Begin Profiling Rework to move towards Modularity #10935
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…to fast and slow test
* Fix function naming to match the project style * Optimize some uhugeint bit operations * Drop the unnecessary numeric_cast header and associated pragmas
…ions-to-spark-api [Python] Add some numeric and string functions to spark API
[ODBC] Allow multiple statements to be executed using SQLExecDirect
[CSV Reader] Apply projection on over buffer values.
Python: use short paths for Windows
Fix duckdb#10752: Add support for Parquet encryption on Windows
…-compliant [Python] Code Quality - PEP8 Compliant + only relevant imports
[CI] Add patch argument to patch the extension's sources before building
fix(jdbc): support fractional seconds in getTime
Fix duckdb#11071 - correctly report progress when scanning multiple Parquet files
Add ipv6 inet + minor fixes
# Conflicts: # src/include/duckdb/main/database_manager.hpp # src/main/database_manager.cpp
This reverts commit 6d9e9a3.
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Waiting for #11082 to be merged so CI passes |
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Had to open a new PR due to some git problems -> #11101 |
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This PR introduces a new pragma
custom_profiling_settingswhich accepts a path to a JSON file. The file can be used to turn on or off profiling settings when the profiling mode is set to JSON (PRAGMA enable_profiling = 'json';). If the pragma is not set, all profiling information will be included.Currently, the settings are as follows:
An example of a custom profiling settings JSON file:
{ "cpu_time":"true", "operator_cardinality":"true", }The plan is to expand this feature to be able to include more settings in the future, as well as a new function in the C API that returns an object with the profiling information.