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Elastic Input

Before you start...

Before using...

The show node prints useful information on whatever data it receives. In particular if it receives datasets, it will print out a quick view of datasets columns and the associated schema. You can control the output format, regular spark-like dataset dumps, i.e.:

| id|clicked|
|  4|    1.6|
|  8|    3.9|

|-- id: integer (nullable = false)
|-- clicked: double (nullable = false)

Pyspark ->

Spark ->



Our "hello world" punchline configuration.


  type: punchline
  version: "6.0"
  runtime: spark
  tenant: default
  dag: [
        type: show
        component: show
        settings: {
            // optional title
            title: INPUT

            // Optional you can select some specific columns 
            // of your input dataset
            // select: [ "features", "label" ]

            // Optional. Default if false
            json_format: false

            // Optional, default is true. Only relevant for json
            // output format. 
            pretty: true

            // Optional, set to false to not truncate long row values
            truncate: true

            // Optional set to true, prints out rows vertically
            vertical: false

            // Optional, default is 10
            num_rows: 10

            // Optional, also show the schema
            show_schema: true
        subscribe: [
                component: input
                stream: data

let's excute it with the command below:

punchlinectl start -p $CONF

Comming soon

Comming soon


Common Settings

Name Type mandatory Default value Description
json_format Boolean false false Output dataset as json
pretty Boolean false false use this when json_format is set to true
truncate Boolean false false truncate column size if values are too big
vertical Boolean false false Output dataset in vertical
num_rows Integer false 3 limit the number of rows to display
show_schema Boolean false true prints to stdout the dataset schema

Advanced Settings

No advanced settings