![]() Thanks javasoze for this wonderful tool, it is now part of my standard toolbox. ![]() ![]() readonly - puts clue in readonly mode reconstruct - reconstructs an indexed field for a document search - executes a query against the index, input: stored - displays stored data for a given field terms - gets terms from the index,, term can be a prefix trim - trims the index,, options are: head, tail, random tv - shows term vector of a field for a doc Using configuration file found at: /Users/johnwang/github/clue/config/nf Analyzer: class .standard.StandardAnalyzer Query Builder: class .DefaultQueryBuilder Directory Builder: class .DefaultDirectoryBuilder IndexReader Factory: class .DefaultIndexReaderFactory delete - deletes a list of documents from searching via a query, input: query directory - prints directory information docval - gets doc value for a given doc,, if not specified, all docs are shown exit - exits program explain - shows score explanation of a doc export - export index to readable text files help - displays help info - displays information about the index, to get information on the segment merge - force merges segments into given N segments, input: number of max segments norm - displays norm values for a field for a list of documents postings - iterating postings given a term, e.g. You can SSH into your production box and inspect your index using your favorite shellĪnother important feature for Clue is the ability to interact with other Unix commands via piping, e.g. Luke is awesome, but often times it is not feasible to inspect an index on a remote machine using a GUI. Luke is a handy development and diagnostic tool, which accesses already existing Lucene indexes and allows you to display and modify their content. Our continuous testing is against the two code lines under active development, Solr 8x and the future Solr 9.Lucene Core is an open-source search software, provides #Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities. In other cases we know the bug is in the JVM but we havent narrowed it enough to open a bug with the vendor. In certain cases we whittle it down to a small test case, open an issue with the vendor, and hopefully it gets fixed. In addition, some organizations also maintain their own test infrastructure and feed their results back to the community. Sometimes Lucene runs amok of bugs in JVM implementations from different vendors. Solr and Lucene run a continuous integration model, running automated unit and integration tests using several versions of Java. It is a technology suitable for nearly any application. ![]() Project Testing of Java-Solr Combinations Apache Lucene is a high-performance, full-featured search engine library written entirely in Java. For this reason, Java 11 is preferred over 9 or 10 when upgrading Java.įor specific questions the Solr User’s List is a great resource. The project’s testing infrastructure continuously tests with the minimum and greater versions of Java for each development branch. Long Term Support (LTS) for Java 8 is provided by some sources, see Java is still free. Java 8 has been extensively tested by both automated tests and users through Solr 8. Upgrading Java is not required with the understanding that no Java bugs will be addressed unless you are using a version of Java that provides LTS. OpenJDK and Oracle Java distributions are tested extensively and will continue to be tested going forward.ĭistributions of Java from other sources are not regularly tested by our testing infrastructure, therefore you must test Java from those sources in your environment.įor the purposes of Lucene and Solr, Oracle’s Java and OpenJDK are identical.
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