Loader Cockroach

Data In

• full file path: /data/in/tables/input.csv
• relative file path: in/tables/input.csv
• full dir path: /data/in/tables
• relative dir path: in/tables

File structure:

ID,CAR,COST,DATE_OF_SALE

1,BWM,400000,2019-09-10

2,Volvo,3000,2019-01-10

Or without header

 1,BWM,400000,2019-09-10

2,Volvo,3000,2019-01-10

Warning:  json data should be escaped in the input file.

Data Out

N/A

DB Table Name (required)

Table’s name in the database.

Auto Create (true/ false) (optional)

If true, auto-creates columns by headers in CSV files, the type is text, nullable true and default is an empty string. Columns definitions will be ignored.

Delimiter (required)

Customer delimiter.

Headers (optional)

If true, headers are specified in the CSV files, if false columns will be populated in order in which they are entered.

Path to File/ Folder (required)

Path to the folder with data folders with specifications on the table's name.  For example,

./data/in/tables/Saving_Product_MarFebJanDec

For loading all CSV files to the database, folder path /data/in/tables  or /data/in/tables/folder_name is sufficient enough. A component goes through all CSV files in the folder and load all of them into a table in a database.

Load method (required)

full_load, insert, upsert

Full_load method

Method deletes given tables if they exist. Re-creates them and inserts data from file(s).

Note that when using this method, it is important to disable auto create.

Insert method

The method inserts data into the tables and ignores conflicts.

Upsert method

Method upsert data to the tables. In case of conflicts, data will be updated. 

Primary key (required)

List of primary keys (from columns specified further).

Column Name (required)

Refers to the column in the input CSV file.

DB Column Name (required)

Refers to how this column will be named in the destination database.

Data Type (required)

The data type used in the column. Supported: integer, boolean, varchar, text, date, timestamp, biginteger, float, real, time, json

Nullable (optional)

If checked, then the data with empty strings are loaded as NULL values in the destination database (in this case, is_nullable = YES).

If unchecked and the data contains empty strings, then the loader returns an error message. For example: “Cannot insert the value NULL into column XY, column does not allow nulls. INSERT fails.”

Warning: All columns listed as primary keys should have unchecked Nullable (is_nullable = NO), otherwise, the loader throws an error “Cannot define PRIMARY KEY constraint on nullable column”.

Default Value (optional)

The default value is inserted for empty values in the column. For example,   inserts NULLs in the destination columns database for empty strings in csv file. - inserts - for empty strings.

Host (required)

Name of the server that hosts the database.

Port (required)

The port number you want to access.

Schema (required)

Organization unit in the database.

Database (required)

Name of the database.

User (required)

Account name. 

Password (required)

Account password.