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COALESCE function
Summary
Category: Conditional Functions
Syntax:
COALESCE( <expr1> , <expr2> [ , ... , <exprN> ] )
Example:
SELECT COALESCE(NULL, NULL, NULL, 'databend.com', NULL, 'snow.com');
databend.com
Reference:
https://docs.snowflake.com/en/sql-reference/functions/coalesce.html
Use case:
Get the total duration over many events. Something like select sum(age(ended, started)) from myevents or select sum(ended - started) from myevents - depending on crate/crate#12479
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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:
- for now, always install
omniscidb-cpuinside a conda environment (also it is a good practice), eg:
Refactoring request
Rename the namespace starrocks::vectorized to starrocks for codes under be/src/storage.
Is your feature request related to a problem or challenge? Please describe what you are trying to do.
From discussion in apache/arrow-datafusion#2690 (comment)
What about only showing the projection when there is one and ommiting it when there are none.
This could remove the None/Some too:
TableScan a projection=[col1,col2]
vs
Ta
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Search before asking
- I had searched in the issues and found no similar optimization requirement.
Description
Translate the README.md and README.en-US.md into English
Are you willing to submit a PR?
- Yes I am willing to submit a PR!
Code of Conduct
- I agree to follow this project's [Code of Conduct](h
Is there an existing issue for the same feature request?
- I have checked the existing issues.
Is your feature request related to a problem?
Several showcase SQL requires the support of this function:
select DATE_FORMAT(b.measurement_time,'%Y-%m-%d')
select DATE_FORMAT(FROM_UNIXTIME(tm.create_time), %Y%m%d)Describe the feature you'd like
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If we find distinct value statistics is very small compared with row counts, we can use RLE encoding when building RowSets.
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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],