mp911de

Elasticsearch, Logstash and Kibana are widely used for log management. I wrote in earlier posts about submitting application logs towards logstash. Let’s approach access logs today.

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A choice of decision for a NoSQL data store depends on several factors. It’s no longer a hot-or-not decision. The big hype is over, reality comes back now.

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lettuce 3.0.1 was released. This is a bugfix release fixing some major bugs.

This release contains:

Fixes

• Test improvements for more stability
• URI for sentinel connections
• Provide static syncHandler
• Handle premature channelInactive while ongoing close (avoid NPE)
• Fix signature of clusterSlaves #18
• Fix SCAN command with scan args

Enhancements

• Optimized CRC16 calculation (thanks to Jedis for co-working)
• Use fine grained exceptions for Timeout, CommandExecution and Connection

Links

• Release on Github
• Artifact overview on Maven Central
• Download lettuce 3.0.1.Final
• Wiki
• Maven Site (Javadoc)

Maven coordinates:

<dependency>
    <groupId>biz.paluch.redis</groupId>
    <artifactId>lettuce</artifactId>
    <version>3.0.1.Final</version>
</dependency>

<dependency>
    <groupId>biz.paluch.redis</groupId>
    <artifactId>lettuce</artifactId>
    <version>3.0.1.Final</version>
    <classifier>shaded</classifier>
</dependency>

Any feedback is appreciated or create issues on GitHub.

lettuce 3.0 was released. Lettuce is a scalable thread-safe Redis client providing both synchronous and asynchronous connections. Multiple threads may share one connection provided they avoid blocking and transactional operations such as BLPOP, and MULTI/EXEC. Multiple connections are efficiently managed by the excellent netty NIO framework. Support for advanced Redis features such as Sentinel, Cluster and Redis data models are included.

Some of the major changes are:

• Support for the latest Redis commands
• Redis Cluster support
• Redis Sentinel support
• Upgrade to netty 4.0.19 (from netty 3.x)
• CDI and Spring support
• Streaming API
• Listenable Futures (using Guava) for true async operations
• Tons of bugfixes, tests and documentation

Lettuce 3.0 is a fork of original lettuce@wg with preserved packages and mostly the same API. The original lettuce is no longer in active development.

What’s next?

My plan is to keep up with tight Redis development and to integrate the new fork into Spring Data Redis. Redis Cluster has to get mature, and the current implementation has to prove in production.

Links

• Release on Github
• Artifact overview on Maven Central
• Download lettuce 3.0.Final
• Wiki
• Maven Site (Javadoc)

Maven coordinates:

<dependency>
    <groupId>biz.paluch.redis</groupId>
    <artifactId>lettuce</artifactId>
    <version>3.0.Final</version>
</dependency>

<dependency>
    <groupId>biz.paluch.redis</groupId>
    <artifactId>lettuce</artifactId>
    <version>3.0.Final</version>
    <classifier>shaded</classifier>
</dependency>

Any feedback is appreciated or create issues on GitHub.

I’ve released today logstash-gelf 1.5.3. This is a bugfix release for Hadoop Hive users. I did not announce release 1.5.2 the last time. Apologies for that.

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When CDI and Inifispan meet you’ve got the chance to improve your code a lot. Let’s combine both to make all of your CDI beans @Cacheable.

Caching of values usually goes this way:

public String getSomething(String input) {
    String result = cache.contains(input);
    
	if(result == null) {
        result = getValueFromDatabase(input);
        cache.put(input, result);
    }
	
    return result;    
}

This pattern repeats for every value which is cached/retrieved. Methods like the one above contain repetitive conditionals and value retrievals. Using the caching interceptor pattern eliminates the need for repetition. Business methods will be reduced back to their essence and caching becomes an aspect.

@Cacheable
public String getSomething(@CacheKey String input) {
    return getValueFromDatabase(input);
}

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When releasing lettuce 3.0-Beta3 I was sure this will be the last beta of lettuce 3.0. In the mean time lots of stuff came up: New redis features around clustering, new commands and data structures. On the dev side there was low test coverage and instabilities during the build. This were the reasons to release an third beta. The original plan was to head for final as soon as redis 3.0 is going to be releases.

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lettuce 3.0.Beta 3 is out now. The new redis commands provide in addition to the basic support also data structures and parsers. This is to support common implementation tasks and to ease adoption.

The Beta 3t is a surprise, because I wanted to release the final after Beta 2. Meanwhile, redis added lots of features and in fact, lettuce was not ready for a final yet. I’ll state more about the details in a further, final announcement post. For now enjoy the Beta 3.

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