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- PIVOT Statement 13660
- The PIVOT statement allows distinct values within a column to be separated into their own columns. The values within those new columns are calculated using an aggregate function on the subset of rows that match each distinct value. DuckDB i
...00 8015 US New York City 2010 8175 US New York City 2020 8772 PIVOT ON and USING Use the PIVOT statement below to create a separate column for each year and calculate the total population in each. The ON clause specifies which column(s) to split into sep...olumns parameter in a spreadsheet pivot table. The USING clause determines how to aggregate the values that are split into separate columns. This is equivalent to the values parameter in a spreadsheet pivot table. If the USING clause is not included, it...ion) GROUP BY country; country 2000 2010 2020 NL 1005 1065 1158 US 8579 8783 9510 IN Filter for ON Clause To only create a separate column for specific values within a column in the ON clause, use an optional IN expression. Let's say for example that we... - https://man.mtool.work/duckdb/2.0/sql/statements/pivot.html
- UNPIVOT Statement 11235
- The UNPIVOT statement allows multiple columns to be stacked into fewer columns. In the basic case, multiple columns are stacked into two columns: a NAME column (which contains the name of the source column) and a VALUE column (which contain
...pivoted, but not completely stack all pivoted columns. To demonstrate this, the query below will generate a dataset with a separate column for the number of each month within the quarter (month 1, 2, or 3), and a separate row for each quarter. Since ther...pivoted, but not completely stack all pivoted columns. To demonstrate this, the query below will generate a dataset with a separate column for the number of each month within the quarter (month 1, 2, or 3), and a separate row for each quarter. Since ther... - https://man.mtool.work/duckdb/2.0/sql/statements/unpivot.html
- Concurrency 10422
- Handling Concurrency Single Process In in-process mode, DuckDB has two configurable options for concurrency: Read-write mode: one process can both read and write to the database. Read-only mode: multiple processes can read from the database
...writes will succeed. Appends will never conflict, even on the same table. Multiple threads can also simultaneously update separate tables or separate subsets of the same table. Optimistic concurrency control comes into play when two threads attempt to e... - https://man.mtool.work/duckdb/2.0/connect/concurrency.html
- Comparisons 10156
- Comparison Operators The table below shows the standard comparison operators. Whenever either of the input arguments is NULL , the output of the comparison is NULL . Operator Description Example Result < less than 2 < 3 true > greater than
...t collation on any input to BETWEEN applies to the entire BETWEEN expression. This can differ from writing the comparisons separately, where the explicit collation applies only to the comparison that contains it: SELECT 'B' NOT BETWEEN ('A' COLLATE NOCAS...E) AND 'a' AS between_result, 'B' < ('A' COLLATE NOCASE) OR 'B' > 'a' AS separate_result; between_result separate_result true false For the expression BETWEEN x AND y , x is used as the lower bound and y... - https://man.mtool.work/duckdb/2.0/sql/expressions/comparison_operators.html
- Release Cycle 9875
- This document outlines the DuckDB and core extension release cycle framework. It is intended for developers working on DuckDB extensions to better understand the underlying processes. Overview DuckDB follows Semantic Versioning ( v<MAJOR>.<
...te-only and will always be tied to the same commit The Main DuckDB Release Cycle LTS (Long-Term Support) releases follow a separate maintenance cycle to provide extended support and stability. The main DuckDB release cycle consists of 3 main phases: Mid-....0 instead Features for vx.<y+2>.0 are merged into main Main Extension Release Cycle Most DuckDB extensions are completely separate from the main duckdb/duckdb repository and are free to follow their own release cycle. In this section we categorize diffe...them binary compatible with multiple versions of DuckDB. This means that their release cycle can/should also be completely separate from the DuckDB release cycle. While the release cycle for stable API extensions is still work in progress, the basic idea... - https://man.mtool.work/duckdb/2.0/dev/release_cycle.html
- DuckDB Repositories 8811
- Several components of DuckDB are maintained in separate repositories. Main Repositories duckdb : core DuckDB project duckdb-web : documentation and blog duckdb-quack : Quack remote protocol Clients duckdb-go : Go client duckdb-java : Java (
... - https://man.mtool.work/duckdb/2.0/dev/repositories.html
- Beekeeper Studio SQL Editor 8811
- Beekeeper Studio is a free, open-source SQL editor and database manager with a modern, easy-to-use interface. It is available for Windows, macOS, and Linux, and also offers a paid Ultimate tier with cloud sync and team-sharing features. Bee
...keeper Studio connects to DuckDB natively rather than through a JDBC or ODBC driver, so no separate driver installation is required. Installing Beekeeper Studio Install Beekeeper Studio using the download links and instruc... - https://man.mtool.work/duckdb/2.0/guides/sql_editors/beekeeper_studio.html
- FILTER Clause 8530
- 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
...) OVER () AS rows FROM generate_series(1, 100_000_000) tbl(i) ) tbl; “Pivot” the data out by year (move each year out to a separate column): SELECT count(i) FILTER (year = 2022) AS "2022", count(i) FILTER (year = 2023) AS "2023", count(i) FILTER (year =...ction falls into this category, so FILTER is preferred in this case. “Pivot” the data out by year (move each year out to a separate column): SELECT first(i) FILTER (year = 2022) AS "2022", first(i) FILTER (year = 2023) AS "2023", first(i) FILTER (year =... - https://man.mtool.work/duckdb/2.0/sql/query_syntax/filter.html
- INSERT Statements 8264
- INSERT statements are the standard way of loading data into a relational database. When using INSERT statements, the values are supplied row-by-row. While simple, there is significant overhead involved in parsing and processing individual I
...o sync the changes made to disk to ensure no data is lost. In auto-commit mode every single statement will be wrapped in a separate transaction, meaning fsync will be called for every statement. This is typically unnecessary when bulk loading and will si... - https://man.mtool.work/duckdb/2.0/data/insert.html
- Statically Linking Extensions 8264
- 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
...ile target that merged everything into a single libduckdb_bundle.a . Extensions, httplib , and loadable extensions are now separate archives. The generated loader that libduckdb_static.a used to register extensions automatically. libduckdb_static.a no lo...BUILD_EXTENSIONS='core_functions;json;parquet;icu' GEN=ninja make Which of the built extensions are statically linked is a separate decision. By default the DuckDB targets link the extensions that the build configs mark for static linking, plus the ones... - https://man.mtool.work/duckdb/2.0/dev/building/linking_extensions.html
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