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cassanknex
Advanced tools
An Apache Cassandra CQL query builder with support for the DataStax NodeJS driver, written in the spirit of Knex.
An Apache Cassandra CQL query builder with support for the DataStax NodeJS driver, written in the spirit of Knex for CQL 3.1.x.
CQL was purposefully designed to be SQL-esq to enhance ease of access for those familiar w/ relational databases while Knex is the canonical NodeJS query builder for SQL dialects; however, even given the lexical similarities, the difference between the usage of CQL vs SQL is significant enough that adding CQL as yet another Knex SQL dialect does not make sense. Thus, CassanKnex.
CassanKnex can be used to execute queries against a Cassandra cluster via cassandra-driver
(the official DataStax NodeJS driver) or as a simple CQL statement generator via the following relative instantiations:
Compiled CQL statements can be retrieved at any time via the cql
method.
var cassanKnex = require("cassanknex")();
var qb = cassanKnex.QUERY_COMMAND()
.QUERY_MODIFIER_1()
.
.
.QUERY_MODIFIER_N();
var cql = qb.cql(); // get the cql statement
Where QUERY_COMMAND
and QUERY_MODIFIER
are among the list of available Query Commands and Query Modifiers.
Execution of a given query is performed by invoking either the exec
, stream
or eachRow
methods
(which are straight pass throughs to the DataStax driver's execute
, stream
and eachRow
methods, respectively).
var cassanKnex = require("cassanknex")({
connection: {
contactPoints: ["LIST OF CONNECTION POINTS"]
}
});
cassanKnex.on("ready", function (err) {
if (err)
console.error("Error Connecting to Cassandra Cluster", err);
else
console.log("Cassandra Connected");
var qb = cassanKnex.QUERY_COMMAND()
.QUERY_MODIFIER_1()
.
.
.QUERY_MODIFIER_N();
// pass through to the underlying DataStax nodejs-driver 'execute' method
qb.exec(function(err, res) {
// do something w/ your query response
});
// OR pass through to the underlying DataStax nodejs-driver 'stream' method
var onReadable = function () {
// Readable is emitted as soon a row is received and parsed
var row;
while (row = this.read()) {
console.log(row);
// do something w/ the row response
}
}
, onEnd = function () {
// Stream ended, there aren't any more rows
console.log("query finished");
}
, onError = function (err) {
// Something went wrong: err is a response error from Cassandra
console.log("query error", err);
};
// Invoke the stream method
qb.stream({
"readable": onReadable,
"end": onEnd,
"error": onError
});
// OR pass through to the underlying DataStax nodejs-driver 'eachRow' method
var rowCallback = function (n, row) {
// The callback will be invoked per each row as soon as they are received
console.log(row);
// do something w/ the row response
}
, errorCb = function (err) {
// Something went wrong: err is a response error from Cassandra
console.log("query error", err);
};
// Invoke the eachRow method
qb.eachRow(rowCallback, errorCb);
});
var cassanKnex = require("cassanknex")({
connection: { // default is 'undefined'
contactPoints: ["10.0.0.2"]
},
exec: { // default is '{}'
prepare: false // default is 'true'
}
});
cassanKnex.on("ready", function (err) {
if (err)
console.error("Error Connecting to Cassandra Cluster", err);
else {
console.log("Cassandra Connected");
var qb.select("id", "foo", "bar", "baz")
.where("id", "=", "1")
.orWhere("id", "in", ["2", "3"])
.orWhere("baz", "=", "bar")
.andWhere("foo", "IN", ["baz", "bar"])
.limit(10)
.from("table")
.exec(function(err, res) {
// executes query :
// "SELECT id,foo,bar,baz FROM cassanKnexy.table
// WHERE id = ? OR id in (?, ?)
// OR baz = ? AND foo IN (?, ?)
// LIMIT 10;"
// with bindings array : [ '1', '2', '3', 'bar', 'baz', 'bar' ]
if (err)
console.error("error", err);
else
console.log("res", res);
});
}
});
To enable debug
mode pass { debug: true }
into the CassanKnex require
statement, e.g.
var cassanKnex = require("cassanknex")({ debug: true });
When debug
is enabled the query object will be logged upon execution,
and you'll receive two informational components provided to ease the act of debugging:
_queryPhases
:_methodStack
:_queryPhases
) at each step, when debug == false
the _cql
query statement and accompanying _bindings
array are not created until either qb.cql()
or qb.exec()
are called.So you'll see something akin to the following insert
statement upon invoking either qb.cql()
or qb.exec()
:
var values = {
"id": "foo"
, "bar": "baz"
, "baz": ["foo", "bar"]
};
var qb = cassanknex("cassanKnexy");
qb.insert(values)
.usingTimestamp(250000)
.usingTTL(50000)
.into("columnFamily")
.cql();
// =>
{ _debug: true,
_dialect: 'cql',
_keyspace: 'cassanKnexy',
_columnFamily: 'columnFamily',
_component: 'query',
_methodStack:
[ 'insert',
'usingTimestamp',
'insert',
'usingTTL',
'insert',
'table',
'insert' ],
_queryPhases:
[ 'INSERT INTO (id,bar,baz) VALUES (?, ?, ?);',
'INSERT INTO (id,bar,baz) VALUES (?, ?, ?) USING TIMESTAMP ?;',
'INSERT INTO (id,bar,baz) VALUES (?, ?, ?) USING TIMESTAMP ? AND USING TTL ?;',
'INSERT INTO cassanKnexy.columnFamily (id,bar,baz) VALUES (?, ?, ?) USING TIMESTAMP ? AND USING TTL ?;' ],
_cql: 'INSERT INTO cassanKnexy.columnFamily (id,bar,baz) VALUES (?, ?, ?) USING TIMESTAMP ? AND USING TTL ?;',
_bindings: [ 'foo', 'baz', [ 'foo', 'bar' ], 250000, 50000 ],
_statements:
[ { grouping: 'compiling', type: 'insert', value: [Object] },
{ grouping: 'using', type: 'usingTimestamp', val: 250000 },
{ grouping: 'using', type: 'usingTTL', val: 50000 } ],
... }
While fuller documentation for all methods is in the works, the test files provide thorough examples as to method usage.
delete
.set
calls; e.g. .set(<Object := {<String>: <Mixed>, ...}>)
.eachRow
method.stream
method.createIndex
.allowFiltering
.FAQs
An Apache Cassandra CQL query builder with support for the DataStax NodeJS driver, written in the spirit of Knex.
The npm package cassanknex receives a total of 406 weekly downloads. As such, cassanknex popularity was classified as not popular.
We found that cassanknex demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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