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- Analyzing a Git Repository 12553
- You can use DuckDB to analyze Git logs using the output of the git log command . Exporting the Git Log We start by picking a character that doesn't occur in any part of the commit log (author names, messages, etc). Since version v1.2.0, Duc
...──┬───────┐ │ word │ count │ │ varchar │ int64 │ ├──────────┼───────┤ │ merge │ 12550 │ │ fix │ 6402 │ │ branch │ 6005 │ │ pull │ 5950 │ │ request │ 5945 │ │ add │ 5687 │ │ test │ 3801 │ │ master │ 3289 │ │ tests │ 2339 │ │ issue │ 1971 │ │ main │ 19...on │ 1088 │ ├──────────┴───────┤ │ 20 rows │ └──────────────────┘ As expected, there are many Git terms ( merge , branch , pull , etc.), followed by terminology related to development ( fix , test / tests , issue , format ). We also see the account n...ames of some developers ( mytherin , hawkfish ), which are likely there due to commit messages for merging pull requests (e.g., ”Merge pull request #13776 from Mytherin/expressiondepth” ). Finally, we also see some DuckDB-related term... - https://man.mtool.work/duckdb/2.0/guides/snippets/analyze_git_repository.html
- Statically Linking Extensions 10864
- This page is for client and binding authors, and for anyone who embeds libduckdb in their own application. It describes how statically linking extensions changed in DuckDB 2.0 and what builders on top of DuckDB need to do. This change is in
...e distributed as .tar.gz files instead of .zip files ( duckdb#24773 ). Reference Implementations for Clients The following pull requests adapt the official clients to the v2.0 linking model. They provide a path forward for anyone maintaining a bindin...g or an application that links libduckdb . Client Status Reference pull requests Python Migrated duckdb-python#634 Rust Migrated duckdb-rs#834 , duckdb-rs#839 , duckdb-rs#883 , duckdb-rs#835 Nod...b-node-neo#512 Go In progress duckdb-go-bindings#112 , duckdb-go-bindings#116 Wasm In progress duckdb-wasm#2281 The Python pull request is the clearest end-to-end example: it restores static linking of the default BUILD_EXTENSIONS set by calling duck... - https://man.mtool.work/duckdb/2.0/dev/building/linking_extensions.html
- Overview 10580
- How is DuckDB Tested? Testing is vital to make sure that DuckDB works properly and keeps working properly. For that reason, we put a large emphasis on thorough and frequent testing: * We run a batch of small tests on every commit using GitH
...ub Actions , and run a more exhaustive batch of tests on pull requests and commits in the main branch. * We use a fuzzer , which automatically reports issues found through fuzzing Duck... - https://man.mtool.work/duckdb/2.0/dev/sqllogictest/overview.html
- Building DuckDB from Source 10295
- When Should You Build DuckDB? DuckDB binaries are available for stable and preview builds on the installation page . In most cases, it's recommended to use these binaries. When you are running on an experimental platform (e.g., Raspberry Pi
...) or you would like to build the project for an unmerged pull request, you can build DuckDB from source based on the duckdb/duckdb repository hosted on GitHub . This page explains the...version (nightly build). In some circumstances, you may still want to build DuckDB from source, e.g., to test an unmerged pull request . For build instructions on these platforms, see: Linux macOS Windows Platforms with Partial Support There are sev... - https://man.mtool.work/duckdb/2.0/dev/building/overview.html
- Unofficial and Unsupported Platforms 8037
- Warning The platforms listed on this page are not officially supported. The build instructions are provided on a best-effort basis. Community contributions are very welcome. DuckDB is built and distributed for several platforms with differe
...vl256b' \ make For more reference information on DuckDB RISC-V cross-compiling, see the mocusez/duckdb-riscv-ci and DuckDB Pull Request #16549 . Known Issues Platform Reported Incorrectly As of version 1.5.2, DuckDB incorrectly reports the platform a... - https://man.mtool.work/duckdb/2.0/dev/building/unofficial_and_unsupported_platfo...
- marimo Notebooks 8037
- marimo is an open-source reactive notebook for Python and SQL that's tightly integrated with DuckDB's Python client, letting you mix and match Python and SQL in a single git-versionable notebook. Unlike traditional notebooks, when you run a
...the database, schemas, tables and columns in the Data Sources panel. This panel lets you quickly navigate your schemas to pull tables and columns into your SQL queries. Data Sources Panel Reference a Local Dataframe Reference a local dataframe in yo... - https://man.mtool.work/duckdb/2.0/guides/python/marimo.html
- Pivot Internals 8037
- PIVOT Pivoting is implemented as a combination of SQL query re-writing and a dedicated PhysicalPivot operator for higher performance. Each PIVOT is implemented as set of aggregations into lists and then the dedicated PhysicalPivot operator
...es FROM monthly_sales; Note the single quotes to build a list of text strings to populate month , and the double quotes to pull the column values for use in sales . This produces the same result as the initial example: empid dept month sales 1 electr... - https://man.mtool.work/duckdb/2.0/internals/pivot.html
- Crashes 7752
- DuckDB is thoroughly tested via an extensive test suite. However, bugs can still occur and these can sometimes lead to crashes. This page contains practical information on how to troubleshoot DuckDB crashes. Types of Crashes There are a few
...the problem, try using the preview build (also known as the “nightly build”). If you would like to use DuckDB with an open pull request applied to the codebase, you can try building it from source . Search for Existing Issues There is a chance that s... - https://man.mtool.work/duckdb/2.0/guides/troubleshooting/crashes.html
- Jupyter Notebooks 7468
- DuckDB's Python client can be used directly in Jupyter notebooks with no additional configuration, as the first section shows. Additional libraries can simplify SQL query development; the rest of this guide uses the JupySQL package. See oth
...examples query a Parquet file that contains historical taxi data from NYC. Using the Parquet format allows DuckDB to only pull the rows and columns into memory that are needed rather than downloading the entire file. DuckDB can be used to process lo... - https://man.mtool.work/duckdb/2.0/guides/python/jupyter.html
- Create Synthetic Data 7468
- DuckDB lets you quickly generate synthetic datasets by combining a few building blocks: functions and clauses that generate rows , functions that generate values to fill those rows, and extensions that generate whole benchmark datasets. Thi
...cutive plan fast body b… │ false │ │ 13540103502347468651 │ 2023-08-23 │ Specific author. │ Across cut market eight. Thing pull open spa… │ false │ │ 4800297459639118879 │ 2004-02-18 │ Beautiful learn. │ Upon common box beautiful. War check investm…... - https://man.mtool.work/duckdb/2.0/guides/snippets/create_synthetic_data.html
DuckDB 2.0 Documentation / man.mtool.work