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    1.0.0 • Public • Published


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    1. new 64 bit x64 Linux now supported
    2. new use object based named params for proc calls - see WIKI
    3. pause/resume long running query
    4. built in connection pool
    5. sequelize support directly included
    6. supports input/output parameters.
    7. captures return code from stored procedure.
    8. will obtain meta data describing parameters.
    9. compatible with Node 10, 11, 12, 13, 14
    10. electron 5, 6, 7, 8, 9 and 10 supported.
    11. includes 64 bit/ia32 precompiled libraries.
    12. npm install with npm install msnodesqlv8
    13. bulk table operations insert, delete, update
    14. prepared statements
    15. table value parameters
    16. use with sequelize

    Node JS support for SQL server

    Based on node-sqlserver, this version will compile in Visual Studio 2017/2019 and is built against the v8 node module API using the NAN abstraction. Releases include pre-compiled binaries for both x64 and x86 targets for Node and Electron.

    This library only works with Node versions greater than 10.0.

    Linux (x64 only)

    if running on Linux, the odbc driver needs to be installed as outlined here ODBC 17. Please use version >= 17.5 which has been tested with this library. We are running test suite for Linux on AppVeyor which you can see via the badge at top of this page. Linux distros tested so far are Ubuntu 18.04, Alpine 3.12, Ubuntu 20.04, Debian 10.5, MacOS (see wiki) and Fedora 32. The driver also works under windows linux subsystem 2 (WLS).


    Install the package from npm:

    npm install msnodesqlv8 --save

    Getting started

    please see wiki for documentation.


    Require the module, and write a simple program link this:

    const sql = require("msnodesqlv8");
    const connectionString = "server=.;Database=Master;Trusted_Connection=Yes;Driver={SQL Server Native Client 11.0}";
    const query = "SELECT name FROM sys.databases";
    sql.query(connectionString, query, (err, rows) => {

    See our JavaScript sample app for more details.


    Typings are included in the package. Simply import the types you need, and require the module to get started:

    import { SqlClient } from "msnodesqlv8";
    const sql: SqlClient = require("msnodesqlv8");
    const connectionString = "server=.;Database=Master;Trusted_Connection=Yes;Driver={SQL Server Native Client 11.0}";
    const query = "SELECT name FROM sys.databases";
    sql.query(connectionString, query, (err, rows) => {

    See our TypeScript sample app for more details.


    Since this is a native module, you will likely need to run electron-rebuild to rebuild the module for your version of Electron.

    Please see wiki for getting started with electron boilerplate with React.


    If you are using Webpack for your application, you need to:

    1. Add the node-loader as a dev dependency.
    2. Update your webpack.config.js to include the following under module.rules:
            test: /\.node$/,
            use: 'node-loader'


    you can now submit queries through a native library connection pool. This pool creates a set of connections and queues work submitting items such that all connections are busy providing work exists. A keep alive is sent periodically to check connection integrity and idle connections beyond a threshold are closed and re-created when queries submitted at a later point in time. Queries can be cancelled and paused / resumed regardless of where they are in the work lifecycle

    examples can be seen here and here

    export interface PoolOptions {
        floor: number
        ceiling: number
        heartbeatSecs: number
        heartbeatSql: string
        inactivityTimeoutSecs: number
        connectionString: string
    const pool = new sql.Pool(options)

    the following example shows the pool being used.

    const sql = require('msnodesqlv8')
    const pool = new sql.Pool({
      connectionString: 'Driver={ODBC Driver 13 for SQL Server};Server=(localdb)\\node;Database=scratch;Trusted_Connection=yes;'
    pool.on('open', (options) => {
      console.log(`ready options = ${JSON.stringify(options, null, 4)}`)
    pool.on('debug', msg => {
      console.log(`\t\t\t\t\t\t${new Date().toLocaleTimeString()} <pool.debug> ${msg}`)
    pool.on('status', s => {
      console.log(`status = ${JSON.stringify(s, null, 4)}`)
    pool.on('error', e => {
    const testSql = 'waitfor delay \'00:00:10\';'
    function submit (sql) {
      const q = pool.query(sql)
      console.log(`send ${new Date().toLocaleTimeString()}, sql = ${sql}`)
      q.on('submitted', d => {
        console.log(`query submitted ${new Date().toLocaleTimeString()}, sql = ${d.query_str}`)
        q.on('done', () => console.log(`query done ${new Date().toLocaleTimeString()}`))
      return q
    for (let i = 0; i < 7; ++i) {
      const q = submit(testSql)
      switch (i) {
        case 5:
          console.log('cancel a query')
        case 6:
          setTimeout(() => {
            console.log('resume a paused query')
          }, 50000)
    setInterval(() => {
    }, 60000)

    Prepared Statements

    It is now possible to prepare one or more statements which can then be invoked over and over with different parameters. There are a few examples in the prepared unit tests. Please note that prepared statements must be closed as shown below when they are no longer required. Each prepared statement utilises server resources so the application should open and close appropriately.

    Prepared Statements can be useful when there is a requirement to run the same SQL with different parameters many times. This saves overhead from constantly submitting the same SQL to the server.

        function employeePrepare(done) {
        var query =
            `SELECT [ModifiedDate]
            FROM [scratch].[dbo].[Employee]
            WHERE BusinessEntityID = ?`;
        // open connection, function (err, conn) {
            // prepare a statement which can be re-used
            conn.prepare(query, function (e, ps) {
                // called back with a prepared statement
                // prepared query meta data avaialble to view
                // execute with expected paramater
                ps.preparedQuery([1], function(err, fetched) {
                    // can call again with new parameters.
                    // note - free the statement when no longer used,
                    // else resources will be leaked.

    Connect Timeout

    send in a connect object to pass a timeout to the driver for connect request

        function connect_timeout() {
            var co = {
                conn_str : connStr,
                conn_timeout : 2
            var start = new Date().getTime();
            console.log ('connect ' + start);
  , function(err, conn) {
                var end = new Date().getTime();
                var elapsed = end - start;
                console.log ('callback ..... ' + elapsed );
                if (err) {
                var ts = new Date().getTime();
                conn.query("declare @v time = ?; select @v as v", [sql.Time(ts)], function (err, res) {

    Query Timeout

    send in a query object such as that shown below to set a timeout for a particular query. Note usual semantics of using a sql string parameter will result in no timeout being set

            open(function(conn) {
                var queryObj = {
                    query_str : "waitfor delay \'00:00:10\';",
                    query_timeout : 2
                conn.query(queryObj, function (err, res) {
                    assert(err != null);
                    assert(err.message.indexOf('Query timeout expired') > 0)

    A timeout can also be used with a stored procedure call as follows :-

            function go() {
                var pm = c.procedureMgr();
                pm.callproc(sp_name, ['0:0:5'], function(err, results, output) {
                    assert(err != null);
                    assert(err.message.indexOf('Query timeout expired') > 0)

    User Binding Of Parameters

    In many cases letting the driver decide on the parameter type is sufficient. There are occasions however where more control is required. The API now includes some methods which explicitly set the type alongside the value. The driver will in this case use the type as provided. For example, to set column type as binary and pass in null value, use the sql.VarBinary as shown below. There are more examples in test harness file userbind.js.
, function(err, conn) {
             conn.query("declare @bin binary(4) = ?; select @bin as bin", [sql.VarBinary(null)], function (err, res) {
                 var expected = [ {
                     'bin' : null
                 assert.deepEqual(expected, res);

    Stored Procedure Support

    Included in this module is support for stored procedures in SQL server. Simple input/output parameters and return value can be bound.

    open a connection, and get an instance of procedureMgr

  , function (err, conn) {
                    var pm = conn.procedureMgr();
                    pm.callproc('my_proc', [10], function(err, results, output) {

    in above example a call is issued to the stored procedure my_proc which takes one input integer parameter. results will contain rows selected within the procedure and output parameters are inserted into output vector. Note the [0] element in output will be the return result of the procedure. If no return exists in the procedure, this value will be 0. Any further elements in the array will be output parameters populated by the execution of the procedure.

    Note the manager will issue a select to the database to obtain meta data about the procedure. This is cached by the manager. It is possible to obtain this information for inspection.

        pm.describe(name, function (meta) {
            pm.callproc('my_proc', [10], function (err, results, output) {

    meta will contain the parameter array associated with the procedure, the type, size and call signature required.

    the test folder includes some simple unit tests for stored procedures. If you discover any problems with using this new feature please include a simple example, preferably a unit test illustrating the issue. I will endeavour to fix the issue promptly.

    Further enhancements will be made to the library over the coming months - please leave feedback or suggestions for required features.

    Bulk Table Operations

    Bulk insert/delete/modify is now supported through a helper class. The underlying c++ driver will reserve vectors containing the column data and submit in bulk to the database which will reduce network overhead. It is possible to configure in the java script a batch size which will break the master vector of objects down into batches each of which is prepared and sent by the driver. Most of the effort for this update was spent in getting the c++ driver to work, the js API still needs a little refinement, so please use the feature and make suggestions for improvements.

    If issues are found, please provide the exact table definition being used and ideally a unit test illustrating the problem.

    take a look at the unit test file bulk.js to get an idea of how to use these new functions.

    once a connection is opened, first get the table manager :-

                var tm = c.tableMgr();
                tm.bind('Employee', cb);

    the table manager will fetch some meta data describing the table 'Employee' and make a callback providing a manager for that particular table :-

                function cb(bulkMgr) {
                  // bulkMgr is now ready to accept bulk operations for table 'Employee'
                  // see employee.json and employee.sql in test.
                  var parsedJSON = getJSON(); // see bulk.js
                  bulkMgr.insertRows(parsedJSON, insertDone);

    you can look at the signatures, columns and other interesting information by asking for a summary :-

                 var summary = bulkMgr.getSummary();

    by default the primary key of the table is assigned to the where condition for select which gives a convenient way of selecting a set of rows based on knowing the keys. Note this operation is not yet optimized with bulk fetch, which will be enhanced in the next update addressing cursors.

                 keys = [];
                         BusinessEntityID : 1  
                 bulkMgr.selectRows(keys, function(err, results) {
                     // results will contain the full object i.e. all columns,

    it is possible to change the where clause by using a different column signature - for example, LoginID

                var whereCols = [];
                    name : 'LoginID'
                // as above keys now needs to contain a vector of LoginID
                bulkMgr.selectRows(keys, bulkDone);

    Amends can be made to a sub set of columns, for example to bulk update the modified date, prepare a set of objects with the primary keys to satisfy the where clause and of course the column to be updated. By default all assignable columns are used for the update signature so the entire object would need to be presented. Where performance is within acceptable limits, this is probably the easiest pattern i.e. select the entire object, amend as required and commit the amended vector back to the database.

                    var newDate = new Date("2015-01-01T00:00:00.000Z");
                    var modifications = [];
                    parsedJSON.forEach(function(emp) {
                        emp.ModifiedDate = newDate;
                        modifications.push( {
                            BusinessEntityID : emp.BusinessEntityID,
                            ModifiedDate : newDate

    tell the bulkMgr which columns to use for the update and send in the modification :-

                    var updateCols = [];
                        name : 'ModifiedDate'
                    bulkMgr.updateRows(modifications, updateDone);

    the manager can also delete rows - the where clause is used in binding signature so by default this will be the primary key. Similar to the select examples above :-

                     bulkMgr.deleteRows(keys, function (err, res) {

    of course keys can be the original objects as fetched with select - the driver only needs all columns that satisfy the where condition of the signature.

    finally, to reset the signatures the summary can help :-

                     var summary = bulkMgr.getSummary();

    Further enhancements will be made to the library over the coming months - please leave feedback or suggestions for required features.

    Use with Sequelize

    This library now direct support for sequelize, up to v5, the popular JS ORM. For sequelize v4:

    const sequelize = new Sequelize({
      dialect: 'mssql',
      dialectModulePath: 'msnodesqlv8/lib/sequelize',
      dialectOptions: {
        connectionString: 'Driver={SQL Server Native Client 11.0};Server=(localdb)\\node;Database=scratch;Trusted_Connection=yes;',

    For sequelize v5:

    const sequelize = new Sequelize({
      dialect: 'mssql',
      dialectModule: require('./dialect-module'),
      bindParam: false,
      dialectOptions: {
        options: {
          connectionString: 'Driver={SQL Server Native Client 11.0};Server=(localdb)\\node;Database=scratch;Trusted_Connection=yes;',


    Pre-compiled binaries are provided for each release. If you are running a version of Node or Electron that a pre-compiled binary has not been provided for, you can build your own module using node-gyp.

    cd node_modules\msnodesqlv8


    Included are a few unit tests. They require mocha, async, and assert to be installed via npm install.

    The unit test suite uses the SQLLocalDB utility provided by SQL Server Express.

    To run the tests:

    1. Install SQL Server Express with the LocalDB option (it is not included in the default installation).
    2. From the command-line, run the following commands to create a SQL Server instance called "node":
    sqllocaldb create node
    sqllocaldb start node
    sqllocaldb info node
    1. Copy the "Instance pipe name" value from the output of sqllocaldb info node. The format will be like np:\\.\pipe\LOCALDB#<hash>\tsql\query.
    2. Open SQL Server Management Studio.
    3. In the "Connect to Server" dialog, paste the "Instance pipe name" you copied above and connect using "Windows Authentication".
    4. Create a new database, called scratch.

    You will now be able to run the tests using the following command:

    npm run test

    You must ensure the node SQLLocalDB instance is running before running the test command.

    Note if you wish to run the code through an IDE such as PHPStorm, the following fragment may help :-

        function runTest() {
        var mocha = new Mocha(
                ui : 'tdd'
        -- change path as required to unit test file, set breakpoint and run via IDE
    (failures) {
            process.on('exit', function () {

    Known Issues


    npm i @firstfleet/ffmsnodesqlv8

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