Last active
December 23, 2015 23:49
-
-
Save alessandrobenedetti/6713103 to your computer and use it in GitHub Desktop.
Elastic Search [Query Time Join] [has_child] Type [<type>] does not have parent mapping
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
// index type creation | |
curl -XPUT 'http://localhost:9200/example/' -d ' | |
index : | |
number_of_shards : 3 | |
number_of_replicas : 2 | |
' | |
curl -XPUT 'http://localhost:9200/example/document3/_mapping' -d '{"document3" : {"properties":{"label" : {"type" : "string", "store" : "yes", "indexed" : "analysed"},"description" : {"type" : "string", "store" : "yes", "indexed" : "analyzed"}}}}' | |
curl -XPUT 'http://localhost:9200/example/entity6/_mapping' -d '{"entity6" : {"properties":{"label" : {"type" : "string", "store" : "yes", "index" : "analyzed"},"description" : {"type" : "string", "store" : "yes", "index" : "analyzed"}}}}' | |
curl -XPUT 'http://localhost:9200/example/entity6/_mapping' -d '{"entity6" : {"_parent" : {"type" : "document3"}}}' | |
// Check the mappings | |
curl http://localhost:9200/example/entity6/_mapping | |
curl http://localhost:9200/example/document3/_mapping | |
//Indexing -> Java API 1000 document3 and 100 entity6 | |
//document3 | |
String json = "{" + | |
"\"_id\":\"docId"+i+"\"," + | |
"\"title\":\"Title"+i+"\"," + | |
"\"content\":\"A process that compacts the index and merges segments in order to improve query performance.\" +\n" + | |
" \" New secondary segment(s) are created to contain documents inserted into the collection after it has been optimized. \" +\n" + | |
" \"A Lucene collection must be optimized periodically to maintain satisfactory query performance. \" +\n" + | |
" \"Optimization is run on the master server only. An optimized index will give you a performance gain at query time of at least 10%. \" +\n" + | |
" \"This gain may be more on an index that has become fragmented over a period of time with many updates and no optimizations.\" +\n" + | |
" \" Optimizations require a much longer time than does the distribution of an optimized collection to all slaves. Vegeta"+i+"\"," + | |
"}"; | |
// entity6 | |
String json = "{" + | |
"\"_parent\":\""+parentId+"\"," + | |
"\"label\":\"label"+i+labelContent.toString()+"\"," + | |
"\"description\":\"A process that compacts the index and merges segments in order to improve query performance." + | |
" New secondary segment(s) are created to contain documents inserted into the collection after it has been optimized." + | |
" A Lucene collection must be optimized periodically to maintain satisfactory query performance." + | |
" Optimization is run on the master server only. An optimized index will give you a performance gain at query time of at least 10%." + | |
" This gain may be more on an index that has become fragmented over a period of time with many updates and no optimizations." + | |
" Optimizations require a much longer time than does the distribution of an optimized collection to all slaves. Vegeta"+i+"\"" + | |
"}"; | |
//querying | |
{"query":{"has_child":{"type":"entity6","score_type":"max","query":{"term":{"label":"vegeta"}}}}} | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Exception :
nested: QueryParsingException[[exercise] [has_child] Type [entity6] does not have parent mapping