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[yaml] Adding Spanner IO Providers for Beam YAML #31987

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Original file line number Diff line number Diff line change
Expand Up @@ -18,13 +18,14 @@
package org.apache.beam.sdk.schemas.transforms.providers;

import com.google.auto.value.AutoValue;
import java.io.Serializable;
import javax.annotation.Nullable;
import org.apache.beam.sdk.schemas.Schema;
import org.apache.beam.sdk.schemas.annotations.SchemaFieldDescription;
import org.apache.beam.sdk.values.Row;

@AutoValue
public abstract class ErrorHandling {
public abstract class ErrorHandling implements Serializable {
@SchemaFieldDescription("The name of the output PCollection containing failed writes.")
public abstract String getOutput();

Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -26,8 +26,11 @@
import com.google.cloud.Timestamp;
import com.google.cloud.spanner.Key;
import com.google.cloud.spanner.Mutation;
import com.google.cloud.spanner.Value;
import java.math.BigDecimal;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.StreamSupport;
import org.apache.beam.sdk.schemas.Schema;
import org.apache.beam.sdk.transforms.SerializableFunction;
Expand Down Expand Up @@ -351,4 +354,61 @@ private static void addIterableToMutationBuilder(
beamIterableType.getTypeName()));
}
}

public static Row createRowFromMutation(Schema schema, Mutation mutation) {
Map<String, Object> mutationHashMap = new HashMap<>();
mutation
.asMap()
.forEach(
(column, value) -> mutationHashMap.put(column, convertValueToBeamFieldType(value)));
return Row.withSchema(schema).withFieldValues(mutationHashMap).build();
}

public static Object convertValueToBeamFieldType(Value value) {
switch (value.getType().getCode()) {
case BOOL:
return value.getBool();
case BYTES:
return value.getBytes();
case DATE:
return value.getDate();
case INT64:
return value.getInt64();
case FLOAT64:
return value.getFloat64();
case NUMERIC:
return value.getNumeric();
case TIMESTAMP:
return value.getTimestamp();
case STRING:
return value.getString();
case JSON:
return value.getJson();
case ARRAY:
switch (value.getType().getArrayElementType().getCode()) {
case BOOL:
return value.getBoolArray();
case BYTES:
return value.getBytesArray();
case DATE:
return value.getDateArray();
case INT64:
return value.getInt64Array();
case FLOAT64:
return value.getFloat64Array();
case NUMERIC:
return value.getNumericArray();
case TIMESTAMP:
return value.getTimestampArray();
case STRING:
return value.getStringArray();
case JSON:
return value.getJsonArray();
default:
return value.toString();
}
default:
return value.toString();
}
}
}
Original file line number Diff line number Diff line change
@@ -0,0 +1,235 @@
/*
* 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 static org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Preconditions.checkArgument;
import static org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Preconditions.checkNotNull;

import com.google.auto.service.AutoService;
import com.google.auto.value.AutoValue;
import com.google.cloud.spanner.Struct;
import java.io.Serializable;
import java.util.Collections;
import java.util.List;
import javax.annotation.Nullable;
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.annotations.SchemaFieldDescription;
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.MapElements;
import org.apache.beam.sdk.values.PCollection;
import org.apache.beam.sdk.values.PCollectionRowTuple;
import org.apache.beam.sdk.values.Row;
import org.apache.beam.sdk.values.TypeDescriptor;
import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Strings;
import org.checkerframework.checker.initialization.qual.Initialized;
import org.checkerframework.checker.nullness.qual.NonNull;
import org.checkerframework.checker.nullness.qual.UnknownKeyFor;

@SuppressWarnings({
"nullness" // TODO(https://github.com/apache/beam/issues/20497)
})
/**
* A provider for reading from Cloud Spanner using a Schema Transform Provider.
*
* <p>This provider enables reading from Cloud Spanner using a specified SQL query or by directly
* accessing a table and its columns. It supports configuration through the {@link
* SpannerReadSchemaTransformConfiguration} class, allowing users to specify project, instance,
* database, table, query, and columns.
*
* <p>The transformation leverages the {@link SpannerIO} to perform the read operation and maps the
* results to Beam rows, preserving the schema.
*
* <p>Example usage in a YAML pipeline using query:
*
* <pre>{@code
* pipeline:
* transforms:
* - type: ReadFromSpanner
* name: ReadShipments
* # Columns: shipment_id, customer_id, shipment_date, shipment_cost, customer_name, customer_email
* config:
* project_id: 'apache-beam-testing'
* instance_id: 'shipment-test'
* database_id: 'shipment'
* query: 'SELECT * FROM shipments'
* }</pre>
*
* <p>Example usage in a YAML pipeline using a table and columns:
*
* <pre>{@code
* pipeline:
* transforms:
* - type: ReadFromSpanner
* name: ReadShipments
* # Columns: shipment_id, customer_id, shipment_date, shipment_cost, customer_name, customer_email
* config:
* project_id: 'apache-beam-testing'
* instance_id: 'shipment-test'
* database_id: 'shipment'
* table: 'shipments'
* columns: ['customer_id', 'customer_name']
* }</pre>
*/
@AutoService(SchemaTransformProvider.class)
public class SpannerReadSchemaTransformProvider
extends TypedSchemaTransformProvider<
SpannerReadSchemaTransformProvider.SpannerReadSchemaTransformConfiguration> {

static class SpannerSchemaTransformRead extends SchemaTransform implements Serializable {
private final SpannerReadSchemaTransformConfiguration configuration;

SpannerSchemaTransformRead(SpannerReadSchemaTransformConfiguration configuration) {
configuration.validate();
this.configuration = configuration;
}

@Override
public PCollectionRowTuple expand(PCollectionRowTuple input) {
checkNotNull(input, "Input to SpannerReadSchemaTransform cannot be null.");
SpannerIO.Read read =
SpannerIO.readWithSchema()
.withProjectId(configuration.getProjectId())
.withInstanceId(configuration.getInstanceId())
.withDatabaseId(configuration.getDatabaseId());

if (!Strings.isNullOrEmpty(configuration.getQuery())) {
read = read.withQuery(configuration.getQuery());
} else {
read = read.withTable(configuration.getTableId()).withColumns(configuration.getColumns());
}
PCollection<Struct> spannerRows = input.getPipeline().apply(read);
Schema schema = spannerRows.getSchema();
PCollection<Row> rows =
spannerRows.apply(
MapElements.into(TypeDescriptor.of(Row.class))
.via((Struct struct) -> StructUtils.structToBeamRow(struct, schema)));

return PCollectionRowTuple.of("output", rows.setRowSchema(schema));
}
}

@Override
public @UnknownKeyFor @NonNull @Initialized String identifier() {
return "beam:schematransform:org.apache.beam:spanner_read:v1";
}

@Override
public @UnknownKeyFor @NonNull @Initialized List<@UnknownKeyFor @NonNull @Initialized String>
inputCollectionNames() {
return Collections.emptyList();
}

@Override
public @UnknownKeyFor @NonNull @Initialized List<@UnknownKeyFor @NonNull @Initialized String>
outputCollectionNames() {
return Collections.singletonList("output");
}

@DefaultSchema(AutoValueSchema.class)
@AutoValue
public abstract static class SpannerReadSchemaTransformConfiguration implements Serializable {
@AutoValue.Builder
@Nullable
public abstract static class Builder {
public abstract Builder setProjectId(String projectId);

public abstract Builder setInstanceId(String instanceId);

public abstract Builder setDatabaseId(String databaseId);

public abstract Builder setTableId(String tableId);

public abstract Builder setQuery(String query);

public abstract Builder setColumns(List<String> columns);

public abstract SpannerReadSchemaTransformConfiguration build();
}

public void validate() {
String invalidConfigMessage = "Invalid Cloud Spanner Read configuration: ";
checkArgument(
!Strings.isNullOrEmpty(this.getInstanceId()),
invalidConfigMessage + "Instance ID must be specified.");
checkArgument(
!Strings.isNullOrEmpty(this.getDatabaseId()),
invalidConfigMessage + "Database ID must be specified.");
if (Strings.isNullOrEmpty(this.getQuery())) {
checkArgument(
!Strings.isNullOrEmpty(this.getTableId()),
invalidConfigMessage + "Table name must be specified for table read.");
checkArgument(
this.getColumns() != null && !this.getColumns().isEmpty(),
invalidConfigMessage + "Columns must be specified for table read.");
} else {
checkArgument(
!Strings.isNullOrEmpty(this.getQuery()),
invalidConfigMessage + "Query must be specified for query read.");
checkArgument(
Strings.isNullOrEmpty(this.getTableId()),
invalidConfigMessage + "Table name should not be specified when using a query.");
checkArgument(
this.getColumns() == null || this.getColumns().isEmpty(),
invalidConfigMessage + "Columns should not be specified when using a query.");
}
}

public static Builder builder() {
return new AutoValue_SpannerReadSchemaTransformProvider_SpannerReadSchemaTransformConfiguration
.Builder();
}

@SchemaFieldDescription("Specifies the GCP project ID.")
@Nullable
public abstract String getProjectId();

@SchemaFieldDescription("Specifies the Cloud Spanner instance.")
public abstract String getInstanceId();

@SchemaFieldDescription("Specifies the Cloud Spanner database.")
public abstract String getDatabaseId();

@SchemaFieldDescription("Specifies the Cloud Spanner table.")
@Nullable
public abstract String getTableId();

@SchemaFieldDescription("Specifies the SQL query to execute.")
@Nullable
public abstract String getQuery();

@SchemaFieldDescription("Specifies the columns to read from the table.")
@Nullable
public abstract List<String> getColumns();
}

@Override
protected @UnknownKeyFor @NonNull @Initialized Class<SpannerReadSchemaTransformConfiguration>
configurationClass() {
return SpannerReadSchemaTransformConfiguration.class;
}

@Override
protected @UnknownKeyFor @NonNull @Initialized SchemaTransform from(
SpannerReadSchemaTransformConfiguration configuration) {
return new SpannerSchemaTransformRead(configuration);
}
}
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