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- Create Synthetic Data 12347
- 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
...4 │ Head keep face age. │ Stay different gun according make large read… │ true │ │ 16510940941872865459 │ 2006-07-30 │ Ten quickly expect. │ Early race claim. Middle economy box nor. An… │ true │ │ 13285076694688170502 │ 2018-02-19 │ Spring writer onto.... - https://man.mtool.work/duckdb/2.0/guides/snippets/create_synthetic_data.html
- SAMPLE Clause 11686
- The SAMPLE clause allows you to run the query on a sample from the base table. This can significantly speed up processing of queries, at the expense of accuracy in the result. Samples can also be used to quickly see a snapshot of the data w
... - https://man.mtool.work/duckdb/2.0/sql/query_syntax/sample.html
- DBeaver SQL IDE 9735
- DBeaver is a powerful and popular desktop SQL editor and integrated development environment (IDE). It has both an open source and enterprise version. DBeaver is useful for visually inspecting the available tables in DuckDB and for quickly b
... - https://man.mtool.work/duckdb/2.0/guides/sql_editors/dbeaver.html
- CLI Charting with YouPlot 9091
- DuckDB can be used with CLI graphing tools to quickly pipe input to stdout to graph your data in one line. YouPlot is a Ruby-based CLI tool for drawing visually pleasing plots on the terminal. It can accept input from other programs by pipi
... - https://man.mtool.work/duckdb/2.0/guides/data_viewers/youplot.html
- Guides 9091
- The guides section contains compact how-to guides that are focused on achieving a single goal. For API references and examples, see the rest of the documentation. Note that there are many tools using DuckDB, which are not covered in the off
...with huge databases Benchmarks Meta Queries How to list all tables How to view the schema of the result of a query How to quickly get a feel for a dataset using summarize How to view the query plan of a query How to profile a query How to inspect the D... - https://man.mtool.work/duckdb/2.0/guides/overview.html
- marimo Notebooks 9091
- 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
...rospects connections and displays 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 Ref... - https://man.mtool.work/duckdb/2.0/guides/python/marimo.html
- Full-Text Search 9091
- DuckDB supports full-text search via the fts extension . A full-text index allows for a query to quickly search for all occurrences of individual words within longer text strings. Example: Shakespeare Corpus Here's an example of building a
... - https://man.mtool.work/duckdb/2.0/guides/sql_features/full_text_search.html
- Timestamp Issues 9091
- Timestamp with Time Zone Promotion Casts Working with time zones in SQL can be quite confusing at times. For example, when filtering to a date range, one might try the following query: SET timezone = 'America/Los_Angeles'; CREATE TABLE time
...ATE::TIMESTAMPTZ, INTERVAL 1 HOUR) tbl(ts) ) parts; You can then join this ~700K row table against any timestamp column to quickly obtain the temporal bin values for the time zone in question. The inner casts are not required, but result in a smaller ta... - https://man.mtool.work/duckdb/2.0/guides/sql_features/timestamps.html
- SQL on Apache Arrow 8446
- DuckDB can query multiple different types of Apache Arrow objects. DuckDB pushes the filters of a query that it can translate, such as comparisons, into the scan of an Arrow dataset. Arrow tables, record batches, scanners and RecordBatchRea
...tions and filters down into an Arrow Dataset, but using Arrow compute operations instead. Arrow can use asynchronous IO to quickly access files. import duckdb import pyarrow as pa import tempfile import pyarrow.parquet as pq import pyarrow.dataset as ds... - https://man.mtool.work/duckdb/2.0/guides/python/sql_on_arrow.html
- Securing Extensions 8446
- DuckDB has a powerful extension mechanism, which has the same privileges as the user running DuckDB's (parent) process. This introduces security considerations. Therefore, we recommend reviewing the configuration options listed on this page
...GitHub stars and download count. Because we manage the repository, we can remove problematic extensions from distribution quickly. Despite this, installing and loading DuckDB extensions from the community extension repository will execute code written... - https://man.mtool.work/duckdb/2.0/operations_manual/securing_duckdb/securing_ext...
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