ClickHouse® is a free analytics DBMS for big data
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Updated
Apr 21, 2022 - C++
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ClickHouse® is a free analytics DBMS for big data
A modern Elasticity and Performance cloud data warehouse, activate your object storage for real-time analytics.
Use case:
Concatenate TEXT or to TEXT castable type values using a given separator, for example concatenate address parts by comma.
SELECT concat_ws(',', '535 Mission St.', '14th floor', 'San Francisco', 'CA', '94105') AS address;
--> 535 Mission St., 14th floor, San Francisco, CA 94105Feature description:
Add support for the `concat_ws ( sep text, val1 "any" [
An easy to use, self-service open BI reporting and BI dashboard platform.
Hey everyone!
mapd-core-cpu is already available on conda-forge (https://anaconda.org/conda-forge/omniscidb-cpu)
now we should add some instructions on the documentation.
at this moment it is available for linux and osx.
some additional information about the configuration:
omniscidb-cpu inside a conda environment (also it is a good practice), eg:
Now all implementation is included be/src/util/tdigest.h, which will make compile time some long.
Should split these file into header file and source file(be/src/util/tdigest.cpp).
Is your feature request related to a problem or challenge? Please describe what you are trying to do.
Currently, DataFusion creates column names by https://github.com/apache/arrow-datafusion/blob/7be0e268a69ffecbf06823c98ca572733dddb29e/datafusion/src/physical_plan/planner.rs#L91.
The approach has two existing problems:
RadonDB is an open source, cloud-native MySQL database for building global, scalable cloud services
Light-weight Python OLAP framework for multi-dimensional data analysis
Business Intelligence (BI) in Python, OLAP
A curated list of resources for graph databases and graph computing tools
Translate the README.md and README.en-US.md into English
What type of PR is this?
Which issue(s) this PR fixes:
issue #2095
What this PR does / why we need it:
Add cosh() built-in function
Special notes for your reviewer:
Not Available
**Additional documentation (e.g. design docs, usage do
An open-source columnar data format designed for fast & realtime analytic with big data.
Explore and visualize analytical datasets
columnar storage + NoSQL OLAP engine | https://logv.org
Another OLAP database
VectorSQL is a free analytics DBMS for IoT & Big Data, compatible with ClickHouse.
Flock: A Low-Cost Streaming Query Engine on FaaS Platforms
The metrics layer for your data. Join us at https://metriql.com/slack
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In Big Query there is a function array_concat_agg that aggregates array fields by concatenating the arrays. In Snowflake there is a flatten function that can unnest nested arrays into single array. I am looking for similar functionality in duckdb.
select flatten([[1, 2], [2, 3], [4, 5]]would return[1, 2, 2, 3, 4, 5]I would also need a distinct option:
`select flatten(DISTINCT [[1, 2],