tedious | Node TDS module for connecting to SQL Server | Runtime Evironment library
kandi X-RAY | tedious Summary
kandi X-RAY | tedious Summary
Tedious is a pure-Javascript implementation of the TDS protocol, which is used to interact with instances of Microsoft's SQL Server. It is intended to be a fairly slim implementation of the protocol, with not too much additional functionality. Previous behavior can be restored using config.options.enableAnsiNullDefault = false. See pull request 230. See the changelog for version history.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of tedious
tedious Key Features
tedious Examples and Code Snippets
Lines of Code : 135License : Strong Copyleft (CC BY-SA 4.0)
Copy async sync(options) {
// ...
// no models defined, just authenticate
if (!models.length) {
await this.authenticate(options);
} else {
for (const model of models) await model.sync(options);
}
if (optionAdd "inherit qmake5" and let Yocto take care of it :)
#
# Build QT xyz application
#
SUMMARY = "..."
SECTION = "Mysection"
LICENSE = "CLOSED"
#Add whatever you need here
DEPENDS += "qtbase qtmultimedia qtsvg"
#Anpm install -g mssql tedious
$('body').scrollspy({
target: '#main-nav'
});
$('#main-nav a').on('click', function(e) {
if (this.hash !== '') {
e.preventDefault();
const hash = var Tedious = require('tedious'); // Only require a library once per file
var Connection = Tedious.Connection;
var Request = Tedious.Request;
// Or using the object spread operator
var { Connection, Request } = require('tedious');
// Youfrom flask import Blueprint, render_template, flash, redirect, url_for
from flask_bootstrap import __version__ as FLASK_BOOTSTRAP_VERSION
from flask_bootstrap import Bootstrap
from flask_nav.elements import Navbar, View, Subgroup, Link, Te//submit
var express = require('express');
var bodyParser = require('body-parser');
var app = express();
app.use(bodyParser.json());
var tedious = require('tedious');
var Promise = require('promise');
app.use(bodyParser.urlencoded({ 'use strict';
const tedious = require('tedious');
const Connection = tedious.Connection;
const Request = tedious.Request;
module.exports = {
connectSQL: function(config, callback) {
const connection = new Connection(config);
var Connection = require('tedious').Connection;
var config = {
userName: 'yourusername',
password: 'yourpassword',
server: 'yourserver.database.windows.net',
// If you are on Azure SQL Database
freakin regex
sagittis turpis, non sagittis libero consectetur sed. Aliquam erat volutpat. Aliquam lacinia purus sit amet dignissim convallis. Fusce augue eros, ornare dictum elementuCommunity Discussions
Trending Discussions on tedious
QUESTION
I want to create an object, and during initialisation choose a function to perform some calculation. For a polynomial of order N, some function has to be called, defined as someFunN. Now I am able to do this with a function pointer. I do this by a huge if block in the constructor,
ANSWER
Answered 2021-Jun-14 at 16:03You're probably looking for a lookup table:
QUESTION
Before I run eb create command, how can I tell Elastic Beanstalk to use a DIFFERENT docker-compose file?
For example, my project directory:
...ANSWER
Answered 2021-Jun-12 at 22:39You can't do this from command level. But I guess you could write container_commands script to rename your docker-compose file from docker-compose.dev.yml to docker-compose.yml:
You can use the container_commands key to execute commands that affect your application source code. Container commands run after the application and web server have been set up and the application version archive has been extracted, but before the application version is deployed.
UPDATE 12 Jun 2021
I tried to replicate the issue using simplified setup with just docker-compose.prod.yml and Docker running on 64bit Amazon Linux 2 3.4.1 EB platform.
docker-compose.prod.yml
QUESTION
I'm using cpp variants to indicate error in my program, for example, I have a function like this:
...ANSWER
Answered 2021-Jun-13 at 04:50What you want isn't possible in portable C++. If you are using gcc or clang, you can use statement exprs. I really recommend you don't do this, but here is the answer to the question you asked:
QUESTION
I am trying to abstract the explicit creation and destruction of raw handles with the usage of classes. The actual handle is stored as a private class member (so that the user doesn't interact with the lower-level details), which is created on construction and destroyed on destruction. Is there a design pattern of some sorts that could help achieve what the code below is trying to accomplish?
Note that it is possible for there to be loads of classes interdependent to each other, therefore it would be both tedious and bad practice to pollute each class with lots of friend statements.
...ANSWER
Answered 2021-Jun-11 at 23:06Is there a design pattern of some sorts that could help achieve what the code below is trying to accomplish?
Yes. It is called Resource Acquisition Is Initialization, or RAII for short. Your first attempt is in the right direction, but it is likely incomplete. A thing to potentially be concerned about is that typically it is an error to "destroy" a raw handle multiple times. Hence, you should establish a "class invariant" that as a post condition of every member function, no two instances of the class own the same raw handle. Your classes currently violate such invariant. Consider what happens when you make a copy of an instance. There is a rule of thumb called rule of five (previously rule of three) that will help establishing that invariant.
As for the private access and avoiding friends, a good solution is to provide a public getter:
QUESTION
I have this issue with dataframes with more than one column of type geometry. My dataframe looks like this:
ANSWER
Answered 2021-Jun-12 at 19:00Renaming works fine as your first try:
QUESTION
I have pop_1910, ... pop_2000. Each tibble has the following style. I want to combine these tibbles to one tibble. I know bind_rows to do that pop_1910 %>% bind_rows(pop_1920) %>% bind_rows(pop_1930). But it is a little bit tedious. Are there some efficient ways to combine many dataframes?
ANSWER
Answered 2021-Jun-07 at 16:57If you have them inside a list, you can use reduce() to bind all in one move.
QUESTION
I am completely new to Django, so forgive me if this is the wrong approach. While I'm trying to learn Django, I like to do my own little practice problems to solidify my understanding.
Working with models I created the example model objects:
...ANSWER
Answered 2021-Jun-08 at 14:55I think you should take advantage of the relational database and create a model for Vitamin, with name and folate, something like this
QUESTION
Goal: I have a bunch of keywords I'd like to categorise automatically based on topic parameters I set. Categories that match must be in the same column so the keyword data can be filtered.
e.g. If I have "Puppies" as a first topic, it shouldn't appear as a secondary or third topic otherwise the data cannot be filtered as needed.
Example Data: https://docs.google.com/spreadsheets/d/1TWYepApOtWDlwoTP8zkaflD7AoxD_LZ4PxssSpFlrWQ/edit?usp=sharing
Video: https://drive.google.com/file/d/11T5hhyestKRY4GpuwC7RF6tx-xQudNok/view?usp=sharing
Parameters Tab: I will add words in columns D-F that change based on the keyword data set and there will often be hundreds, if not thousands, of options for larger data sets.
Categories Tab: I'd like to have a formula or script that goes down the columns D-F in Parameters and fills in a corresponding value (in Categories! columns D-F respectively) based on partial match with column B or C (makes no difference to me if there's a delimiter like a space or not. Final data sheet should only have one of these columns though).
Things I've Tried: I've tried a bunch of things. Nested IF formula with regexmatch works but seems clunky.
e.g. this formula in Categories! column D
=IF(REGEXMATCH($B2,LOWER(Parameters!$D$3)),Parameters!$D$3,IF(REGEXMATCH($B2,LOWER(Parameters!$D$4)),Parameters!$D$4,""))
I nested more statements changing out to the next cell in Parameters!D column (as in , manually adding $D$5, $D$6 etc) but this seems inefficient for a list thousands of words long. e.g. third topic will get very long once all dog breed types are added.
Any tips?
Functionality I haven't worked out: if a string in Categories B or C contains more than one topic in the parameters I set out, is there a way I can have the first 2 to show instead of just the first one?
e.g. Cell A14 in Categories, how can I get a formula/automation to add both "Akita" & "German Shepherd" into the third topic? Concatenation with a CHAR(10) to add to new line is ideal format here. There will be other keywords that won't have both in there in which case these values will just show up individually.
Since this data set has a bunch of mixed breeds and all breeds are added as a third topic, it would be great to differentiate interest in mixes vs pure breeds without confusion.
Any ideas will be greatly appreciated! Also, I'm open to variations in layout and functionality of the spreadsheet in case you have a more creative solution. I just care about efficiently automating a tedious task!!
...ANSWER
Answered 2021-Jun-07 at 19:05Try using custom function:
To create custom function:
1.Create or open a spreadsheet in Google Sheets.
2.Select the menu item Tools > Script editor.
3.Delete any code in the script editor and copy and paste the code below into the script editor.
4.At the top, click Save save.
To use custom function:
1.Click the cell where you want to use the function.
2.Type an equals sign (=) followed by the function name and any input value — for example, =DOUBLE(A1) — and press Enter.
3.The cell will momentarily display Loading..., then return the result.
Code:
QUESTION
ANSWER
Answered 2021-Jun-07 at 01:08I would do it like this, assuming it's origin:
QUESTION
Suppose I have a list of nine, 2 x 2 matrices as defined by:
...ANSWER
Answered 2021-Jun-05 at 21:19Maybe we can do like this
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