blob: 8bd4f7e1e9bcb666192c2979a1a7ee42a788d3ab [file] [log] [blame]
/*
* 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.jdbc;
import static org.apache.beam.vendor.guava.v20_0.com.google.common.base.Preconditions.checkArgument;
import com.google.auto.value.AutoValue;
import java.io.IOException;
import java.io.Serializable;
import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.ArrayList;
import java.util.List;
import java.util.function.Predicate;
import javax.annotation.Nullable;
import javax.sql.DataSource;
import org.apache.beam.sdk.annotations.Experimental;
import org.apache.beam.sdk.coders.Coder;
import org.apache.beam.sdk.options.ValueProvider;
import org.apache.beam.sdk.transforms.Create;
import org.apache.beam.sdk.transforms.DoFn;
import org.apache.beam.sdk.transforms.Filter;
import org.apache.beam.sdk.transforms.PTransform;
import org.apache.beam.sdk.transforms.ParDo;
import org.apache.beam.sdk.transforms.Reshuffle;
import org.apache.beam.sdk.transforms.SerializableFunction;
import org.apache.beam.sdk.transforms.SerializableFunctions;
import org.apache.beam.sdk.transforms.View;
import org.apache.beam.sdk.transforms.Wait;
import org.apache.beam.sdk.transforms.display.DisplayData;
import org.apache.beam.sdk.transforms.display.HasDisplayData;
import org.apache.beam.sdk.util.BackOff;
import org.apache.beam.sdk.util.BackOffUtils;
import org.apache.beam.sdk.util.FluentBackoff;
import org.apache.beam.sdk.util.Sleeper;
import org.apache.beam.sdk.values.PBegin;
import org.apache.beam.sdk.values.PCollection;
import org.apache.beam.sdk.values.PCollectionView;
import org.apache.beam.sdk.values.PDone;
import org.apache.commons.dbcp2.BasicDataSource;
import org.apache.commons.dbcp2.DataSourceConnectionFactory;
import org.apache.commons.dbcp2.PoolableConnectionFactory;
import org.apache.commons.dbcp2.PoolingDataSource;
import org.apache.commons.pool2.impl.GenericObjectPool;
import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.joda.time.Duration;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* IO to read and write data on JDBC.
*
* <h3>Reading from JDBC datasource</h3>
*
* <p>JdbcIO source returns a bounded collection of {@code T} as a {@code PCollection<T>}. T is the
* type returned by the provided {@link RowMapper}.
*
* <p>To configure the JDBC source, you have to provide a {@link DataSourceConfiguration} using<br>
* 1. {@link DataSourceConfiguration#create(DataSource)}(which must be {@link Serializable});<br>
* 2. or {@link DataSourceConfiguration#create(String, String)}(driver class name and url).
* Optionally, {@link DataSourceConfiguration#withUsername(String)} and {@link
* DataSourceConfiguration#withPassword(String)} allows you to define username and password.
*
* <p>For example:
*
* <pre>{@code
* pipeline.apply(JdbcIO.<KV<Integer, String>>read()
* .withDataSourceConfiguration(JdbcIO.DataSourceConfiguration.create(
* "com.mysql.jdbc.Driver", "jdbc:mysql://hostname:3306/mydb")
* .withUsername("username")
* .withPassword("password"))
* .withQuery("select id,name from Person")
* .withCoder(KvCoder.of(BigEndianIntegerCoder.of(), StringUtf8Coder.of()))
* .withRowMapper(new JdbcIO.RowMapper<KV<Integer, String>>() {
* public KV<Integer, String> mapRow(ResultSet resultSet) throws Exception {
* return KV.of(resultSet.getInt(1), resultSet.getString(2));
* }
* })
* );
* }</pre>
*
* <p>Query parameters can be configured using a user-provided {@link StatementPreparator}. For
* example:
*
* <pre>{@code
* pipeline.apply(JdbcIO.<KV<Integer, String>>read()
* .withDataSourceConfiguration(JdbcIO.DataSourceConfiguration.create(
* "com.mysql.jdbc.Driver", "jdbc:mysql://hostname:3306/mydb",
* "username", "password"))
* .withQuery("select id,name from Person where name = ?")
* .withCoder(KvCoder.of(BigEndianIntegerCoder.of(), StringUtf8Coder.of()))
* .withStatementPreparator(new JdbcIO.StatementPreparator() {
* public void setParameters(PreparedStatement preparedStatement) throws Exception {
* preparedStatement.setString(1, "Darwin");
* }
* })
* .withRowMapper(new JdbcIO.RowMapper<KV<Integer, String>>() {
* public KV<Integer, String> mapRow(ResultSet resultSet) throws Exception {
* return KV.of(resultSet.getInt(1), resultSet.getString(2));
* }
* })
* );
* }</pre>
*
* <p>To customize the building of the {@link DataSource} we can provide a {@link
* SerializableFunction}. For example if you need to provide a {@link PoolingDataSource} from an
* existing {@link DataSourceConfiguration}: you can use a {@link PoolableDataSourceProvider}:
*
* <pre>{@code
* pipeline.apply(JdbcIO.<KV<Integer, String>>read()
* .withDataSourceProviderFn(JdbcIO.PoolableDataSourceProvider.of(
* JdbcIO.DataSourceConfiguration.create(
* "com.mysql.jdbc.Driver", "jdbc:mysql://hostname:3306/mydb",
* "username", "password")))
* // ...
* );
* }</pre>
*
* By default, the provided function instantiates a DataSource per execution thread. In some
* circumstances, such as DataSources that have a pool of connections, this can quickly overwhelm
* the database by requesting too many connections. In that case you should make the DataSource a
* static singleton so it gets instantiated only once per JVM.
*
* <h3>Writing to JDBC datasource</h3>
*
* <p>JDBC sink supports writing records into a database. It writes a {@link PCollection} to the
* database by converting each T into a {@link PreparedStatement} via a user-provided {@link
* PreparedStatementSetter}.
*
* <p>Like the source, to configure the sink, you have to provide a {@link DataSourceConfiguration}.
*
* <pre>{@code
* pipeline
* .apply(...)
* .apply(JdbcIO.<KV<Integer, String>>write()
* .withDataSourceConfiguration(JdbcIO.DataSourceConfiguration.create(
* "com.mysql.jdbc.Driver", "jdbc:mysql://hostname:3306/mydb")
* .withUsername("username")
* .withPassword("password"))
* .withStatement("insert into Person values(?, ?)")
* .withPreparedStatementSetter(new JdbcIO.PreparedStatementSetter<KV<Integer, String>>() {
* public void setParameters(KV<Integer, String> element, PreparedStatement query)
* throws SQLException {
* query.setInt(1, element.getKey());
* query.setString(2, element.getValue());
* }
* })
* );
* }</pre>
*
* <p>NB: in case of transient failures, Beam runners may execute parts of JdbcIO.Write multiple
* times for fault tolerance. Because of that, you should avoid using {@code INSERT} statements,
* since that risks duplicating records in the database, or failing due to primary key conflicts.
* Consider using <a href="https://en.wikipedia.org/wiki/Merge_(SQL)">MERGE ("upsert")
* statements</a> supported by your database instead.
*/
@Experimental(Experimental.Kind.SOURCE_SINK)
public class JdbcIO {
private static final Logger LOG = LoggerFactory.getLogger(JdbcIO.class);
/**
* Read data from a JDBC datasource.
*
* @param <T> Type of the data to be read.
*/
public static <T> Read<T> read() {
return new AutoValue_JdbcIO_Read.Builder<T>()
.setFetchSize(DEFAULT_FETCH_SIZE)
.setOutputParallelization(true)
.build();
}
/**
* Like {@link #read}, but executes multiple instances of the query substituting each element of a
* {@link PCollection} as query parameters.
*
* @param <ParameterT> Type of the data representing query parameters.
* @param <OutputT> Type of the data to be read.
*/
public static <ParameterT, OutputT> ReadAll<ParameterT, OutputT> readAll() {
return new AutoValue_JdbcIO_ReadAll.Builder<ParameterT, OutputT>()
.setFetchSize(DEFAULT_FETCH_SIZE)
.setOutputParallelization(true)
.build();
}
private static final long DEFAULT_BATCH_SIZE = 1000L;
private static final int DEFAULT_FETCH_SIZE = 50_000;
/**
* Write data to a JDBC datasource.
*
* @param <T> Type of the data to be written.
*/
public static <T> Write<T> write() {
return new Write();
}
public static <T> WriteVoid<T> writeVoid() {
return new AutoValue_JdbcIO_WriteVoid.Builder<T>()
.setBatchSize(DEFAULT_BATCH_SIZE)
.setRetryStrategy(new DefaultRetryStrategy())
.build();
}
/**
* This is the default {@link Predicate} we use to detect DeadLock. It basically test if the
* {@link SQLException#getSQLState()} equals 40001. 40001 is the SQL State used by most of
* database to identify deadlock.
*/
public static class DefaultRetryStrategy implements RetryStrategy {
@Override
public boolean apply(SQLException e) {
return "40001".equals(e.getSQLState());
}
}
private JdbcIO() {}
/**
* An interface used by {@link JdbcIO.Read} for converting each row of the {@link ResultSet} into
* an element of the resulting {@link PCollection}.
*/
@FunctionalInterface
public interface RowMapper<T> extends Serializable {
T mapRow(ResultSet resultSet) throws Exception;
}
/**
* A POJO describing a {@link DataSource}, either providing directly a {@link DataSource} or all
* properties allowing to create a {@link DataSource}.
*/
@AutoValue
public abstract static class DataSourceConfiguration implements Serializable {
@Nullable
abstract ValueProvider<String> getDriverClassName();
@Nullable
abstract ValueProvider<String> getUrl();
@Nullable
abstract ValueProvider<String> getUsername();
@Nullable
abstract ValueProvider<String> getPassword();
@Nullable
abstract ValueProvider<String> getConnectionProperties();
@Nullable
abstract DataSource getDataSource();
abstract Builder builder();
@AutoValue.Builder
abstract static class Builder {
abstract Builder setDriverClassName(ValueProvider<String> driverClassName);
abstract Builder setUrl(ValueProvider<String> url);
abstract Builder setUsername(ValueProvider<String> username);
abstract Builder setPassword(ValueProvider<String> password);
abstract Builder setConnectionProperties(ValueProvider<String> connectionProperties);
abstract Builder setDataSource(DataSource dataSource);
abstract DataSourceConfiguration build();
}
public static DataSourceConfiguration create(DataSource dataSource) {
checkArgument(dataSource != null, "dataSource can not be null");
checkArgument(dataSource instanceof Serializable, "dataSource must be Serializable");
return new AutoValue_JdbcIO_DataSourceConfiguration.Builder()
.setDataSource(dataSource)
.build();
}
public static DataSourceConfiguration create(String driverClassName, String url) {
checkArgument(driverClassName != null, "driverClassName can not be null");
checkArgument(url != null, "url can not be null");
return create(
ValueProvider.StaticValueProvider.of(driverClassName),
ValueProvider.StaticValueProvider.of(url));
}
public static DataSourceConfiguration create(
ValueProvider<String> driverClassName, ValueProvider<String> url) {
checkArgument(driverClassName != null, "driverClassName can not be null");
checkArgument(url != null, "url can not be null");
return new AutoValue_JdbcIO_DataSourceConfiguration.Builder()
.setDriverClassName(driverClassName)
.setUrl(url)
.build();
}
public DataSourceConfiguration withUsername(String username) {
return withUsername(ValueProvider.StaticValueProvider.of(username));
}
public DataSourceConfiguration withUsername(ValueProvider<String> username) {
return builder().setUsername(username).build();
}
public DataSourceConfiguration withPassword(String password) {
return withPassword(ValueProvider.StaticValueProvider.of(password));
}
public DataSourceConfiguration withPassword(ValueProvider<String> password) {
return builder().setPassword(password).build();
}
/**
* Sets the connection properties passed to driver.connect(...). Format of the string must be
* [propertyName=property;]*
*
* <p>NOTE - The "user" and "password" properties can be add via {@link #withUsername(String)},
* {@link #withPassword(String)}, so they do not need to be included here.
*/
public DataSourceConfiguration withConnectionProperties(String connectionProperties) {
checkArgument(connectionProperties != null, "connectionProperties can not be null");
return withConnectionProperties(ValueProvider.StaticValueProvider.of(connectionProperties));
}
/** Same as {@link #withConnectionProperties(String)} but accepting a ValueProvider. */
public DataSourceConfiguration withConnectionProperties(
ValueProvider<String> connectionProperties) {
checkArgument(connectionProperties != null, "connectionProperties can not be null");
return builder().setConnectionProperties(connectionProperties).build();
}
void populateDisplayData(DisplayData.Builder builder) {
if (getDataSource() != null) {
builder.addIfNotNull(DisplayData.item("dataSource", getDataSource().getClass().getName()));
} else {
builder.addIfNotNull(DisplayData.item("jdbcDriverClassName", getDriverClassName()));
builder.addIfNotNull(DisplayData.item("jdbcUrl", getUrl()));
builder.addIfNotNull(DisplayData.item("username", getUsername()));
}
}
DataSource buildDatasource() {
if (getDataSource() == null) {
BasicDataSource basicDataSource = new BasicDataSource();
if (getDriverClassName() != null) {
basicDataSource.setDriverClassName(getDriverClassName().get());
}
if (getUrl() != null) {
basicDataSource.setUrl(getUrl().get());
}
if (getUsername() != null) {
basicDataSource.setUsername(getUsername().get());
}
if (getPassword() != null) {
basicDataSource.setPassword(getPassword().get());
}
if (getConnectionProperties() != null && getConnectionProperties().get() != null) {
basicDataSource.setConnectionProperties(getConnectionProperties().get());
}
return basicDataSource;
}
return getDataSource();
}
}
/** Wraps a {@link DataSourceConfiguration} to provide a {@link PoolingDataSource}. */
public static class PoolableDataSourceProvider extends BaseDataSourceProvider {
private static SerializableFunction<Void, DataSource> instance = null;
private PoolableDataSourceProvider(
SerializableFunction<Void, DataSource> dataSourceProviderFn) {
super(dataSourceProviderFn);
}
public static SerializableFunction<Void, DataSource> of(DataSourceConfiguration config) {
if (instance == null) {
instance =
MemoizedDataSourceProvider.of(
new PoolableDataSourceProvider(
DataSourceProviderFromDataSourceConfiguration.of(config)));
}
return instance;
}
@Override
public DataSource apply(Void input) {
DataSource current = super.dataSourceProviderFn.apply(input);
// wrapping the datasource as a pooling datasource
DataSourceConnectionFactory connectionFactory = new DataSourceConnectionFactory(current);
PoolableConnectionFactory poolableConnectionFactory =
new PoolableConnectionFactory(connectionFactory, null);
GenericObjectPoolConfig poolConfig = new GenericObjectPoolConfig();
poolConfig.setMaxTotal(1);
poolConfig.setMinIdle(0);
poolConfig.setMinEvictableIdleTimeMillis(10000);
poolConfig.setSoftMinEvictableIdleTimeMillis(30000);
GenericObjectPool connectionPool =
new GenericObjectPool(poolableConnectionFactory, poolConfig);
poolableConnectionFactory.setPool(connectionPool);
poolableConnectionFactory.setDefaultAutoCommit(false);
poolableConnectionFactory.setDefaultReadOnly(false);
return new PoolingDataSource(connectionPool);
}
}
/**
* An interface used by the JdbcIO Write to set the parameters of the {@link PreparedStatement}
* used to setParameters into the database.
*/
@FunctionalInterface
public interface StatementPreparator extends Serializable {
void setParameters(PreparedStatement preparedStatement) throws Exception;
}
/** Implementation of {@link #read}. */
@AutoValue
public abstract static class Read<T> extends PTransform<PBegin, PCollection<T>> {
/** @deprecated It is not needed anymore. It will be removed in a future version of Beam. */
@Deprecated
@Nullable
abstract DataSourceConfiguration getDataSourceConfiguration();
@Nullable
abstract SerializableFunction<Void, DataSource> getDataSourceProviderFn();
@Nullable
abstract ValueProvider<String> getQuery();
@Nullable
abstract StatementPreparator getStatementPreparator();
@Nullable
abstract RowMapper<T> getRowMapper();
@Nullable
abstract Coder<T> getCoder();
abstract int getFetchSize();
abstract boolean getOutputParallelization();
abstract Builder<T> toBuilder();
@AutoValue.Builder
abstract static class Builder<T> {
/** @deprecated It is not needed anymore. It will be removed in a future version of Beam. */
@Deprecated
abstract Builder<T> setDataSourceConfiguration(DataSourceConfiguration config);
abstract Builder<T> setDataSourceProviderFn(
SerializableFunction<Void, DataSource> dataSourceProviderFn);
abstract Builder<T> setQuery(ValueProvider<String> query);
abstract Builder<T> setStatementPreparator(StatementPreparator statementPreparator);
abstract Builder<T> setRowMapper(RowMapper<T> rowMapper);
abstract Builder<T> setCoder(Coder<T> coder);
abstract Builder<T> setFetchSize(int fetchSize);
abstract Builder<T> setOutputParallelization(boolean outputParallelization);
abstract Read<T> build();
}
public Read<T> withDataSourceConfiguration(final DataSourceConfiguration config) {
toBuilder().setDataSourceConfiguration(config);
return withDataSourceProviderFn(new DataSourceProviderFromDataSourceConfiguration(config));
}
public Read<T> withDataSourceProviderFn(
SerializableFunction<Void, DataSource> dataSourceProviderFn) {
return toBuilder().setDataSourceProviderFn(dataSourceProviderFn).build();
}
public Read<T> withQuery(String query) {
checkArgument(query != null, "query can not be null");
return withQuery(ValueProvider.StaticValueProvider.of(query));
}
public Read<T> withQuery(ValueProvider<String> query) {
checkArgument(query != null, "query can not be null");
return toBuilder().setQuery(query).build();
}
public Read<T> withStatementPreparator(StatementPreparator statementPreparator) {
checkArgument(statementPreparator != null, "statementPreparator can not be null");
return toBuilder().setStatementPreparator(statementPreparator).build();
}
public Read<T> withRowMapper(RowMapper<T> rowMapper) {
checkArgument(rowMapper != null, "rowMapper can not be null");
return toBuilder().setRowMapper(rowMapper).build();
}
public Read<T> withCoder(Coder<T> coder) {
checkArgument(coder != null, "coder can not be null");
return toBuilder().setCoder(coder).build();
}
/**
* This method is used to set the size of the data that is going to be fetched and loaded in
* memory per every database call. Please refer to: {@link java.sql.Statement#setFetchSize(int)}
* It should ONLY be used if the default value throws memory errors.
*/
public Read<T> withFetchSize(int fetchSize) {
checkArgument(fetchSize > 0, "fetch size must be > 0");
return toBuilder().setFetchSize(fetchSize).build();
}
/**
* Whether to reshuffle the resulting PCollection so results are distributed to all workers. The
* default is to parallelize and should only be changed if this is known to be unnecessary.
*/
public Read<T> withOutputParallelization(boolean outputParallelization) {
return toBuilder().setOutputParallelization(outputParallelization).build();
}
@Override
public PCollection<T> expand(PBegin input) {
checkArgument(getQuery() != null, "withQuery() is required");
checkArgument(getRowMapper() != null, "withRowMapper() is required");
checkArgument(getCoder() != null, "withCoder() is required");
checkArgument(
(getDataSourceProviderFn() != null),
"withDataSourceConfiguration() or withDataSourceProviderFn() is required");
return input
.apply(Create.of((Void) null))
.apply(
JdbcIO.<Void, T>readAll()
.withDataSourceConfiguration(getDataSourceConfiguration())
.withDataSourceProviderFn(getDataSourceProviderFn())
.withQuery(getQuery())
.withCoder(getCoder())
.withRowMapper(getRowMapper())
.withFetchSize(getFetchSize())
.withOutputParallelization(getOutputParallelization())
.withParameterSetter(
(element, preparedStatement) -> {
if (getStatementPreparator() != null) {
getStatementPreparator().setParameters(preparedStatement);
}
}));
}
@Override
public void populateDisplayData(DisplayData.Builder builder) {
super.populateDisplayData(builder);
builder.add(DisplayData.item("query", getQuery()));
builder.add(DisplayData.item("rowMapper", getRowMapper().getClass().getName()));
builder.add(DisplayData.item("coder", getCoder().getClass().getName()));
if (getDataSourceProviderFn() instanceof HasDisplayData) {
((HasDisplayData) getDataSourceProviderFn()).populateDisplayData(builder);
}
}
}
/** Implementation of {@link #readAll}. */
@AutoValue
public abstract static class ReadAll<ParameterT, OutputT>
extends PTransform<PCollection<ParameterT>, PCollection<OutputT>> {
/** @deprecated It is not needed anymore. It will be removed in a future version of Beam. */
@Deprecated
@Nullable
abstract DataSourceConfiguration getDataSourceConfiguration();
@Nullable
abstract SerializableFunction<Void, DataSource> getDataSourceProviderFn();
@Nullable
abstract ValueProvider<String> getQuery();
@Nullable
abstract PreparedStatementSetter<ParameterT> getParameterSetter();
@Nullable
abstract RowMapper<OutputT> getRowMapper();
@Nullable
abstract Coder<OutputT> getCoder();
abstract int getFetchSize();
abstract boolean getOutputParallelization();
abstract Builder<ParameterT, OutputT> toBuilder();
@AutoValue.Builder
abstract static class Builder<ParameterT, OutputT> {
/** @deprecated It is not needed anymore. It will be removed in a future version of Beam. */
@Deprecated
abstract Builder<ParameterT, OutputT> setDataSourceConfiguration(
DataSourceConfiguration config);
abstract Builder<ParameterT, OutputT> setDataSourceProviderFn(
SerializableFunction<Void, DataSource> dataSourceProviderFn);
abstract Builder<ParameterT, OutputT> setQuery(ValueProvider<String> query);
abstract Builder<ParameterT, OutputT> setParameterSetter(
PreparedStatementSetter<ParameterT> parameterSetter);
abstract Builder<ParameterT, OutputT> setRowMapper(RowMapper<OutputT> rowMapper);
abstract Builder<ParameterT, OutputT> setCoder(Coder<OutputT> coder);
abstract Builder<ParameterT, OutputT> setFetchSize(int fetchSize);
abstract Builder<ParameterT, OutputT> setOutputParallelization(boolean outputParallelization);
abstract ReadAll<ParameterT, OutputT> build();
}
public ReadAll<ParameterT, OutputT> withDataSourceConfiguration(
DataSourceConfiguration config) {
toBuilder().setDataSourceConfiguration(config);
return withDataSourceProviderFn(new DataSourceProviderFromDataSourceConfiguration(config));
}
public ReadAll<ParameterT, OutputT> withDataSourceProviderFn(
SerializableFunction<Void, DataSource> dataSourceProviderFn) {
return toBuilder().setDataSourceProviderFn(dataSourceProviderFn).build();
}
public ReadAll<ParameterT, OutputT> withQuery(String query) {
checkArgument(query != null, "JdbcIO.readAll().withQuery(query) called with null query");
return withQuery(ValueProvider.StaticValueProvider.of(query));
}
public ReadAll<ParameterT, OutputT> withQuery(ValueProvider<String> query) {
checkArgument(query != null, "JdbcIO.readAll().withQuery(query) called with null query");
return toBuilder().setQuery(query).build();
}
public ReadAll<ParameterT, OutputT> withParameterSetter(
PreparedStatementSetter<ParameterT> parameterSetter) {
checkArgument(
parameterSetter != null,
"JdbcIO.readAll().withParameterSetter(parameterSetter) called "
+ "with null statementPreparator");
return toBuilder().setParameterSetter(parameterSetter).build();
}
public ReadAll<ParameterT, OutputT> withRowMapper(RowMapper<OutputT> rowMapper) {
checkArgument(
rowMapper != null,
"JdbcIO.readAll().withRowMapper(rowMapper) called with null rowMapper");
return toBuilder().setRowMapper(rowMapper).build();
}
public ReadAll<ParameterT, OutputT> withCoder(Coder<OutputT> coder) {
checkArgument(coder != null, "JdbcIO.readAll().withCoder(coder) called with null coder");
return toBuilder().setCoder(coder).build();
}
/**
* This method is used to set the size of the data that is going to be fetched and loaded in
* memory per every database call. Please refer to: {@link java.sql.Statement#setFetchSize(int)}
* It should ONLY be used if the default value throws memory errors.
*/
public ReadAll<ParameterT, OutputT> withFetchSize(int fetchSize) {
checkArgument(fetchSize > 0, "fetch size must be >0");
return toBuilder().setFetchSize(fetchSize).build();
}
/**
* Whether to reshuffle the resulting PCollection so results are distributed to all workers. The
* default is to parallelize and should only be changed if this is known to be unnecessary.
*/
public ReadAll<ParameterT, OutputT> withOutputParallelization(boolean outputParallelization) {
return toBuilder().setOutputParallelization(outputParallelization).build();
}
@Override
public PCollection<OutputT> expand(PCollection<ParameterT> input) {
PCollection<OutputT> output =
input
.apply(
ParDo.of(
new ReadFn<>(
getDataSourceProviderFn(),
getQuery(),
getParameterSetter(),
getRowMapper(),
getFetchSize())))
.setCoder(getCoder());
if (getOutputParallelization()) {
output = output.apply(new Reparallelize<>());
}
return output;
}
@Override
public void populateDisplayData(DisplayData.Builder builder) {
super.populateDisplayData(builder);
builder.add(DisplayData.item("query", getQuery()));
builder.add(DisplayData.item("rowMapper", getRowMapper().getClass().getName()));
builder.add(DisplayData.item("coder", getCoder().getClass().getName()));
if (getDataSourceProviderFn() instanceof HasDisplayData) {
((HasDisplayData) getDataSourceProviderFn()).populateDisplayData(builder);
}
}
}
/** A {@link DoFn} executing the SQL query to read from the database. */
private static class ReadFn<ParameterT, OutputT> extends DoFn<ParameterT, OutputT> {
private final SerializableFunction<Void, DataSource> dataSourceProviderFn;
private final ValueProvider<String> query;
private final PreparedStatementSetter<ParameterT> parameterSetter;
private final RowMapper<OutputT> rowMapper;
private final int fetchSize;
private DataSource dataSource;
private Connection connection;
private ReadFn(
SerializableFunction<Void, DataSource> dataSourceProviderFn,
ValueProvider<String> query,
PreparedStatementSetter<ParameterT> parameterSetter,
RowMapper<OutputT> rowMapper,
int fetchSize) {
this.dataSourceProviderFn = dataSourceProviderFn;
this.query = query;
this.parameterSetter = parameterSetter;
this.rowMapper = rowMapper;
this.fetchSize = fetchSize;
}
@Setup
public void setup() throws Exception {
dataSource = dataSourceProviderFn.apply(null);
connection = dataSource.getConnection();
}
@ProcessElement
public void processElement(ProcessContext context) throws Exception {
try (PreparedStatement statement =
connection.prepareStatement(
query.get(), ResultSet.TYPE_FORWARD_ONLY, ResultSet.CONCUR_READ_ONLY)) {
statement.setFetchSize(fetchSize);
parameterSetter.setParameters(context.element(), statement);
try (ResultSet resultSet = statement.executeQuery()) {
while (resultSet.next()) {
context.output(rowMapper.mapRow(resultSet));
}
}
}
}
@Teardown
public void teardown() throws Exception {
connection.close();
}
}
/**
* An interface used by the JdbcIO Write to set the parameters of the {@link PreparedStatement}
* used to setParameters into the database.
*/
@FunctionalInterface
public interface PreparedStatementSetter<T> extends Serializable {
void setParameters(T element, PreparedStatement preparedStatement) throws Exception;
}
/**
* An interface used to control if we retry the statements when a {@link SQLException} occurs. If
* {@link RetryStrategy#apply(SQLException)} returns true, {@link Write} tries to replay the
* statements.
*/
@FunctionalInterface
public interface RetryStrategy extends Serializable {
boolean apply(SQLException sqlException);
}
/**
* This class is used as the default return value of {@link JdbcIO#write()}.
*
* <p>All methods in this class delegate to the appropriate method of {@link JdbcIO.WriteVoid}.
*/
public static class Write<T> extends PTransform<PCollection<T>, PDone> {
final WriteVoid<T> inner;
Write() {
this(JdbcIO.writeVoid());
}
Write(WriteVoid<T> inner) {
this.inner = inner;
}
/** See {@link WriteVoid#withDataSourceConfiguration(DataSourceConfiguration)}. */
public Write<T> withDataSourceConfiguration(DataSourceConfiguration config) {
return new Write(
inner
.withDataSourceConfiguration(config)
.withDataSourceProviderFn(new DataSourceProviderFromDataSourceConfiguration(config)));
}
/** See {@link WriteVoid#withDataSourceProviderFn(SerializableFunction)}. */
public Write<T> withDataSourceProviderFn(
SerializableFunction<Void, DataSource> dataSourceProviderFn) {
return new Write(inner.withDataSourceProviderFn(dataSourceProviderFn));
}
/** See {@link WriteVoid#withStatement(String)}. */
public Write<T> withStatement(String statement) {
return new Write(inner.withStatement(statement));
}
/** See {@link WriteVoid#withPreparedStatementSetter(PreparedStatementSetter)}. */
public Write<T> withPreparedStatementSetter(PreparedStatementSetter<T> setter) {
return new Write(inner.withPreparedStatementSetter(setter));
}
/** See {@link WriteVoid#withBatchSize(long)}. */
public Write<T> withBatchSize(long batchSize) {
return new Write(inner.withBatchSize(batchSize));
}
/** See {@link WriteVoid#withRetryStrategy(RetryStrategy)}. */
public Write<T> withRetryStrategy(RetryStrategy retryStrategy) {
return new Write(inner.withRetryStrategy(retryStrategy));
}
/**
* Returns {@link WriteVoid} transform which can be used in {@link Wait#on(PCollection[])} to
* wait until all data is written.
*
* <p>Example: write a {@link PCollection} to one database and then to another database, making
* sure that writing a window of data to the second database starts only after the respective
* window has been fully written to the first database.
*
* <pre>{@code
* PCollection<Void> firstWriteResults = data.apply(JdbcIO.write()
* .withDataSourceConfiguration(CONF_DB_1).withResults());
* data.apply(Wait.on(firstWriteResults))
* .apply(JdbcIO.write().withDataSourceConfiguration(CONF_DB_2));
* }</pre>
*/
public WriteVoid<T> withResults() {
return inner;
}
@Override
public void populateDisplayData(DisplayData.Builder builder) {
inner.populateDisplayData(builder);
}
@Override
public PDone expand(PCollection<T> input) {
inner.expand(input);
return PDone.in(input.getPipeline());
}
}
/** A {@link PTransform} to write to a JDBC datasource. */
@AutoValue
public abstract static class WriteVoid<T> extends PTransform<PCollection<T>, PCollection<Void>> {
/** @deprecated It is not needed anymore. It will be removed in a future version of Beam. */
@Deprecated
@Nullable
abstract DataSourceConfiguration getDataSourceConfiguration();
@Nullable
abstract SerializableFunction<Void, DataSource> getDataSourceProviderFn();
@Nullable
abstract ValueProvider<String> getStatement();
abstract long getBatchSize();
@Nullable
abstract PreparedStatementSetter<T> getPreparedStatementSetter();
@Nullable
abstract RetryStrategy getRetryStrategy();
abstract Builder<T> toBuilder();
@AutoValue.Builder
abstract static class Builder<T> {
/** @deprecated It is not needed anymore. It will be removed in a future version of Beam. */
@Deprecated
abstract Builder<T> setDataSourceConfiguration(DataSourceConfiguration config);
abstract Builder<T> setDataSourceProviderFn(
SerializableFunction<Void, DataSource> dataSourceProviderFn);
abstract Builder<T> setStatement(ValueProvider<String> statement);
abstract Builder<T> setBatchSize(long batchSize);
abstract Builder<T> setPreparedStatementSetter(PreparedStatementSetter<T> setter);
abstract Builder<T> setRetryStrategy(RetryStrategy deadlockPredicate);
abstract WriteVoid<T> build();
}
public WriteVoid<T> withDataSourceConfiguration(DataSourceConfiguration config) {
toBuilder().setDataSourceConfiguration(config);
return withDataSourceProviderFn(new DataSourceProviderFromDataSourceConfiguration(config));
}
public WriteVoid<T> withDataSourceProviderFn(
SerializableFunction<Void, DataSource> dataSourceProviderFn) {
return toBuilder().setDataSourceProviderFn(dataSourceProviderFn).build();
}
public WriteVoid<T> withStatement(String statement) {
return withStatement(ValueProvider.StaticValueProvider.of(statement));
}
public WriteVoid<T> withStatement(ValueProvider<String> statement) {
return toBuilder().setStatement(statement).build();
}
public WriteVoid<T> withPreparedStatementSetter(PreparedStatementSetter<T> setter) {
return toBuilder().setPreparedStatementSetter(setter).build();
}
/**
* Provide a maximum size in number of SQL statement for the batch. Default is 1000.
*
* @param batchSize maximum batch size in number of statements
*/
public WriteVoid<T> withBatchSize(long batchSize) {
checkArgument(batchSize > 0, "batchSize must be > 0, but was %s", batchSize);
return toBuilder().setBatchSize(batchSize).build();
}
/**
* When a SQL exception occurs, {@link Write} uses this {@link RetryStrategy} to determine if it
* will retry the statements. If {@link RetryStrategy#apply(SQLException)} returns {@code true},
* then {@link Write} retries the statements.
*/
public WriteVoid<T> withRetryStrategy(RetryStrategy retryStrategy) {
checkArgument(retryStrategy != null, "retryStrategy can not be null");
return toBuilder().setRetryStrategy(retryStrategy).build();
}
@Override
public PCollection<Void> expand(PCollection<T> input) {
checkArgument(getStatement() != null, "withStatement() is required");
checkArgument(
getPreparedStatementSetter() != null, "withPreparedStatementSetter() is required");
checkArgument(
(getDataSourceProviderFn() != null),
"withDataSourceConfiguration() or withDataSourceProviderFn() is required");
return input.apply(ParDo.of(new WriteFn<>(this)));
}
private static class WriteFn<T> extends DoFn<T, Void> {
private final WriteVoid<T> spec;
private static final int MAX_RETRIES = 5;
private static final FluentBackoff BUNDLE_WRITE_BACKOFF =
FluentBackoff.DEFAULT
.withMaxRetries(MAX_RETRIES)
.withInitialBackoff(Duration.standardSeconds(5));
private DataSource dataSource;
private Connection connection;
private PreparedStatement preparedStatement;
private final List<T> records = new ArrayList<>();
public WriteFn(WriteVoid<T> spec) {
this.spec = spec;
}
@Setup
public void setup() {
dataSource = spec.getDataSourceProviderFn().apply(null);
}
@StartBundle
public void startBundle() throws Exception {
connection = dataSource.getConnection();
connection.setAutoCommit(false);
preparedStatement = connection.prepareStatement(spec.getStatement().get());
}
@ProcessElement
public void processElement(ProcessContext context) throws Exception {
T record = context.element();
records.add(record);
if (records.size() >= spec.getBatchSize()) {
executeBatch();
}
}
private void processRecord(T record, PreparedStatement preparedStatement) {
try {
preparedStatement.clearParameters();
spec.getPreparedStatementSetter().setParameters(record, preparedStatement);
preparedStatement.addBatch();
} catch (Exception e) {
throw new RuntimeException(e);
}
}
@FinishBundle
public void finishBundle() throws Exception {
executeBatch();
try {
if (preparedStatement != null) {
preparedStatement.close();
}
} finally {
if (connection != null) {
connection.close();
}
}
}
private void executeBatch() throws SQLException, IOException, InterruptedException {
if (records.isEmpty()) {
return;
}
Sleeper sleeper = Sleeper.DEFAULT;
BackOff backoff = BUNDLE_WRITE_BACKOFF.backoff();
while (true) {
try (PreparedStatement preparedStatement =
connection.prepareStatement(spec.getStatement().get())) {
try {
// add each record in the statement batch
for (T record : records) {
processRecord(record, preparedStatement);
}
// execute the batch
preparedStatement.executeBatch();
// commit the changes
connection.commit();
break;
} catch (SQLException exception) {
if (!spec.getRetryStrategy().apply(exception)) {
throw exception;
}
LOG.warn("Deadlock detected, retrying", exception);
// clean up the statement batch and the connection state
preparedStatement.clearBatch();
connection.rollback();
if (!BackOffUtils.next(sleeper, backoff)) {
// we tried the max number of times
throw exception;
}
}
}
}
records.clear();
}
}
}
private static class Reparallelize<T> extends PTransform<PCollection<T>, PCollection<T>> {
@Override
public PCollection<T> expand(PCollection<T> input) {
// See https://issues.apache.org/jira/browse/BEAM-2803
// We use a combined approach to "break fusion" here:
// (see https://cloud.google.com/dataflow/service/dataflow-service-desc#preventing-fusion)
// 1) force the data to be materialized by passing it as a side input to an identity fn,
// then 2) reshuffle it with a random key. Initial materialization provides some parallelism
// and ensures that data to be shuffled can be generated in parallel, while reshuffling
// provides perfect parallelism.
// In most cases where a "fusion break" is needed, a simple reshuffle would be sufficient.
// The current approach is necessary only to support the particular case of JdbcIO where
// a single query may produce many gigabytes of query results.
PCollectionView<Iterable<T>> empty =
input
.apply("Consume", Filter.by(SerializableFunctions.constant(false)))
.apply(View.asIterable());
PCollection<T> materialized =
input.apply(
"Identity",
ParDo.of(
new DoFn<T, T>() {
@ProcessElement
public void process(ProcessContext c) {
c.output(c.element());
}
})
.withSideInputs(empty));
return materialized.apply(Reshuffle.viaRandomKey());
}
}
private static class DataSourceProviderFromDataSourceConfiguration
implements SerializableFunction<Void, DataSource>, HasDisplayData {
private final DataSourceConfiguration config;
private static DataSourceProviderFromDataSourceConfiguration instance;
private DataSourceProviderFromDataSourceConfiguration(DataSourceConfiguration config) {
this.config = config;
}
public static SerializableFunction<Void, DataSource> of(DataSourceConfiguration config) {
if (instance == null) {
instance = new DataSourceProviderFromDataSourceConfiguration(config);
}
return instance;
}
@Override
public DataSource apply(Void input) {
return config.buildDatasource();
}
@Override
public void populateDisplayData(DisplayData.Builder builder) {
config.populateDisplayData(builder);
}
}
private abstract static class BaseDataSourceProvider
implements SerializableFunction<Void, DataSource>, HasDisplayData {
private final SerializableFunction<Void, DataSource> dataSourceProviderFn;
BaseDataSourceProvider(SerializableFunction<Void, DataSource> dataSourceProviderFn) {
this.dataSourceProviderFn = dataSourceProviderFn;
}
@Override
public void populateDisplayData(DisplayData.Builder builder) {
if (dataSourceProviderFn instanceof HasDisplayData) {
((HasDisplayData) dataSourceProviderFn).populateDisplayData(builder);
}
}
}
private static class MemoizedDataSourceProvider extends BaseDataSourceProvider {
private static MemoizedDataSourceProvider instance = null;
@Nullable private static DataSource datasource = null;
private MemoizedDataSourceProvider(
SerializableFunction<Void, DataSource> dataSourceProviderFn) {
super(dataSourceProviderFn);
}
public static MemoizedDataSourceProvider of(
SerializableFunction<Void, DataSource> dataSourceProviderFn) {
if (instance == null) {
instance = new MemoizedDataSourceProvider(dataSourceProviderFn);
}
return instance;
}
@Override
public DataSource apply(Void input) {
if (datasource == null) {
datasource = super.dataSourceProviderFn.apply(null);
}
return datasource;
}
}
}