_doc is a mapping type, which by the way is now deprecated. A mapping type used to be a separate collection inside the same index. E.g. a twitter index could have a mapping of type user for storing all users, and a mapping of type tweet to store all tweets. Both of these types still …
You can ask ES to sort the results via the s (sort) searchParameter using s=i or s=index curl “localhost:9200/_cat/indices?pretty&s=i” curl “localhost:9200/_cat/aliases?pretty&s=index” To see the column’s headers, add “&v” : curl “localhost:9200/_cat/indices?pretty&v&s=index”`. You can find some explanations in the cat/indices documentation
I have been stuck for months on this problem, the solution is launch the following commands on cmd.exe (try Powershell or Bash if cmd doesn’t work), as stated in the official Elasticsearch documentation: 1) wsl -d docker-desktop 2) sysctl -w vm.max_map_count=262144 And you are ready to start Elasticsearch!
Just type brew info elasticsearch, it should print you all the paths.
If you need to also be notified on DELETEs and delete the respective record in Elasticsearch, it is true that the Logstash jdbc input will not help. You’d have to use a solution working around the binlog as suggested here However, if you still want to use the Logstash jdbc input, what you could do …
For that requirement to be achieved, you need to look at nested objects, not to query a flattened list of values but individual values from that nested object. For example: { “mappings”: { “people”: { “properties”: { “name”: { “type”: “string” }, “quotations”: { “type”: “nested”, “properties”: { “value”: { “type”: “string” } } } …
You need to define a mapping using Put Mapping API. curl -XPUT ‘http://localhost:9200/twitter/_doc/_mapping’ -H ‘Content-Type: application/json’ -d ‘ { “_doc” : { “properties” : { “message” : {“type” : “text”, “store” : true} } } } ‘ A date can be defined as follow: curl -XPUT ‘http://localhost:9200/twitter/_doc/_mapping’ -H ‘Content-Type: application/json’ -d ‘ { “_doc” : …
In Elasticsearch, there is no dedicated array type. Any field can contain zero or more values by default, however, all values in the array must be of the same datatype. So you don’t have to specify anything specific in the mapping to store an array of values. For more information look at: https://www.elastic.co/guide/en/elasticsearch/reference/current/array.html
Define “better”… sql full text search is fairly trivial to get working (indexing and query) – but it has penalties: very little (virtually no) control over how things are indexed (what the index keys are; what the lexers/stemmers/etc are; etc) runs on the sql server – which is usually your least scalable infrastructure Elastic search …
The sql query is equivalent to: { “query”: { “bool”: { “must”: [ { “term”: { “field1”: “X” } }, { “term”: { “field3”: “Z” } } ], “must_not”: { “term”: { “field2”: “Y” } } } } } In any case I recommend you to read a bit the doc before starting with elasticsearch …