Welcome to OmniSci Documentation
Learn how to use Immerse to gain new insights to your data with fast, responsive graphics and SQL queries.
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Learn how to extend OmniSci with an integrated data science foundation and custom charts and interfaces. Contribute to the OmniSci Core Open Source project.
Pymapd interface
- Ability to set annotations on New Combo charts for different dimension/measure combinations.
- New ‘Arrow-over-the-wire’ capability to deliver result sets in Apache Arrow format, with ~3x performance improvement over Thrift-based result set serialization.
- Support for concurrent SELECT and UPDATE/DELETE queries for single-node installations
- Initial OmniSci Render support for CPU-only query execution ("Query on CPU, render on GPU"), allowing for a wider set of deployment infrastructure choices.
- Cap metadata stored on previous states of a table by using MAX_ROLLBACK_EPOCHS, improving performance for streaming and small batch load use cases and modulating table size on disk
- Added initial compilation support for NVIDIA Ampere GPUs.
- Improved performance for UPDATE and DELETE queries.
- Improved the performance of filtered group-by queries on large-cardinality string columns.
- Added SQL function SAMPLE_RATIO, which takes a proportion between 0 and 1 as an input argument and filters rows to obtain a sampling of a dataset.
- Added support for exporting geo data in GeoJSON format.
- Dashboard filter functionality is expanded, and filters can be saved as views.
- You can perform bulk actions on the dashboard list.
- New UI Setting panel in Immerse for customizing charts.
- Tabbed dashboards.
- SQL Editor now handles Vega JSON requests.
- New Combo chart type in Immerse provides increased configurability and flexibility.
- Immerse chart-specific filters and quick filters add increased flexibility and speed.
- Updated Immerse Filter panel provides a Simple mode and Advanced mode for viewing and creating filters.
- On multilayer charts, layer visibility can be set by zoom level.
- Different map charts can be synced together for pan and zoom actions, regardless of data source.
- Array support for the Array type over JDBC.
- SELECT DISTINCT in UNION ALL is supported. (UNION ALL is prerelease and must be explicitly enabled.
- Support for joins on DECIMAL types.
- Performance improvements on CUDA GPUs, particularly Volta and Turing.
- NULL support for geospatial types, including in ALTER TABLE ADD COLUMN.
- Ability to perform updates and deletes on temporary tables.
- Updates to JDBC driver, including escape syntax handling for the fn keyword and added support to get table metadata.
- Notable performance improvements, particularly for join queries, projection queries with order by and/or limit, queries with scalar subqueries, and multicolumn group-by queries.
- Query interrupt capability improved to allow canceling long-running queries, also supports JDBC now.
- Database switching from within Immerse, as well as dashboard URLs that contain the database name.
- Over 50% reduction in load times for the dashboards list initial load and search.
- Cohort builder now supports count (# records) in aggregate filter.
- Improved error handling and more meaningful error messages.
- Custom logos can now be configured separately for light and dark themes.
- Logos can be configured to deep-link to a specific URL.
- Added support for UPDATE via JOIN with a subquery in the WHERE clause.
- Improved performance for multi-column GROUP BY queries, as well as single column GROUP BY queries with high cardinality. Performance improvement varies depending on data volume and available hardware, but most use cases can expect a 1.5 to 2x performance increase over OmniSciDB 5.0.
- Improved support for EXISTS and NOT EXISTS subqueries.
- Added support for LINESTRING, POLYGON, and MULTIPOLYGON in user defined functions.
- Immerse log-ins are fully sessionized and persist across page refreshes.
- New filter sets can be created through duplicating existing filter sets.
- The new filter panel in Immerse enables the ability to toggle filters on and off, and introduces Filter Sets to provide quick access to different sets of filters in one dashboard.
- Immerse now supports using global and cross-filters to interactively build cohorts of interest, and the ability to apply a cohort as a dashboard filter, either within the existing filter set or in a new filter set.
- Data Catalog, located within Data Import, is a repository of datasets that users can use to enhance existing analyses.
- To see these new features in action, please watch this video from Converge 2019, where Rachel Wang demonstrates how you can use them.
- Added support for binary dump and restore of database tables.
- Added support for compile-time registered user-defined functions in C++, and experimental support for runtime user-defined SQL functions and table functions in Python via the Remote Backend Compiler.
- Support for some forms of correlated subqueries.
- Support for update via subquery, to allow for updating a table based on calculations performed on another table.
- Multistep queries that generate large, intermediate result sets now execute up to 2.5x faster by leveraging new JIT code generator for reductions and optimized columnarization of intermediate query results.
- Frontend-rendered choropleths now support the selection of base map layers.
Last modified 2yr ago