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SUMMARIZE Not Implemented Error (TIMETZ) #17115
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If this happens in the CLI it has nothing to do with pandas. But I may have messed something up when adding more statistics for temporal types. |
Yeah I did - the TIMETZ code was never tested and doesn't work. The problem is in |
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* Merge with AVG test. fixes: duckdb#17115 fixes: duckdblabs/duckdb-internal#4669
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* Fix implementation to actually work... * Add tests. fixes: #17115 fixes: duckdblabs/duckdb-internal#4669
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* Fix implementation to actually work... * Add tests. fixes: duckdb#17115 fixes: duckdblabs/duckdb-internal#4669
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* Merge with AVG test. fixes: duckdb#17115 fixes: duckdblabs/duckdb-internal#4669
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* Fix implementation to actually work... * Add tests. fixes: duckdb#17115 fixes: duckdblabs/duckdb-internal#4669
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* Fix implementation to actually work... * Add tests. fixes: duckdb#17115 fixes: duckdblabs/duckdb-internal#4669
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Issue duckdb/duckdb#17115: TimeTZ Approximate Quantile (duckdb/duckdb#17162)
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Issue duckdb/duckdb#17115: TimeTZ Approximate Quantile (duckdb/duckdb#17162)
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Issue duckdb/duckdb#17115: TimeTZ Approximate Quantile (duckdb/duckdb#17162)
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What happens?
Appears that SUMMARIZE doesn't handle TIMETZ data and generates the following error:
Additionally, when working with a Jupyter notebook trying to query the table, results in
which initially made me think there was an error with the table but after some digging:
Per @soerenwolfers discussion here
If possible, it would be nice to have the pandas related error inform the user that this is due to pandas and perhaps provide a possible workaround.
To Reproduce
Using the CLI:
Gives:
Using python (example only):
OS:
x86_64
DuckDB Version:
1.2.2
DuckDB Client:
CLI and python
Hardware:
No response
Full Name:
Dwayne McMurchy
Affiliation:
n/a
What is the latest build you tested with? If possible, we recommend testing with the latest nightly build.
I have not tested with any build
Did you include all relevant data sets for reproducing the issue?
Yes
Did you include all code required to reproduce the issue?
Did you include all relevant configuration (e.g., CPU architecture, Python version, Linux distribution) to reproduce the issue?
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