Label columns based on source tableSQL
Commonly, tables that are joined together have overlapping column names. This snippet will rename all columns to have a prefix based on the source table. No more duplicate names! This is similar to the Pandas join feature of lsuffix and rsuffix.
Execute this SQL
SELECT COLUMNS(t1.*) AS 't1_\0', COLUMNS(t2.*) AS 't2_\0' FROM range(10) t1 JOIN range(10) t2 ON t1.range = t2.range
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Generate series of numbers in DuckDB
DuckDB has two common ways to generate a series of numbers: the range() function and the generate_series() function. They differ only in that the generate_series() function has a 'stop' value that's inclusive, while the 'stop' value of range() is exclusive.
generate_series with inclusive stop valueSQL
// generate_series(start, stop, step) // get all even numbers, starting at 0 up to and including 100 SELECT * FROM generate_series(0,100,2);
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range with exclusive stop valueSQL
// range(start, stop, step) // get all even numbers, starting at 0 up to and including 98 SELECT * FROM range(0,100,2);
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Generate range() as arraySQL
// Using range() as a column value instead of a table // in your SQL statement will return an array of the // numbers in the range SELECT range(0,100,2)
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Run SQL file in DuckDB CLI
The DuckDB CLI enables you to execute a set of SQL statements stored in a file or passed in via STDIN. There are a few variants of this capability demonstrated below.
Read and execute SQL using init CLI argument and prompt for additional SQL statementsBash
# executes SQL in create.sql, and then prompts for additional # SQL statements provided interactively. note that when specifying # an init flag, the ~/.duckdbrc file is not read duckdb -init create.sql
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Read and execute SQL using init CLI argument and immediately exit Bash
# executes SQL in create.sql and then immediately exits # note that we're specifying a database name so that we # can access the created data later. note that when specifying # an init flag, the ~/.duckdbrc file is not read duckdb -init create.sql -no-stdin mydb.ddb
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Pipe SQL file to the DuckDB CLI and exitBash
duckdb < create.sql mydb.ddb
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Split strings into version numbers and order properSQL
This snippet takes version numbers that might contain arbitrary additional information and splits them into a list of integers, that one can sort like `sort -V` does.
Execute this SQL
SELECT v FROM VALUES ('1.10.0'), ('1.3.0'), ('1.13.0.RELEASE') f(v) ORDER BY list_transform(string_split(v, '.'), x -> TRY_CAST (x AS INTEGER)) ASC;
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