How to index dump of html files to elasticsearch?

Question

I am totaly new in elastic so my knowledge is only from elasticsearch site and I need to help. My task is to index large row data in html format into elastic search. I already c

Answer 1

@javanna's suggestion to look at the Bulk API will definitely lead you in the right direction. If you are using NEST, you can store all your objects in a list which you can then serialize JSON objects for indexing the content.

Specifically, if you want to strip the html tags out prior to indexing and storing the content as is, you can use the mapper attachment plugin - in which when you define the mapping, you can categorize the content_type to be "html."

The mapper attachment is useful for many things especially if you are handling multiple document types, but most notably - I believe just using this for the purpose of stripping out the html tags is sufficient enough (which you cannot do with the html_strip char filter).

Just a forewarning though - NONE of the html tags will be stored. So if you do need those tags somehow, I would suggest defining another field to store the original content. Another note: You cannot specify multifields for mapper attachment documents, so you would need to store that outside of the mapper attachment document. See my working example below.

You'll need to result in this mapping:

{
  "html5-es" : {
    "aliases" : { },
    "mappings" : {
      "document" : {
        "properties" : {
          "delete" : {
            "type" : "boolean"
          },
          "file" : {
            "type" : "attachment",
            "fields" : {
              "content" : {
                "type" : "string",
                "store" : true,
                "term_vector" : "with_positions_offsets",
                "analyzer" : "autocomplete"
              },
              "author" : {
                "type" : "string",
                "store" : true,
                "term_vector" : "with_positions_offsets"
              },
              "title" : {
                "type" : "string",
                "store" : true,
                "term_vector" : "with_positions_offsets",
                "analyzer" : "autocomplete"
              },
              "name" : {
                "type" : "string"
              },
              "date" : {
                "type" : "date",
               "format" : "strict_date_optional_time||epoch_millis"
              },
              "keywords" : {
                "type" : "string"
              },
              "content_type" : {
                "type" : "string"
              },
          "content_length" : {
                "type" : "integer"
              },
              "language" : {
                "type" : "string"
              }
            }
          },
          "hash_id" : {
            "type" : "string"
          },
          "path" : {
            "type" : "string"
          },
          "raw_content" : {
            "type" : "string",
            "store" : true,
            "term_vector" : "with_positions_offsets",
            "analyzer" : "raw"
          },
          "title" : {
            "type" : "string"
          }
        }
      }
    },
    "settings" : { //insert your own settings here },
    "warmers" : { }
  }
}

Such that in NEST, I will assemble the content as such:

Attachment attachment = new Attachment();
attachment.Content =   Convert.ToBase64String(File.ReadAllBytes("path/to/document"));
attachment.ContentType = "html";

Document document = new Document();
document.File = attachment;
document.RawContent = InsertRawContentFromString(originalText);

I have tested this in Sense - results are as follows:

"file": {
    "_content": "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",
    "_content_length": 0,
    "_content_type": "html",
    "_date": "0001-01-01T00:00:00",
    "_title": "Topic10"
},
"delete": false,
"raw_content": "
Topic10
Delete this text and replace it with your own content. Check your mailbox.
 
asdf
 
10
 
Lavender.
 
10/6 12:03
 
5 09
 
11 47
 
Halloween is in October.
 
jog
"
},
"highlight": {
"file.content": [
    "\n    Topic10\n\n    Delete this text and replace it with your own content. Check your mailbox.\n\n     \n\n    asdf\n\n     \n\n    10\n\n     \n\n    Lavender.\n\n     \n\n    10/6 12:03\n\n     \n\n    5 09\n\n     \n\n    11 47\n\n     \n\n    Halloween is in October.\n\n     \n\n    jog\n\n  "
    ]
}