ElasticSearch 0.19.9

Search Engines data model roots lies with schema free and document oriented databases, and as shown by the #nosql movement, this model proves to be very effective for building applications. elasticsearch model is JSON, which slowly emerges as the de-facto standard for representing data these days. More over, with JSON, it is simple to provide semi-structured data with complex entities as well as being programming language natural with first level parsers. elasticsearch is schema less, just toss it a typed JSON document and it will automatically index it. Types such as numbers and dates are automatically detected and treated accordingly. But, as we all know, Search Engines are quite sophisticated. Fields in documents can have boost levels that affect scoring, analyzers can be used to control how text gets tokenized into terms, certain fields should not be analyzed at all, and so on... . elasticsearch allows you to completely control how a JSON document gets mapped into the search engine on a per type and per index level. Indexing data is always done using a unique identifier (at the type level). This is very handy since many times we wish to update or delete the actual indexed data, or just GET it. Getting data could not be simpler and all that is needed is the index name, the type and the id. What we get back is the actual JSON document used to index the specific data, but please, keep it secret and don`t tell any other distributed Key/Value storage systems...

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| Shay Banon | Search | Lucene | Indexing | Elasticsearch | Distributed Lucene | Cloud |

History updates (Complete changelogs since the listing on this site)

0.19.9 [03-25-13]

Upgrade Notes:
  • Upgrading from 0.18 requires issuing a full flush of all the indices in the cluster (curl host:9200/_flush) before shutting down the cluster, with no indexing operations happening after the flush.
  • The local gateway state structure has changed from 0.18, a backup of the state files is created when upgrading, they can then be used to downgrade back to 0.18. Don’t downgrade without using them.
Breaking changes:
  • Introduce Text abstraction, allowing for improved representation of strings, apply to HighlightedField (breaks backward for Java API from String to Text) (#2093)
  • Stored binary fields to change internal representation (break Java API if used) (#2092)
New features:
  • Explain API (#2184)
  • Multi match query (#2153)
  • Cluster Nodes hot_threads API (#2134)
  • Compression: Support snappy as a compression option (#2081)
  • Reduce index.shard.recovery.concurrent_streams from 5 to 3 to reduce the load when doing recovery (#2198)
  • Upgrade to netty 3.5.5 (#2196)
  • MinimumNumberShouldMatch inconcistency (#2194)
  • Upgrade to Netty 3.5.4 (#2180)
  • Rename text query to match query (text query still works, with variants) (#2150)
  • word_delimiter token filter does not honor “type_table” option. (#2145)
  • Improve recovery time when processing large mappings (#2138)
  • Increase default recovery chunk size (#2125)
  • Upgrade to Netty 3.5.3 (#2119)
  • ShingleTokenFilterFactory doesn’t expose all relevant settings (#2116)
  • Upgrade to Lucene 3.6.1 (#2110)
  • Upgrade to Netty 3.5.2 (#2084)
  • All Field: Automatically detect when field level boosting is used, and optimize when its not (#2189)
  • Mapping:
    • String type to allow for a “ignore_above” size parameter, above which it will ignore the content (#2121)
    • Numeric/Date types to have a flag to ignore wrongly formatted values (#2120)
  • Node Stats: Add jvm buffer pools stats (when available, for java 7 and above) (#2122)
  • Thread Pool: Allow to configure the queue_type for fixed thread pool (linked/array), defaults to array (#2086)
  • Transport/Http: Remove explicit setting of send/receive buffer, and improve netty receive buffer predictor (#2124)
Bug fixes:
  • Incorrect application of boost in SpanNotQueryBuilder (#2192)
  • Date Histogram facet fails with “pre_zone” : “+02:00” (#2141)
  • Local Gateway: old global state files are not properly deleted (#2085)
  • Update API: Update through an alias with routing configured on it fail to use the routing (#2155)

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Predicted future versions and notices:

The doDownload.com constantly monitors the update of all programs, including information from the ElasticSearch 0.19.10 changelog file, however sometimes it can happen that data are not complete or are outdated.We assume that author continue's to develop 0.20.0 version with further advanced features, and soon you will be informed. Equally important 1.0.0 upgrades of the program we will continue to monitor. Full ElasticSearch description has been compared with the overall software database and our algorithm has found the following applications (are showed below).