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- Expressions – DuckDB 13035
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.../ Expressions Copy Markdown Expressions An expression is a combination of values, operators and functions. Expressions are highly composable, and range from very simple to arbitrarily complex. They can be found in many different parts of SQL statements...Section 関連キーワード Expressions operators functions different Documentation Copy Markdown expression combination values highly composable range arbitrarily complex They found many parts statements section provide types used within 関連するページ Log... - https://man.mtool.work/duckdb/1.3/sql/expressions/overview.html
- Indexing – DuckDB 10842
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...ecause of index maintenance for these operations. For some use cases, single-column ART indexes improve the performance of highly selective queries using the indexed column. An ART index does not affect the performance of join, aggregation, and sorting...constraints, if these are necessary for enforcing constraints on your data. Do not define explicit indexes unless you have highly selective queries and enough memory available. If you define an ART index, do so after bulk loading the data to the table.... - https://man.mtool.work/duckdb/1.3/guides/performance/indexing.html
- Spatial Functions – DuckDB 10294
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...ers. This function uses the GeographicLib library, calculating the area using an ellipsoidal model of the earth. This is a highly accurate method for calculating the area of a polygon taking the curvature of the earth into account, but is also the slow...inverse geodesic problem , calculating the distance between two points using an ellipsoidal model of the earth. This is a highly accurate method for calculating the distance between two arbitrary points taking the curvature of the earths surface into...inverse geodesic problem , calculating the distance between two points using an ellipsoidal model of the earth. This is a highly accurate method for calculating the distance between two arbitrary points taking the curvature of the earths surface into... - https://man.mtool.work/duckdb/1.3/core_extensions/spatial/functions.html
- Jupyter Notebooks – DuckDB 10294
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...using Pandas and then use matplotlib or seaborn for plotting. This approach requires loading all data into memory which is highly inefficient. The plotting module in JupySQL runs computations in the SQL engine. This delegates memory management to the e...stance -- bins 10 -- with short_trips Summary You now have the ability to alternate between SQL and Pandas in a simple and highly performant way! You can plot massive datasets directly through the engine (avoiding both the download of the entire file a... - https://man.mtool.work/duckdb/1.3/guides/python/jupyter.html
- Querying Parquet Metadata – DuckDB 8101
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...key BLOB value BLOB Bloom Filters DuckDB supports Bloom filters for pruning the row groups that need to be read to answer highly selective queries. Currently, Bloom filters are supported for the following types: Integer types: TINYINT , UTINYINT , SMA... - https://man.mtool.work/duckdb/1.3/data/parquet/metadata.html
- Parquet Tips – DuckDB 8101
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...e as the number of CPU threads used to query that file. More row groups beyond the thread count would improve the speed of highly selective queries, but slow down queries that must scan the whole file like aggregations. To write a query to a Parquet fi... - https://man.mtool.work/duckdb/1.3/data/parquet/tips.html
- Describe – DuckDB 8101
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...ULL NULL cnt_damn_it_jim_quote BIGINT YES NULL NULL NULL cnt_im_givin_her_all_shes_got_quote BIGINT YES NULL NULL NULL cnt_highly_illogical_quote BIGINT YES NULL NULL NULL bool_enterprise_saved_the_day BIGINT YES NULL NULL NULL 関連キーワード column ta... - https://man.mtool.work/duckdb/1.3/guides/meta/describe.html
- Tuning Workloads – DuckDB 7552
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...ck in workloads reading remote files is likely to be the IO. This means that minimizing the unnecessarily read data can be highly beneficial. Some basic SQL tricks can help with this: Avoid SELECT * . Instead, only select columns that are actually used... - https://man.mtool.work/duckdb/1.3/guides/performance/how_to_tune_workloads.html
- Schema – DuckDB 7552
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...thout primary key then add primary key 242.0 s For this data set, primary keys will only have a (small) positive effect on highly selective queries such as when filtering on a single identifier. Definining primary keys (or indexes) will not have an eff... - https://man.mtool.work/duckdb/1.3/guides/performance/schema.html
- Timestamp Issues – DuckDB 7552
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...savings time past 2037. (Note: Pandas gives incorrect results past that year). The downside of using ICU is that it is not highly performant. One workaround for this is to create a calendar table for the timestamps being modeled. For example, if the ap... - https://man.mtool.work/duckdb/1.3/guides/sql_features/timestamps.html
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