[jira] [Commented] (LUCENE-5205) [PATCH] SpanQueryParser with recursion, analysis and syntax very similar to classic QueryParser
[ https://issues.apache.org/jira/browse/LUCENE-5205?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13934612#comment-13934612 ] Nikhil Chhaochharia commented on LUCENE-5205: - We tried reducing all stopwords to an impossible token and it increased our indexing time as well as index size by about 10% when compared to using the StopFilter. We used a SynonymFilter to map all stop words to the impossible token and set expand=false Initial tests show that the functionality is as expected and PhraseQuery / SpanQuery handle stop words properly. We will be running more tests to check if there are any unexpected side-effects, but this looks like a better option compared to using a StopFilter which sometimes leads to false matches. [PATCH] SpanQueryParser with recursion, analysis and syntax very similar to classic QueryParser --- Key: LUCENE-5205 URL: https://issues.apache.org/jira/browse/LUCENE-5205 Project: Lucene - Core Issue Type: Improvement Components: core/queryparser Reporter: Tim Allison Labels: patch Fix For: 4.8 Attachments: LUCENE-5205-cleanup-tests.patch, LUCENE-5205-date-pkg-prvt.patch, LUCENE-5205.patch.gz, LUCENE-5205.patch.gz, LUCENE-5205_dateTestReInitPkgPrvt.patch, LUCENE-5205_improve_stop_word_handling.patch, LUCENE-5205_smallTestMods.patch, LUCENE_5205.patch, SpanQueryParser_v1.patch.gz, patch.txt This parser extends QueryParserBase and includes functionality from: * Classic QueryParser: most of its syntax * SurroundQueryParser: recursive parsing for near and not clauses. * ComplexPhraseQueryParser: can handle near queries that include multiterms (wildcard, fuzzy, regex, prefix), * AnalyzingQueryParser: has an option to analyze multiterms. At a high level, there's a first pass BooleanQuery/field parser and then a span query parser handles all terminal nodes and phrases. Same as classic syntax: * term: test * fuzzy: roam~0.8, roam~2 * wildcard: te?t, test*, t*st * regex: /\[mb\]oat/ * phrase: jakarta apache * phrase with slop: jakarta apache~3 * default or clause: jakarta apache * grouping or clause: (jakarta apache) * boolean and +/-: (lucene OR apache) NOT jakarta; +lucene +apache -jakarta * multiple fields: title:lucene author:hatcher Main additions in SpanQueryParser syntax vs. classic syntax: * Can require in order for phrases with slop with the \~ operator: jakarta apache\~3 * Can specify not near: fever bieber!\~3,10 :: find fever but not if bieber appears within 3 words before or 10 words after it. * Fully recursive phrasal queries with \[ and \]; as in: \[\[jakarta apache\]~3 lucene\]\~4 :: find jakarta within 3 words of apache, and that hit has to be within four words before lucene * Can also use \[\] for single level phrasal queries instead of as in: \[jakarta apache\] * Can use or grouping clauses in phrasal queries: apache (lucene solr)\~3 :: find apache and then either lucene or solr within three words. * Can use multiterms in phrasal queries: jakarta\~1 ap*che\~2 * Did I mention full recursion: \[\[jakarta\~1 ap*che\]\~2 (solr~ /l\[ou\]\+\[cs\]\[en\]\+/)]\~10 :: Find something like jakarta within two words of ap*che and that hit has to be within ten words of something like solr or that lucene regex. * Can require at least x number of hits at boolean level: apache AND (lucene solr tika)~2 * Can use negative only query: -jakarta :: Find all docs that don't contain jakarta * Can use an edit distance 2 for fuzzy query via SlowFuzzyQuery (beware of potential performance issues!). Trivial additions: * Can specify prefix length in fuzzy queries: jakarta~1,2 (edit distance =1, prefix =2) * Can specifiy Optimal String Alignment (OSA) vs Levenshtein for distance =2: (jakarta~1 (OSA) vs jakarta~1(Levenshtein) This parser can be very useful for concordance tasks (see also LUCENE-5317 and LUCENE-5318) and for analytical search. Until LUCENE-2878 is closed, this might have a use for fans of SpanQuery. Most of the documentation is in the javadoc for SpanQueryParser. Any and all feedback is welcome. Thank you. -- This message was sent by Atlassian JIRA (v6.2#6252) - To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org
[jira] [Commented] (LUCENE-5205) [PATCH] SpanQueryParser with recursion, analysis and syntax very similar to classic QueryParser
[ https://issues.apache.org/jira/browse/LUCENE-5205?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13931580#comment-13931580 ] Nikhil Chhaochharia commented on LUCENE-5205: - We will try reducing the stop words to some impossible token and report back in a few days. We need the user fields and a few other features of the edismax parser, hence we have modified it to send only 'phrase' queries to SpanQueryParser. Its a huge hack but we would like include this functionality without the overhead of building our own parser from scratch. [PATCH] SpanQueryParser with recursion, analysis and syntax very similar to classic QueryParser --- Key: LUCENE-5205 URL: https://issues.apache.org/jira/browse/LUCENE-5205 Project: Lucene - Core Issue Type: Improvement Components: core/queryparser Reporter: Tim Allison Labels: patch Fix For: 4.7 Attachments: LUCENE-5205-cleanup-tests.patch, LUCENE-5205-date-pkg-prvt.patch, LUCENE-5205.patch.gz, LUCENE-5205.patch.gz, LUCENE-5205_dateTestReInitPkgPrvt.patch, LUCENE-5205_improve_stop_word_handling.patch, LUCENE-5205_smallTestMods.patch, LUCENE_5205.patch, SpanQueryParser_v1.patch.gz, patch.txt This parser extends QueryParserBase and includes functionality from: * Classic QueryParser: most of its syntax * SurroundQueryParser: recursive parsing for near and not clauses. * ComplexPhraseQueryParser: can handle near queries that include multiterms (wildcard, fuzzy, regex, prefix), * AnalyzingQueryParser: has an option to analyze multiterms. At a high level, there's a first pass BooleanQuery/field parser and then a span query parser handles all terminal nodes and phrases. Same as classic syntax: * term: test * fuzzy: roam~0.8, roam~2 * wildcard: te?t, test*, t*st * regex: /\[mb\]oat/ * phrase: jakarta apache * phrase with slop: jakarta apache~3 * default or clause: jakarta apache * grouping or clause: (jakarta apache) * boolean and +/-: (lucene OR apache) NOT jakarta; +lucene +apache -jakarta * multiple fields: title:lucene author:hatcher Main additions in SpanQueryParser syntax vs. classic syntax: * Can require in order for phrases with slop with the \~ operator: jakarta apache\~3 * Can specify not near: fever bieber!\~3,10 :: find fever but not if bieber appears within 3 words before or 10 words after it. * Fully recursive phrasal queries with \[ and \]; as in: \[\[jakarta apache\]~3 lucene\]\~4 :: find jakarta within 3 words of apache, and that hit has to be within four words before lucene * Can also use \[\] for single level phrasal queries instead of as in: \[jakarta apache\] * Can use or grouping clauses in phrasal queries: apache (lucene solr)\~3 :: find apache and then either lucene or solr within three words. * Can use multiterms in phrasal queries: jakarta\~1 ap*che\~2 * Did I mention full recursion: \[\[jakarta\~1 ap*che\]\~2 (solr~ /l\[ou\]\+\[cs\]\[en\]\+/)]\~10 :: Find something like jakarta within two words of ap*che and that hit has to be within ten words of something like solr or that lucene regex. * Can require at least x number of hits at boolean level: apache AND (lucene solr tika)~2 * Can use negative only query: -jakarta :: Find all docs that don't contain jakarta * Can use an edit distance 2 for fuzzy query via SlowFuzzyQuery (beware of potential performance issues!). Trivial additions: * Can specify prefix length in fuzzy queries: jakarta~1,2 (edit distance =1, prefix =2) * Can specifiy Optimal String Alignment (OSA) vs Levenshtein for distance =2: (jakarta~1 (OSA) vs jakarta~1(Levenshtein) This parser can be very useful for concordance tasks (see also LUCENE-5317 and LUCENE-5318) and for analytical search. Until LUCENE-2878 is closed, this might have a use for fans of SpanQuery. Most of the documentation is in the javadoc for SpanQueryParser. Any and all feedback is welcome. Thank you. -- This message was sent by Atlassian JIRA (v6.2#6252) - To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org
[jira] [Commented] (LUCENE-5205) [PATCH] SpanQueryParser with recursion, analysis and syntax very similar to classic QueryParser
[ https://issues.apache.org/jira/browse/LUCENE-5205?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13930253#comment-13930253 ] Nikhil Chhaochharia commented on LUCENE-5205: - Looks good - we will be testing this over the next few days and will report back if we find any issues. With StopFilter removed, the index size increased by 20% and there was no appreciable increase in the indexing time. With StopFilter replaced by a SynonymFilter (all stopwords as synonyms), the index size almost doubled and the indexing time more than tripled. We will probably not be going forward with this option. (I had mistakenly mentioned the stats for an index with the StopFilter removed in my earlier comment) [PATCH] SpanQueryParser with recursion, analysis and syntax very similar to classic QueryParser --- Key: LUCENE-5205 URL: https://issues.apache.org/jira/browse/LUCENE-5205 Project: Lucene - Core Issue Type: Improvement Components: core/queryparser Reporter: Tim Allison Labels: patch Fix For: 4.7 Attachments: LUCENE-5205-cleanup-tests.patch, LUCENE-5205-date-pkg-prvt.patch, LUCENE-5205.patch.gz, LUCENE-5205.patch.gz, LUCENE-5205_dateTestReInitPkgPrvt.patch, LUCENE-5205_improve_stop_word_handling.patch, LUCENE-5205_smallTestMods.patch, LUCENE_5205.patch, SpanQueryParser_v1.patch.gz, patch.txt This parser extends QueryParserBase and includes functionality from: * Classic QueryParser: most of its syntax * SurroundQueryParser: recursive parsing for near and not clauses. * ComplexPhraseQueryParser: can handle near queries that include multiterms (wildcard, fuzzy, regex, prefix), * AnalyzingQueryParser: has an option to analyze multiterms. At a high level, there's a first pass BooleanQuery/field parser and then a span query parser handles all terminal nodes and phrases. Same as classic syntax: * term: test * fuzzy: roam~0.8, roam~2 * wildcard: te?t, test*, t*st * regex: /\[mb\]oat/ * phrase: jakarta apache * phrase with slop: jakarta apache~3 * default or clause: jakarta apache * grouping or clause: (jakarta apache) * boolean and +/-: (lucene OR apache) NOT jakarta; +lucene +apache -jakarta * multiple fields: title:lucene author:hatcher Main additions in SpanQueryParser syntax vs. classic syntax: * Can require in order for phrases with slop with the \~ operator: jakarta apache\~3 * Can specify not near: fever bieber!\~3,10 :: find fever but not if bieber appears within 3 words before or 10 words after it. * Fully recursive phrasal queries with \[ and \]; as in: \[\[jakarta apache\]~3 lucene\]\~4 :: find jakarta within 3 words of apache, and that hit has to be within four words before lucene * Can also use \[\] for single level phrasal queries instead of as in: \[jakarta apache\] * Can use or grouping clauses in phrasal queries: apache (lucene solr)\~3 :: find apache and then either lucene or solr within three words. * Can use multiterms in phrasal queries: jakarta\~1 ap*che\~2 * Did I mention full recursion: \[\[jakarta\~1 ap*che\]\~2 (solr~ /l\[ou\]\+\[cs\]\[en\]\+/)]\~10 :: Find something like jakarta within two words of ap*che and that hit has to be within ten words of something like solr or that lucene regex. * Can require at least x number of hits at boolean level: apache AND (lucene solr tika)~2 * Can use negative only query: -jakarta :: Find all docs that don't contain jakarta * Can use an edit distance 2 for fuzzy query via SlowFuzzyQuery (beware of potential performance issues!). Trivial additions: * Can specify prefix length in fuzzy queries: jakarta~1,2 (edit distance =1, prefix =2) * Can specifiy Optimal String Alignment (OSA) vs Levenshtein for distance =2: (jakarta~1 (OSA) vs jakarta~1(Levenshtein) This parser can be very useful for concordance tasks (see also LUCENE-5317 and LUCENE-5318) and for analytical search. Until LUCENE-2878 is closed, this might have a use for fans of SpanQuery. Most of the documentation is in the javadoc for SpanQueryParser. Any and all feedback is welcome. Thank you. -- This message was sent by Atlassian JIRA (v6.2#6252) - To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org
[jira] [Commented] (LUCENE-5205) [PATCH] SpanQueryParser with recursion, analysis and syntax very similar to classic QueryParser
[ https://issues.apache.org/jira/browse/LUCENE-5205?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13924671#comment-13924671 ] Nikhil Chhaochharia commented on LUCENE-5205: - PhraseQuery does not guarantee that a false hit will be a stop word - if the data contains 'calculator xyz evaluating' and we search for calculator for evaluating, then it will match. I think that replacing the StopFilter with a SynonymFilter where all the stop words are synonyms of each other may work well. Initial tests by my team indicate that it behaves as expected. The index size does increases by about 20%, but we can live with that. I am wondering if there are any side effects that we are missing? [PATCH] SpanQueryParser with recursion, analysis and syntax very similar to classic QueryParser --- Key: LUCENE-5205 URL: https://issues.apache.org/jira/browse/LUCENE-5205 Project: Lucene - Core Issue Type: Improvement Components: core/queryparser Reporter: Tim Allison Labels: patch Fix For: 4.7 Attachments: LUCENE-5205-cleanup-tests.patch, LUCENE-5205-date-pkg-prvt.patch, LUCENE-5205.patch.gz, LUCENE-5205.patch.gz, LUCENE-5205_dateTestReInitPkgPrvt.patch, LUCENE-5205_smallTestMods.patch, LUCENE_5205.patch, SpanQueryParser_v1.patch.gz, patch.txt This parser extends QueryParserBase and includes functionality from: * Classic QueryParser: most of its syntax * SurroundQueryParser: recursive parsing for near and not clauses. * ComplexPhraseQueryParser: can handle near queries that include multiterms (wildcard, fuzzy, regex, prefix), * AnalyzingQueryParser: has an option to analyze multiterms. At a high level, there's a first pass BooleanQuery/field parser and then a span query parser handles all terminal nodes and phrases. Same as classic syntax: * term: test * fuzzy: roam~0.8, roam~2 * wildcard: te?t, test*, t*st * regex: /\[mb\]oat/ * phrase: jakarta apache * phrase with slop: jakarta apache~3 * default or clause: jakarta apache * grouping or clause: (jakarta apache) * boolean and +/-: (lucene OR apache) NOT jakarta; +lucene +apache -jakarta * multiple fields: title:lucene author:hatcher Main additions in SpanQueryParser syntax vs. classic syntax: * Can require in order for phrases with slop with the \~ operator: jakarta apache\~3 * Can specify not near: fever bieber!\~3,10 :: find fever but not if bieber appears within 3 words before or 10 words after it. * Fully recursive phrasal queries with \[ and \]; as in: \[\[jakarta apache\]~3 lucene\]\~4 :: find jakarta within 3 words of apache, and that hit has to be within four words before lucene * Can also use \[\] for single level phrasal queries instead of as in: \[jakarta apache\] * Can use or grouping clauses in phrasal queries: apache (lucene solr)\~3 :: find apache and then either lucene or solr within three words. * Can use multiterms in phrasal queries: jakarta\~1 ap*che\~2 * Did I mention full recursion: \[\[jakarta\~1 ap*che\]\~2 (solr~ /l\[ou\]\+\[cs\]\[en\]\+/)]\~10 :: Find something like jakarta within two words of ap*che and that hit has to be within ten words of something like solr or that lucene regex. * Can require at least x number of hits at boolean level: apache AND (lucene solr tika)~2 * Can use negative only query: -jakarta :: Find all docs that don't contain jakarta * Can use an edit distance 2 for fuzzy query via SlowFuzzyQuery (beware of potential performance issues!). Trivial additions: * Can specify prefix length in fuzzy queries: jakarta~1,2 (edit distance =1, prefix =2) * Can specifiy Optimal String Alignment (OSA) vs Levenshtein for distance =2: (jakarta~1 (OSA) vs jakarta~1(Levenshtein) This parser can be very useful for concordance tasks (see also LUCENE-5317 and LUCENE-5318) and for analytical search. Until LUCENE-2878 is closed, this might have a use for fans of SpanQuery. Most of the documentation is in the javadoc for SpanQueryParser. Any and all feedback is welcome. Thank you. -- This message was sent by Atlassian JIRA (v6.2#6252) - To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org
[jira] [Commented] (LUCENE-1486) Wildcards, ORs etc inside Phrase queries
[ https://issues.apache.org/jira/browse/LUCENE-1486?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13917848#comment-13917848 ] Nikhil Chhaochharia commented on LUCENE-1486: - It looks like there is a problem with stopwords also - a query like A for B where 'for' is a stopword is parsed as A B and does not match documents containing A for B. Wildcards, ORs etc inside Phrase queries Key: LUCENE-1486 URL: https://issues.apache.org/jira/browse/LUCENE-1486 Project: Lucene - Core Issue Type: Improvement Components: core/queryparser Affects Versions: 2.4 Reporter: Mark Harwood Priority: Minor Fix For: 4.7 Attachments: ComplexPhraseQueryParser.java, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, Lucene-1486 non default field.patch, TestComplexPhraseQuery.java, junit_complex_phrase_qp_07_21_2009.patch, junit_complex_phrase_qp_07_22_2009.patch An extension to the default QueryParser that overrides the parsing of PhraseQueries to allow more complex syntax e.g. wildcards in phrase queries. The implementation feels a little hacky - this is arguably better handled in QueryParser itself. This works as a proof of concept for much of the query parser syntax. Examples from the Junit test include: checkMatches(\j* smyth~\, 1,2); //wildcards and fuzzies are OK in phrases checkMatches(\(jo* -john) smith\, 2); // boolean logic works checkMatches(\jo* smith\~2, 1,2,3); // position logic works. checkBadQuery(\jo* id:1 smith\); //mixing fields in a phrase is bad checkBadQuery(\jo* \smith\ \); //phrases inside phrases is bad checkBadQuery(\jo* [sma TO smZ]\ \); //range queries inside phrases not supported Code plus Junit test to follow... -- This message was sent by Atlassian JIRA (v6.2#6252) - To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org
[jira] [Commented] (LUCENE-1486) Wildcards, ORs etc inside Phrase queries
[ https://issues.apache.org/jira/browse/LUCENE-1486?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13905074#comment-13905074 ] Nikhil Chhaochharia commented on LUCENE-1486: - LUCENE-5205 is very interesting, thanks for pointing me to it. However, we should still try to get LUCENE-1486 closed - most of the work has already been done and it may be useful in certain cases where the full power of LUCENE-5205 is not required. Wildcards, ORs etc inside Phrase queries Key: LUCENE-1486 URL: https://issues.apache.org/jira/browse/LUCENE-1486 Project: Lucene - Core Issue Type: Improvement Components: core/queryparser Affects Versions: 2.4 Reporter: Mark Harwood Priority: Minor Fix For: 4.7 Attachments: ComplexPhraseQueryParser.java, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, Lucene-1486 non default field.patch, TestComplexPhraseQuery.java, junit_complex_phrase_qp_07_21_2009.patch, junit_complex_phrase_qp_07_22_2009.patch An extension to the default QueryParser that overrides the parsing of PhraseQueries to allow more complex syntax e.g. wildcards in phrase queries. The implementation feels a little hacky - this is arguably better handled in QueryParser itself. This works as a proof of concept for much of the query parser syntax. Examples from the Junit test include: checkMatches(\j* smyth~\, 1,2); //wildcards and fuzzies are OK in phrases checkMatches(\(jo* -john) smith\, 2); // boolean logic works checkMatches(\jo* smith\~2, 1,2,3); // position logic works. checkBadQuery(\jo* id:1 smith\); //mixing fields in a phrase is bad checkBadQuery(\jo* \smith\ \); //phrases inside phrases is bad checkBadQuery(\jo* [sma TO smZ]\ \); //range queries inside phrases not supported Code plus Junit test to follow... -- This message was sent by Atlassian JIRA (v6.1.5#6160) - To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org
[jira] [Commented] (LUCENE-1486) Wildcards, ORs etc inside Phrase queries
[ https://issues.apache.org/jira/browse/LUCENE-1486?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13903081#comment-13903081 ] Nikhil Chhaochharia commented on LUCENE-1486: - The patch posted by Ahmet Arslan on 8th Feb 2012 looks good to me. I have been using it in production for some time and did not find any issues. I will request a committer to kindly look into this and help get this included into Solr 4.7. If any further work is required, then I will be happy to give it a shot. Wildcards, ORs etc inside Phrase queries Key: LUCENE-1486 URL: https://issues.apache.org/jira/browse/LUCENE-1486 Project: Lucene - Core Issue Type: Improvement Components: core/queryparser Affects Versions: 2.4 Reporter: Mark Harwood Priority: Minor Fix For: 4.7 Attachments: ComplexPhraseQueryParser.java, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, LUCENE-1486.patch, Lucene-1486 non default field.patch, TestComplexPhraseQuery.java, junit_complex_phrase_qp_07_21_2009.patch, junit_complex_phrase_qp_07_22_2009.patch An extension to the default QueryParser that overrides the parsing of PhraseQueries to allow more complex syntax e.g. wildcards in phrase queries. The implementation feels a little hacky - this is arguably better handled in QueryParser itself. This works as a proof of concept for much of the query parser syntax. Examples from the Junit test include: checkMatches(\j* smyth~\, 1,2); //wildcards and fuzzies are OK in phrases checkMatches(\(jo* -john) smith\, 2); // boolean logic works checkMatches(\jo* smith\~2, 1,2,3); // position logic works. checkBadQuery(\jo* id:1 smith\); //mixing fields in a phrase is bad checkBadQuery(\jo* \smith\ \); //phrases inside phrases is bad checkBadQuery(\jo* [sma TO smZ]\ \); //range queries inside phrases not supported Code plus Junit test to follow... -- This message was sent by Atlassian JIRA (v6.1.5#6160) - To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org
[jira] Created: (SOLR-734) NPE in SolrCore
NPE in SolrCore --- Key: SOLR-734 URL: https://issues.apache.org/jira/browse/SOLR-734 Project: Solr Issue Type: Bug Affects Versions: 1.3 Reporter: Nikhil Chhaochharia Fix For: 1.3 SolrCore.getStatistics() calls getCoreDescriptor().getCoreContainer().getCoreNames(this) without checking if the CoreDescriptor is null. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
[jira] Commented: (SOLR-734) NPE in SolrCore
[ https://issues.apache.org/jira/browse/SOLR-734?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=12626537#action_12626537 ] Nikhil Chhaochharia commented on SOLR-734: -- I have a SolrConfig object and an IndexSchema object. I was using them to create an instance of SolrCore. Passing null as CoreDescriptor was working atleast till the 14th-Aug nightly. I want to get an instance of SolrCore and am slightly confused with the CoreDescriptor, CoreContainer etc. that have been recently introduced. The best thing for me would be a code snippet which shows how to create a SolrCore if I have a SolrConfig object and an IndexSchema object. BTW, I had posted this issue on the mailing list also and it is being discussed there also. NPE in SolrCore --- Key: SOLR-734 URL: https://issues.apache.org/jira/browse/SOLR-734 Project: Solr Issue Type: Bug Affects Versions: 1.3 Reporter: Nikhil Chhaochharia Fix For: 1.3 SolrCore.getStatistics() calls getCoreDescriptor().getCoreContainer().getCoreNames(this) without checking if the CoreDescriptor is null. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
