Kinetica in AWS Documentation on Kinetica Docs

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JSON Egress Tests Enter Parameters URL Username Password Schema Run Test

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JSON Ingest Tests Enter Parameters URL Username Password Schema Filename Run Test

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Tutorial Enter Parameters URL Username Password Run Tutorial

Default Ports

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The default ports used for communication with Kinetica and various important services follow. Port Function 80 The non-secure listener for Kinetica application & connection traffic; will redirect automatically to the secure listener on port 443 443 The listener for applications (Workbench, Reveal, etc.) and connections (APIs, JDBC, etc.) 5432 The listener for PostgreSQL Wire Protocol connections 9002 Table monitor publishing server port. Users of database table monitors will need the ability to connect to this port to receive data generated via the table monitor.

Downloads

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Tip All of the downloads below (plus ODBC Mac and Linux clients) are available in Workbench on the home screen, under Getting Started ‣ API Downloads. Database API Downloads The database API bindings for each language can be found below. Name Repository Reference C++ C++ GitHub Repo C++ API Reference C++ API Tutorial C# C# GitHub Repo C# API Reference Java Java GitHub Repo Java API Reference Java API Tutorial JavaScript JavaScript GitHub Repo JavaScript API Reference JavaScript Developer Manual Node.

Integrate

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Topics APIs C++ API C# API Java API JavaScript API Node.js API Python API REST API Connecting via API Compatibility Matrix Connectors SQL Connectors Geospatial Connector Data Connecctors Compatibility Matrix Downloads API Downloads UDF API Downloads Connector Downloads User-Defined Function Implementation UDF Tutorials UDF Prerequisites UDF Deveopment Performance Optimization Distributed Ingest Distributed Key Lookup Sharding Geospatial Kinetica Tools KiFS KiSQL

Resource Management Concepts

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Overview Storage Tiers VRAM RAM Disk Cache Persist Cold Storage Eviction Evictability Request-Based Eviction Watermark-Based Eviction Eviction Priority Examples Request-Based Eviction Processing Watermark-Based Eviction Processing Data Movement Upward Downward Expiration On Startup Tier Strategies Tier Strategy Predicates Resource Groups Ranking and Effective Resource Groups Scheduling Scheduling Priority Overview Resource management is a feature within Kinetica designed to meet three goals: Expand the operating capacity of a cluster by backing the in-memory database with several layers of disk-based storage Allow the prioritization of data within those layers Allow the prioritization of user requests Three components are involved in managing resources:

User-Defined Functions Overview

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Kinetica supports the concept of user-defined functions (UDF) via a mechanism similar to stored procedures, being a user-defined sequence of operations on a specified data set. UDFs In-Depth: UDF Implementation -- detail about writing & running and for some examples of UDFs Python UDF Tutorial -- example UDF workflow in Python In Kinetica, there are two types of UDFs: distributed - the procedure will be invoked within the database, executing in parallel against each data shard of the specified tables.