Search Results for "sql executor"

SQL builder and query library for golang. goqu is an expressive SQL builder and executor. Query builder, parameter interpolation (e.g SELECT * FROM "items" WHERE "id" = ? -> SELECT * FROM "items" WHERE "id" = 1). Built from the ground up with multiple dialects in mind. Insert, multi insert, update, and delete support. Scanning of rows to struct[s] or primitive value[s]. While goqu may support the scanning of rows into structs it is not intended to be used as an ORM if you are looking for common...

Apache Doris is a modern MPP analytical database product. It can provide sub-second queries and efficient real-time data analysis. With it's distributed architecture, up to 10PB level datasets will be well supported and easy to operate. Apache Doris can meet various data analysis demands, including history data reports, real-time data analysis, interactive data analysis, and exploratory data analysis. Make your data analysis easier! Support standard SQL language, compatible with MySQL protocol...

NanoH5 (or FullRelation) is a fullstack UI implementation framework providing a model driven design (MDA). Build a complete html5 application through a given class- or database-model without coding (coding APIs are available).

With CueLake, you can use SQL to build ELT (Extract, Load, Transform) pipelines on a data lakehouse. You write Spark SQL statements in Zeppelin notebooks. You then schedule these notebooks using workflows (DAGs). To extract and load incremental data, you write simple select statements. CueLake executes these statements against your databases and then merges incremental data into your data lakehouse (powered by Apache Iceberg). To transform data, you write SQL statements to create views...

Do you need generate report from databases periodically? Do you need to consolidate data from multiple databases in different servers? Here is a tool for gathering data from different data source and consolidate them in CSV files or in database table.

this tool for test-data-generation receives an 'excel-sheet' as primary input. second important paramter is the 'number of test-records to produce'. The excel-data will be reused as long data is needed. This tool is hightly paramatrisazable by the use of 'xsl scripts'. data can be created, updated, modified and finally exported in a format of your choice Main Fuctions: (1) Generates Testdata (excel, xsl, xml) (2) Exports generated testdata in multiple formats (csv, excel, html, sql-insert...

It's a tutorial project for AbacusUtil. AbacusUtil is a general java programming utility library/framework. It provides below features: 1, Exclusive SQL executor with well-designed API. It’s more than two times faster than SpringJDBC/iBatis/Hibernate. 2, Supports serialization from java object to JSON/XML or deserialization from JSON/XML to java object with concise and high performance APIs. 3, Supports http client and web service programming in simple way. 4, The big 'N', a comprehensive...

A simple application that will accept a file of SQL statements to execute. Statements are delimited with semicolons and simple error checking done. The application is intended to automate database creation and initial table content loads

SQL Exp intend to be a cross-platform SQL query editor and executor. Aim is to display (and alter) databases structure, manage a set of user scripts, edit stored procedures and local scripts, execute (and edit; when possible) SQL statements.

Eclipse SQL plug-in. Contains SQL editor and executor. Table editor, data retrieve and migration tools. Plug-in has extensions to be used in other projects that need database connectivity.

Searches arbitrary text input (logs, etc) for regular expression(s) matching, and then executes arbitrary SQL statement(s) with matched substrings used as parameters. Offers daemon, incremental and transactional features.

WS-proxy is an effort to create a universal SQL executor via Web services for JDBC databases (like Progress Sonic ESB Database service) under GPL license. This will encapsulate WS security 2.0/3.0

With CueLake, you can use SQL to build ELT (Extract, Load, Transform) pipelines on a data lakehouse. You write Spark SQL statements in Zeppelin notebooks. You then schedule these notebooks using workflows (DAGs). To extract and load incremental data, you write simple select statements. CueLake executes these statements against your databases and then merges incremental data into your data lakehouse (powered by Apache Iceberg). To transform data, you write SQL statements to create views...