CassanKnex

A fully tested Apache Cassandra CQL query builder with support for the DataStax NodeJS driver, written in the spirit of Knex for CQL 3.x.

Installation

npm install cassanknex

Index

• Why CassanKnex
• Usage
  • Generating Queries
  • Executing Queries
  • Bring Your Own Driver
  • Quick Start
  • Debugging Queries
  • Query Executors (Examples)
    • exec
    • eachRow
    • stream
    • batch
  • Query Commands (Examples)
    • Rows
    • Column Families
    • Keyspaces
  • Query Modifiers
    • Rows
    • Column Families
    • Keyspaces
  • Utility Methods
• ChangeLog
• Releasing to NPM

Why (what's in a name)

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.

Usage

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:

As a query generator

Compiled CQL statements can be retrieved at any time via the cql method.

var cassanKnex = require("cassanknex")(<DRIVER_OPTIONS|undefined>);
var qb = cassanKnex(KEYSPACE).QUERY_COMMAND()
          .QUERY_MODIFIER_1()
          .
          .
          .QUERY_MODIFIER_N();

var cql = qb.cql(); // get the cql statement

Where KEYSPACE is the name of the relevant keyspace and QUERY_COMMAND and QUERY_MODIFIER are among the list of available Query Commands and Query Modifiers.

<DRIVER_OPTIONS> may be provided to configure the client, and is an object w/ the following optional fields:

• connection: <InitializedDatastaxDriverInstance> or <DatastaxConnectionArguments> The client will use an initialized datastax driver instance if provied (either the Cassandra driver or DSE driver will work). Alternatively, you can provide arguments that will be forwarded to the underlying Cassandra driver instance. Default is 'undefined'
• debug: boolean Toggle debug logs (see debugging). Default is false
• awsKeyspace: boolean Toggle when using aws managed keyspaces. Will disable prepared statements on DDL statements. Default is false

As a query executor

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); batch queries may be executed via the batch method (again, a pass through to the DataStax driver's own batch method).

You may provide your own driver or use the included DataStax driver.

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(KEYSPACE).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);

  // Invoke the batch method to process multiple requests
  cassanKnex().batch([qb, qb], function(err, res) {
    // do something w/ your response
  });
});

Bring your own Driver

While the package includes the vanilla Cassandra driver (supported by Datastax), and will use that driver to connect to your cluster if you provide a connection configuration, you may optionally provide your own initialized driver to the cassaknex constructor. This allows for using either the DSE driver or a different version of the Cassandra driver, per your applications needs.

e.g., w/ the built in cassandra-driver:

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) {...});

or, using a custom dse-driver connection:

// create a new dse-driver connection
var dse = require("dse-driver");
var dseClient = new dse.Client({
  contactPoints: ["10.0.0.2"],
  queryOptions: {
    prepare: true
  },
  socketOptions: {
    readTimeout: 0
  },
  profiles: []
});

// initialize dse-driver connection
dseClient.connect(function (err) {
  if (err) {
    console.log("Error initializing dse-driver", err);
  }
  else {
    // provide connection to cassanknex constructor
    var cassanKnex = require("cassanknex")({
      connection: dseClient,
      debug: false
    });

    cassanKnex.on("ready", function (err) {
      // ...
    });
  }
});

Quickstart

var cassanKnex = require("cassanknex")({
  connection: { // default is 'undefined'
    contactPoints: ["10.0.0.2"]
  },
  exec: { // default is '{}'
    prepare: false // default is 'true'
  },
  awsKeyspace: false // default is 'false'
});

cassanKnex.on("ready", function (err) {

  if (err)
    console.error("Error Connecting to Cassandra Cluster", err);
  else {
    console.log("Cassandra Connected");

  var qb("keyspace").select("id", "foo", "bar", "baz")
    .ttl("foo")
    .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",ttl("foo") FROM "keyspace"."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);

    });
  }
});

Debugging

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:

1. _queryPhases:

• An array showing the state of the query string at each step of it's compilation.

2. _methodStack:

• An array showing the methods called throughout the modification lifespan of the query object. You'll notice that the 'compiling' method is called after each modification in this stack, that's due to re-compiling the query statement (and pushing the result into _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',
  _exec: {},
  _execPrepare: true,
  _keyspace: 'cassanKnexy',
  _columnFamily: 'columnFamily',
  _methodStack:
   [ 'insert',
     'usingTimestamp',
     'insert',
     'usingTTL',
     'insert',
     'into',
     'insert',
     '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 ?;',
     '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.

Query Executors

All methods take an optional options object as the first argument in the call signature; if provided, the options will be passed through to the corresponding cassandra-driver call.

exec

• execute a query and return the response via a callback:

var item = {
  foo: "bar",
  bar: ["foo", "baz"]
};
var qb = cassanKnex("cassanKnexy")
  .insert(item)
  .into("columnFamily")
  .exec(function(err, result) {
    // do something w/ your err/result
  });

  // w/ options
  qb.exec({ prepare: false }, function(err, result) {
     // do something w/ your err/result
   });

eachRow

• execute a query and invoke a callback as each row is received:

var rowCallback = function (n, row) {
    // Readable is emitted as soon a row is received and parsed
  }
  , errorCallback = function (err) {
    // Something went wrong: err is a response error from Cassandra
  };

var qb = cassanKnex("cassanKnexy")
  .select()
  .from("columnFamily");

// Invoke the eachRow method
qb.eachRow(rowCallback, errorCallback);

stream

• execute a query and stream each row as it is received:

var onReadable = function () {
    // Readable is emitted as soon a row is received and parsed
    var row;
    while (row = this.read()) {
      // do something w/ your row
    }
  }
  , onEnd = function () {
    // Stream ended, there aren't any more rows
  }
  , onError = function (err) {
    // Something went wrong: err is a response error from Cassandra
  };

var qb = cassanKnex("cassanKnexy")
  .select()
  .from("columnFamily");

// Invoke the stream method
qb.stream({
  "readable": onReadable,
  "end": onEnd,
  "error": onError
});

batch

• execute a batch of cassanknex queries in a single batch statement:

var qb1 = cassanKnex("cassanKnexy")
  .insert({foo: "is bar"})
  .usingTimestamp(250000)
  .usingTTL(50000)
  .into("columnFamily");

var qb2 = cassanKnex("cassanKnexy")
  .insert({bar: "is foo"})
  .usingTimestamp(250000)
  .usingTTL(50000)
  .into("columnFamily");

// w/o options
cassanKnex().batch([qb1, qb2], function(err, res) {
    // do something w/ your err/result
});

// w/ options
cassanKnex().batch({prepare: true}, [qb1, qb2], function(err, res) {
    // do something w/ your err/result
});

Query Commands

For standard (row) queries:

• insert - compile an insert query string

      var qb = cassanKnex("cassanKnexy")
        , values = {
          "id": "foo"
          , "bar": "baz"
          , "baz": ["foo", "bar"]
        };
      qb.insert(values)
        .usingTimestamp(250000)
        .usingTTL(50000)
        .into("columnFamily");
  
      // => INSERT INTO cassanKnexy.columnFamily (id,bar,baz)
      //      VALUES (?, ?, ?)
      //      USING TIMESTAMP ?
      //      AND USING TTL ?;

• select - compile a select OR select as query string

  • select all columns for a given query:

    var qb = cassanKnex("cassanKnexy");
    qb.select("id", "foo", "bar", "baz")
      .ttl("foo")
      .where("id", "=", "1")
      .orWhere("id", "in", ["2", "3"])
      .orWhere("baz", "=", "bar")
      .andWhere("foo", "IN", ["baz", "bar"])
      .limitPerPartition(10)
      .from("columnFamily");
    
    // => SELECT "id","foo","bar","baz",ttl("foo") FROM "cassanKnexy"."columnFamily"
    //      WHERE "id" = ?
    //      OR "id" in (?, ?)
    //      OR "baz" = ?
    //      AND "foo" IN (?, ?)
    //      PER PARTITION LIMIT ?;

  • 'select as' specified columns:

    var qb = cassanKnex("cassanKnexy");
    qb.select({id: "foo"})
      .ttl({id: "fooTTL"})
      .limit(10)
      .from("columnFamily");
    
    // => SELECT "id" AS "foo",ttl("id") AS "fooTTL" FROM "cassanKnexy"."columnFamily" LIMIT ?;

• update - compile an update query string

  • simple set column values:

    var qb = cassanKnex("cassanKnexy");
    qb.update("columnFamily")
      .set("bar", "foo")
      .set("foo", "bar")
      .where("foo[bar]", "=", "baz")
      .where("id", "in", ["1", "1", "2", "3", "5"]);
  
    // => UPDATE cassanKnexy.columnFamily
    //      SET bar = ?,foo = ?
    //      WHERE foo[bar] = ?
    //      AND id in (?, ?, ?, ?, ?);

  set column values using object parameters:

  var qb = cassanKnex("cassanKnexy");
  qb.update("columnFamily")
    .set({
      "bar": "baz",
      "foo": ["bar", "baz"]
    })
    .where("foo[bar]", "=", "baz")
    .where("id", "in", ["1", "1", "2", "3", "5"]);
  
  // => UPDATE cassanKnexy.columnFamily
  //      SET bar = ?,foo = ?
  //      WHERE foo[bar] = ?
  //      AND id in (?, ?, ?, ?, ?);

  • add or remove from map or list:

  var qb = cassanKnex("cassanKnexy");
  qb.update("columnFamily")
    .add("bar", {"foo": "baz"}) // "bar" is a map
    .remove("foo", ["bar"]) // "foo" is a set
    .where("id", "=", 1);
  
  // => UPDATE cassanKnexy.columnFamily
  //      SET "bar" = "bar" + ?,
  //          "foo" = "foo" - ?;
  //      WHERE id = ?;

  or w/ object notation:

  var qb = cassanKnex("cassanKnexy");
  qb.update("columnFamily")
    .add({
      "bar": {"baz": "foo"}, // "bar" is a map
      "foo": ["baz"] // "foo" is a set
    })
    .remove({
      "bar": ["foo"], // "bar" is a map
      "foo": ["bar"] // "foo" is a set
    })
    .where("id", "=", 1);

  • increment or decrement counter columns:

  var qb = cassanKnex("cassanKnexy");
  qb.update("columnFamily")
    .increment("bar", 5) // incr by 5
    .increment("baz", 7) // incr by 7
    .decrement("foo", 9) // decr by 9
    .decrement("bop", 11) // decr by 11
    .where("id", "=", 1);
  
  // => UPDATE cassanKnexy.columnFamily
  //      SET "bar" = "bar" + ?,
  //          "baz" = "baz" + ?,
  //          "foo" = "foo" - ?;
  //      WHERE id = ?;

  or w/ object notation:

  var qb = cassanKnex("cassanKnexy");
  qb.update("columnFamily")
    .increment({"bar": 5, "baz": 7})
    .decrement({"foo": 9, "bop": 11})
    .where("id", "=", 1);

• delete - compile a delete query string

  • delete all columns for a given row:

      var qb = cassanknex("cassanKnexy");
      qb.delete()
        .from("columnFamily")
        .where("foo[bar]", "=", "baz")
        .where("id", "in", ["1", "1", "2", "3", "5"]);
    
      // => DELETE  FROM cassanKnexy.columnFamily
      //      WHERE foo[bar] = ?
      //      AND id in (?, ?, ?, ?, ?);

  • delete specified columns for a given row:

      var qb = cassanknex("cassanKnexy");
      qb.delete(["foo", "bar"])
      // OR
      qb.delete("foo", "bar")
    
        .from("columnFamily")
        .where("foo[bar]", "=", "baz")
        .where("id", "in", ["1", "1", "2", "3", "5"]);
    
      // => DELETE foo,bar FROM cassanKnexy.columnFamily
      //      WHERE foo[bar] = ?
      //      AND id in (?, ?, ?, ?, ?);

For column family queries:

• alterColumnFamily
• createColumnFamily
• createColumnFamilyIfNotExists
• createIndex
• createIndexCustom
• createType
• createTypeIfNotExists
• dropColumnFamily
• dropColumnFamilyIfExists
• dropType
• dropTypeIfExists
• truncate

For keyspace queries:

• alterKeyspace
• createKeyspace
• createKeyspaceIfNotExists
• dropKeyspace
• dropKeyspaceIfExists

Query Modifiers

For standard (row) queries:

• from
• into
• where
• andWhere
• orWhere
• tokenWhere
• minTimeuuidWhere
• maxTimeuuidWhere
• set
• add
• remove
• increment
• decrement
• if
• ifExists
• ifNotExists
• usingTTL
• usingTimestamp
• limit
• limitPerPartition
• orderBy
• ttl
• count
• writetime
• dateOf
• unixTimestampOf
• toDate
• toTimestamp
• toUnixTimestamp

For column family queries:

• alter
• drop
• rename
• primary
• list
• set
• decimal
• boolean
• blob
• timestamp
• inet
• bigint
• counter
• double
• int
• float
• map
• ascii
• text
• timeuuid
• uuid
• varchar
• frozen
• frozenSet
• frozenMap
• with
• withCaching
• withCompression
• withCompaction
• withClusteringOrderBy
• withOptions

For keyspace queries:

• withSingleRegionStrategy
• withNetworkTopologyStrategy
• withSimpleStrategy
• withDurableWrites

Utility Methods

• getClient, returns the Datastax Cassandra Driver in use.

var cassanKnex = require("cassanknex")({
  connection: {
    contactPoints: ["10.0.0.2"]
  }
});

cassanKnex.on("ready", function (err) {

  if (err)
    console.error("Error Connecting to Cassandra Cluster", err);
  else {
    console.log("Cassandra Connected");

    // get the Cassandra Driver
    var client = cassanKnex.getClient();
  }
});

• getDriver, returns the raw Datastax Cassandra Driver dependency module.

var cassanKnex = require("cassanknex")();

// get the Cassandra Driver
var driver = cassanKnex.getDriver();

ChangeLog

• 2.0.2
  • Upgrades to dependency versions.
• 2.0.1
  • Major version upgrade of mocha dev dependency from 6.2.0 to 9.2.2
• 2.0.0
  • Major version upgrade of cassandra-driver dependency from v3 to v4
• 1.21.1
  • Upgrades to dependency versions.
• 1.21.0
  • Added support for managed Aws Keyspaces when cassanknex is initialized with awsKeyspace
  • Added Single Region Replication Strategy for Aws Keyspaces
• 1.20.5
  • Upgrades to dependency versions.
• 1.20.4
  • Upgrades to dependency versions.
• 1.20.3
  • Changes to test framework per 61.
  • Upgrades to all dependency versions.
• 1.20.2
  • Upgrade lodash per CVE-2019-10744
• 1.20.1
  • Update dependencies.
• 1.20.0
  • Add QueryModifier with for column family statements.
• 1.19.0 (@dekelev is killing it w/ new features 👍)
  • Add where clause QueryModifiers minTimeuuidWhere and maxTimeuuidWhere, and aggregation QueryModifiers dateOf, unixTimestampOf, toDate, toTimestamp, toUnixTimestamp per #48.
• 1.18.0 (Special thanks to @dekelev for these contributions)
  • Update project library dependencies per #42.
  • Fix issue when using both the usingTimestamp & usingTTL query modifiers per #43.
  • Add writetime query modifier per #44.
  • Add tokenWhere query modifier per #45.
• 1.17.0
  • Add Date type for column family compilation.
• 1.16.0
  • Add QueryModifier count, per issue #30.
  • Update DataStax Driver module from 3.1.6 to 3.2.2.
• 1.15.0
  • Add bring-your-own-driver support.
  • Allow supplying clustered columns via array input in the createColumnFamily primary annotation, per issue #35.
• 1.14.0
  • Add QueryModifiers withOptions, limitPerPartition, ttl, add and remove, increment and decrement.
  • Add QueryCommand createIndexCustom.
  • Update DataStax Driver module from 3.1.5 to 3.1.6.
• 1.13.1
  • Update DataStax Driver module from 3.1.1 to 3.1.5.
• 1.13.0
  • Add if (for update), ifExists (for update), and ifNotExists (for insert) per PR #28.
• 1.12.1
  • Update DataStax Driver module from 2.2.2 to 3.1.1.
• 1.12.0
  • Add getDriver method to allow retrieving the raw DataStax Driver module from cassanknex per issue #25.
  • Update DataStax Driver module from 2.2.1 to 2.2.2.
• 1.11.0
  • Add getClient method to allow retrieving the Cassandra Driver instance from cassanknex.
• 1.10.1
  • Patch invalid error response when executing commands via an uninitialized Cassandra client.
• 1.10.0
  • Add QueryModifier orderBy for standard queries.
• 1.9.0
  • Add truncate functionality.
• 1.8.0
  • Add batch execution functionality per the specifications laid out in issue #19.
• 1.7.1
  • Wrap all keyspace, column family, and column names in double quotes to preserve case per issue #14.
  • Fix frozen set statement compilation per issue #16.
  • Fix frozen list statement compilation per issue #17.
• 1.7.0
  • Add QueryCommands createType/IfNotExists and dropType/IfExists.
  • Add QueryModifiers frozen/Set/Map/List.
  • 1.7.0 features added per issue #10.
• 1.6.0
  • Add options support for eachRow per issue #8.
• 1.5.1, 1.5.2
  • OMG DOCS!
• 1.5.0
  • Add QueryCommand delete.
• 1.4.0
  • Add support for object style set calls; e.g. .set(<Object := {<String>: <Mixed>, ...}>).
• 1.3.0
  • Add support for the DataStax driver eachRow method.
• 1.2.0
  • Add support for the DataStax driver stream method.
• 1.1.0
  • Add QueryCommand createIndex.
  • Add QueryModifier allowFiltering.

Releasing To NPM

All CICD logic is managed by CircleCI via the configuration in the .circleci/ directory.

This configuration will automatically package and publish a new version to NPM when an appropriate Github Release is created.

So, to publish a new version, simply create a new Github Release whose name matches the current release version (i.e., v1.20.5).