How can i replace the "build_duration" : "null", with value 21600000 in elasticsearch?
DevTools > Console
GET myindex/_search
{
"query": {
"term": {
"build_duration": "null"
}
}
}
Output:-
{
"took" : 10,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 9.658761,
"hits" : [
{
"_index" : "myindex",
"_type" : "_doc",
"_id" : "40324749",
"_score" : 9.658761,
"_source" : {
"build_duration" : "null",
"build_end_time" : "2021-05-20 04:00:36",
"build_requester" : "daniel.su",
"build_site" : "POL",
"build_id" : "40324749",
"#version" : "1"
}
}
]
}
}
With below query able to replace the filed value.
POST /myindex/_update/mydocid
{
"doc" : {
"build_duration": "21600000"
}
}
Related
I want to convert this query:
GET demo-index/_search
{
"fields": [
"*"
]
}
into something like this:
GET demo-index/_search?fields=*
is it possible to do fields queries in this way or a way similar to it without using a json body for the request?
You can try with filter_path :
If we've have the next return:
{
"took" : 3,
"timed_out" : false,
"_shards" : {
"total" : 3,
"successful" : 3,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 10000,
"relation" : "gte"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "demo-index",
"_type" : "_doc",
"_id" : "32223223d3e23dd23d2x23",
"_score" : 1.0,
"_source" : {
"username" : "Mike",
"date" : "2022-04-04"
}
}
]
}
}
And we would like to return all fields,we should write the path as follows:
GET demo-index/_search?filter_path=hits.hits._source.*
If we would like the specifics fields like "username", we should write the path as follows
GET demo-index/_search?filter_path=hits.hits._source.username
I try to reduce the json result of elasticsearch to only the column or columns i suggested to get. Is there any way?
When I use the following command, I get the result nasted into "_source":
{
"from": "0", "size":"2",
"_source":["id"],
"query": {
"match_all": {}
}
}
'
and there is no need for my use case.
I get this result:
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 10000,
"relation" : "gte"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "indexer_1",
"_type" : "type_indexer_1",
"_id" : "38142",
"_score" : 1.0,
"_source" : {
"id" : 38142
}
},
{
"_index" : "indexer_1",
"_type" : "type_indexer_1",
"_id" : "38147",
"_score" : 1.0,
"_source" : {
"id" : 38147
}
}
]
}
}
What I would like to have:
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 10000,
"relation" : "gte"
},
"max_score" : 1.0,
"hits" : [
{
"id" : 38142
},
{
"id" : 38147
}
]
}
}
And this json-result I would love:
{
{
"id" : 38142
},
{
"id" : 38147
}
}
Is there any way out of the box in ES to reduce the result set?
you can filter the output JSON look at the documentation : response filtering
GET /index/_search?filter_path=hits.hits._id
{
"from": "0",
"size":"2",
"_source":["id"],
"query": {
"match_all": {}
}
}
This is basic_data(example) Output value
{
"took" : 1,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 163,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "0513_final_test_instgram",
"_type" : "_doc",
"_id" : "6uShY3kBEkIlakOYovrR",
"_score" : 1.0,
"_source" : {
"host" : "DESKTOP-7MDCA36",
"path" : "C:/python_file/20210513_114123_instargram.csv",
"#version" : "1",
"message" : "hello",
"#timestamp" : "2021-05-13T02:50:05.962Z"
},
{
"_index" : "0513_final_test_instgram",
"_type" : "_doc",
"_id" : "EeShY3kBEkIlakOYovvm",
"_score" : 1.0,
"_source" : {
"host" : "DESKTOP-7MDCA36",
"path" : "C:/python_file/20210513_114123_instargram.csv",
"#version" : "1",
"message" : "python,
"#timestamp" : "2021-05-13T02:50:05.947Z"
}
First of all, out of various field values, only message values have been extracted.(under code example)
GET 0513_final_test_instgram/_search?_source=message&filter_path=hits.hits._source
{
"hits" : {
"hits" : [
{
"_source" : {
"message" : "hello"
}
},
{
"_source" : {
"message" : "python"
}
I got to know reindex that stores new indexes.
https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-reindex.html
However, I don't know even if I look at the document.
0513 attempt code
POST _reindex
{
"source": {
"index": "0513_final_test_instgram"
},
"dest": {
"index": "new_data_index"
}
}
How do you use reindex to store data that only extracted message values in a new index?
update comment attempt
output
{
"took" : 1,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 163,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "new_data_index",
"_type" : "_doc",
"_id" : "6uShY3kBEkIlakOYovrR",
"_score" : 1.0,
"_source" : {
"message" : "hello"
}
},
{
"_index" : "new_data_index",
"_type" : "_doc",
"_id" : "EeShY3kBEkIlakOYovvm",
"_score" : 1.0,
"_source" : {
"message" : "python"
}
}
You simply need to specify which fields you want to reindex into the new index:
{
"source": {
"index": "0513_final_test_instgram",
"_source": ["message"]
},
"dest": {
"index": "new_data_index"
}
}
I need to compare two fields in Elasticsearch. I tried with below query using Kibana. But it's a gave runtime exception. Kindly help me how to compare these fields.
GET /eps/_search
{
"query": {
"bool" : {
"filter" : {
"script" : {
"script" : {
"source": "doc['output_record_count'].value < doc['input_record_count'].value",
"lang" : "painless"
}
}
}
}
}
}
Note:
For complete Match query I am getting below success response.
Query:
GET /eps/_search
{
"query": {
"match_all": {}
}
}
The Response is :
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 5,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "eps",
"_type" : "_doc",
"_id" : "9bNkeXEBLNJ-eURYKdv1",
"_score" : 1.0,
"_source" : {
"experience" : "EPS",
"#version" : "1",
"sdcids" : "013bb234-0840-11ea-8e7d-515f88cf3efa",
"output_record_count" : 13,
"input_record_count" : 10,
"#timestamp" : "2020-04-14T15:52:19.582Z",
"SDC_Ids" : "013bb234-0840-11ea-8e7d-515f88cf3efa"
}
}
]
}
}
Here is my index:
λ curl -XGET -u elastic:elasticpassword http://192.168.1.71:9200/test/mytype/_search?pretty -d'{"query":{"match_all":{}}}'
{
"took" : 5,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 2,
"max_score" : 1.0,
"hits" : [
{
"_index" : "test",
"_type" : "mytype",
"_id" : "2",
"_score" : 1.0,
"_source" : {
"name" : "Dio",
"age" : 10
}
},
{
"_index" : "test",
"_type" : "mytype",
"_id" : "1",
"_score" : 1.0,
"_source" : {
"name" : "Paul",
"pro" : {
"f" : "Cris",
"t" : "So"
}
}
}
]
}
}
Here is a default mapping:
λ curl -XGET -u elastic:elasticpassword http://192.168.1.71:9200/test/mytype/_mapping?pretty
{
"test" : {
"mappings" : {
"mytype" : {
"properties" : {
"age" : {
"type" : "long"
},
"name" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
I can find by age field, but cannot by name field. Why ?
λ curl -XGET -u elastic:elasticpassword http://192.168.1.71:9200/test/mytype/_search?pretty -d'{"query":{"term":{"age":10}}}'
{
"took" : 6,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 1,
"max_score" : 1.0,
"hits" : [
{
"_index" : "test",
"_type" : "mytype",
"_id" : "2",
"_score" : 1.0,
"_source" : {
"name" : "Dio",
"age" : 10
}
}
]
}
}
λ curl -XGET -u elastic:elasticpassword http://192.168.1.71:9200/test/mytype/_search?pretty -d'{"query":{"term":{"name":"Paul"}}}'
{
"took" : 5,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 0,
"max_score" : null,
"hits" : [ ]
}
}
The problem is that you name field is analyzed by default with the standard analyzer, which lowercases the field. You can either search for paul or search in name.keyword field with Paul.