Run these commands in your shell to setup the test data for Chapter 5

load_test_data.sh

curl -XPUT 'http://localhost:9200/us/user/1?pretty=1' -d '
{
   "email" : "john@smith.com",
   "name" : "John Smith",
   "username" : "@john"
}
'

curl -XPUT 'http://localhost:9200/gb/user/2?pretty=1' -d '
{
   "email" : "mary@jones.com",
   "name" : "Mary Jones",
   "username" : "@mary"
}
'

curl -XPUT 'http://localhost:9200/gb/tweet/3?pretty=1' -d '
{
   "date" : "2014-09-13",
   "name" : "Mary Jones",
   "tweet" : "Elasticsearch means full text search has never been so easy",
   "user_id" : 2
}
'

curl -XPUT 'http://localhost:9200/us/tweet/4?pretty=1' -d '
{
   "date" : "2014-09-14",
   "name" : "John Smith",
   "tweet" : "@mary it is not just text, it does everything",
   "user_id" : 1
}
'

curl -XPUT 'http://localhost:9200/gb/tweet/5?pretty=1' -d '
{
   "date" : "2014-09-15",
   "name" : "Mary Jones",
   "tweet" : "However did I manage before Elasticsearch?",
   "user_id" : 2
}
'

curl -XPUT 'http://localhost:9200/us/tweet/6?pretty=1' -d '
{
   "date" : "2014-09-16",
   "name" : "John Smith",
   "tweet" : "The Elasticsearch API is really easy to use",
   "user_id" : 1
}
'

curl -XPUT 'http://localhost:9200/gb/tweet/7?pretty=1' -d '
{
   "date" : "2014-09-17",
   "name" : "Mary Jones",
   "tweet" : "The Query DSL is really powerful and flexible",
   "user_id" : 2
}
'

curl -XPUT 'http://localhost:9200/us/tweet/8?pretty=1' -d '
{
   "date" : "2014-09-18",
   "name" : "John Smith",
   "user_id" : 1
}
'

curl -XPUT 'http://localhost:9200/gb/tweet/9?pretty=1' -d '
{
   "date" : "2014-09-19",
   "name" : "Mary Jones",
   "tweet" : "Geo-location aggregations are really cool",
   "user_id" : 2
}
'

curl -XPUT 'http://localhost:9200/us/tweet/10?pretty=1' -d '
{
   "date" : "2014-09-20",
   "name" : "John Smith",
   "tweet" : "Elasticsearch surely is one of the hottest new NoSQL products",
   "user_id" : 1
}
'

curl -XPUT 'http://localhost:9200/gb/tweet/11?pretty=1' -d '
{
   "date" : "2014-09-21",
   "name" : "Mary Jones",
   "tweet" : "Elasticsearch is built for the cloud, easy to scale",
   "user_id" : 2
}
'

curl -XPUT 'http://localhost:9200/us/tweet/12?pretty=1' -d '
{
   "date" : "2014-09-22",
   "name" : "John Smith",
   "tweet" : "Elasticsearch and I have left the honeymoon stage, and I still love her.",
   "user_id" : 1
}
'

curl -XPUT 'http://localhost:9200/gb/tweet/13?pretty=1' -d '
{
   "date" : "2014-09-23",
   "name" : "Mary Jones",
   "tweet" : "So yes, I am an Elasticsearch fanboy",
   "user_id" : 2
}
'

curl -XPUT 'http://localhost:9200/us/tweet/14?pretty=1' -d '
{
   "date" : "2014-09-24",
   "name" : "John Smith",
   "tweet" : "How many more cheesy tweets do I have to write?",
   "user_id" : 1
}
'

mapping type has been removed in Es 6.x . See:https://www.elastic.co/guide/en/elasticsearch/reference/6.0/removal-of-types.html

for ES6.x, I use the follow

POST /_bulk
{ "create": { "_index": "user", "_type": "doc", "_id": "1" }}
{ "email" : "john@smith.com", "name" : "John Smith", "username" : "@john" }
{ "create": { "_index": "user", "_type": "doc", "_id": "2" }}
{ "email" : "mary@jones.com", "name" : "Mary Jones", "username" : "@mary" }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "3" }}
{ "date" : "2014-09-13", "name" : "Mary Jones", "tweet" : "Elasticsearch means full text search has never been so easy", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "4" }}
{ "date" : "2014-09-14", "name" : "John Smith", "tweet" : "@mary it is not just text, it does everything", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "5" }}
{ "date" : "2014-09-15", "name" : "Mary Jones", "tweet" : "However did I manage before Elasticsearch?", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "6" }}
{ "date" : "2014-09-16", "name" : "John Smith",  "tweet" : "The Elasticsearch API is really easy to use", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "7" }}
{ "date" : "2014-09-17", "name" : "Mary Jones", "tweet" : "The Query DSL is really powerful and flexible", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "8" }}
{ "date" : "2014-09-18", "name" : "John Smith", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "9" }}
{ "date" : "2014-09-19", "name" : "Mary Jones", "tweet" : "Geo-location aggregations are really cool", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "10" }}
{ "date" : "2014-09-20", "name" : "John Smith", "tweet" : "Elasticsearch surely is one of the hottest new NoSQL products", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "11" }}
{ "date" : "2014-09-21", "name" : "Mary Jones", "tweet" : "Elasticsearch is built for the cloud, easy to scale", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "12" }}
{ "date" : "2014-09-22", "name" : "John Smith", "tweet" : "Elasticsearch and I have left the honeymoon stage, and I still love her.", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "13" }}
{ "date" : "2014-09-23", "name" : "Mary Jones", "tweet" : "So yes, I am an Elasticsearch fanboy", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "14" }}
{ "date" : "2014-09-24", "name" : "John Smith", "tweet" : "How many more cheesy tweets do I have to write?", "user_id" : 1 }

Since change in change in elasticsearch request for strict content-type checking , make sure to add header -H 'Content-Type: application/json' in your curl request. or you will get following error

{
  "error" : "Content-Type header [application/x-www-form-urlencoded] is not supported",
  "status" : 406
}

do add header -H 'Content-Type: application/json', then how to do with quote>

Elastic 6.x allows only one Type in Index, and version 7.x will completely remove Type.

Rejecting mapping update to [gb] as the final mapping would have more than 1 type: [tweet, user]

add header -H 'Content-Type:application/x-ndjson'. Content-Type is application/x-ndjson not application/json.

When sending requests to this endpoint the Content-Type header should be set to application/x-ndjson.
If you’re providing text file input to curl, you must use the --data-binary flag instead of plain -d. The latter doesn’t preserve newlines. Example:

$ cat requests
{ "index" : { "_index" : "test", "_type" : "_doc", "_id" : "1" } }
{ "field1" : "value1" }
$ curl -s -H "Content-Type: application/x-ndjson" -XPOST localhost:9200/_bulk --data-binary "@requests";

reference:Bulk Api

in es6.x, this is useful

curl -H 'Content-Type: application/json' -XPOST 'http://localhost:9200/_bulk?pretty' -d '

{ "create": { "_index": "user", "_type": "doc", "_id": "1" }}
{ "email" : "john@smith.com", "name" : "John Smith", "username" : "@john" }
{ "create": { "_index": "user", "_type": "doc", "_id": "2" }}
{ "email" : "mary@jones.com", "name" : "Mary Jones", "username" : "@mary" }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "3" }}
{ "date" : "2014-09-13", "name" : "Mary Jones", "tweet" : "Elasticsearch means full text search has never been so easy", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "4" }}
{ "date" : "2014-09-14", "name" : "John Smith", "tweet" : "@mary it is not just text, it does everything", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "5" }}
{ "date" : "2014-09-15", "name" : "Mary Jones", "tweet" : "However did I manage before Elasticsearch?", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "6" }}
{ "date" : "2014-09-16", "name" : "John Smith",  "tweet" : "The Elasticsearch API is really easy to use", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "7" }}
{ "date" : "2014-09-17", "name" : "Mary Jones", "tweet" : "The Query DSL is really powerful and flexible", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "8" }}
{ "date" : "2014-09-18", "name" : "John Smith", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "9" }}
{ "date" : "2014-09-19", "name" : "Mary Jones", "tweet" : "Geo-location aggregations are really cool", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "10" }}
{ "date" : "2014-09-20", "name" : "John Smith", "tweet" : "Elasticsearch surely is one of the hottest new NoSQL products", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "11" }}
{ "date" : "2014-09-21", "name" : "Mary Jones", "tweet" : "Elasticsearch is built for the cloud, easy to scale", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "12" }}
{ "date" : "2014-09-22", "name" : "John Smith", "tweet" : "Elasticsearch and I have left the honeymoon stage, and I still love her.", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "13" }}
{ "date" : "2014-09-23", "name" : "Mary Jones", "tweet" : "So yes, I am an Elasticsearch fanboy", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "14" }}
{ "date" : "2014-09-24", "name" : "John Smith", "tweet" : "How many more cheesy tweets do I have to write?", "user_id" : 1 }

'

@zhengfeng-zhu
good job！it's working now

In Elasticsearch 7.x the type was deprecated, so this bulk will be like this?

POST /_bulk
{"create":{"_index":"us","_id":"1"}}
{"email":"john@smith.com","name":"John Smith","username":"@john"}
{"create":{"_index":"gb","_id":"2"}}
{"email":"mary@jones.com","name":"Mary Jones","username":"@mary"}
{"create":{"_index":"gb","_id":"3"}}
{"date":"2014-09-13","name":"Mary Jones","tweet":"Elasticsearch means full text search has never been so easy","user_id":2}
{"create":{"_index":"us","_id":"4"}}
{"date":"2014-09-14","name":"John Smith","tweet":"@mary it is not just text, it does everything","user_id":1}
{"create":{"_index":"gb","_id":"5"}}
{"date":"2014-09-15","name":"Mary Jones","tweet":"However did I manage before Elasticsearch?","user_id":2}
{"create":{"_index":"us","_id":"6"}}
{"date":"2014-09-16","name":"John Smith","tweet":"The Elasticsearch API is really easy to use","user_id":1}
{"create":{"_index":"gb","_id":"7"}}
{"date":"2014-09-17","name":"Mary Jones","tweet":"The Query DSL is really powerful and flexible","user_id":2}
{"create":{"_index":"us","_id":"8"}}
{"date":"2014-09-18","name":"John Smith","user_id":1}
{"create":{"_index":"gb","_id":"9"}}
{"date":"2014-09-19","name":"Mary Jones","tweet":"Geo-location aggregations are really cool","user_id":2}
{"create":{"_index":"us","_id":"10"}}
{"date":"2014-09-20","name":"John Smith","tweet":"Elasticsearch surely is one of the hottest new NoSQL products","user_id":1}
{"create":{"_index":"gb","_id":"11"}}
{"date":"2014-09-21","name":"Mary Jones","tweet":"Elasticsearch is built for the cloud, easy to scale","user_id":2}
{"create":{"_index":"us","_id":"12"}}
{"date":"2014-09-22","name":"John Smith","tweet":"Elasticsearch and I have left the honeymoon stage, and I still love her.","user_id":1}
{"create":{"_index":"gb","_id":"13"}}
{"date":"2014-09-23","name":"Mary Jones","tweet":"So yes, I am an Elasticsearch fanboy","user_id":2}
{"create":{"_index":"us","_id":"14"}}
{"date":"2014-09-24","name":"John Smith","tweet":"How many more cheesy tweets do I have to write?","user_id":1}

@alvesgabriel, I think you are now mixing up tweet and user. Following the advince of elastic, by default you split up different types in different indexes, so gb-user, gb-tweet, us-user, us-tweet, which results in:

POST /_bulk
{"create":{"_index":"us-user","_id":"1"}}
{"email":"john@smith.com","name":"John Smith","username":"@john"}
{"create":{"_index":"gb-user","_id":"2"}}
{"email":"mary@jones.com","name":"Mary Jones","username":"@mary"}
{"create":{"_index":"gb-tweet","_id":"3"}}
{"date":"2014-09-13","name":"Mary Jones","tweet":"Elasticsearch means full text search has never been so easy","user_id":2}
{"create":{"_index":"us-tweet","_id":"4"}}
{"date":"2014-09-14","name":"John Smith","tweet":"@mary it is not just text, it does everything","user_id":1}
{"create":{"_index":"gb-tweet","_id":"5"}}
{"date":"2014-09-15","name":"Mary Jones","tweet":"However did I manage before Elasticsearch?","user_id":2}
{"create":{"_index":"us-tweet","_id":"6"}}
{"date":"2014-09-16","name":"John Smith","tweet":"The Elasticsearch API is really easy to use","user_id":1}
{"create":{"_index":"gb-tweet","_id":"7"}}
{"date":"2014-09-17","name":"Mary Jones","tweet":"The Query DSL is really powerful and flexible","user_id":2}
{"create":{"_index":"us-tweet","_id":"8"}}
{"date":"2014-09-18","name":"John Smith","user_id":1}
{"create":{"_index":"gb-tweet","_id":"9"}}
{"date":"2014-09-19","name":"Mary Jones","tweet":"Geo-location aggregations are really cool","user_id":2}
{"create":{"_index":"us-tweet","_id":"10"}}
{"date":"2014-09-20","name":"John Smith","tweet":"Elasticsearch surely is one of the hottest new NoSQL products","user_id":1}
{"create":{"_index":"gb-tweet","_id":"11"}}
{"date":"2014-09-21","name":"Mary Jones","tweet":"Elasticsearch is built for the cloud, easy to scale","user_id":2}
{"create":{"_index":"us-tweet","_id":"12"}}
{"date":"2014-09-22","name":"John Smith","tweet":"Elasticsearch and I have left the honeymoon stage, and I still love her.","user_id":1}
{"create":{"_index":"gb-tweet","_id":"13"}}
{"date":"2014-09-23","name":"Mary Jones","tweet":"So yes, I am an Elasticsearch fanboy","user_id":2}
{"create":{"_index":"us-tweet","_id":"14"}}
{"date":"2014-09-24","name":"John Smith","tweet":"How many more cheesy tweets do I have to write?","user_id":1}

Ok @maarten-kieft, I understood now.
Thank you for the answer and help.

@zhenfeng-zhu
nice

in es6.x, this is useful

curl -H 'Content-Type: application/json' -XPOST 'http://localhost:9200/_bulk?pretty' -d '

{ "create": { "_index": "user", "_type": "doc", "_id": "1" }}
{ "email" : "john@smith.com", "name" : "John Smith", "username" : "@john" }
{ "create": { "_index": "user", "_type": "doc", "_id": "2" }}
{ "email" : "mary@jones.com", "name" : "Mary Jones", "username" : "@mary" }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "3" }}
{ "date" : "2014-09-13", "name" : "Mary Jones", "tweet" : "Elasticsearch means full text search has never been so easy", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "4" }}
{ "date" : "2014-09-14", "name" : "John Smith", "tweet" : "@mary it is not just text, it does everything", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "5" }}
{ "date" : "2014-09-15", "name" : "Mary Jones", "tweet" : "However did I manage before Elasticsearch?", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "6" }}
{ "date" : "2014-09-16", "name" : "John Smith",  "tweet" : "The Elasticsearch API is really easy to use", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "7" }}
{ "date" : "2014-09-17", "name" : "Mary Jones", "tweet" : "The Query DSL is really powerful and flexible", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "8" }}
{ "date" : "2014-09-18", "name" : "John Smith", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "9" }}
{ "date" : "2014-09-19", "name" : "Mary Jones", "tweet" : "Geo-location aggregations are really cool", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "10" }}
{ "date" : "2014-09-20", "name" : "John Smith", "tweet" : "Elasticsearch surely is one of the hottest new NoSQL products", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "11" }}
{ "date" : "2014-09-21", "name" : "Mary Jones", "tweet" : "Elasticsearch is built for the cloud, easy to scale", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "12" }}
{ "date" : "2014-09-22", "name" : "John Smith", "tweet" : "Elasticsearch and I have left the honeymoon stage, and I still love her.", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "13" }}
{ "date" : "2014-09-23", "name" : "Mary Jones", "tweet" : "So yes, I am an Elasticsearch fanboy", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "14" }}
{ "date" : "2014-09-24", "name" : "John Smith", "tweet" : "How many more cheesy tweets do I have to write?", "user_id" : 1 }

'

This is very easy to use

Elastic 6.x allows only one Type in Index, and version 7.x will completely remove Type.

It's cool,i remove type can run it...Maybe i need read document again

@maarten-kieft Comment has the best example for 7.x, copy paste in Kibana console works fine.

es returns error

{"error":{"root_cause":[{"type":"illegal_argument_exception","reason":"Rejecting mapping update to [gb] as the final mapping would have more than 1 type: [user, tweet]"}],"type":"illegal_argument_exception","reason":"Rejecting mapping update to [gb] as the final mapping would have more than 1 type: [user, tweet]"},"status":400}

since 7.x ，one _index does not support multiple _type

these shells are @deprecated

@maarten-kieft, thanks !

@maarten-kieft thanks a lot for the example. Helped me a ton!

thanks

es returns error

{"error":{"root_cause":[{"type":"illegal_argument_exception","reason":"Rejecting mapping update to [gb] as the final mapping would have more than 1 type: [user, tweet]"}],"type":"illegal_argument_exception","reason":"Rejecting mapping update to [gb] as the final mapping would have more than 1 type: [user, tweet]"},"status":400}

since 7.x ，one _index does not support multiple _type

these shells are @deprecated

thanks~

curl -H 'Content-Type: application/json' -XPOST 'http://localhost:9200/_bulk?pretty' -d '

{ "create": { "_index": "user", "_type": "doc", "_id": "1" }}
{ "email" : "john@smith.com", "name" : "John Smith", "username" : "@john" }
{ "create": { "_index": "user", "_type": "doc", "_id": "2" }}
{ "email" : "mary@jones.com", "name" : "Mary Jones", "username" : "@Mary" }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "3" }}
{ "date" : "2014-09-13", "name" : "Mary Jones", "tweet" : "Elasticsearch means full text search has never been so easy", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "4" }}
{ "date" : "2014-09-14", "name" : "John Smith", "tweet" : "@Mary it is not just text, it does everything", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "5" }}
{ "date" : "2014-09-15", "name" : "Mary Jones", "tweet" : "However did I manage before Elasticsearch?", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "6" }}
{ "date" : "2014-09-16", "name" : "John Smith", "tweet" : "The Elasticsearch API is really easy to use", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "7" }}
{ "date" : "2014-09-17", "name" : "Mary Jones", "tweet" : "The Query DSL is really powerful and flexible", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "8" }}
{ "date" : "2014-09-18", "name" : "John Smith", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "9" }}
{ "date" : "2014-09-19", "name" : "Mary Jones", "tweet" : "Geo-location aggregations are really cool", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "10" }}
{ "date" : "2014-09-20", "name" : "John Smith", "tweet" : "Elasticsearch surely is one of the hottest new NoSQL products", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "11" }}
{ "date" : "2014-09-21", "name" : "Mary Jones", "tweet" : "Elasticsearch is built for the cloud, easy to scale", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "12" }}
{ "date" : "2014-09-22", "name" : "John Smith", "tweet" : "Elasticsearch and I have left the honeymoon stage, and I still love her.", "user_id" : 1 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "13" }}
{ "date" : "2014-09-23", "name" : "Mary Jones", "tweet" : "So yes, I am an Elasticsearch fanboy", "user_id" : 2 }
{ "create": { "_index": "tweet", "_type": "doc", "_id": "14" }}
{ "date" : "2014-09-24", "name" : "John Smith", "tweet" : "How many more cheesy tweets do I have to write?", "user_id" : 1 }

'

thank ~

that‘s cool

via Kibana http://localhost:5601/app/dev_tools#/console for version 8.4.0

POST /_bulk?pretty
{ "create": { "_index": "user", "_id": "1" }}
{ "email" : "john@smith.com", "name" : "John Smith", "username" : "@john" }
{ "create": { "_index": "user",  "_id": "2" }}
{ "email" : "mary@jones.com", "name" : "Mary Jones", "username" : "@Mary" }
{ "create": { "_index": "tweet", "_id": "3" }}
{ "date" : "2014-09-13", "name" : "Mary Jones", "tweet" : "Elasticsearch means full text search has never been so easy", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "4" }}
{ "date" : "2014-09-14", "name" : "John Smith", "tweet" : "@Mary it is not just text, it does everything", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "5" }}
{ "date" : "2014-09-15", "name" : "Mary Jones", "tweet" : "However did I manage before Elasticsearch?", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "6" }}
{ "date" : "2014-09-16", "name" : "John Smith", "tweet" : "The Elasticsearch API is really easy to use", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "7" }}
{ "date" : "2014-09-17", "name" : "Mary Jones", "tweet" : "The Query DSL is really powerful and flexible", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "8" }}
{ "date" : "2014-09-18", "name" : "John Smith", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "9" }}
{ "date" : "2014-09-19", "name" : "Mary Jones", "tweet" : "Geo-location aggregations are really cool", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "10" }}
{ "date" : "2014-09-20", "name" : "John Smith", "tweet" : "Elasticsearch surely is one of the hottest new NoSQL products", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "11" }}
{ "date" : "2014-09-21", "name" : "Mary Jones", "tweet" : "Elasticsearch is built for the cloud, easy to scale", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "12" }}
{ "date" : "2014-09-22", "name" : "John Smith", "tweet" : "Elasticsearch and I have left the honeymoon stage, and I still love her.", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "13" }}
{ "date" : "2014-09-23", "name" : "Mary Jones", "tweet" : "So yes, I am an Elasticsearch fanboy", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "14" }}
{ "date" : "2014-09-24", "name" : "John Smith", "tweet" : "How many more cheesy tweets do I have to write?", "user_id" : 1 }

You may use this
curl -H 'Content-Type: application/json' -XPOST 'http://localhost:9200/_bulk?pretty' -d '

{ "create": { "_index": "user", "_id": "1" }}
{ "email" : "john@smith.com", "name" : "John Smith", "username" : "@john" }
{ "create": { "_index": "user", "_id": "2" }}
{ "email" : "mary@jones.com", "name" : "Mary Jones", "username" : "@Mary" }
{ "create": { "_index": "tweet", "_id": "3" }}
{ "date" : "2014-09-13", "name" : "Mary Jones", "tweet" : "Elasticsearch means full text search has never been so easy", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "4" }}
{ "date" : "2014-09-14", "name" : "John Smith", "tweet" : "@Mary it is not just text, it does everything", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "5" }}
{ "date" : "2014-09-15", "name" : "Mary Jones", "tweet" : "However did I manage before Elasticsearch?", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "6" }}
{ "date" : "2014-09-16", "name" : "John Smith", "tweet" : "The Elasticsearch API is really easy to use", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "7" }}
{ "date" : "2014-09-17", "name" : "Mary Jones", "tweet" : "The Query DSL is really powerful and flexible", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "8" }}
{ "date" : "2014-09-18", "name" : "John Smith", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "9" }}
{ "date" : "2014-09-19", "name" : "Mary Jones", "tweet" : "Geo-location aggregations are really cool", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "10" }}
{ "date" : "2014-09-20", "name" : "John Smith", "tweet" : "Elasticsearch surely is one of the hottest new NoSQL products", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "11" }}
{ "date" : "2014-09-21", "name" : "Mary Jones", "tweet" : "Elasticsearch is built for the cloud, easy to scale", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "12" }}
{ "date" : "2014-09-22", "name" : "John Smith", "tweet" : "Elasticsearch and I have left the honeymoon stage, and I still love her.", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "13" }}
{ "date" : "2014-09-23", "name" : "Mary Jones", "tweet" : "So yes, I am an Elasticsearch fanboy", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "14" }}
{ "date" : "2014-09-24", "name" : "John Smith", "tweet" : "How many more cheesy tweets do I have to write?", "user_id" : 1 }
'

I`ve use it for ES 8.6.0

version 8.6.0

POST /_doc/_bulk
{ "create": { "_index": "user", "_id": "1" }}
{ "email" : "john@smith.com", "name" : "John Smith", "username" : "@john" }
{ "create": { "_index": "user", "_id": "2" }}
{ "email" : "mary@jones.com", "name" : "Mary Jones", "username" : "@mary" }
{ "create": { "_index": "tweet", "_id": "3" }}
{ "date" : "2014-09-13", "name" : "Mary Jones", "tweet" : "Elasticsearch means full text search has never been so easy", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "4" }}
{ "date" : "2014-09-14", "name" : "John Smith", "tweet" : "@mary it is not just text, it does everything", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "5" }}
{ "date" : "2014-09-15", "name" : "Mary Jones", "tweet" : "However did I manage before Elasticsearch?", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "6" }}
{ "date" : "2014-09-16", "name" : "John Smith",  "tweet" : "The Elasticsearch API is really easy to use", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "7" }}
{ "date" : "2014-09-17", "name" : "Mary Jones", "tweet" : "The Query DSL is really powerful and flexible", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "8" }}
{ "date" : "2014-09-18", "name" : "John Smith", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "9" }}
{ "date" : "2014-09-19", "name" : "Mary Jones", "tweet" : "Geo-location aggregations are really cool", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "10" }}
{ "date" : "2014-09-20", "name" : "John Smith", "tweet" : "Elasticsearch surely is one of the hottest new NoSQL products", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "11" }}
{ "date" : "2014-09-21", "name" : "Mary Jones", "tweet" : "Elasticsearch is built for the cloud, easy to scale", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "12" }}
{ "date" : "2014-09-22", "name" : "John Smith", "tweet" : "Elasticsearch and I have left the honeymoon stage, and I still love her.", "user_id" : 1 }
{ "create": { "_index": "tweet", "_id": "13" }}
{ "date" : "2014-09-23", "name" : "Mary Jones", "tweet" : "So yes, I am an Elasticsearch fanboy", "user_id" : 2 }
{ "create": { "_index": "tweet", "_id": "14" }}
{ "date" : "2014-09-24", "name" : "John Smith", "tweet" : "How many more cheesy tweets do I have to write?", "user_id" : 1 }