Search Results for "sql sorting queries"

sq is a command line tool that provides jq-style access to structured data sources: SQL databases, or document formats like CSV or Excel. sq executes jq-like queries, or database-native SQL. It can join across sources: join a CSV file to a Postgres table, or MySQL with Excel. sq outputs to a multitude of formats including JSON, Excel, CSV, HTML, Markdown and XML, and can insert query results directly to a SQL database. sq can also inspect sources to view metadata about the source structure (tables, columns, size). ...

SQL with Python in the middle. SPyQL is a query language that combines the simplicity and structure of SQL with the power and readability of Python. SPyQL offers a command-line interface that allows running SPyQL queries on top of text data (e.g. CSV, JSON). Data can come from files but also from data streams, such as as Kafka, or from databases such as PostgreSQL.

Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more. This is a CLI companion to DataStation (a GUI) for running SQL queries against data files. So if you want the GUI version of this, check out DataStation.

In your job, do you have queries that you are running regularly and sometimes you need to share those to non-technical people? Now you can do with your personal SQL Servant. Just configure and test it, if all is good distribute it. Those people doesn't need to have any fancy licensed SQL client.

This is the home of the tool called rq (record query). It's a tool that's used for performing queries on streams of records in various formats. The goal is to make ad-hoc exploration of data sets easy without having to use more heavy-weight tools like SQL/MapReduce/custom programs. rq fills a similar niche as tools like awk or sed, but works with structured (record) data instead of text. It was created with love out of the best parts of Rust, and is distributed as a dependency-free binary on many operating systems and architectures.

SingletDAO is a simple java data access frame work to access data in database. A Single Data Access Object to access data in database and eliminates writing custom DAOs. Easy to plug-in. Easy to manage SQL queries. Supports JSON.

REX allows you to create REST interfaces by directly connecting HTTP Requests to SQL/XML queries without programming.

Python library provides the briefest way to construct SQL queries in JSON form. Simple example: ('*','table',id:[1,3]) is Select * from table where id in [1,3]. Sqlalchemy patch module is provided to extend sqlalchemy with convenient jsonSQL meth