The Erlang Rethink Db Driver
The Erlang Rethink Db Driver, a new lease on life for Rethink in Erlang. A fork of Relang.
Contribute
I am new to the Erlang world and don't have the knowledge (yet) to fix this package properly, but hey I made a start.
I call upon all of you let's give Erlang the packages it deserves.
Start today by improving this one! Let's bombard
with Erlang. FFS.
What should happen
- Vast refactor
- Proper documentation
- YAGNI appoach towards the ReQl implementation.
- Use best practises
Change Feed
I managed to get Change Feeds working, the API is far from beautiful tough.
Documentation (from orginal project)
Please note this documentation contains errors. Further it has some grammar and vocabulary issues.
%% Creation conection
Connection = relang:connect("127.0.0.1")
relang:r(Connection, [{db_create, "db1}])
relang:r(Connection, [{db_list}])
relang:r(Connection, [{db, ["test"]}, {table_list}])
relang:r(Connection, [{db, ["test"]}, {table_create, ["t1"]}])
relang:r(Connection, [{db, ["test"]}, {table, ["t4"]}, {insert, ["{\"name\":\"vinh\",\"age\":27}"]}]).Ideally instead of chaining function like in Python, we put the query into a list of tuples. I want and I like chaining style but I don't know how to do that in Erlang.
Each of tuples of query includes one to 3 element:
{operation, argument, options}operation is the name that try to match official Python driver. Such as
{table_create, argument, options}
{insert, argument, options}
Argument list element can be anything, from tuple to function when the
anonymous function is passed.
Argument is a list, if you pass a tuple, the driver attempt to convert it to a list. How many items of the list is depends on how many item the operation accept.
Some special function has different syntax such as changefeed and filter because they are a bit different.
Cursor
some queries don't return all data. But only a partial of data. we can
iterator over the result set use a concept call cursor
{ok, {cursor, Cursor}, _} = relang:r(Connection, [[{db, ["test"]}, {table, ["t4"]}),next
next can works with a callback
relang:next(cursor, fun(V) -> io:format("Value ~p", [V] end))or a process
Pid = spawn(...)
relang:next(cursor, Pid)Changefeeds
relang:r(Connection, [[{db, ["test"]}, {table, ["t4"]}, {change, fun(Item) -> io:format(Item) end}).-
Limit: Only a
changecommand in the list
Filter and row
On the surface, filter looks like they are code that run on driver side, but actually they are serialized and pass to the server for evaluate.
Depend on driver, the syntax of using row with filter is different.
Here is how we do it in Erlang:
With exactly match.
l(relang). l(relang_ast). l(log).
relang:r(relang:connect("127.0.0.1"),
[ {db, [<<"test">>]},
{table, [<<"tv_shows">>]},
{filter, [
[{<<"age">>, 30},
{<<"name">>, <<"kurei">>},
{<<"show">>, 1}]
]}
]
).
It's not powerful enough so we come up With functional style
relang:r(relang:connect(),
[{db, [<<"test">>]}, {table, [<<"tv_shows">>]},
{filter, fun(X) ->
[
{'and', [
{gt, [{field, [X, <<"age">>]}, 22]},
{lt, [{field, [X, <<"age">>]}, 25]},
{match, [{field, [X, <<"name">>]}, <<"^k">>]}
]}
]
end}]
).
relang:r(C, [{db, [<<"test">>]}, {table,
[<<"tv_shows">>]}, {filter, fun(X) ->
[
{'and', [
{gt, [{field, [X, <<"age">>]}, 22]},
{lt, [{field, [X, <<"age">>]}, 25]}
]}
]
end}]).
# find user 22 -> 25 of age, name starts with `k`, and opt-in to `show`
relang:r(C, [{db, [<<"test">>]}, {table,
[<<"tv_shows">>]}, {filter, fun(X) ->
[
{'and', [
{gt, [{field, [X, <<"age">>]}, 22]},
{lt, [{field, [X, <<"age">>]}, 25]},
{match, [{field, [X, <<"name">>]}, <<"^k">>]},
{field, <<"show">>
]}
]
end}]).
l(relang). l(relang_ast). l(log).
relang:r(relang:connect("127.0.0.1"), [{db, [<<"test">>]}, {table,
[<<"tv_shows">>]}, {filter, fun(X) ->
[
{field, [X, <<"show">>]}
]
end}]).
Expr(WIP)
relang:r(Connection, [{expr(2)}]).API
relang:r(relang:connect("127.0.0.1"), [{now}]).Connect
C1 = relang:connect("127.0.0.1")Manipulating tables
table_create
relang:r(relang:connect(), [{table_create, geo}]).
% or with db
relang:r(relang:connect(), [{db, test}, {table_create, geo}]).table_drop
relang:r(relang:connect(), [{table_drop, geo}]).
% or with db
relang:r(relang:connect(), [{db, test}, {table_drop, geo}]).Selecting data
db
table
relang:r(C1, [{db, [<<"test">>]}, {table, <<"tv_shows">>}]).get
relang:r(C1, [{db, [<<"test">>]}, {table, <<"tv_shows">>}, {get, <<"primarykey">>]).Nested field
A ReQL document is a JSON object: a set of key-value pairs, in which each value might be a single value, a list of values, or another set of key-value pairs. When the value of a field contains more fields, we describe these as nested fields.
We access nested field, or indicate it by using a list, to denote a path.
relang:r(C1,
[
{db, [<<"test">>]},
{table, <<"user">>},
{get, [<<"primarykey">>, {field: []}]}
]
).filter
Reference filter below because they have a different syntax.
Joins
Inner joins
relang:r(relang:connect(),
[{db, [<<"foodb">>]},
{table, <<"tv_shows">>},
{eq_join,
[<<"compound_id">>,
[{db, [<<"foodb">>]}, {table, <<"compounds">>}]
]
}
]
).Equal join
Simple form, join use a column on left table whose value is equal to index on right table. Using primary index by default
relang:r(relang:connect(),
[{db, [<<"foodb">>]},
{table, <<"tv_shows">>},
{eq_join,
[<<"compound_id">>,
[{db, [<<"foodb">>]}, {table, <<"compounds">>}]
]
}
]
).Or using a secondary index
relang:r(relang:connect(),
[{db, [<<"foodb">>]},
{table, <<"tv_shows">>},
{eq_join,
[<<"compound_id">>,
[{db, [<<"foodb">>]}, {table, <<"compounds">>}]
],
[{<<"index">>, <<"different_index">>}]
}
]
).@TODO Or using function instead of string
l(relang). l(relang_ast). l(log).
relang:r(relang:connect(),
[{db, [<<"foodb">>]},
{table, <<"tv_shows">>},
{eq_join,
[
fun (X) ->
[
{field, {field, [X, <<"Parent">>]}, <<"Sub">>}
]
end,
[{table, <<"compounds">>}]
]
,
[{<<"index">>, <<"different_index">>}]
}
]
).More complex expression
l(relang). l(relang_ast). l(log).
relang:r(relang:connect(),
[{db, [<<"foodb">>]},
{table, <<"tv_shows">>},
{eq_join,
[
fun (X) ->
[
{field, {field, [X, <<"Parent">>]}, <<"Sub">>},
{nth, 20}
]
end,
[{table, <<"compounds">>}]
]
,
[{<<"index">>, <<"different_index">>}]
}
]
).zip
Using with eq_join
l(relang). l(relang_ast). l(log).
relang:r(relang:connect(),
[{db, [<<"foodb">>]},
{table, <<"compounds_foods">>},
{eq_join,
[<<"compound_id">>,
[{db, [<<"foodb">>]}, {table, <<"compounds">>}]
],
[{<<"index">>, <<"second_index">>}]
},
{zip}
]
).Or without index:
l(relang). l(relang_ast). l(log).
relang:r(relang:connect(),
[{db, [<<"foodb">>]},
{table, <<"compounds_foods">>},
{eq_join,
[<<"compound_id">>,
[{db, [<<"foodb">>]}, {table, <<"compounds">>}]
]
},
{zip}
]
).Transformation
nth
relang:r(relang:connect(),
[
{table, <<"tv_shows">>},
{nth, 120}
]
).Writing data
Insert
C1 = relang:connect("127.0.0.1")
relang:r(C1, [{db, [<<"test">>]}, {table, <<"tv_shows">>}, {insert, [[{<<"name">>, <<"kurei">>}, {<<"age">>, <<28>>}]]}])With nested field,
C1 = relang:connect("127.0.0.1")Update
relang:r(C1, [{db, [<<"test">>]}, {table, <<"tv_shows">>}, {get, <<"6b443331-d7c9-4304-867d-251db183446f">>}, {update, [[{<<"name">>, <<"kurei kain">>}, {<<"age">>, <<29>>}]]}])
% Or update with option
relang:r(C1,
[{db, [<<"test">>]},
{table, <<"tv_shows">>},
{get, <<"6b443331-d7c9-4304-867d-251db183446f">>},
{update,
[[{<<"name">>, <<"kurei kain">>},
{<<"age">>, <<29>>}]],
[{<<"durability">>, soft}, {return_changes, false}]
}
])
% Or update nested field
relang:r(relang:connect(),
[
{table, users},
{get, 10001},
{update, [
[
{contact, [{phone, [{cell, <<"408-555-4242">>}]}]}
]
]}
]
).
% Or update with function
relang:r(relang:connect(),
[
{table, posts},
{update,
fun(Post) ->
[{
views,
relang:r([
{field, [Post, views]},
{add, 100},
{default, 20}
])
}]
end
}
]).Aggregation
Count
relang:query(C, [ {db, [<<"test">>]}, {table, [<<"tv_shows">>]}, {count}]).Document manipulation
get_field
relang:r(C1,
[
{db, [<<"test">>]},
{table, <<"wall_posts">>},
{get, <<"primarykey">>},
{get_field, <<"field">>},
{get_field, <<"sub_field">>}
]).Or
relang:r(C1,
[
{db, [<<"test">>]},
{table, <<"wall_posts">>},
{get_field, <<"id">>}
]).keys
relang:r(relang:connect(),
[
{db, [<<"test">>]},
{table, <<"dummy">>},
{get, <<"7541a1ed-20ae-42f2-b7ea-73fbeb668d07">>},
{keys}
]).
%%
%% Ok {"t":1,"r":[["f","id"]],"n":[]}atom response{ok,[[<<"f">>,<<"id">>]]}object
relang:r(relang:connect(), [{object, [<<"k1">>, 1, <<"k2">>, 2]}]).Geospatial commands
circle
l(relang). l(relang_ast). l(log).
relang:r(relang:connect(), [{circle, [{-122.423246, 37.779388}, 1000]}]).distance
relang:r(relang:connect(),
[
{distance,
[
relang:r([{point, [-122.423246,37.779388]}]),
relang:r([{point, [-117.220406,32.719464]}])
],
[{unit, km}]
}
]).fill
Convert a Line object into a Polygon object. If the last point does not specify the same coordinates as the first point, polygon will close the polygon by connecting them.
Example: Create a line object and then convert it to a polygon.
relang:r(relang:connect(),
[
{table, geo},
{insert, [[
{id, 201},
{rectangle, relang:r([
{line, [
[-122.423246,37.779388],
[-122.423246,37.329898],
[-121.886420,37.329898],
[-121.886420,37.779388]
]}
])}
]]}
]
).
% Try to select it back, for fun :)
relang:r(relang:connect(),
[
{table, geo},
{get, 201}
]
).
% using fill to turn it into plolygon
l(relang). l(relang_ast). l(log).
relang:r(relang:connect(),
[
{table, geo},
{get, 201},
{update,
fun(Doc) ->
[{
rectangle,
relang:r([
{field, [Doc, rectangle]},
{fill}
])
}]
end,
[{non_atomic, true}]
}
]
).geojson
T = [{type,'Point'},
{coordinates, [ -122.423246, 37.779388 ]
}
].
relang:r(relang:connect(), [{geojson, T]).Another complex example:
l(relang). l(relang_ast). l(log).
T = [{type,'Point'},
{coordinates, [ -122.423246, 37.779388 ]
}
]
.
Q = [
{table, geo},
{insert, [[
{id, sfo},
{name, <<"San Francisco">>},
{location, relang:r([{geojson, T}])}
]]}
].
relang:r(relang:connect(), Q).to_geojson
get_intersecting
get_nearest
includes
intersects
line
relang:r([
{line,
[
[-122.423246,37.779388],
[-121.886420,37.329898]
]
}
]).or using in other expression:
relang:r(relang:connect(), [
{table, geo},
{insert, [[
{id, 101},
{route,
relang:r([
{line, [
[-122.423246,37.779388], [-121.886420,37.329898]
]}
])
}
]]}
]
).point
l(relang). l(relang_ast). l(log).
relang:r([{point, [-122.423246, 37.779388]}]).polygon
l(relang). l(relang_ast). l(log).
relang:r(relang:connect(), [{polygon,
[
[-122.423246,37.779388],
[-122.423246,37.329898],
[-121.886420,37.329898],
[-121.886420,37.779388]
]
}
]
).Or using in other expression
(relang). l(relang_ast). l(log).
relang:r(relang:connect(), [
{table, geo},
{insert, [[
{id, 101},
{rectangle, relang:r([{polygon,
[
[-122.423246,37.779388],
[-122.423246,37.329898],
[-121.886420,37.329898],
[-121.886420,37.779388]
]
}
])
}
]]}
]
).polygon_sub
Development
Make sure to use tcpdump during development for ReQL inspect
tcpdump -nl -w - -i lo0 -c 500 port 28015|stringsOnce compile, we can get into REPl
erl -pa ebin -pa deps/protobuffs/ebin deps/jsx/ebin