/7.2/release/Recent content in Release Notes on Kinetica DocsHugo -- gohugo.ioen/7.2/release/5.2/Mon, 01 Jan 0001 00:00:00 +0000/7.2/release/5.2/ Features Connectors Core Security GAdmin SQL Features Connectors Increased stability & performance across connectors Core Added support for 32, 64, 128, & 256 byte character strings Initial NULL support Added support for inner, left & right join set operations Added filter planner for displaying join path Added set concatenation operation Aggregation result sets can be made into views New functions: Character-based: lower, upper, min, max, ltrim, rtrim & trim Geographic: wkt_dist & wkt_is_within_dist Null: is_null, nvl, nvl2 & nullif Collapsed /alter/table/* and /show/table/* endpoints Security Added role-based security and supporting endpoints Removed passphrase-based authorization checks; no longer needed in new security model GAdmin Added to HA & security infrastructures Sortable data grid columns Added to table view: shard & foreign keys, replicated & protected statuses, TTL SQL Operations: JOIN, LEFT/RIGHT JOIN, EXISTS, SELECT DISTINCT, TOP, UNION ALL & IN Functions: CASE, CONVERT, IFNULL, NOT, TIMESTAMPADD, TRUNCATE/7.2/release/6.0/Mon, 01 Jan 0001 00:00:00 +0000/7.2/release/6.0/Features Core Security SQL Version 6.0.1 API Core SQL Features Reveal data exploration tool and analytics GUI User-Defined Function Framework User-defined binaries can receive table data, perform computations, and persist results in a distributed manner Orchestration API provided in C++ and Java bindings; integrates with high-speed IPC layer of every data container Visual Installer--allows for easy click-button installation across hundreds of nodes Core Increased node capacity & utilization, with active memory management; operations are host memory aware and write to disk, as needed GPU-only column designation for accelerated query performance Full NULL support Added Decimal, Date, & Time column types Support for renaming tables and adding/modifying/deleting columns in place Union, intersect & minus set operations Multi-column order-by support Added projections--filters that allow column expressions in the result set column list Moving average capability Security Integration with LDAP & Kerberos Table-level data access control per user SQL Operations: CROSS JOIN, FULL OUTER JOIN, UNION DISTINCT, UPDATE, DELETE, CREATE TABLE, DROP TABLE Functions: LIKE Types: DECIMAL(P,S), TYPE_DATE, & TYPE_TIME Version 6./7.2/release/6.1/Mon, 01 Jan 0001 00:00:00 +0000/7.2/release/6.1/APIs Cloud Deployment Connectors Core Geospatial Installation / Management Reveal Security SQL User-Defined Functions (UDFs) APIs The Python API can be installed from PyPI Database backups possible while the system is still online The /wms endpoint has had numerous enhancements: Support for tables with multiple geospatial columns Additional RASTER and CB_RASTER mode options The ability to use a default class for the CB_RASTER mode The Java API BulkInserter will automatically retry any failed inserts to attempt to handle errors automatically The PIVOT operation is enabled via the /aggregate/groupby endpoint options pivot and pivot_values./7.2/release/6.2/Mon, 01 Jan 0001 00:00:00 +0000/7.2/release/6.2/Core Geospatial Security SQL User-Defined Functions (UDFs) Core The size limit for primary keys has been increased to 320 bytes [1] Dictionary encoding performance enhancements Jobs can now be performed asynchronously The Kinetica File System (KiFS) has been introduced to greatly ease ML workflows centered around file processing and file generation Non-HA multi-head primary key lookup is now possible using the RecordRetriever object available in the Java and Python APIs/7.2/release/7.0/Mon, 01 Jan 0001 00:00:00 +0000/7.2/release/7.0/Publish Date: 01/31/2019 Features Version 7.0.20 Version 7.0.19 Version 7.0.18 Version 7.0.17 Version 7.0.16 Version 7.0.15 Version 7.0.14 Version 7.0.13 Version 7.0.12 Version 7.0.11 Version 7.0.10 Version 7.0.9 Version 7.0.8 Version 7.0.7 Version 7.0.6 Version 7.0.5 Version 7.0.4 Version 7.0.3 Version 7.0.2 Version 7.0.1 Features Active Analytics Workbench The Active Analytics Workbench (AAW) platform is now available. A brand new API and UI are available to improve existing machine learning workflows./7.2/release/7.1/Mon, 01 Jan 0001 00:00:00 +0000/7.2/release/7.1/Publish Date: 2020.08.19 Install Upgrade Features Version 7.1.10 Version 7.1.9 Version 7.1.8 Version 7.1.7 Version 7.1.6 Version 7.1.5 Version 7.1.4 Version 7.1.3 Version 7.1.2 Version 7.1.1 Features Schemas (formerly collections) are now namespaced, allowing two or more schemas to contain a table with the same name; the native API will now accept <schema_name>.<table_name> references to tables & views Externally-managed data sources can be the source of both Tables and data load commands (LOAD INTO, /insert/records/fromfiles) Improved system & cluster monitoring capability Core Ring Resiliency (High Availability) is now integrated into the core of the product; a separate package & application suite is no longer needed As part of the namespaced schemas change, all top-level tables & views will be relocated to the home schema./7.2/release/7.2/Mon, 01 Jan 0001 00:00:00 +0000/7.2/release/7.2/Publish Date: 2024.02.11 Features Version 7.2.3 Version 7.2.2 Version 7.2.1 Features Unlimited String Support removes the limitations with unlimited-width strings that were present in prior versions; now, full support for: Scalar column functions Aggregate column functions Subqueries requiring a temporary view to be created SQL operations: JOIN WHERE GROUP BY ORDER BY EXCEPT INTERSECT UNION CREATE TABLE ... AS Array Type Scalar functions ARRAY_ITEM ARRAY_LENGTH ARRAY_LOWER ARRAY_NDIMS ARRAY_TO_STRING ARRAY_UPPER STRING_TO_ARRAY Aggregate functions ARRAY_AGG Table functions UNNEST_JSON_ARRAY JSON Type Scalar functions JSON_ARRAY JSON_ARRAY_APPEND JSON_ARRAY_CONTAINS JSON_CARDINALITY JSON_EXISTS JSON_KEYS JSON_LENGTH JSON_MAKE_ARRAY JSON_OBJECT JSON_PRETTY JSON_QUERY JSON_REPLACE JSON_TYPE JSON_VALUE Aggregate functions JSON_ARRAYAGG Table functions UNNEST_JSON_ARRAY Vector Type Column functions L1_NORM L2_NORM LINF_NORM LP_NORM NTH SIZE Search functions COSINE_DISTANCE DOT_PRODUCT EUCLIDEAN_DISTANCE L1_DISTANCE L2_DISTANCE L2_SQUAREDISTANCE L2_DISTSQ LINF_DISTANCE LP_DISTANCE Storage Optimization reduces size of data on disk by 50% Improved Performance in TPC-DS benchmarks versus previous versions Store-only column type is no longer supported, as it is no longer needed; VARCHAR columns marked as store-only in 7.