Create index in Elasticsearch and add type definition mapping

For the first contact with elasticsearch children's shoes, in order to facilitate the understanding of the Elasticsearch and MySQL in contrast to explain:

The index in ES is the equivalent of MySQL db, a MySQL can have multiple db, similar, an ES cluster can have multiple index.

The type in ES is the equivalent of a table in MySQL, where a db in MySQL can have multiple tables that store one of our data in a table.

The type corresponding to the mapping in Es, which corresponds to the table structure in MySQL, defines the data type of the different fields.

That is, summarize:

When we want to store some of our business data in ES, we need 1 to build a index;2, create a corresponding type in this index, define its data format mapping;3, and then store our data in ES after the first two steps are successful.

1. Establish index

" Localhost:9200/hot_rank_201802?pretty "    # hot_rank_201802 is the index name

2. Build type and build mapping

#hot_rank_201802 is the index name Baidu_hot_search_rank is the type name-D followed by the corresponding MySQL table structureCurl-xput'Localhost:9200/hot_rank_201802/_mapping/baidu_hot_search_rank?pretty'-H'Content-type:application/json'-D'{  "Properties": {    "Long_rank": {        "type":"Long"    },    "Kw_topic": {        "type":"keyword"    },    "Kw_url": {        "type":"keyword"    },    "Kw_mark": {        "type":"keyword"    },    "Long_searchindex": {        "type":"Long"    },    "Date_grabat": {        "type":"Date"    },    "Kw_relatednewsurl": {        "type":"keyword"    },    "Kw_relatedvideourl": {        "type":"keyword"    },    "Kw_relatedimgurl": {        "type":"keyword"    }  }}'

After these two steps, we have successfully established our data table in ES.

Create index in Elasticsearch and add type definition mapping