Skip to content

Upload Files

Using Chango CLI, CSV, JSON, and Excel Files can be uploaded whose data will be inserted to Iceberg table in Chango automatically.

NOTE: Before uploading files, make sure that Chango Data API and Chango Straming are installed.

Install Chango CLI

Download chango client jar and install it as Chango CLI. 

curl -L -O https://github.com/cloudcheflabs/chango-client/releases/download/2.0.1/chango-client-2.0.1-executable.jar;
cp chango-client-2.0.1-executable.jar ~/bin/chango;
chmod +x ~/bin/chango;

Initialize Chango CLI

Credential needs to be entered when Chango CLI is initialized. To Get Chango Credential, see Get Chango Credential. 

chango init

After credential entered, output looks like this. 

chango init

Enter Token: xxxxxxxx
Initialization success!

Upload JSON

You can upload individual JSON file or all the JSON files in directory.

NOTE: Before uploading JSON files, target Iceberg table needs to be created beforehand. See here for more details.

Upload JSON file.

chango upload json local \
--data-api-server [endpoint-of-data-api] \
--schema iceberg_db \
--table test_iceberg \
--file /home/chango/multi-line-json.json \
--batch-size 150000 \
;
  • schema : iceberg schema created before.
  • table: iceberg table where json data will be ingested in chango.
  • file : local json file path.
  • batch-size : list of json in gzip will be sent in batch mode. The size of json list.

Upload all JSON files in directory.

chango upload json local \
--data-api-server [endpoint-of-data-api] \
--schema iceberg_db \
--table test_iceberg \
--directory /home/chango/json-files \
--batch-size 150000 \
;
  • directory: the directory where json files are located which will be sent to chango.

[endpoint-of-data-api] is the endpoint of Chango Data API, go to Components -> Chango Data API, and get URL in Endpoint section.

Upload Excel

You don't have to create Iceberg table before uploading Excel to chango. Chango will create Iceberg table automatically.

NOTE: Take a note that the header of Excel must exist.

You can also create Iceberg table(for example, Iceberg table with the definition of partition columns) before uploading Excel to chango.

chango upload excel local \
--data-api-server [endpoint-of-data-api] \
--schema iceberg_db \
--table excel_to_json \
--file /home/chango/data/excel-to-json.xlsx \
;

Upload CSV

As like Excel, you don’t have to create Iceberg table beforehand. Chango will create Iceberg table automatically.

NOTE: Take a note that the header of CSV must exist.

You can also define a Iceberg table(for example, Iceberg table with the definition of partition columns) before uploading CSV to chango.

The following example is to upload CSV with the separator of comma.

chango upload csv local \
--data-api-server [endpoint-of-data-api] \
--schema iceberg_db \
--table csv_to_json_comma \
--separator "," \
--is-single-quote false \
--file /home/chango/data/csv-to-json-comma.csv \
;
  • separator is the separator of csv data. If csv data is tab separated, the value is TAB . But for another separators, you need to type a separator value, for instance, , , | , or something else.
  • is-single-quote is if the escaped value of csv data is single quoted or not. Default is false.

For tab separated CSV, use the following.

chango upload csv local \
--data-api-server [endpoint-of-data-api] \
--schema iceberg_db \
--table csv_to_json_tab \
--separator TAB \
--is-single-quote false \
--file /home/chango/data/csv-to-json-tab.csv \
;
  • parameter separator value must be TAB.

You can upload multiple CSV files located in the directory.

chango upload csv local \
--data-api-server [endpoint-of-data-api] \
--schema iceberg_db \
--table csv_to_json_comma \
--separator "," \
--is-single-quote false \
--directory /home/chango/local-csvs \
;