I'm a beginner with shell scripting and i have some issues while a jenkins job parametrized. I want to write all parameters of jenkins job pipeline build with parameters into a JSON file using ${params}!
In my case i have 4 parameters(apis:multi-select,name:string,version:single-select and status:Boolean), there is the script Jenkinsfile
pipeline {
agent any
stages {
stage('Build') {
steps {
script{
sh "./test.sh ${params}"
}
}
}
}
}
Content of test.sh
#!/bin/bash
echo $# > file.json
The output in jenkins
+ ./test.sh [apis:dev,qa,prod, name:CC, version:g3, status:true]
Result in file.json
SyntaxError: JSON.parse: unexpected character at line 1 column 2 of the JSON data
My question is how format the output to obtain a clean result in file.json ? please i need help.
Add this to the top of your script:
import groovy.json.JsonOutput
Then use this line instead of sh "./test.sh ${params}":
writeFile file: 'params.json', text: JsonOutput.toJson(params)
This uses a Groovy library and a native Jenkins method for writing files, which means you don't need to use the sh method.
Related
While there are several posts about this topic on Stack Overflow, none match my exact use case. I am using a Linux shell script to run SnowSQL to generate a json file.
========================
My json file needs to have a comma between json objects.
This:
{
"CAMPAIGN": "Welcome_New",
"UUID": "fe881781-bdc2-41b2-95f2-e0e8c19dc597"
}
{
"CAMPAIGN": "Welcome_Existing",
"UUID": "77a41c02-beb9-48bf-ada4-b2074c1a78cb"
}
...needs to look this:
{
"CAMPAIGN": "Welcome_New",
"UUID": "fe881781-bdc2-41b2-95f2-e0e8c19dc597"
},
{
"CAMPAIGN": "Welcome_Existing",
"UUID": "77a41c02-beb9-48bf-ada4-b2074c1a78cb"
}
Here is my complete ksh script:
#!/usr/bin/ksh
. /appl/.snf_logon
export SNOW_PKEY_FILE=$(mktemp ./pkey-XXXXXX)
trap "rm -f ${SNOW_PKEY_FILE}" EXIT
LibGetSnowCred
{
outFile=JSON_FILE_TYPE_TEST.json
inDir=/testing
outFileNm=#my_db.my_schema.my_file_stage/${outFile}
snowsql \
--private-key-path $SNOW_PKEY_FILE \
-o exit_on_error=true \
-o friendly=false \
-o timing=false \
-o log_level=ERROR \
-o echo=true <<!
COPY INTO ${outFileNm}
FROM (SELECT object_construct(
'UUID',UUID
,'CAMPAIGN',CAMPAIGN)
FROM my_db.my_schema.JSON_Test_Table
LIMIT 2)
FILE_FORMAT=(
TYPE=JSON
COMPRESSION=NONE
)
OVERWRITE=True
HEADER=False
SINGLE=True
MAX_FILE_SIZE=4900000000
;
get ${outFileNm} file://${inDir}/;
rm ${outFileNm};
!
if [ $? -eq 0 ]; then
echo "Export successful"
else
echo "ERROR in export"
fi
}
Is the best practice to add the comma during the SELECT or after the file is generated and how?
With or without that comma, the text is still not JSON but just a random text that looks like JSON. You export several rows, each row as an independent object. You need to gather all these objects into an array to produce a valid JSON.
A JSON that encodes an array of rows looks like this:
[
{
"CAMPAIGN": "Welcome_New",
"UUID": "fe881781-bdc2-41b2-95f2-e0e8c19dc597"
},
{
"CAMPAIGN": "Welcome_Existing",
"UUID": "77a41c02-beb9-48bf-ada4-b2074c1a78cb"
}
]
The easiest way to produce this output would be to ask the database, if it supports this option (to wrap all the records into a list before generating the JSON, to not export each record in a separate JSON).
If this is not possible then you have a file that contains multiple JSONs. You can use jq to convert these individual JSONs into a JSON similar to the one described above (encoding an array of objects).
It is as simple as that:
jq --slurp '.' input_file > output_file
The option --slurp tells jq to read all the JSONs from the file input_file in memory, to parse them and to put them into an array. That is the program input.
'.' is the jq program. It says "dump the current object". It does not do any processing to the input data. The current object is the array.
After it executes the program (which, in this case doesn't do anything), jq dumps the modified value (as JSON, of course) to the standard output (by default, on screen).
The > output_file part redirects this output to a file (named output_file) instead of showing it on screen.
You can see how it works on the jq playground.
I'm currently tailing some logs in bash that are half JSON, half text like below:
{"response":{"message":"asdfasdf"}}
{"log":{"example":"asdfasdf"}}
here is some text
{"another":{"example":"asdfasdf"}}
more text
Each line is either a full valid JSON object or some text that would fail a JSON parser.
I've looked at jq and underscore-cli to see if they have options to return the invalid object in the case of failure, but I'm not seeing any.
I've also tried to use a || operator to cat the piped input, but I'm losing the value somehow. Maybe I should read up on pipes more? Example: getLogs -t | (underscore print || cat)
I think I could write a script that stores the input. Format it, and return the output if successful. If it fails returned the stored value. I feel like there should be a simpler way though. Any thoughts?
You can use this node library
install with
$ npm install -g js-beautify
Here is what I did:
$ js-beautify -r test.js
beautified test.js
I tested it with an incomplete json file and it worked
jq can check for invalid json
#!/bin/bash
while read p; do
if jq -e . >/dev/null 2>&1 <<<"$p"; then
echo $p | jq
else
echo 'Skipping invalid json'
fi
done < /tmp/tst.txt
{
"response": {
"message": "asdfasdf"
}
}
{
"log": {
"example": "asdfasdf"
}
}
Skipping invalid json
{
"another": {
"example": "asdfasdf"
}
}
Skipping invalid json
[
{
"name":"sandboxserver.tar.gz.part-aa",
"hash":"010d126f8ccf199f3cd5f468a90d5ae1",
"bytes":4294967296,
"last_modified":"2018-10-10T01:32:00.069000",
"content_type":"binary/octet-stream"
},
{
"name":"sandboxserver.tar.gz.part-ab",
"hash":"49a6f22068228f51488559c096aa06ce",
"bytes":397973601,
"last_modified":"2018-10-10T01:32:22.395000",
"content_type":"binary/octet-stream"
},
{
"name":"sandboxserver.tar.gz.part-ac",
"hash":"2c5e845f46357e203214592332774f4c",
"bytes":5179281858,
"last_modified":"2018-10-11T08:20:11.566000",
"content_type":"binary/octet-stream"
}
]
I am getting above JSON as response while listing the objects in cloud object storage using curl -l -X GET. How can I get the object "name" assigned to an array while looping through all the objects.
for example
array[1]="sandboxserver.tar.gz.part- aa"
array[2]="sandboxserver.tar.gz.part- ab"
array[3]="sandboxserver.tar.gz.part- ac"
You can use jq.
jq is a powerful tool that lets you read, filter, and write JSON in bash.
You might need to install it first.
Try this:
I've pasted your json into a file:
~$ cat n1.json
[
{
"name":"sandboxserver.tar.gz.part-aa",
"hash":"010d126f8ccf199f3cd5f468a90d5ae1",
"bytes":4294967296,
"last_modified":"2018-10-10T01:32:00.069000",
"content_type":"binary/octet-stream"
},
{
"name":"sandboxserver.tar.gz.part-ab",
"hash":"49a6f22068228f51488559c096aa06ce",
"bytes":397973601,
"last_modified":"2018-10-10T01:32:22.395000",
"content_type":"binary/octet-stream"
},
{
"name":"sandboxserver.tar.gz.part-ac",
"hash":"2c5e845f46357e203214592332774f4c",
"bytes":5179281858,
"last_modified":"2018-10-11T08:20:11.566000",
"content_type":"binary/octet-stream"
}
]
And then used jq to find the names:
~$ jq -r '.[].name' n1.json
sandboxserver.tar.gz.part-aa
sandboxserver.tar.gz.part-ab
sandboxserver.tar.gz.part-ac
If you don't want to depend on external utility like jq, use can use python + bash combo do the trick.
response="$(cat data.json)"
declare -a array
array=($(python -c "import json,sys; data=[arr['name'] for arr in json.loads(sys.argv[1])]; print('\n'.join(data));" "$response"))
echo "${array[#]}"
Advice: Writing embedded python code may soon become unreadable so you may want to put the python code in a separate script and run the script.
I am trying to access the field "my-tag" from the following json using jq from a shell script:
json file:
{
"tag": {
"value": "hello"
},
"my-tag": {
"value": "hello-my-tag"
}
}
Shell script:
#!/bin/bash
main()
{
search="my-tag"
file="myjson.json"
value=($(jq ".$search.value" "$file"))
echo $value
}
main "$#"
On executing this script, I get the following error:
error: tag is not defined
.-tag.value
^^^
1 compile error
How can I extract the field correctly in the shell script?
As a general rule of thumb, I would strongly suggest not placing shell variables within your filters, and use arguments to pass them in.
jq --arg search "$search" '.[$search].value' "$file"
Your filter string is an equivalent to a script. You wouldn't want to modify your script every time you wanted to change a value, you would parameterize it.
You'll have to use the associative array notation for arbitrary key strings
jq ".[\"$search\"].value" "$file
Is there any way to import a JSON file (contains 100 documents) in elasticsearch server? I want to import a big json file into es-server..
As dadoonet already mentioned, the bulk API is probably the way to go. To transform your file for the bulk protocol, you can use jq.
Assuming the file contains just the documents itself:
$ echo '{"foo":"bar"}{"baz":"qux"}' |
jq -c '
{ index: { _index: "myindex", _type: "mytype" } },
. '
{"index":{"_index":"myindex","_type":"mytype"}}
{"foo":"bar"}
{"index":{"_index":"myindex","_type":"mytype"}}
{"baz":"qux"}
And if the file contains the documents in a top level list they have to be unwrapped first:
$ echo '[{"foo":"bar"},{"baz":"qux"}]' |
jq -c '
.[] |
{ index: { _index: "myindex", _type: "mytype" } },
. '
{"index":{"_index":"myindex","_type":"mytype"}}
{"foo":"bar"}
{"index":{"_index":"myindex","_type":"mytype"}}
{"baz":"qux"}
jq's -c flag makes sure that each document is on a line by itself.
If you want to pipe straight to curl, you'll want to use --data-binary #-, and not just -d, otherwise curl will strip the newlines again.
You should use Bulk API. Note that you will need to add a header line before each json document.
$ cat requests
{ "index" : { "_index" : "test", "_type" : "type1", "_id" : "1" } }
{ "field1" : "value1" }
$ curl -s -XPOST localhost:9200/_bulk --data-binary #requests; echo
{"took":7,"items":[{"create":{"_index":"test","_type":"type1","_id":"1","_version":1,"ok":true}}]}
I'm sure someone wants this so I'll make it easy to find.
FYI - This is using Node.js (essentially as a batch script) on the same server as the brand new ES instance. Ran it on 2 files with 4000 items each and it only took about 12 seconds on my shared virtual server. YMMV
var elasticsearch = require('elasticsearch'),
fs = require('fs'),
pubs = JSON.parse(fs.readFileSync(__dirname + '/pubs.json')), // name of my first file to parse
forms = JSON.parse(fs.readFileSync(__dirname + '/forms.json')); // and the second set
var client = new elasticsearch.Client({ // default is fine for me, change as you see fit
host: 'localhost:9200',
log: 'trace'
});
for (var i = 0; i < pubs.length; i++ ) {
client.create({
index: "epubs", // name your index
type: "pub", // describe the data thats getting created
id: i, // increment ID every iteration - I already sorted mine but not a requirement
body: pubs[i] // *** THIS ASSUMES YOUR DATA FILE IS FORMATTED LIKE SO: [{prop: val, prop2: val2}, {prop:...}, {prop:...}] - I converted mine from a CSV so pubs[i] is the current object {prop:..., prop2:...}
}, function(error, response) {
if (error) {
console.error(error);
return;
}
else {
console.log(response); // I don't recommend this but I like having my console flooded with stuff. It looks cool. Like I'm compiling a kernel really fast.
}
});
}
for (var a = 0; a < forms.length; a++ ) { // Same stuff here, just slight changes in type and variables
client.create({
index: "epubs",
type: "form",
id: a,
body: forms[a]
}, function(error, response) {
if (error) {
console.error(error);
return;
}
else {
console.log(response);
}
});
}
Hope I can help more than just myself with this. Not rocket science but may save someone 10 minutes.
Cheers
jq is a lightweight and flexible command-line JSON processor.
Usage:
cat file.json | jq -c '.[] | {"index": {"_index": "bookmarks", "_type": "bookmark", "_id": .id}}, .' | curl -XPOST localhost:9200/_bulk --data-binary #-
We’re taking the file file.json and piping its contents to jq first with the -c flag to construct compact output. Here’s the nugget: We’re taking advantage of the fact that jq can construct not only one but multiple objects per line of input. For each line, we’re creating the control JSON Elasticsearch needs (with the ID from our original object) and creating a second line that is just our original JSON object (.).
At this point we have our JSON formatted the way Elasticsearch’s bulk API expects it, so we just pipe it to curl which POSTs it to Elasticsearch!
Credit goes to Kevin Marsh
Import no, but you can index the documents by using the ES API.
You can use the index api to load each line (using some kind of code to read the file and make the curl calls) or the index bulk api to load them all. Assuming your data file can be formatted to work with it.
Read more here : ES API
A simple shell script would do the trick if you comfortable with shell something like this maybe (not tested):
while read line
do
curl -XPOST 'http://localhost:9200/<indexname>/<typeofdoc>/' -d "$line"
done <myfile.json
Peronally, I would probably use Python either pyes or the elastic-search client.
pyes on github
elastic search python client
Stream2es is also very useful for quickly loading data into es and may have a way to simply stream a file in. (I have not tested a file but have used it to load wikipedia doc for es perf testing)
Stream2es is the easiest way IMO.
e.g. assuming a file "some.json" containing a list of JSON documents, one per line:
curl -O download.elasticsearch.org/stream2es/stream2es; chmod +x stream2es
cat some.json | ./stream2es stdin --target "http://localhost:9200/my_index/my_type
You can use esbulk, a fast and simple bulk indexer:
$ esbulk -index myindex file.ldj
Here's an asciicast showing it loading Project Gutenberg data into Elasticsearch in about 11s.
Disclaimer: I'm the author.
you can use Elasticsearch Gatherer Plugin
The gatherer plugin for Elasticsearch is a framework for scalable data fetching and indexing. Content adapters are implemented in gatherer zip archives which are a special kind of plugins distributable over Elasticsearch nodes. They can receive job requests and execute them in local queues. Job states are maintained in a special index.
This plugin is under development.
Milestone 1 - deploy gatherer zips to nodes
Milestone 2 - job specification and execution
Milestone 3 - porting JDBC river to JDBC gatherer
Milestone 4 - gatherer job distribution by load/queue length/node name, cron jobs
Milestone 5 - more gatherers, more content adapters
reference https://github.com/jprante/elasticsearch-gatherer
One way is to create a bash script that does a bulk insert:
curl -XPOST http://127.0.0.1:9200/myindexname/type/_bulk?pretty=true --data-binary #myjsonfile.json
After you run the insert, run this command to get the count:
curl http://127.0.0.1:9200/myindexname/type/_count