Match query not returning results

Elastic Stack Elasticsearch
1

Hi everyone,

I started today with Elastic Search and have been working on some endpoints to get and post data.
I do get a problem when trying to get results back on a match query.

This is my document:

{ 
exception: [
  {
    "name": "test null",
    "type": "test type null",
    "sequence": 1,
    "message": "test message null",
    "stacktrace": "test stacktrace null",
    "customer": 1,
    "createdate": "2023-07-03T14:55:14.0535593+02:00"
  },
  {
    "name": "test2 null",
    "type": "test2 2type ",
    "sequence": 2,
    "message": "test2 message null",
    "stacktrace": "test2 stacktrace null",
    "customer": 2,
    "createdate": "2023-07-03T14:55:14.0535593+02:00"
  }
],
customerName: "test"
}

This is my query and URL:

https:/ /test./search-exceptions/_search?


{
  "query": {
    "match": {
      "type": {
          "query": "test2 2type",
          "operator": "AND"
      }
    }
  }
}

Why do i get 0 results?

Thanks in advance!

2

Welcome!

What's the mapping?

3

Thank you Dadoonet!
I knew I forgot something.

I find it weird that in the mapping exceptionlog doesn't have anything like type: nested because its an array with objects like this:

{
    "name": "test2 null",
    "type": "test2 2type ",
    "sequence": 2,
    "message": "test2 message null",
    "stacktrace": "test2 stacktrace null",
    "customer": 2,
    "createdate": "2023-07-03T14:55:14.0535593+02:00"
  }

Here is my mapping (the mapping was added auto by the _bulk endpoint when i sent my first data to the index):

{
  "mappings": {
    "dynamic": "true",
    "dynamic_templates": [
      {
        "all_text_fields": {
          "match_mapping_type": "string",
          "mapping": {
            "analyzer": "iq_text_base",
            "fields": {
              "delimiter": {
                "analyzer": "iq_text_delimiter",
                "type": "text",
                "index_options": "freqs"
              },
              "joined": {
                "search_analyzer": "q_text_bigram",
                "analyzer": "i_text_bigram",
                "type": "text",
                "index_options": "freqs"
              },
              "prefix": {
                "search_analyzer": "q_prefix",
                "analyzer": "i_prefix",
                "type": "text",
                "index_options": "docs"
              },
              "enum": {
                "ignore_above": 2048,
                "type": "keyword"
              },
              "stem": {
                "analyzer": "iq_text_stem",
                "type": "text"
              }
            }
          }
        }
      }
    ],
    "properties": {
      "customerstage": {
        "type": "text",
        "fields": {
          "delimiter": {
            "type": "text",
            "index_options": "freqs",
            "analyzer": "iq_text_delimiter"
          },
          "enum": {
            "type": "keyword",
            "ignore_above": 2048
          },
          "joined": {
            "type": "text",
            "index_options": "freqs",
            "analyzer": "i_text_bigram",
            "search_analyzer": "q_text_bigram"
          },
          "prefix": {
            "type": "text",
            "index_options": "docs",
            "analyzer": "i_prefix",
            "search_analyzer": "q_prefix"
          },
          "stem": {
            "type": "text",
            "analyzer": "iq_text_stem"
          }
        },
        "analyzer": "iq_text_base"
      },
      "exceptionlog": {
        "properties": {
          "createDate": {
            "type": "date"
          },
          "createdate": {
            "type": "date"
          },
          "customerstagekey": {
            "type": "text",
            "fields": {
              "delimiter": {
                "type": "text",
                "index_options": "freqs",
                "analyzer": "iq_text_delimiter"
              },
              "enum": {
                "type": "keyword",
                "ignore_above": 2048
              },
              "joined": {
                "type": "text",
                "index_options": "freqs",
                "analyzer": "i_text_bigram",
                "search_analyzer": "q_text_bigram"
              },
              "prefix": {
                "type": "text",
                "index_options": "docs",
                "analyzer": "i_prefix",
                "search_analyzer": "q_prefix"
              },
              "stem": {
                "type": "text",
                "analyzer": "iq_text_stem"
              }
            },
            "analyzer": "iq_text_base"
          },
          "name": {
            "type": "text",
            "fields": {
              "delimiter": {
                "type": "text",
                "index_options": "freqs",
                "analyzer": "iq_text_delimiter"
              },
              "enum": {
                "type": "keyword",
                "ignore_above": 2048
              },
              "joined": {
                "type": "text",
                "index_options": "freqs",
                "analyzer": "i_text_bigram",
                "search_analyzer": "q_text_bigram"
              },
              "prefix": {
                "type": "text",
                "index_options": "docs",
                "analyzer": "i_prefix",
                "search_analyzer": "q_prefix"
              },
              "stem": {
                "type": "text",
                "analyzer": "iq_text_stem"
              }
            },
            "analyzer": "iq_text_base"
          },
          "message": {
            "type": "text",
            "fields": {
              "delimiter": {
                "type": "text",
                "index_options": "freqs",
                "analyzer": "iq_text_delimiter"
              },
              "enum": {
                "type": "keyword",
                "ignore_above": 2048
              },
              "joined": {
                "type": "text",
                "index_options": "freqs",
                "analyzer": "i_text_bigram",
                "search_analyzer": "q_text_bigram"
              },
              "prefix": {
                "type": "text",
                "index_options": "docs",
                "analyzer": "i_prefix",
                "search_analyzer": "q_prefix"
              },
              "stem": {
                "type": "text",
                "analyzer": "iq_text_stem"
              }
            },
            "analyzer": "iq_text_base"
          },
          "sequence": {
            "type": "long"
          },
          "stacktrace": {
            "type": "text",
            "fields": {
              "delimiter": {
                "type": "text",
                "index_options": "freqs",
                "analyzer": "iq_text_delimiter"
              },
              "enum": {
                "type": "keyword",
                "ignore_above": 2048
              },
              "joined": {
                "type": "text",
                "index_options": "freqs",
                "analyzer": "i_text_bigram",
                "search_analyzer": "q_text_bigram"
              },
              "prefix": {
                "type": "text",
                "index_options": "docs",
                "analyzer": "i_prefix",
                "search_analyzer": "q_prefix"
              },
              "stem": {
                "type": "text",
                "analyzer": "iq_text_stem"
              }
            },
            "analyzer": "iq_text_base"
          },
          "type": {
            "type": "text",
            "fields": {
              "delimiter": {
                "type": "text",
                "index_options": "freqs",
                "analyzer": "iq_text_delimiter"
              },
              "enum": {
                "type": "keyword",
                "ignore_above": 2048
              },
              "joined": {
                "type": "text",
                "index_options": "freqs",
                "analyzer": "i_text_bigram",
                "search_analyzer": "q_text_bigram"
              },
              "prefix": {
                "type": "text",
                "index_options": "docs",
                "analyzer": "i_prefix",
                "search_analyzer": "q_prefix"
              },
              "stem": {
                "type": "text",
                "analyzer": "iq_text_stem"
              }
            },
            "analyzer": "iq_text_base"
          }
        }
      }
    }
  }
}
4

May be. But what is generating the data/the mapping?

5

Thanks for replying, the mapping was added auto by the _bulk endpoint when i sent my first data to the index.

6

So Elasticsearch can not guess if you want to flatten the inner documents or use a nested structure, meaning more Lucene documents under the hood.

You need to create the mapping before indexing the first document and that's anyway a best practice. You can use an index template for that as well.

7

Thanks @dadoonet.

I found oud indeed that its better to create the indexing before my first document. I thought it would be nice ( and easy) if it can met auto generated by elastic self. I put your answer as solution as it would be the solution for my problem. Thanks!

8

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