<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Developer on Kinetica Docs</title><link>/7.2/guide-tags/developer/</link><description>Recent content in Developer on Kinetica Docs</description><generator>Hugo -- gohugo.io</generator><language>en</language><atom:link href="/7.2/guide-tags/developer/index.xml" rel="self" type="application/rss+xml"/><item><title>C++ Developer Guide</title><link>/7.2/guides/cpp_guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/7.2/guides/cpp_guide/</guid><description>The following guide provides step-by-step instructions to get started writing C++ applications using Kinetica. This guide demonstrates only a small set of the available API. A detailed description of the complete interface is available under C&amp;#43;&amp;#43; API Reference.
API Download The source code for the C++ API is available for download from the GitHub repository kineticadb/kinetica-api-cpp. Follow the instructions in the included README file to build the API library.</description></item><item><title>Java Developer Guide</title><link>/7.2/guides/java_guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/7.2/guides/java_guide/</guid><description>The following guide provides step-by-step instructions to get started writing Java applications using Kinetica. This guide demonstrates only a small set of the available API. A detailed description of the complete interface is available under Java API Reference.
Prerequisites Data File API Download Maven Download Manual Download File Hierarchy Connecting to the Database Creating a Schema Creating a Type Creating a Table Inserting Data Key/Value Record In-Line Record CSV Retrieving Data Updating Records Deleting Records Alter Table Indexes Dictionary Encoding Filters Aggregates Joins Projections Union, Intersect, &amp;amp; Except Download &amp;amp; Run Prerequisites Data File The tutorial java file makes reference to a data file in the current directory.</description></item><item><title>JavaScript Developer Guide</title><link>/7.2/guides/js_guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/7.2/guides/js_guide/</guid><description>The following guide provides step-by-step instructions to get started writing JavaScript applications using Kinetica. This guide demonstrates only a small set of the available API. A detailed description of the complete interface is available under JavaScript API Reference.
API Download The source code for the JavaScript API is available for download from the GitHub repository kineticadb/kinetica-api-javascript. Follow the instructions in the included README file to use the API library.</description></item><item><title>Node.js Developer Guide</title><link>/7.2/guides/nodejs_guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/7.2/guides/nodejs_guide/</guid><description>The following guide provides step-by-step instructions to get started writing Node.js applications using the client-side Node.js module for Kinetica. This guide demonstrates only a small set of the available API. A detailed description of the complete interface is available under Node.js API Reference.
API Download The source code for the Node.js API is available for download from the GitHub repository kineticadb/kinetica-api-javascript. Follow the instructions in the included README file to use the API library.</description></item><item><title>Python Developer Guide</title><link>/7.2/guides/python_guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/7.2/guides/python_guide/</guid><description>The following guide provides step-by-step instructions to get started writing Python applications using Kinetica. This guide demonstrates only a small set of the available API. A detailed description of the complete interface is available under Python API Reference.
Prerequisites Python API Installation Python Virtual Environment PyPI Git Data File Connecting to the Database Creating a Schema Creating a Type Creating a Table Inserting Data Key/Value Record In-Line Record CSV Retrieving Data Updating Records Deleting Records Alter Table Indexes Dictionary Encoding Filters Aggregates Joins Projections Union, Intersect, &amp;amp; Except Download &amp;amp; Run Prerequisites The prerequisites for running the match graph example are listed below:</description></item><item><title>Python UDF Guide</title><link>/7.2/guides/udf_python_guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/7.2/guides/udf_python_guide/</guid><description>The following guide provides step-by-step instructions to get started writing and running UDFs in Python. This example is a simple distributed UDF that copies data from one table to another using a CSV configuration file to determine on which processing node(s) data will be copied.
Standard (non-replicated) tables have their data distributed across all processing nodes, while replicated tables have all of their data on every processing node. In this example, we'll use a standard table and copy only the portions of its data that reside on the nodes named in the CSV file.</description></item><item><title>SQL Developer Guide</title><link>/7.2/guides/sql_guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/7.2/guides/sql_guide/</guid><description>The following guide provides step-by-step instructions to get started interacting with Kinetica using SQL. This guide demonstrates some of the most common and useful SQL commands, but a detailed look into the full SQL support is available on the SQL page.
Prerequisites Data File Creating a Type and Table Inserting Data Retrieving Data Updating Records Deleting Records Alter Table Indexes Dictionary Encoding Filters &amp;amp; Aggregates Subqueries Common Table Expression / With Joins Create Table As Union, Intersect, and Except Truncate Complete Sample Prerequisites For a description of how to configure various clients for issuing SQL commands, see Connecting.</description></item><item><title>Table Monitor Guide</title><link>/7.2/guides/table_monitor/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/7.2/guides/table_monitor/</guid><description>The following is an excerpted tutorial, extracted from a complete example using the Python Table Monitor API, demonstrating the basic use of the three table monitor types:
table insert monitor - watches a table for newly inserted records and can make use of those records elsewhere table update monitor - watches a table for updates and reports the number of records updated in each update request issued table delete monitor - watches a table for deletes and reports the number of records deleted in each delete request issued The table monitors will be managed via instances of the GPUdbTableMonitor.</description></item></channel></rss>