Azuredatastudio

Azure Data Studio is a data management and development tool with connectivity to popular cloud and o azuredatastudio, typescript, azure, azure-data-studio.

A data processing and analysis toolkit for querying, importing, exporting, transforming, and validating data. Provides a lightweight CLI interface for common data operations with persistent local storage.

Commands

Command	Description
query	Query data with provided search terms
import	Import a data file into the local data store
export	Export results to a specified destination or stdout
transform	Transform data from one format to another
validate	Validate data against the expected schema
stats	Show basic statistics (record count)
schema	Display the data schema (id, name, value, timestamp)
sample	Show sample data (first 5 records from data log)
clean	Clean and deduplicate data entries
dashboard	Show a quick dashboard with total record count
help	Show the help message with all available commands
version	Print the current version number

Data Storage

• Data directory: ~/.local/share/azuredatastudio/ (override with AZUREDATASTUDIO_DIR env variable)
• Data log: $DATA_DIR/data.log — primary data storage file for records
• History log: $DATA_DIR/history.log — tracks all command executions with timestamps

Schema

The default data schema uses the following fields:

Field	Description
id	Unique record identifier
name	Entry name or label
value	Data value
timestamp	When the record was created

Requirements

• Bash 4.0+
• Standard Unix utilities (wc, head, cat, date)
• No API keys or external services needed
• No database server required — uses flat file storage
• Works on Linux and macOS

When to Use

1. Data querying — When you need to run quick queries against your local data store without spinning up a full database
2. File import/export — When you need to import data files into the local store or export records for use in other tools
3. Data validation — When you want to verify your data conforms to the expected schema before processing
4. Data transformation — When you need to convert data between formats (e.g., restructuring fields)
5. Quick statistics — When you want to see basic metrics like total record count or preview sample data at a glance

Examples

bash

# Query data with search terms
azuredatastudio query "SELECT * FROM users WHERE active=1"

# Import a CSV file
azuredatastudio import data.csv

# Export results to a file
azuredatastudio export results.json

# Transform data from one format to another
azuredatastudio transform input.csv output.json

# Validate data against the schema
azuredatastudio validate

# Show basic statistics
azuredatastudio stats

# Display the data schema
azuredatastudio schema

# Preview sample data (first 5 records)
azuredatastudio sample

# Clean and deduplicate data
azuredatastudio clean

# Show a quick dashboard with totals
azuredatastudio dashboard

Output

All command results are printed to stdout. You can redirect output with standard shell operators:

bash

azuredatastudio query "users" > query-results.txt
azuredatastudio export | jq .
azuredatastudio stats >> report.log

Configuration

Set the AZUREDATASTUDIO_DIR environment variable to change the data directory:

bash

export AZUREDATASTUDIO_DIR="/custom/path/to/azuredatastudio"

Default location: ~/.local/share/azuredatastudio/

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