Tabula Documentation
Tabula HomeCommunity
  • 👋Introduction to Tabula
  • Getting Started
    • Product Updates
    • Getting Started
      • Installation and Login
      • Beginner's Guide
    • FAQ
  • Product overview
    • Home Page
    • Exploring Data
      • Data Catalog
      • Exploring Datasets
      • Statistics Panel
    • Designing Flows
      • Creating Flows
      • Flow Designer Guide
        • Working with Canvas
        • Using Groups
        • Working with Table
      • Managing Flows
      • Sharing Flows
      • Demo: Building a Simple Flow
    • Executing Flows
      • Running Flows
      • Jobs overview
    • Building Reports
      • Designing Reports
      • Running Reports
      • Reports Page
    • Connecting Data
  • Integrations
    • Enrichments
      • How to add your API key in Tabula
      • List of Supported Queries
      • Enrichment Providers
        • AnymailFinder
        • Apollo
          • How to find Apollo API key
          • Enrich person by LinkedIn
          • Enrich company by domain
        • Bounceban
        • Bouncer
        • Bouncify
        • CaptainVerify
        • Cleanify
        • Clearout
        • CompanyEnrich
        • ContactOut
          • How to find ContactOut API key
          • Enrich person by LinkedIn
          • Enrich person by email
        • Discolike
        • TheCompaniesAPI
        • Findymail
        • Emailable
        • EmailListVerify
        • Enrichley
        • Heybounce
        • Hunter
        • Kickbox
        • Mails
        • MailChecker
        • MillionVerifier
        • NeverBounce
        • Nubela (Proxycurl)
        • PeopleDataLabs
        • Prospeo
        • ZeroBounce
        • ReverseContact
          • How to find Reverse Contact API key
          • Enrich person by LinkedIn
          • Enrich person and company by email
          • Enrich company by domain
          • Enrich company by LinkedIn
        • UpLead
    • Data Sources
      • Configuring Fivetran Integration
    • Data Storages
      • PostgreSQL
      • Snowflake
      • BigQuery
      • ClickHouse
  • Data Transformation
    • Transforms
      • Source
      • New Empty Table
      • Output
      • Chart
      • Enrichment
      • New Column
      • If...Then
      • Rolling Functions
      • Column Type
      • Columns Edit
      • Filter
      • Remove Duplicates
      • Sort
      • Find and Replace Text
      • Split Column
      • Extract Text
      • Match Text
      • Join
      • Union
      • Group By
      • Pivot
      • Unpivot
      • To JSON
      • From JSON
      • API Call
      • AI Column
      • AI Table
    • Formulas
      • What are Formulas?
      • Math Functions
        • Abs
        • Ceiling
        • Exp
        • Floor
        • IsEven
        • IsOdd
        • Ln
        • Log
        • Log10
        • Mod
        • Pi
        • Power
        • Quotient
        • Round
        • RoundDown
        • RoundUp
        • Sign
        • Sqrt
        • Truncate
      • Trigonometric Functions
        • Acos
        • Asin
        • Atan
        • Atan2
        • Cos
        • Cot
        • Degrees
        • Radians
        • Sin
        • Tan
      • String Functions
        • Compare
        • Concat
        • Contains
        • In
        • CountMatches
        • CountMatchesRegexp
        • EndsWith
        • EndsWithRegexp
        • Extract
        • FindMatchOfString
        • FindMatchOfRegexp
        • FindMatchesOfString
        • FindMatchesOfRegexp
        • Left
        • Length
        • Lower
        • Matches
        • Pad
        • ProperCase
        • RemoveSymbols
        • RemoveWhitespaces
        • Repeat
        • Replace
        • ReplaceRegexp
        • Reverse
        • Right
        • Spaces
        • Split
        • SplitRegexp
        • StartsWith
        • StartsWithRegexp
        • Stuff
        • Substring
        • SubstringDelimiter
        • SubstringRegexpDelimiter
        • Trim
        • Upper
      • Date & Time Functions
        • Date
        • DateAdd
        • DateAdd2
        • DateDiff
        • DateDiff2
        • DateFromParts
        • DateTime
        • DateTimeFromParts
        • DateTrunc
        • DayName
        • DayOfMonth
        • DayOfWeek
        • DayOfYear
        • Hour
        • Minute
        • Month
        • MonthName
        • Now
        • Quarter
        • Second
        • Time
        • TimeFromParts
        • Today
        • Week
        • Year
      • Aggregate Functions
        • Any
        • AnyIf
        • Array
        • ArrayIf
        • Avg
        • AvgIf
        • AvgInRow
        • Count
        • CountA
        • CountIf
        • CountUnique
        • Max
        • MaxIf
        • MaxInRow
        • Median
        • MedianIf
        • Min
        • MinIf
        • MinInRow
        • Mode
        • ModeIf
        • Percentile
        • Quartile
        • StdDev
        • StdDevIf
        • Sum
        • SumIf
        • SumProduct
        • Variance
        • VarianceIf
      • Conversion Functions
        • ToArray
        • ArrayToString
        • ToBoolean
        • ToDate
        • ToDateTime
        • ToDecimal
        • ToInteger
        • ToObject
        • ToTime
        • ToString
      • Misc Functions
        • At
        • IsMissing
        • RowNumber
        • Random
        • If
        • Coalesce
        • True
        • False
        • Null
        • $target
      • Window Functions
      • Custom Functions
      • Data Types
      • Supported Date Parts
      • Regex: List of Tokes
  • Pricing & Billing
    • Plans, Subscriptions, and Credits
    • Tabula for Education
  • Tutorials
    • Tabula Use Cases
    • Merge Columns
    • Join Types
    • Union Introduction
    • Window Functions
    • What is Unpivot?
    • JSON Format Tutorial
    • Using Regex
Powered by GitBook
On this page
  • Overview
  • Settings

Was this helpful?

  1. Data Transformation
  2. Transforms

To JSON

Creates Objects or Arrays in JSON format from the specified columns

Last updated 1 year ago

Was this helpful?

Overview

The To JSON Node provides a powerful way to combine multiple columns into a single column with structured data, such as arrays or objects. This is especially useful when dealing with hierarchical or relational data and wanting to keep related values bundled together.

Settings

Combine values from

Select one or multiple columns that you want to combine into JSON.

Into

Choose a type of JSON to combine all columns into: an array or object.

Object. When an object type is selected, the column name is used as a key name, and column values as values.

{
  "Gender": "M",
  "Country": "USA",
  "BirthYear": 1980
}

Array. If you select array type information about column names will be lost.

["USA", "M", 1980]

Column name

Enter a name for the new column or select the column you want to overwrite. If you want to overwrite values in an existing column, enable toggle Overwrite and select the required column.