{"id":3580,"date":"2018-06-06T12:51:10","date_gmt":"2018-06-06T12:51:10","guid":{"rendered":"https:\/\/www.botreetechnologies.com\/blog\/?p=3580"},"modified":"2021-01-08T11:57:41","modified_gmt":"2021-01-08T06:27:41","slug":"elasticsearch-with-django-part-3","status":"publish","type":"post","link":"https:\/\/www.botreetechnologies.com\/blog\/elasticsearch-with-django-part-3\/","title":{"rendered":"Elasticsearch Integration with Django: Execution of queries with Elasticsearch engine"},"content":{"rendered":"\n

In previous articles (Here you can read: part-1<\/a> and part-2<\/a>) we have seen that how CRUD queries work on Elasticsearch engine via terminal. I hope you understood it thoroughly. Now let’s discuss in detail about queries. So in this article, we will see how Elasticsearch engine filter records and all.<\/p>\n\n\n\n

Search Content.<\/h2>\n\n\n\n

For search the result, we just get via curl and append _search<\/i> at the end and method is GET<\/i>. And we can get all the data from an engine, execute the following command:<\/p>\n\n\n\n

From all indexes.<\/b><\/p>\n\n\n\n

curl -XGET \"http:\/\/localhost:9200\/_search?q=*&pretty\"<\/code><\/p><\/blockquote>\n\n\n\n

This will return all the data from Elasticsearch engine, even if it is from a different index because we are not passing any index in the URL.<\/p>\n\n\n\n

From a particular index.<\/b><\/p>\n\n\n\n

We will use POST<\/code><\/i> method, and we are passing the query parameter. We can also search by using the Elasticsearch domain specific language, which is passed in as a document that looks like standard JSON. Execute the following command:<\/p>\n\n\n\n

curl -XPOST 'localhost:9200\/first_index\/car\/_search?pretty' -d '{ \"query\" : { \"match_all\": { } } }'<\/code><\/p><\/blockquote>\n\n\n\n

The result will be:<\/p>\n\n\n\n

{ \"took\" : 5, \"timed_out\" : false, \"_shards\" : { \"total\" : 5, \"successful\" : 5, \"failed\" : 0}, \"hits\" : { \"total\" : 4, \"max_score\" : 1.0, \"hits\" : [ { \"_index\" : \"first_index\", \"_type\" : \"car\", \"_id\" : \"5\", \"_score\" : 1.0, \"_source\" : { \"manufacturer\" : \"Audi\", \"model\" : \"TT\" } }, { \"_index\" : \"first_index\", \"_type\" : \"car\", \"_id\" : \"4\", \"_score\" : 1.0, \"_source\" : { \"manufacturer\" : \"ABCD\", \"model\" : \"AB\" } },
\n{ \"_index\" : \"first_index\", \"_type\" : \"car\", \"_id\" : \"AWHRhEf1R_zLEbMGbfpK\", \"_score\" : 1.0, \"_source\" : { \"manufacturer\" : \"Nissan\", \"model\" : \"GT-R\" } }, { \"_index\" : \"first_index\", \"_type\" : \"car\", \"_id\" : \"1\", \"_score\" : 1.0, \"_source\" : { \"manufacturer\" : \"Porsche\", \"model\" : \"911\" } } ] } }<\/code><\/p><\/blockquote>\n\n\n\n

Search via particular attribute data.<\/h3>\n\n\n\n

We will use GET<\/b> method with ‘_search<\/code><\/b>‘. Let’s search the data:<\/p>\n\n\n\n

curl -XGET \"http:\/\/localhost:9200\/_search?q=model:AB\"<\/code><\/p>\n\n\n\n

The result will be:<\/p>\n\n\n\n

{ \"took\" : 19, \"timed_out\" : false, \"_shards\": { \"total\" : 35, \"successful\" : 35, \"failed\" : 0}, \"hits\" : { \"total\" : 1, \"max_score\" : 0.80259144, \"hits\" :[ { \"_index\" : \"first_index\", \"_type\" : \"car\", \"_id\" : \"4\", \"_score\" : 0.80259144, \"_source\" : { \"manufacturer\" : \"ABCD\", \"model\" : \"AB\" } } ] } }<\/code><\/p><\/blockquote>\n\n\n\n

Add a column in a row.<\/h3>\n\n\n\n

In this query, actually we are going to update the row or we can say the table. So append _update<\/code><\/i> at the end and use POST<\/code><\/i> method to perform this operation. Let’s try:<\/p>\n\n\n\n

curl -XPOST \"http:\/\/localhost:9200\/first_index\/car\/1\/_update\" -d '{ \"doc\": { \"type\":\"4 wheeler\" } }'<\/code><\/p><\/blockquote>\n\n\n\n

In this command, we are going to add type<\/code><\/i> column, for that we had selected particular row from the data via id<\/code><\/i> and then update it. The result will be:<\/p>\n\n\n\n

{ \"_index\" : \"first_index\", \"_type\" : \"car\", \"_id\" : \"1\", \"_version\" : 4, \"result\" : \"updated\", \"_shards\" : { \"total\" : 2, \"successful\" : 1, \"failed\" : 0} }<\/code><\/p><\/blockquote>\n\n\n\n

It tells us the result is updated.<\/p>\n\n\n\n

Let’s check the data:
curl -XGET \"http:\/\/localhost:9200\/first_index\/car\/1?pretty\"<\/code><\/p>\n\n\n\n

We will get:<\/p>\n\n\n\n

{ \"_index\" : \"first_index\", \"_type\" : \"car\", \"_id\" : \"1\", \"_version\" : 4, \"found\" : true, \"_source\" : { \"manufacturer\" : \"Porsche\", \"model\" : \"911\", \"type\" : \"4 wheeler\" } }<\/code><\/p><\/blockquote>\n\n\n\n

Read-only particular columns.<\/h3>\n\n\n\n

In this we will read a particular column, so we will use GET<\/i> method to read that particular data. If we want just data of model and type then a command is:<\/p>\n\n\n\n

curl -XGET \"http:\/\/localhost:9200\/first_index\/car\/1?_source=model,type\"<\/code><\/p>\n\n\n\n

The result will be:<\/p>\n\n\n\n

{ \"_index\" : \"first_index\", \"_type\" : \"car\", \"_id\" : \"1\", \"_version\" : 4, \"found\" : true, \"_source\" : { \"model\" : \"911\", \"type\" : \"4 wheeler\" } }<\/code><\/p><\/blockquote>\n\n\n\n

We got data from only two columns ( model and type ) from the car table.<\/p>\n\n\n\n

Remove specific column.<\/b><\/p>\n\n\n\n

In this, actually, we are going to update the table. So we will use _update<\/code><\/b> and method will be POST<\/code><\/b>. We will remove type<\/b> column from the car table then a command is:<\/p>\n\n\n\n

curl -XPOST \"http:\/\/localhost:9200\/first_index\/car\/1\/_update\" -d ' { \"script\": \"ctx._source.remove(\\\"type\\\")\" }'<\/code><\/p><\/blockquote>\n\n\n\n

The result will be:<\/p>\n\n\n\n

{ \"_index\" : \"first_index\", \"_type\" : \"car\", \"_id\" : \"1\",\"_version\" : 5, \"result\" : \"updated\", \"_shards\" : { \"total\" : 2, \"successful\" : 1, \"failed\" : 0 } }<\/code><\/p><\/blockquote>\n\n\n\n

Delete index data.<\/b><\/p>\n\n\n\n

If we want to delete all data from a particular index, then execute the following command:<\/p>\n\n\n\n

curl -XDELETE 'localhost:9200\/caption-index'<\/code><\/p><\/blockquote>\n\n\n\n

I have caption-index<\/b> and I am going to delete data from that index using DELETE<\/b> method. And the result will be:<\/p>\n\n\n\n

{\"acknowledged\":true}<\/code><\/p><\/blockquote>\n\n\n\n

If we want to delete rows with some condition, if we have add type<\/i> in car table, then execute the following command:<\/p>\n\n\n\n

curl - XPOST \"http:\/\/localhost:9200\/first_index\/car\/_delete_by_query?pretty\" -d ' { \"query\" : { \"match\":{ \"type\":\"2 wheeler\" } } }'<\/code><\/p><\/blockquote>\n\n\n\n

The result will be:<\/p>\n\n\n\n

{\"took\" : 330, \"timed_out\" : false, \"total\" : 2, \"deleted\" : 2, \"batches\" : 1, \"version_conflicts\" : 0, \"noops\" : 0, \"retries\" : { \"bulk\" : 0, \"search\" : 0 }, \"throttled_millis\" : 0,
\n\"requests_per_second\" : -1.0, \"throttled_until_millis\" : 0, \"failures\" : [ ] }<\/code><\/p><\/blockquote>\n\n\n\n

This type we can play with Elasticsearch engine with different types of queries and get the results.<\/p>\n\n\n\n

Click here for more blogs…<\/a><\/h3>\n\n\n\n
\n\n\n\n

At BoTree Technologies<\/a>, we build enterprise applications with our Django team of 20+ engineers.<\/p>\n\n\n\n

We also specialize in RPA, AI, Python, Ruby on Rails, JavaScript and ReactJS.<\/p>\n\n\n\n

Consulting is free<\/a> – let us help you grow!<\/h3>\n","protected":false},"excerpt":{"rendered":"

In previous articles (Here you can read: part-1 and part-2)…<\/p>\n","protected":false},"author":28,"featured_media":13036,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[68,10],"tags":[],"class_list":["post-3580","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-django","category-technology"],"yoast_head":"\nElasticsearch Integration with Django: Execution of queries with Elasticsearch engine<\/title>\n<meta name=\"description\" content=\"Part 3 of Elasticsearch integration with Django talks about the execution of CRUD queries on Elasticsearch engine via terminal. 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