sachin-sankar / tql

Ever wanted to run SQL like queries on csv files? Here it is.

TQL

v0.5.0

Table Query Language.

SQL like query language for csv files.

Getting started

You will need the latest version of python installed in your computer. Clone the github repo and then run python main.py

To exit the client use Ctrl + C

Commands

load

Syntax:

load [filename]

Parameters:

1. filename : The name of the csv file to load without the .csv extension. Rember this file should exist in the same directory as that of main.py file.

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save

Syntax

save [filename]

Parameters

1. filename : Filename to save as.

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In

Syntax

in [columns] [operation] [conditions]

Parameters

1. columns : Column names separated by ,
2. operation: See Supported operations for a list of operations and their function.
3. conditions: See Supported conditions for a list of conditions.

Supported operations

select

Displays the result data in a neat table.

count

Outputs the count of records in result data.

Supported conditions

* operator

Selects all the records

< operator

Selects all records greater than the given integer value in the given column.

Example:

in Rank,Country select Rank<25

> operator

Selects all records less than the given integer value in the given column

Example

in Rank,Country select Rank>36

= operator

Selects all records equals to the given integer value.

# operator

Selects records not equal to a given value. Works like !=.

% operator

Selects records that starts with given string.

Example:

in Rank,Country select %B

Selects all country names that starts with B

_ operator

Selects records that ends with given string.

Example:

in Rank,Country select _a

Selects all country names that ends with a