§JDBC Read-Side support
This page is specifically about Lagom’s support for relational database read-sides using JDBC. Before reading this, you should familiarize yourself with Lagom’s general read-side support and relational database read-side support overview.
§Query the Read-Side Database
Let us first look at how a service implementation can retrieve data from a relational database using JDBC.
import akka.NotUsed;
import com.lightbend.lagom.javadsl.api.ServiceCall;
import com.lightbend.lagom.javadsl.persistence.jdbc.JdbcSession;
import org.pcollections.PSequence;
import org.pcollections.TreePVector;
import javax.inject.Inject;
import java.sql.PreparedStatement;
import java.sql.ResultSet;public class BlogServiceImpl implements BlogService {
private final JdbcSession jdbcSession;
@Inject
public BlogServiceImpl(JdbcSession jdbcSession) {
this.jdbcSession = jdbcSession;
}
@Override
public ServiceCall<NotUsed, PSequence<PostSummary>> getPostSummaries() {
return request -> {
return jdbcSession.withConnection(connection -> {
try (PreparedStatement ps = connection.prepareStatement("SELECT id, title FROM blogsummary")) {
try (ResultSet rs = ps.executeQuery()) {
PSequence<PostSummary> summaries = TreePVector.empty();
while (rs.next()) {
summaries = summaries.plus(
new PostSummary(rs.getString("id"), rs.getString("title"))
);
}
return summaries;
}
}
});
};
}
}Note that the JdbcSession is injected in the constructor. JdbcSession allows access to a connection from the connection pool, using the withConnection method, and will manage transactions using the withTransaction method. Importantly, JdbcSession also manages execution of the blocking JDBC calls in a thread pool designed to handle it, which is why the withConnection and withTransaction methods return CompletionStage.
§Update the Read-Side
We need to transform the events generated by the Persistent Entities into database tables that can be queried as illustrated in the previous section. For that we will implement a ReadSideProcessor with assistance from the JdbcReadSide support component. It will consume events produced by persistent entities and update one or more database tables that are optimized for queries.
This is how a ReadSideProcessor class looks like before filling in the implementation details:
import com.lightbend.lagom.javadsl.persistence.AggregateEventTag;
import com.lightbend.lagom.javadsl.persistence.ReadSideProcessor;
import com.lightbend.lagom.javadsl.persistence.jdbc.JdbcReadSide;
import org.pcollections.PSequence;
import javax.inject.Inject;
import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.SQLException;public class BlogEventProcessor extends ReadSideProcessor<BlogEvent> {
private final JdbcReadSide readSide;
@Inject
public BlogEventProcessor(JdbcReadSide readSide) {
this.readSide = readSide;
}
@Override
public ReadSideHandler<BlogEvent> buildHandler() {
// TODO build read side handler
return null;
}
@Override
public PSequence<AggregateEventTag<BlogEvent>> aggregateTags() {
// TODO return the tag for the events
return null;
}
}You can see that we have injected the JDBC read-side support, this will be needed later.
You should already have implemented tagging for your events as described in the Read-Side documentation, so first we’ll implement the aggregateTags method in our read-side processor stub, like so:
@Override
public PSequence<AggregateEventTag<BlogEvent>> aggregateTags() {
return BlogEvent.TAG.allTags();
}§Building the read-side handler
The other method on the ReadSideProcessor is buildHandler. This is responsible for creating the ReadSideHandler that will handle events. It also gives the opportunity to run two callbacks, one is a global prepare callback, the other is a regular prepare callback.
JdbcReadSide has a builder method for creating a builder for these handlers, this builder will create a handler that will automatically manage transactions and handle read-side offsets for you. It can be created like so:
JdbcReadSide.ReadSideHandlerBuilder<BlogEvent> builder =
readSide.builder("blogsummaryoffset");The argument passed to this method is an identifier for the read-side processor that Lagom should use when it persists the offset. Lagom will store the offsets in a table that it will automatically create itself if it doesn’t exist. If you would prefer that Lagom didn’t automatically create this table for you, you can turn off this feature by setting lagom.persistence.jdbc.create-tables.auto=false in application.conf. The DDL for the schema for this table is as follows:
CREATE TABLE read_side_offsets (
read_side_id VARCHAR(255), tag VARCHAR(255),
sequence_offset bigint, time_uuid_offset char(36),
PRIMARY KEY (read_side_id, tag)
)
§Global prepare
The global prepare callback runs at least once across the whole cluster. It is intended for doing things like creating tables and preparing any data that needs to be available before read side processing starts. Read side processors may be sharded across many nodes, and so tasks like creating tables should usually only be done from one node.
The global prepare callback is run from an Akka cluster singleton. It may be run multiple times - every time a new node becomes the new singleton, the callback will be run. Consequently, the task must be idempotent. If it fails, it will be run again using an exponential backoff, and the read side processing of the whole cluster will not start until it has run successfully.
Of course, setting a global prepare callback is completely optional, you may prefer to manage database tables manually, but it is very convenient for development and test environments to use this callback to create them for you.
Below is an example method that we’ve implemented to create tables:
private void createTable(Connection connection) throws SQLException {
try (PreparedStatement ps = connection.prepareStatement("CREATE TABLE IF NOT EXISTS blogsummary ( " +
"id VARCHAR(64), title VARCHAR(256), PRIMARY KEY (id))")) {
ps.execute();
}
}It can then be registered as the global prepare callback in the buildHandler method:
builder.setGlobalPrepare(this::createTable);§Prepare
In addition to the global prepare callback, there is also a prepare callback that can be specified by calling builder.setPrepare. This will be executed once per shard, when the read side processor starts up.
If you read the Cassandra read-side support guide, you may have seen this used to prepare database statements for later use. JDBC PreparedStatement instances, however, are not guaranteed to be thread-safe, so the prepare callback should not be used for this purpose with relational databases.
Again this callback is optional, and in our example we have no need for a prepare callback, so none is specified.
§Registering your read-side processor
Once you’ve created your read-side processor, you need to register it with Lagom. This is done using the ReadSide component:
@Inject
public BlogServiceImpl(
PersistentEntityRegistry persistentEntityRegistry,
ReadSide readSide) {
this.persistentEntityRegistry = persistentEntityRegistry;
readSide.register(BlogEventProcessor.class);
}§Event handlers
The event handlers take an event and a connection, and update the read-side accordingly.
Here’s an example callback for handling the PostAdded event:
private void processPostAdded(Connection connection, BlogEvent.PostAdded event) throws SQLException {
PreparedStatement statement = connection.prepareStatement(
"INSERT INTO blogsummary (id, title) VALUES (?, ?)");
statement.setString(1, event.getPostId());
statement.setString(2, event.getContent().getTitle());
statement.execute();
}This can then be registered with the builder using setEventHandler:
builder.setEventHandler(BlogEvent.PostAdded.class, this::processPostAdded);Once you have finished registering all your event handlers, you can invoke the build method and return the built handler:
return builder.build();