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CSQLY Query Syntax

CSQLY uses YAML for writing SQL queries in a more structured and readable format. This document explains the syntax and features available for writing queries.

Basic Query Structure

CSQLY queries are structured based on the type of SQL operation you want to perform:

SELECT Queries

select:
  columns:
    - column1
    - column2
    - alias: column3
  from: tableName
  where:
    condition1: value1
    condition2: value2
  orderBy:
    - field: column1
      direction: asc
  limit: 10
  offset: 20

INSERT Queries

insert:
  into: tableName
  values:
    - column1: value1
      column2: value2
    - column1: value3
      column2: value4

UPDATE Queries

update:
  table: tableName
  set:
    column1: newValue1
    column2: newValue2
  where:
    condition: value

DELETE Queries

delete:
  from: tableName
  where:
    condition: value

Condition Operators

CSQLY supports various condition operators:

Simple Equality

where:
  column: value  # Equivalent to column = value

Comparison Operators

where:
  column:
    $gt: 10      # Greater than (>)
    $gte: 10     # Greater than or equal (>=)
    $lt: 20      # Less than (<)
    $lte: 20     # Less than or equal (<=)
    $ne: 30      # Not equal (<>)
    $like: "%pattern%"  # LIKE operator

Logical Operators

where:
  $and:          # AND operator
    - column1: value1
    - column2: value2

  $or:           # OR operator
    - column1: value1
    - column2: value2

  $not:          # NOT operator
    column: value

IN Operator

where:
  column:
    $in: [1, 2, 3]  # IN (1, 2, 3)

BETWEEN Operator

where:
  column:
    $between: [10, 20]  # BETWEEN 10 AND 20

IS NULL / IS NOT NULL

where:
  column:
    $isNull: true    # IS NULL
    $isNotNull: true # IS NOT NULL

Joins

select:
  columns:
    - t1.column1
    - t2.column2
  from: table1 AS t1
  joins:
    - type: inner      # inner, left, right, full
      table: table2 AS t2
      on:
        t1.id: t2.id

Aggregation Functions

select:
  columns:
    - count: "*"       # COUNT(*)
    - sum: amount      # SUM(amount)
    - avg: price       # AVG(price)
    - min: value       # MIN(value)
    - max: value       # MAX(value)
  from: tableName
  groupBy:
    - category
  having:
    count:
      $gt: 5           # HAVING COUNT(*) > 5

Subqueries

select:
  columns:
    - name
  from: employees
  where:
    department_id:
      $in:
        select:        # Subquery
          columns:
            - id
          from: departments
          where:
            location: "New York"

Parameters

Parameters can be used for values that might change between query executions:

select:
  columns:
    - name
    - email
  from: users
  where:
    role: $role         # Parameter named "role"
    created_at:
      $gt: $startDate   # Parameter named "startDate"

These parameters will be replaced with properly escaped values when the query is executed.

Advanced Features

Common Table Expressions (CTEs)

with:
  cte_name:
    select:
      columns:
        - id
        - amount
      from: orders
      where:
        status: "completed"
select:
  columns:
    - customer_name
    - total_amount
  from: customers c
  joins:
    - type: inner
      table: cte_name o
      on:
        c.id: o.customer_id

Window Functions

select:
  columns:
    - name
    - department
    - salary
    - rank:
        over:
          partitionBy:
            - department
          orderBy:
            - field: salary
              direction: desc
  from: employees

Best Practices

  1. Use consistent indentation for readability
  2. Use parameters instead of hardcoding values
  3. Split complex queries into smaller, more manageable parts
  4. Add comments where necessary to explain the purpose of specific conditions
  5. Test your queries on smaller datasets before running on production data