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- Data Chunks 11228
- Data chunks represent a horizontal slice of a table. They hold a number of vectors , that can each hold up to the VECTOR_SIZE rows. The vector size can be obtained through the duckdb_vector_size function and is configurable, but is usually
...t DuckDB uses natively to store and represent data. For this reason, the data chunk interface is the most efficient way of interfacing with DuckDB. Be aware, however, that correctly interfacing with DuckDB using the data chunk API does require knowledge of...k can then be filled with values and used in duckdb_append_data_chunk to write data to the database. The primary manner of interfacing with data chunks is by obtaining the internal vectors of the data chunk using the duckdb_data_chunk_get_vector method. Aft... - https://man.mtool.work/duckdb/2.0/clients/c/data_chunk.html
- PostgreSQL Compatibility 7485
- DuckDB's SQL dialect closely follows the conventions of the PostgreSQL dialect. The few exceptions to this are listed on this page. Floating-Point Arithmetic DuckDB and PostgreSQL handle floating-point arithmetic differently for division by
...greSQL only works if you never use quoted identifiers with different cases. For DuckDB, this behavior was problematic when interfacing with other tools (e.g., Parquet, Pandas) that are case-sensitive by default – since all identifiers would be lowercased al... - https://man.mtool.work/duckdb/2.0/sql/dialect/postgresql_compatibility.html
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