DBInterface.execute(::SQLite.Stmt, ::DBInterface.StatementParams)
SQLite.load!
SQLite.DB
SQLite.Stmt
SQLite.bind!
SQLite.createtable!
SQLite.drop!
SQLite.dropindex!
SQLite.createindex!
SQLite.removeduplicates!
SQLite.tables
SQLite.columns
SQLite.indices
SQLite.enable_load_extension
SQLite.register
SQLite.@register
SQLite.@sr_str
SQLite.sqlreturn
SQLite.transaction
SQLite.commit
SQLite.rollback
SQLite provides syntax for calling
the regexp
function
from inside WHERE
clauses. Unfortunately, however, sqlite does not provide
a default implementation of the regexp
function. It can be easily added,
however, by calling SQLite.@register db SQLite.regexp
The function can be called in the following ways (examples using the Chinook Database)
julia> using SQLite
julia> db = SQLite.DB("Chinook_Sqlite.sqlite")
julia> # using SQLite's in-built syntax
julia> DBInterface.execute(db, "SELECT FirstName, LastName FROM Employee WHERE LastName REGEXP 'e(?=a)'") |> DataFrame
1x2 ResultSet
| Row | "FirstName" | "LastName" |
|-----|-------------|------------|
| 1 | "Jane" | "Peacock" |
julia> # explicitly calling the regexp() function
julia> DBInterface.execute(db, "SELECT * FROM Genre WHERE regexp('e[trs]', Name)") |> DataFrame
6x2 ResultSet
| Row | "GenreId" | "Name" |
|-----|-----------|----------------------|
| 1 | 3 | "Metal" |
| 2 | 4 | "Alternative & Punk" |
| 3 | 6 | "Blues" |
| 4 | 13 | "Heavy Metal" |
| 5 | 23 | "Alternative" |
| 6 | 25 | "Opera" |
julia> # you can even do strange things like this if you really want
julia> DBInterface.execute(db, "SELECT * FROM Genre ORDER BY GenreId LIMIT 2") |> DataFrame
2x2 ResultSet
| Row | "GenreId" | "Name" |
|-----|-----------|--------|
| 1 | 1 | "Rock" |
| 2 | 2 | "Jazz" |
julia> DBInterface.execute(db, "INSERT INTO Genre VALUES (regexp('^word', 'this is a string'), 'My Genre')") |> DataFrame
1x1 ResultSet
| Row | "Rows Affected" |
|-----|-----------------|
| 1 | 0 |
julia> DBInterface.execute(db, "SELECT * FROM Genre ORDER BY GenreId LIMIT 2") |> DataFrame
2x2 ResultSet
| Row | "GenreId" | "Name" |
|-----|-----------|------------|
| 1 | 0 | "My Genre" |
| 2 | 1 | "Rock" |
Due to the heavy use of escape characters,
you may run into problems where julia parses out some backslashes in your query,
for example "\y"
simply becomes "y"
.
For example, the following two queries are identical:
julia> DBInterface.execute(db, "SELECT * FROM MediaType WHERE Name REGEXP '-\d'") |> DataFrame
1x1 ResultSet
| Row | "Rows Affected" |
|-----|-----------------|
| 1 | 0 |
julia> DBInterface.execute(db, "SELECT * FROM MediaType WHERE Name REGEXP '-d'") |> DataFrame
1x1 ResultSet
| Row | "Rows Affected" |
|-----|-----------------|
| 1 | 0 |
This can be avoided in two ways. You can either escape each backslash yourself or you can use the raw"..." string literal. The previous query can then successfully be run like so:
julia> # manually escaping backslashes
julia> DBInterface.execute(db, "SELECT * FROM MediaType WHERE Name REGEXP '-\\d'") |> DataFrame
1x2 ResultSet
| Row | "MediaTypeId" | "Name" |
|-----|---------------|-------------------------------|
| 1 | 3 | "Protected MPEG-4 video file" |
julia> DBInterface.execute(db, raw"SELECT * FROM MediaType WHERE Name REGEXP '-\d'") |> DataFrame
1x2 ResultSet
| Row | "MediaTypeId" | "Name" |
|-----|---------------|-------------------------------|
| 1 | 3 | "Protected MPEG-4 video file" |
SQLite.jl also provides a way
that you can implement your own Scalar Functions.
This is done using the SQLite.register
function and macro.
SQLite.@register
takes a SQLite.DB
and a function.
The function can be in block syntax:
julia> SQLite.@register db function add3(x)
x + 3
end
inline function syntax:
julia> SQLite.@register db mult3(x) = 3 * x
and previously defined functions:
julia> SQLite.@register db sin
The SQLite.register
function takes optional arguments;
nargs
which defaults to -1
,
name
which defaults to the name of the function,
isdeterm
which defaults to true
.
In practice these rarely need to be used.
The SQLite.register
function uses the SQLite.sqlreturn
function
to return your function's return value to SQLite.
By default, sqlreturn
maps the returned value
to a native SQLite type
or, failing that, serializes the julia value and stores it as a BLOB
.
To change this behaviour simply define a new method for sqlreturn
which then calls a previously defined method for sqlreturn
.
Methods which map to native SQLite types are
sqlreturn(context, ::NullType)
sqlreturn(context, val::Int32)
sqlreturn(context, val::Int64)
sqlreturn(context, val::Float64)
sqlreturn(context, val::UTF16String)
sqlreturn(context, val::String)
sqlreturn(context, val::Any)
As an example,
say you would like BigInt
s to be stored as TEXT
rather than a BLOB
.
You would simply need to define the following method:
sqlreturn(context, val::BigInt) = sqlreturn(context, string(val))
Another example is the SQLite.sqlreturn
used by the regexp
function.
For regexp
to work correctly,
it must return it must return an Int
(more specifically a 0
or 1
)
but occursin
(used by regexp
) returns a Bool
.
For this reason the following method was defined:
sqlreturn(context, val::Bool) = sqlreturn(context, int(val))
Any new method defined for sqlreturn
must take two arguments
and must pass the first argument straight through as the first argument.
Using the SQLite.register
function,
you can also define your own aggregate functions with largely the same semantics.
The SQLite.register
function for aggregates must take a SQLite.DB
,
an initial value, a step function and a final function.
The first argument to the step function
will be the return value of the previous function
(or the initial value if it is the first iteration).
The final function must take a single argument
which will be the return value of the last step function.
julia> dsum(prev, cur) = prev + cur
julia> dsum(prev) = 2 * prev
julia> SQLite.register(db, 0, dsum, dsum)
If no name is given, the name of the first (step) function is used (in this case "dsum"). You can also use lambdas; the following does the same as the previous code snippet
julia> SQLite.register(db, 0, (p,c) -> p+c, p -> 2p, name="dsum")