> result =
ImmutableList.builder();
+ while (resultSet.next()) {
+ result.add(resultSet.getString(1));
+ }
+ return result.build();
+ });
+
+ eventsTopic.assertSubscriptionEventuallyCreated(
+ pipeline.getOptions().as(GcpOptions.class).getProject(),
Duration.standardMinutes(5));
+ eventsTopic.publish(messages);
+ assertThat(queryResult.get(2, TimeUnit.MINUTES).size(), equalTo(3));
+ pool.shutdown();
+ }
+
+ @Test
+ public void testWritesRowsToPubsub() throws Exception {
+ Schema personSchema =
+ Schema.builder()
+ .addStringField("name")
+ .addInt32Field("height")
+ .addBooleanField("knowsJavascript")
+ .build();
+ PCollection<Row> rows =
+ pipeline
+ .apply(
+ Create.of(
+ row(personSchema, "person1", 80, true),
+ row(personSchema, "person2", 70, false),
+ row(personSchema, "person3", 60, true),
+ row(personSchema, "person4", 50, false),
+ row(personSchema, "person5", 40, true)))
+ .setRowSchema(personSchema)
+ .apply(
+ SqlTransform.query(
+ "SELECT name FROM PCOLLECTION AS person WHERE
person.knowsJavascript"));
+ // Convert rows to proper format and write to pubsub
+ PCollection<String> rowsStrings = applyRowsToStrings(rows);
+
rowsStrings.apply(PubsubIO.writeStrings().to(eventsTopic.topicPath().getPath()));
+
+ pipeline.run().waitUntilFinish(Duration.standardMinutes(5));
+
+ eventsTopic
+ .assertThatTopicEventuallyReceives(
+ matcherNames("person1"), matcherNames("person3"),
matcherNames("person5"))
+ .waitForUpTo(Duration.standardSeconds(20));
+ }
Review comment:
I think it may be better to just get rid of this test. I added it as a
stepping stone when I was adding support for writing JSON to PubSub (see
https://github.com/apache/beam/pull/9880). But it's just adding unnecessary
complexity to keep it around now, the write path is thoroughly tested
end-to-end in the tests below this one.
If we get rid of this you won't need `applyRowsToStrings`
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