### Format SQL with CASE Expressions

Source: https://context7.com/david-wobrock/sqlvalidator/llms.txt

This Python example shows how sqlvalidator correctly indents and formats SQL queries containing `CASE WHEN` statements, improving readability.

```python
import sqlvalidator
sql = """
select id,
case status when 'A' then 'Active' when 'I' then 'Inactive' else 'Unknown' end status_name,
case when score >= 90 then 'A' when score >= 80 then 'B' else 'C' end grade
from records
"""
print(sqlvalidator.format_sql(sql))
```

--------------------------------

### Format SQL using Python API

Source: https://github.com/david-wobrock/sqlvalidator/blob/main/README.md

Demonstrates how to use the sqlvalidator library to programmatically format a SQL query string.

```python
import sqlvalidator

formatted_sql = sqlvalidator.format_sql("SELECT * FROM table")
```

--------------------------------

### Configure pre-commit hook

Source: https://github.com/david-wobrock/sqlvalidator/blob/main/README.md

Configuration snippet for integrating sqlvalidator into a .pre-commit-config.yaml file.

```yaml
- repo: https://github.com/David-Wobrock/sqlvalidator
  rev: <sha1 of the latest sqlvalidator commit>
  hooks:
    - id: sqlvalidator
```

--------------------------------

### Validate SQL using Python API

Source: https://github.com/david-wobrock/sqlvalidator/blob/main/README.md

Shows how to parse a SQL query and check for validity, accessing error details if the query is invalid.

```python
import sqlvalidator

sql_query = sqlvalidator.parse("SELECT * from table")

if not sql_query.is_valid():
    print(sql_query.errors)
```

--------------------------------

### Format SQL via Command Line

Source: https://context7.com/david-wobrock/sqlvalidator/llms.txt

The command-line interface allows for batch processing of Python files to format embedded SQL strings. It supports individual files, multiple files, or entire directories.

```bash
# Format a single file
sqlvalidator --format queries.py

# Format multiple files
sqlvalidator --format models.py views.py

# Format all Python files in a directory
sqlvalidator --format ./src/
```

--------------------------------

### Format SQL with Window Functions and Analytics

Source: https://context7.com/david-wobrock/sqlvalidator/llms.txt

This Python snippet demonstrates how sqlvalidator can format complex SQL queries involving window functions, including `PARTITION BY`, `ORDER BY`, and frame clauses.

```python
import sqlvalidator
sql = """
select employee_id, department,
row_number() over (partition by department order by salary desc) rank,
sum(salary) over (partition by department rows between unbounded preceding and current row) running_total
from employees
"""
print(sqlvalidator.format_sql(sql))
```

--------------------------------

### Configure Pre-commit Hook for SQL Formatting

Source: https://context7.com/david-wobrock/sqlvalidator/llms.txt

Integrate sqlvalidator into your project's pre-commit hooks by adding it to the `.pre-commit-config.yaml` file. This automates SQL formatting checks and application on each commit, ensuring consistent code style.

```yaml
# .pre-commit-config.yaml
repos:
  - repo: https://github.com/David-Wobrock/sqlvalidator
    rev: v0.0.20  # Use latest version
    hooks:
      - id: sqlvalidator
        # Optional: specify arguments
        args: ['--format']
        # Optional: limit to specific files
        files: '\.py$'
```

```bash
# Install pre-commit hooks
pre-commit install

# Run manually on all files
pre-commit run sqlvalidator --all-files

# Runs automatically on git commit
git add queries.py
git commit -m "Update queries"
# Output: sqlvalidator...........................................................Passed
```

--------------------------------

### Using the SQLQuery Class

Source: https://context7.com/david-wobrock/sqlvalidator/llms.txt

The SQLQuery class provides an object-oriented interface to encapsulate parsing, formatting, and validation logic for SQL statements.

```python
from sqlvalidator.sql_validator import SQLQuery

# Create SQLQuery directly
query = SQLQuery("select count(*) from users group by status having count(*) > 10")

# Format and Validate
formatted = query.format()
is_valid = query.is_valid()
print(f"Formatted: {formatted}, Valid: {is_valid}")
```

--------------------------------

### Format SQL Queries with Python

Source: https://context7.com/david-wobrock/sqlvalidator/llms.txt

The format_sql function standardizes SQL strings by adjusting capitalization, indentation, and line breaks. It supports complex queries including joins and subqueries.

```python
import sqlvalidator

# Basic SELECT formatting
sql = "select col1, col2, col3 from users where active = true"
formatted = sqlvalidator.format_sql(sql)
print(formatted)

# Complex query with joins and subqueries
complex_sql = """
select a.id, b.name, sum(c.amount)
from orders a
join customers b on a.customer_id = b.id
join (select order_id, amount from line_items where qty > 0) c
using (order_id)
where a.status = 'completed'
group by a.id, b.name
order by sum(c.amount) desc
limit 10
"""
print(sqlvalidator.format_sql(complex_sql))
```

--------------------------------

### Format SQL with WITH Statements (CTEs)

Source: https://context7.com/david-wobrock/sqlvalidator/llms.txt

This Python code illustrates the formatting capabilities of sqlvalidator for SQL queries that utilize Common Table Expressions (CTEs) and nested queries.

```python
import sqlvalidator
sql = """
with monthly_sales as (
select date_trunc('month', sale_date) month, sum(amount) total
from sales group by 1
), top_months as (
select month from monthly_sales where total > 10000
)
select * from sales where date_trunc('month', sale_date) in (select month from top_months)
"""
print(sqlvalidator.format_sql(sql))
```

--------------------------------

### Format BigQuery SQL with Python

Source: https://context7.com/david-wobrock/sqlvalidator/llms.txt

Formats SQL queries that include BigQuery-specific syntax such as UNNEST, ARRAY_AGG, and STRUCT using the sqlvalidator library. This function takes a raw SQL string as input and returns a formatted SQL string.

```python
import sqlvalidator

sql = """
select user_id,
array_agg(distinct event_name ignore nulls order by timestamp limit 10) recent_events,
struct(count(*) as total, max(timestamp) as last_seen) stats
from events, unnest(event_data) as data with offset pos
where data.type = 'click'
group by user_id
"""
print(sqlvalidator.format_sql(sql))
```

--------------------------------

### Skip SQL Formatting with Comments

Source: https://context7.com/david-wobrock/sqlvalidator/llms.txt

Specific SQL strings within code can be excluded from formatting by adding the `nosqlformat` comment. This allows for preserving the original formatting of critical or complex SQL statements.

```python
# In your Python file:
def get_legacy_query():
    # This SQL will not be reformatted
    return "select * from old_table"  # nosqlformat

def get_modern_query():
    # This SQL will be formatted
    return "select * from new_table"
```

```bash
sqlvalidator --format myfile.py
# Only formats queries without nosqlformat comment
```

--------------------------------

### Check SQL Formatting without Modifying Files

Source: https://context7.com/david-wobrock/sqlvalidator/llms.txt

The `--check-format` flag verifies if SQL files require formatting without altering them. It returns an exit code of 0 if no changes are needed and 1 if modifications would occur. This is useful for CI/CD pipelines to ensure code style consistency.

```bash
# Check formatting without modifying filessqlvalidator --check-format queries.py
# Output: would reformat queries.py (2 changed SQL)
# 1 file would be reformatted (2 changed SQL queries).
# Exit code: 1

# After formattingsqlvalidator --format queries.py
sqlvalidator --check-format queries.py
# Output: No file would be reformatted.
# Exit code: 0

# Useful in CI/CD pipelines
sqlvalidator --check-format ./src/ || echo "SQL formatting check failed!"
```

--------------------------------

### Parse and Validate SQL Queries

Source: https://context7.com/david-wobrock/sqlvalidator/llms.txt

The parse function creates an SQLQuery object used to check for syntactic and semantic errors. It provides an is_valid() method and an errors list for debugging invalid queries.

```python
import sqlvalidator

# Valid query validation
sql_query = sqlvalidator.parse("SELECT id, name FROM users WHERE active = true")
if sql_query.is_valid():
    print("Query is valid!")

# Invalid query - missing column in subquery
invalid_sql = """
SELECT field2
FROM (SELECT field1 FROM table)
"""
sql_query = sqlvalidator.parse(invalid_sql)
if not sql_query.is_valid():
    print(f"Validation errors: {sql_query.errors}")
```

--------------------------------

### Validate SQL Queries for Semantic Errors

Source: https://context7.com/david-wobrock/sqlvalidator/llms.txt

The `--validate` flag checks SQL queries for semantic errors without modifying the files. The `--verbose-validate` option provides detailed error messages, including line numbers and specific issues. This functionality can be applied to individual files or entire directories.

```bash
# Basic validationsqlvalidator --validate queries.py
# Output: invalid queries in queries.py (1 invalid SQL)
# 1 file detected with invalid SQL (1 invalid SQL queries).

# Verbose validation with error details
sqlvalidator --verbose-validate queries.py
# Output: invalid queries in queries.py (2 invalid SQL)
# L15 - The column user_id was not found
# L42 - Unknown column at position 3. SELECT has 2 columns
# 1 file detected with invalid SQL (2 invalid SQL queries).

# Validate entire directory
sqlvalidator --validate ./src/
# Output: invalid queries in ./src/reports.py (1 invalid SQL)
# 1 file detected with invalid SQL (1 invalid SQL queries).
```

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