App Lab Table Data Storage


App Lab's table data storage enables persistent data storage for an app. Whereas setKeyValue() and getKeyValue() can be used to store multiple independent key/value pairs, table data storage allows you to store similar data together in a table format.

As a simple example, let's say you are building an app that collects information about a person's name, age, and favorite food so you can figure out if food preferences are correlated with age.

If you were storing this data on a piece of paper, or with a spreadsheet app, you might format the data like this:

Name Age Food
Abby 17 Ravioli
Kamara 15 Sushi
Rachel 16 Salad

The table has a row of column names, and then each row that is added to the table fills in one or more of the columns. App Lab's table data storage let you store similarly formatted data, and provides simple functions to read, create, delete, and update records (rows) in a table, right from your app.


Table: A collection of records with shared column names Record: A "row" of the table Persistent data storage: Data that is stored "in the cloud" separately from the code running in your app. The data can be accessed across multiple app refreshes or users of the app.

Viewing Data

View your app's table data by clicking the 'Data' tab in App Lab and clicking the table name you want to view.

Reading and creating table records from your app

To create, read, update, and delete table records from your app, use the following App Lab Data functions:

Bulk importing table data from a file

If you have existing data in a spreadsheet that you want your app to be able to access, you can use the Import feature to quickly fill a table with records from the spreadsheet. To import data:

Step 1. Format the spreadsheet In a spreadsheet editor of your choice, make sure the data is formatted with column names in the first row, and your table data below that. Your spreadsheet data should be formatted like this, but with values of your choosing (like our favorite food example):

column 1 column 2 ... column N
row1 col1 data row1 col2 data row1 colN data
row2 col1 data row2 col2 data row2 colN data
row3 col1 data row3 col2 data row3 colN data

Step 2. Save the spreadsheet as a csv file A comma separated file, or csv file, is a simple file format that most spreadsheet editors should support saving your file as. Save the file as a csv, and download it to your computer.

Step 3. Import the file to App Lab table data storage To import the file into a table in App Lab:

  1. Click the 'View data' button in App Lab while viewing your code in "Code mode."
  2. Click an existing table name or add a new table to your app.
  3. Click the Import button and select the csv file from Step 2.
  4. Click 'Overwrite & Import' to have the spreadsheet data overwrite the current table data. Note: Existing data will be overwritten, so make sure you didn't intend to keep the current data!

Step 4. Review the imported data If your data is imported successfully, then review the table to make sure everything looks right. You can make quick tweaks to rows by clicking the "Edit" button for that row and editing the values inline.

If the data failed to import properly, make sure that your original csv file was formatted properly with column names and valid rows.

Now that you have data in your table, you can use the App Lab Data functions linked above to read, update, delete, or create new rows in your table.

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