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- Reading Faulty CSV Files 11228
- CSV files can come in all shapes and forms, with some presenting many errors that make the process of cleanly reading them inherently difficult. To help users read these files, DuckDB supports detailed error messages, the ability to skip fa
...ulty lines and the possibility of storing faulty lines in a temporary table to assist users with a data cleaning step. Structural Errors DuckDB supports the detection and skipping of several different structural errors. In this section, we will go over...line pedro\xff\xff, 01-01-1992 would be problematic. Anatomy of a CSV Error By default, when performing a CSV read, if any structural errors are encountered, the scanner will immediately stop the scanning process and throw the error to the user. These erro...uto-detected or manually set by the user. Using the ignore_errors Option There are cases where CSV files may have multiple structural errors, and users simply wish to skip these and read the correct data. Reading erroneous CSV files is possible by utilizin... - https://man.mtool.work/duckdb/2.0/data/csv/reading_faulty_csv_files.html
- Types 7485
- DuckDB is a strongly typed database system. As such, every column has a single type specified. This type is constant over the entire column. That is to say, a column that is labeled as an INTEGER column will only contain INTEGER values. Duc
...the only way of reading data of certain types from a DuckDB result. For example, the duckdb_value functions do not support structural reading of composite types (lists or structs) or more complex types like enums or decimals. For more information about dat... - https://man.mtool.work/duckdb/2.0/clients/c/types.html
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