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
}
'

I think that host may be parametrized, it will be very applicable.

Assuming that you don't already have the us and gb indices, a bulk update would look like this.

POST /_bulk
{ "create": { "_index": "us", "_type": "user", "_id": "1" }}
{ "email" : "john@smith.com", "name" : "John Smith", "username" : "@john" }
{ "create": { "_index": "gb", "_type": "user", "_id": "2" }}
{ "email" : "mary@jones.com", "name" : "Mary Jones", "username" : "@mary" }
{ "create": { "_index": "gb", "_type": "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", "_type": "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", "_type": "tweet", "_id": "5" }}
{ "date" : "2014-09-15", "name" : "Mary Jones", "tweet" : "However did I manage before Elasticsearch?", "user_id" : 2 }
{ "create": { "_index": "us", "_type": "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", "_type": "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", "_type": "tweet", "_id": "8" }}
{ "date" : "2014-09-18", "name" : "John Smith", "user_id" : 1 }
{ "create": { "_index": "gb", "_type": "tweet", "_id": "9" }}
{ "date" : "2014-09-19", "name" : "Mary Jones", "tweet" : "Geo-location aggregations are really cool", "user_id" : 2 }
{ "create": { "_index": "us", "_type": "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", "_type": "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", "_type": "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", "_type": "tweet", "_id": "13" }}
{ "date" : "2014-09-23", "name" : "Mary Jones", "tweet" : "So yes, I am an Elasticsearch fanboy", "user_id" : 2 }
{ "create": { "_index": "us", "_type": "tweet", "_id": "14" }}
{ "date" : "2014-09-24", "name" : "John Smith", "tweet" : "How many more cheesy tweets do I have to write?", "user_id" : 1 }

A bulk update with the data above and curl would look like this:

$ curl -XPOST 'http://localhost:9200/_bulk?pretty' --data-binary @./path/to/your/bulkdata.json

Note that curl's -d option is synonymous of --data-ascii, which would cause some errors with bulk data files. Instead, for bulk update use --data-binary as shown. Also don't forget to add a new line at the end of the bulk data file.

@alanktwong That's the awesome version.

Alternatively, if you’re in the online version of this book, you can click here to open in Sense.
The link in the document is dead!

Link in the last comment above is dead too

Yes, @santanu-dey: that was exactly @cwhsu1984's point. Lol

this worked for me:

curl -XPOST 'http://localhost:9200/_bulk?pretty' -d '
{ "create": { "_index": "us", "_type": "user", "_id": "1" }}
{ "email" : "john@smith.com", "name" : "John Smith", "username" : "@john" }
{ "create": { "_index": "gb", "_type": "user", "_id": "2" }}
{ "email" : "mary@jones.com", "name" : "Mary Jones", "username" : "@mary" }
{ "create": { "_index": "gb", "_type": "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", "_type": "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", "_type": "tweet", "_id": "5" }}
{ "date" : "2014-09-15", "name" : "Mary Jones", "tweet" : "However did I manage before Elasticsearch?", "user_id" : 2 }
{ "create": { "_index": "us", "_type": "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", "_type": "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", "_type": "tweet", "_id": "8" }}
{ "date" : "2014-09-18", "name" : "John Smith", "user_id" : 1 }
{ "create": { "_index": "gb", "_type": "tweet", "_id": "9" }}
{ "date" : "2014-09-19", "name" : "Mary Jones", "tweet" : "Geo-location aggregations are really cool", "user_id" : 2 }
{ "create": { "_index": "us", "_type": "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", "_type": "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", "_type": "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", "_type": "tweet", "_id": "13" }}
{ "date" : "2014-09-23", "name" : "Mary Jones", "tweet" : "So yes, I am an Elasticsearch fanboy", "user_id" : 2 }
{ "create": { "_index": "us", "_type": "tweet", "_id": "14" }}
{ "date" : "2014-09-24", "name" : "John Smith", "tweet" : "How many more cheesy tweets do I have to write?", "user_id" : 1 }'

@clintongormley
As far as I can see the provided load_test_data.sh is valid for ES up to 5.x.
In 6.x the content type is required (introduced with #23146).
Please consider updating the script by adding -H'Content-type:application/json' to make it usable with the ES 6.0.

@ZacharyRSmith nice

goood

good job !

I got that:
{
"message": "Client request error: socket hang up",
"statusCode": 502,
"error": "Bad Gateway"
}

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.