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- Benchmarks 10901
- For several of the recommendations in our performance guide, we use microbenchmarks to back up our claims. For these benchmarks, we use datasets from the TPC-H benchmark and the LDBC Social Network Benchmark's BI workload . Datasets We use
...the LDBC BI SF300 dataset's Comment table (20 GB .tar.zst archive, 21 GB when decompressed into .csv.gz files), while others use the same table's creationDate column (4 GB .parquet file). The TPC datasets used in... - https://man.mtool.work/duckdb/2.0/guides/performance/benchmarks.html
- Advanced Installation Methods 10287
- Downloading Extensions Directly from S3 Downloading an extension directly can be helpful when building a Lambda service or container that uses DuckDB. DuckDB extensions are stored in public S3 buckets, but the directory structure of those b
...ckdb_extension file: INSTALL 'path/to/httpfs.duckdb_extension'; Note that compressed .duckdb_extension.gz files need to be decompressed beforehand. It is also possible to specify remote paths. Loading an Extension from an Explicit Path LOAD can be used with... - https://man.mtool.work/duckdb/2.0/extensions/advanced_installation_methods.html
- File Formats 6678
- Handling Parquet Files DuckDB has advanced support for Parquet files, which includes directly querying Parquet files . When deciding on whether to query these files directly or to first load them to the database, you need to consider severa
...Load time Load from GZIP-compressed CSV files ( .csv.gz ) 107.1 s Decompressing (using parallel gunzip ) and loading from decompressed CSV files 121.3 s Loading Many Small CSV Files The CSV reader runs the CSV sniffer on all files. For many small files, thi... - https://man.mtool.work/duckdb/2.0/guides/performance/file_formats.html
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