Storm/Trident integration for Redis
Storm-redis uses Jedis for Redis client.
use it as a maven dependency:
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-redis</artifactId>
<version>${storm.version}</version>
<type>jar</type>
</dependency>
Storm-redis provides basic Bolt implementations, RedisLookupBolt
and RedisStoreBolt
.
As name represents its usage, RedisLookupBolt
retrieves value from Redis using key, and RedisStoreBolt
stores key / value to Redis. One tuple will be matched to one key / value pair, and you can define match pattern to TupleMapper
.
You can also choose data type from RedisDataTypeDescription
to use. Please refer RedisDataTypeDescription.RedisDataType
to see what data types are supported. In some data types (hash and sorted set), it requires additional key and converted key from tuple becomes element.
These interfaces are combined with RedisLookupMapper
and RedisStoreMapper
which fit RedisLookupBolt
and RedisStoreBolt
respectively.
class WordCountRedisLookupMapper implements RedisLookupMapper {
private RedisDataTypeDescription description;
private final String hashKey = "wordCount";
public WordCountRedisLookupMapper() {
description = new RedisDataTypeDescription(
RedisDataTypeDescription.RedisDataType.HASH, hashKey);
}
@Override
public List<Values> toTuple(ITuple input, Object value) {
String member = getKeyFromTuple(input);
List<Values> values = Lists.newArrayList();
values.add(new Values(member, value));
return values;
}
@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {
declarer.declare(new Fields("wordName", "count"));
}
@Override
public RedisDataTypeDescription getDataTypeDescription() {
return description;
}
@Override
public String getKeyFromTuple(ITuple tuple) {
return tuple.getStringByField("word");
}
@Override
public String getValueFromTuple(ITuple tuple) {
return null;
}
}
JedisPoolConfig poolConfig = new JedisPoolConfig.Builder()
.setHost(host).setPort(port).build();
RedisLookupMapper lookupMapper = new WordCountRedisLookupMapper();
RedisLookupBolt lookupBolt = new RedisLookupBolt(poolConfig, lookupMapper);
class WordCountStoreMapper implements RedisStoreMapper {
private RedisDataTypeDescription description;
private final String hashKey = "wordCount";
public WordCountStoreMapper() {
description = new RedisDataTypeDescription(
RedisDataTypeDescription.RedisDataType.HASH, hashKey);
}
@Override
public RedisDataTypeDescription getDataTypeDescription() {
return description;
}
@Override
public String getKeyFromTuple(ITuple tuple) {
return tuple.getStringByField("word");
}
@Override
public String getValueFromTuple(ITuple tuple) {
return tuple.getStringByField("count");
}
}
JedisPoolConfig poolConfig = new JedisPoolConfig.Builder()
.setHost(host).setPort(port).build();
RedisStoreMapper storeMapper = new WordCountStoreMapper();
RedisStoreBolt storeBolt = new RedisStoreBolt(poolConfig, storeMapper);
If your scenario doesn't fit RedisStoreBolt
and RedisLookupBolt
, storm-redis also provides AbstractRedisBolt
to let you extend and apply your business logic.
public static class LookupWordTotalCountBolt extends AbstractRedisBolt {
private static final Logger LOG = LoggerFactory.getLogger(LookupWordTotalCountBolt.class);
private static final Random RANDOM = new Random();
public LookupWordTotalCountBolt(JedisPoolConfig config) {
super(config);
}
public LookupWordTotalCountBolt(JedisClusterConfig config) {
super(config);
}
@Override
public void execute(Tuple input) {
JedisCommands jedisCommands = null;
try {
jedisCommands = getInstance();
String wordName = input.getStringByField("word");
String countStr = jedisCommands.get(wordName);
if (countStr != null) {
int count = Integer.parseInt(countStr);
this.collector.emit(new Values(wordName, count));
// print lookup result with low probability
if(RANDOM.nextInt(1000) > 995) {
LOG.info("Lookup result - word : " + wordName + " / count : " + count);
}
} else {
// skip
LOG.warn("Word not found in Redis - word : " + wordName);
}
} finally {
if (jedisCommands != null) {
returnInstance(jedisCommands);
}
this.collector.ack(input);
}
}
@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {
// wordName, count
declarer.declare(new Fields("wordName", "count"));
}
}
RedisState and RedisMapState, which provide Jedis interface just for single redis.
RedisClusterState and RedisClusterMapState, which provide JedisCluster interface, just for redis cluster.
RedisState ```java JedisPoolConfig poolConfig = new JedisPoolConfig.Builder() .setHost(redisHost).setPort(redisPort) .build(); RedisStoreMapper storeMapper = new WordCountStoreMapper(); RedisLookupMapper lookupMapper = new WordCountLookupMapper(); RedisState.Factory factory = new RedisState.Factory(poolConfig);
TridentTopology topology = new TridentTopology();
Stream stream = topology.newStream("spout1", spout);
stream.partitionPersist(factory,
fields,
new RedisStateUpdater(storeMapper).withExpire(86400000),
new Fields());
TridentState state = topology.newStaticState(factory);
stream = stream.stateQuery(state, new Fields("word"),
new RedisStateQuerier(lookupMapper),
new Fields("columnName","columnValue"));
RedisClusterState
```java
Set<InetSocketAddress> nodes = new HashSet<InetSocketAddress>();
for (String hostPort : redisHostPort.split(",")) {
String[] host_port = hostPort.split(":");
nodes.add(new InetSocketAddress(host_port[0], Integer.valueOf(host_port[1])));
}
JedisClusterConfig clusterConfig = new JedisClusterConfig.Builder().setNodes(nodes)
.build();
RedisStoreMapper storeMapper = new WordCountStoreMapper();
RedisLookupMapper lookupMapper = new WordCountLookupMapper();
RedisClusterState.Factory factory = new RedisClusterState.Factory(clusterConfig);
TridentTopology topology = new TridentTopology();
Stream stream = topology.newStream("spout1", spout);
stream.partitionPersist(factory,
fields,
new RedisClusterStateUpdater(storeMapper).withExpire(86400000),
new Fields());
TridentState state = topology.newStaticState(factory);
stream = stream.stateQuery(state, new Fields("word"),
new RedisClusterStateQuerier(lookupMapper),
new Fields("columnName","columnValue"));