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FILTER Clause 12726
The FILTER clause may optionally follow an aggregate function in a SELECT statement. This will filter the rows of data that are fed into the aggregate function in the same way that a WHERE clause filters rows, but localized to the specific ... n where the goal is to simply re-orient the data into columns rather than re-aggregate it. For list and array_agg , FILTER excludes rows that do not satisfy its condition, whereas a CASE WHEN expression can contribute NULL placeholders for those rows. Ho ... resulting list. Here the first expression keeps the NULL value because y is true for that row, while the second explicitly excludes null values from x : SELECT list(x) FILTER (WHERE y) AS selected_rows, list(x) FILTER (WHERE x IS NOT NULL) AS non_null_va ...
https://man.mtool.work/duckdb/2.0/sql/query_syntax/filter.html
NULL Values 11036
NULL values are special values that are used to represent missing data in SQL. Columns of any type can contain NULL values. Logically, a NULL value can be seen as “the value of this field is unknown”. A NULL value can be inserted to any fie ... : first , last , list and array_agg . To exclude NULL values from these results, use a FILTER clause with a predicate that excludes the relevant null rows, such as list(x) FILTER (WHERE x IS NOT NULL) . A different filter predicate does not remove NULL v ...
https://man.mtool.work/duckdb/2.0/sql/data_types/nulls.html
Querying Parquet Metadata 9347
Parquet Metadata The parquet_metadata function can be used to query the metadata contained within a Parquet file, which reveals various internal details of the Parquet file such as the statistics of the different columns. This can be useful ... Bloom filter. For example: FROM parquet_bloom_probe('my_file.parquet', 'my_col', 500); file_name row_group_id bloom_filter_excludes my_file.parquet 0 true ... ... ... my_file.parquet 9 false ...
https://man.mtool.work/duckdb/2.0/data/parquet/metadata.html
Python 8789
The DuckDB Python package has its own repository at duckdb/duckdb-python and uses nanobind 3 to create Python bindings with DuckDB. Prerequisites This guide assumes: You have a full clone of the DuckDB Python package source, including its g ... evelopment Workflow Running Tests Run all tests: uv run --no-build-isolation pytest ./tests --verbose Run fast tests only (excludes slow directory): uv run --no-build-isolation pytest ./tests --verbose --ignore=./tests/slow Test Coverage Build with cover ...
https://man.mtool.work/duckdb/2.0/dev/building/python.html
Create Synthetic Data 8789
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 ... a synthetic dataset: SELECT i FROM range(1, 4) t(i); ┌───────┐ │ i │ │ int64 │ ├───────┤ │ 1 │ │ 2 │ │ 3 │ └───────┘ range excludes the stop value, while generate_series includes it. VALUES The VALUES clause generates rows from literal tuples, which is c ...
https://man.mtool.work/duckdb/2.0/guides/snippets/create_synthetic_data.html
Loading JSON 8232
The DuckDB JSON reader can automatically infer which configuration flags to use by analyzing the JSON file. This will work correctly in most situations, and should be the first option attempted. In rare situations where the JSON reader cann ... tle VARCHAR YES NULL NULL NULL completed BOOLEAN YES NULL NULL NULL If we specify types for a subset of columns, read_json excludes columns that we don't specify: SELECT * FROM read_json( 'todos.json', columns = {userId: 'UBIGINT', completed: 'BOOLEAN'} ...
https://man.mtool.work/duckdb/2.0/data/json/loading_json.html
Logging 8232
DuckDB implements a logging mechanism that provides users with detailed information about events such as query execution, performance metrics and system events. Warning Logs may contain sensitive information, including secrets and credentia ... h already includes warnings, so calling enable_logging() without a level also captures warnings. Setting level = 'warning' excludes lower-severity INFO messages. Note Switching the CLI to a log storage other than shell_log_storage means that warnings are ...
https://man.mtool.work/duckdb/2.0/operations_manual/logging/overview.html
Window Functions 7100
DuckDB supports window functions , which can use multiple rows to calculate a value for each row. Window functions are blocking operators , i.e., they require their entire input to be buffered, making them one of the most memory-intensive o ... trast, all aggregate window functions (except for list and its aliases, which retain NULL values unless a FILTER condition excludes those rows, e.g., list(x) FILTER (WHERE x IS NOT NULL) ) ignore nulls and do not accept RESPECT NULLS . For example, sum(c ...
https://man.mtool.work/duckdb/2.0/sql/functions/window_functions.html
Aggregate Functions 6542
Examples Produce a single row containing the sum of the amount column: SELECT sum(amount) FROM sales; Produce one row per unique region, containing the sum of amount for each group: SELECT region, sum(amount) FROM sales GROUP BY region; Ret ... LL s, except for list ( array_agg ), first ( arbitrary ) and last . To exclude NULL s from list , use a FILTER clause that excludes rows with null input, such as list(x) FILTER (WHERE x IS NOT NULL) . A filter on another column may still leave NULL value ...
https://man.mtool.work/duckdb/2.0/sql/functions/aggregates.html
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