I have kibana documents that look like this
{
"_index": "echo.caspian-test.2020-06-11.idx.2",
"_type": "status",
"_id": "01754abe95fd084495da20646194fdf7",
"_score": 1,
"_source": {
"applicationVersion": "9f80e49dea1c647fa1baf2e70665aba3a74158eb",
"echoClientVersion": "1.5.1",
"echoMetadata": {
"transportType": "echo"
},
"dataCenter": "hdc-digital-non-prod",
"echoLoggerVersion": "EchoLogbackAppender-1.5.1",
"host": "e22ab1e4-9256-438b-5855-ad04",
"type": "INFO",
"message": "AddUpdate process method ends",
"messageDetail": {
"logger": "com.kroger.cxp.app.transformer.processor.AddUpdateTransformerImpl",
"thread": "DispatchThread: [com.ibm.mq.jmqi.remote.impl.RemoteSession[:/1f6e1b6c][connectionId=414D5143514D2E4150504C2E54455354967C7F5F0407B82E]]"
},
"routingKey": "caspian-test",
"timestamp": "1603276805250"
},
"fields": {
"timestamp": [
"2020-10-21T10:40:05.250Z"
]
}
}
I need to search all the docs having a particular connectionId which is present in
"messageDetail": { "logger": "com.kroger.cxp.app.transformer.processor.AddUpdateTransformerImpl", "thread": "DispatchThread: [com.ibm.mq.jmqi.remote.impl.RemoteSession[:/1f6e1b6c][connectionId=414D5143514D2E4150504C2E54455354967C7F5F0407B82E]]" }
How can i do that . I have tried searching for messageDetail.thread=%$CONNECTION_ID% but it didn't work
You need to add a nested path
in your search query to make it work and your messageDetail
must be of nested datatype, something like below
{
"query": {
"nested": {
"path": "messageDetail", --> note this
"query": {
"bool": {
"must": [
{
"match": {
"messageDetail. thread": "CONNECTION_ID"
}
}
]
}
}
}
}
}
Adding a working sample with mapping, search query, and result
Index mapping
{
"mappings": {
"properties": {
"messageDetail": {
"type" : "nested"
}
}
}
}
Index sample doc
{
"applicationVersion": "9f80e49dea1c647fa1baf2e70665aba3a74158eb",
"echoClientVersion": "1.5.1",
"echoMetadata": {
"transportType": "echo"
},
"dataCenter": "hdc-digital-non-prod",
"echoLoggerVersion": "EchoLogbackAppender-1.5.1",
"host": "e22ab1e4-9256-438b-5855-ad04",
"type": "INFO",
"message": "AddUpdate process method ends",
"messageDetail": {
"logger": "com.kroger.cxp.app.transformer.processor.AddUpdateTransformerImpl",
"thread": "DispatchThread: [com.ibm.mq.jmqi.remote.impl.RemoteSession[:/1f6e1b6c][connectionId=414D5143514D2E4150504C2E54455354967C7F5F0407B82E]]"
},
"routingKey": "caspian-test",
"timestamp": "1603276805250"
}
And search query
{
"query": {
"nested": {
"path": "messageDetail",
"query": {
"bool": {
"must": [
{
"match": {
"messageDetail.thread": "DispatchThread"
}
}
]
}
}
}
}
}
And search res
"hits": [
{
"_index": "nestedmsg",
"_type": "_doc",
"_id": "1",
"_score": 0.2876821,
"_source": {
"applicationVersion": "9f80e49dea1c647fa1baf2e70665aba3a74158eb",
"echoClientVersion": "1.5.1",
"echoMetadata": {
"transportType": "echo"
},
"dataCenter": "hdc-digital-non-prod",
"echoLoggerVersion": "EchoLogbackAppender-1.5.1",
"host": "e22ab1e4-9256-438b-5855-ad04",
"type": "INFO",
"message": "AddUpdate process method ends",
"messageDetail": {
"logger": "com.kroger.cxp.app.transformer.processor.AddUpdateTransformerImpl",
"thread": "DispatchThread: [com.ibm.mq.jmqi.remote.impl.RemoteSession[:/1f6e1b6c][connectionId=414D5143514D2E4150504C2E54455354967C7F5F0407B82E]]"
},
"routingKey": "caspian-test",
"timestamp": "1603276805250"
}
}
]