London Lucene/Solr Meetup – Java 9 & 1 Beeelion Documents with Alfresco

This time Pivotal were our kind hosts for the London Lucene/Solr Meetup, providing a range of goodies including some frankly enormous pizzas - thanks Costas and colleagues, we couldn't have done it without you! Our first talk was from Uwe Schindler, Lucene committer, who started with...Continue reading

Worth the wait – Apache Kafka hits 1.0 release

We've known about Apache Kafka for several years now - we first encountered it when we developed a prototype streaming Boolean search engine for media monitoring with our own library Luwak. Kafka is a distributed streaming platform with some simple but powerful concepts - everything it deals with is a stream ...Continue reading

Better performance with the Logstash DNS filter

We've been working on a project for a customer which uses Logstash to read messages from Kafka and write them to Elasticsearch. It also parses the messages into fields, and depending on the content type does DNS lookups (both forward and reverse.) While performance testing I noticed that adding caching to the Logstash DNS filter actually reduced performance, contrary to expectations. With four filter worker threads, and the following configuration:

dns { 
  resolve => [ ...Continue reading

Elasticsearch, Kibana and duplicate keys in JSON

JSON has been the lingua franca of data exchange for many years. It's human-readable, lightweight and widely supported. However, the JSON spec does not define what parsers should do when they encounter a duplicate key in an object, e.g.:

{
  "foo": "spam",
  "foo": "eggs",
  ...
}
Implementations are free to interpret this how they like. When different systems have different interpretations this can cause problems. We recently encounter...Continue reading

Meetup at Big Data London – One-click Solr & Factchecking with Solr

Last week I spoke at the Big Data London conference, a very busy event with several thousand people attending. My session was on using open source search to make sense of Big Data - you can get slides here. In the evening we ran another Continue reading