Coan-Teen, the female death spirit who walks without feet.
Cassandra CQL3 client for Clojure wrapping datastax/java-driver.
- Built on an extremely solid base, datastax/java-driver, based on the new CQL native protocol
- Simple API with a minimal learning curve
- Great performance
- Provides an optional versatile CQL3+ DSL, Hayt
- Support for Raw queries, Prepared Statements or Hayt queries
- Can do both Synchronous and Asynchronous query execution
- Async interfaces using either clojure/core.async , simple callbacks or manifold
- Support for all of datastax/java-driver advanced options: jmx, auth, SSL, compression, consistency, custom executors, custom routing and more
- Support and sugar for query tracing, metrics, retry policies, load balancing policies, reconnection policies and UUIDs generation
- Extensible Clojure data types support & clojure.core/ex-data integration
- Lazy and potentialy chunked sequences over queries
- Controled pages and rows streaming via core.async channels and manifold streams
- First class support for cassandra collections, User defined types, that includes nesting.
- Lazy row decoding by default, but also optional cheap user controled decoding via IReduce
 Astra DB Use Clojure with DataStax Astra DB - built on Apache Cassandra. |
Please check the Changelog first if you are upgrading. Alia runs on Clojure >= 1.7 (we're using IReduceInit internally)
Add the following to your dependencies:
This would include all the codec extensions and extra libraries.
But the better thing to do is to pick and choose what you really need from alia's modules:
-
cc.qbits/alia Main module with all the basic alia functions (required).
-
cc.qbits/alia-async: core.async interface: query as streamed rows over channel, query as promise-chan
-
cc.qbits/alia-manifold: Manifold interface: query as streamed rows over manifold stream, query as deferred, etc
-
cc.qbits/alia-java-legacy-time: Codec for java legacy time types.
-
cc.qbits/alia-joda-time: Codec for joda-time types.
-
cc.qbits/alia-spec: clojure.spec for alia
-
cc.qbits/alia-component: Component integration for alia
If you wish to use Hayt you need to add it to your dependencies
Then require/use qbits.hayt and you're good to go.
codox generated documentation.
Simple query execution using alia with hayt would look like this:
(execute session (select :users
(where {:name :foo})
(columns :bar "baz")))But first things first: here is an example of a complete session using raw queries.
(require '[qbits.alia :as alia])
(def session (alia/session {:session-keyspace "alia"
:contact-points ["localhost:9042"]
:load-balancing-local-datacenter "Analytics"}))Example of a complete session using plain text auth.
(require '[qbits.alia :as alia])
(def session (alia/session {:session-keyspace "alia"
:contact-points ["localhost:9042"]
:load-balancing-local-datacenter "Analytics"
:auth-provider-user-name "user-name"
:auth-provider-password "password"
:auth-provider-class "PlainTextAuthProvider"}))Sessions are separate so that you can interact with multiple keyspaces from the same cluster definition.
(def session (alia/connect cluster))
(alia/execute session "CREATE KEYSPACE alia
WITH replication = {'class': 'SimpleStrategy', 'replication_factor' : 3};") (alia/execute session "CREATE TABLE users (user_name varchar,
first_name varchar,
last_name varchar,
auuid uuid,
birth_year bigint,
created timestamp,
valid boolean,
emails set<text>,
tags list<bigint>,
amap map<varchar, bigint>,
PRIMARY KEY (user_name));")
(alia/execute session "INSERT INTO users
(user_name, first_name, last_name, emails, birth_year, amap, tags, auuid,valid)
VALUES('frodo', 'Frodo', 'Baggins',
{'f@baggins.com', 'baggins@gmail.com'}, 1,
{'foo': 1, 'bar': 2}, [4, 5, 6],
1f84b56b-5481-4ee4-8236-8a3831ee5892, true);")
;; prepared statement with positional parameter(s)
(def prepared-statement (alia/prepare session "select * from users where user_name=?;"))
(alia/execute session prepared-statement {:values ["frodo"]})
>> ({:created nil,
:last_name "Baggins",
:emails #{"baggins@gmail.com" "f@baggins.com"},
:tags [4 5 6],
:first_name "Frodo",
:amap {"foo" 1, "bar" 2},
:auuid #uuid "1f84b56b-5481-4ee4-8236-8a3831ee5892",
:valid true,
:birth_year 1,
:user_name "frodo"})
;; prepared statement with named parameter(s)
(def prepared-statement (alia/prepare session "select * from users where user_name= :name limit :lmt;"))
(alia/execute session prepared-statement {:values {:name "frodo" :lmt (int 1)}})
There are currently 3 interfaces to use the asynchronous methods of
the underlying driver, the fundamental one being a simple
CompletableFuture API, and then two alternative streaming APIs
built with core.async and manifold
@(execute-async session "select * from users;")
qbits.alia.async/execute-chan has the same signature as the other execute
functions and returns a clojure/core.async channel of rows, or an exception instance.
The channel supports backpressure, controlled by buffer-sizes and as rows are consumed from the channel more rows will be fetched to fill any buffers.
Once you run it you have a couple of options to pull data from it.
- using
clojure.core.async/take!which takes the channel as first argument and a callback as second:
(take! (execute-chan session "select * from users;")
(fn [rows-or-exception]
(do-something rows)))- using
clojure.core.async/<!!to block and pull the rows/exception from the channel.
(def rows-or-exception (<!! (execute-chan session "select * from users;")))- using
clojure.core.async/mergeyou can run a list of queries in parallel and have the results fed to a single output chan:
(let [merged (async/merge [(alia/execute-chan session (select :foo))
(alia/execute-chan session (select :bar))
(alia/execute-chan session (select :baz))])]
(go
(loop []
(when-let [result (<! merged)]
(println result)
(recur)))))qbits.alia.async/execute returns a promise-chan with just the first
page of results
qbits.alia.async/execute-chan-pages returns a channel of pages of results,
also supporting backpressure. The page objects are constructed by the
:result-set-fn option.
qbits.alia.manifold/execute-stream has the same signature as other execute
functions and resturns a manifold stream of rows, or an exception instance
As with core.async, the stream supports backpressure and as rows are take!en
from the stream, more rows will be fetched according to available buffers.
qbits.alia.manifold/execute returns a Deferred with just the first page of
results
qbits.alia.manifold/execute-stream-pages returns a stream of pages of
results, supporting backpressure. The page objects are constructed by the
:result-set-fn option.
And it can do a lot more! Head to the codox generated documentation.
There is a nicer way to write your queries using Hayt, this should be familiar if you know Korma or ClojureQL. One of the major difference is that Hayt doesn't use macros and just generates maps, so if you need to compose clauses or queries together you can just use the clojure.core functions that work on maps.
Some examples:
(use 'qbits.hayt)
(select :foo (where {:bar 2}))
;; this generates a map
>> {:select :foo :where {:bar 2}}
(update :foo
(set-columns {:bar 1
:baz (inc-by 2)}
(where [[= :foo :bar]
[> :moo 3]
[> :meh 4]
[:in :baz [5 6 7]]]))
;; Composability using normal map manipulation functions
(def base (select :foo (where {:foo 1})))
(merge base
(columns :bar :baz)
(where {:bar 2})
(order-by [:bar :asc])
(using :ttl 10000))
;; To compile the queries just use ->raw
(->raw (select :foo))
> "SELECT * FROM foo;"
Alia supports hayt query direct execution, if you pass a non-compiled
query to execute or execute-async, it will be compiled and cached on a LU cache with a threshold of
100 (the cache function is user settable), so to be used carefully. The same is true with prepare.
Ex
(execute session (select :users (where {:name :foo})))It covers everything that is possible with CQL3 (functions, handling of collection types and their operations, ddl, prepared statements, etc). If you want to know more about it head to its codox documentation or Hayt's tests.
If you wish to support the work on this project you can do this here: patreon
Alia has a mailing list hosted on Google Groups. Do not hesitate to ask your questions there.
Copyright © 2013-2020 Max Penet, mccraigmccraig
Distributed under the Eclipse Public License, the same as Clojure.