The SELECT Pipeline
The SELECT
syntax
tries to represent a generic framework that is capable of expressing
many different types of queries. To achieve this, SELECT
has a large number of optional clauses, each with
its own set of options and formats.
The most general format of a standalone SQLite SELECT
statement looks like this:
SELECT [DISTINCT]select_heading
FROMsource_tables
WHEREfilter_expression
GROUP BYgrouping_expressions
HAVINGfilter_expression
ORDER BYordering_expressions
LIMITcount
OFFSETcount
Every SELECT
command
must have a select heading, which defines the returned values. Each
additional line (FROM
, WHERE
, GROUP
BY
, etc.) represents an optional clause.
Each clause represents a step in the SELECT
pipeline. Conceptually, the result of
a SELECT
statement is calculated by
generating a working table, and then passing that table through the
pipeline. Each step takes the working table as input, performs a specific
operation or manipulation, and passes the modified table on to the next
step. Manipulations operate the whole working table, similar to vector or
matrix operations.
Practically, the database engine takes a few shortcuts and makes plenty of optimizations when processing a query, but the end result should always match what you would get from independently going through each step, one at a time.
The clauses in a SELECT
statement are not evaluated in the same order they
are written. Rather, their evaluation order looks something like
this:
FROM
source_tables
Designates ...
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