Bulk index text field containing new lines with cURL - elasticsearch

Question

I am trying to bulk index a file with the following format to my elasticsearch index:
{"index":{"_index":"articles","_type":"_doc"}}
{"title":"My Article Title","text":"My article text. \nNext paragraph here."}
Using this command:
curl -s -XPOST -H 'Content-Type: application/x-ndjson' http://localhost:9200/_bulk --data-binary #/data.json
The problem is that the article text in my documents may contain new line characters \n, which breaks the formatting for a cURL bulk index, so I get this error:
{"error":{"root_cause":[{"type":"parse_exception","reason":"request body is required"}],"type":"parse_exception","reason":"request body is required"},"status":400}
I have been able to bulk index these documents using the javascript API, so I'm hoping it will be possible to do using cURL, as I want to index these documents into my docker image as a part of the build.

Answer 1

I've managed to do it on Elasticsearch 7.3 and Red Hat Enterprise Linux 7 (7.7).
1) Changed .json to .txt and just hit enter after the last line, saved and uploaded on server
[root#host tmp]$ mv data.json data.txt
2) Forced curl to append new line to output
[root#host tmp]$ echo '-w "\n"' >> ~/.curlrc
3) Curled to ES:
[root#host tmp]$ curl -s -XPOST -H 'Content-Type: application/x-ndjson' https://localhost:9200/_bulk -k -u user:pass --data-binary #data.json
{"took":4,"errors":false,"items":[{"index":{"_index":"articles","_type":"_doc","_id":"QdsosG0B3nqkAGly3E6t","_version":1,"result":"created","_shards":{"total":2,"successful":2,"failed":0},"_seq_no":1,"_primary_term":1,"status":201}}]}
4) Result:
[root#host tmp]$ curl -XGET -H 'Content-Type: application/x-ndjson' https://localhost:9200/articles/_search?pretty -k -u user:pass
{
"took" : 1,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "articles",
"_type" : "_doc",
"_id" : "QdsosG0B3nqkAGly3E6t",
"_score" : 1.0,
"_source" : {
"title" : "My Article Title",
"text" : "My article text. \nNext paragraph here."
}
}
]
}
}