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EntityFramework is painfully slow at executing an update query


EntityFramework is painfully slow at executing an update query

By : Dementia
Date : November 21 2020, 07:38 AM
this one helps. By timing the code I was able to see that the additional time spent by EF was in the call to Attach the object to the context, and not in the actual query to update the database.
By eliminating all object references (setting them to null before attaching the object and restoring them after the update is complete) the EF code runs in "comparable times" (5 seconds, but with lots of logging code) to the hand-written solution.
code :


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MySQL MyISAM table performance... painfully, painfully slow

MySQL MyISAM table performance... painfully, painfully slow


By : user993616
Date : March 29 2020, 07:55 AM
I hope this helps you . What's the data type and purpose of columnX in the userdata table? It should be noted that any text data type (i.e excluding char, varchar) forces any temporary tables to be created on disk. Now since you're doing a straight join without conditions, grouping or ordering, it probably won't need any temporary tables, except for aggregating the final result.
I think it would also be very helpful if you show us how your indexes are created. One thing to remember is that while InnoDB concatenates the primary key of the table to each index, MyISAM does not. This means that if you index column name and search for it with LIKE, but still want to get the id of the page group; Then the query would still need to visit the table to get the id instead of being able to retrieve it from the index.
Painfully Slow DB2 Query

Painfully Slow DB2 Query


By : Aura Muñoz
Date : March 29 2020, 07:55 AM
With these it helps For starters, are all foreign key relationships indexed? (e.g., CMSDPR23.JE215000, CP.JEBOA, etc.
Second, LIKE forces a full table search. Can you index NMELASTBUS and NAME_FIRST (etc...) and check for matches?
PHP: What's the fastest way to query MySQL? Because PDO is painfully slow

PHP: What's the fastest way to query MySQL? Because PDO is painfully slow


By : user2272657
Date : March 29 2020, 07:55 AM
it helps some times I need to perform a simply query. , Fastest possible :
code :
mysqli_connect("servername", "user", "pass") or die("can't connect");
mysqli_select_db("dbname") or die("can't select database");

list($price, $sqft, $zipcode) = mysqli_fetch_array(mysqli_query("SELECT price, sqft, zipcode FROM homes WHERE home_id = ".mysqli_real_escape_string($home_id)));
Nhibernate, painfully slow query, am I doing it wrong?

Nhibernate, painfully slow query, am I doing it wrong?


By : user3342978
Date : March 29 2020, 07:55 AM
hope this fix your issue Selecting 50,000 rows of any size is not ever going to be quick, but consider using a subselect fetching strategory - it should work a lot better in your scenerio. Also, make sure you have an index for the foreign key in your database.
There's an example of what could be happening at the NHProf site
Firebase cloud functions onCreate painfully slow to update database

Firebase cloud functions onCreate painfully slow to update database


By : user3114467
Date : March 29 2020, 07:55 AM
I wish this help you When you execute an asynchronous operation (i.e. request() in your case) in a background triggered Cloud Function, you must return a promise, in such a way the Cloud Function waits that this promise resolves in order to terminate.
This is very well explained in the official Firebase video series here (Learning Cloud Functions for Firebase (video series)). In particular watch the three videos titled "Learn JavaScript Promises" (Parts 2 & 3 especially focus on background triggered Cloud Functions, but it really worth watching Part 1 before).
code :
const functions = require('firebase-functions');
const { request } = require('gaxios');
const { parse } = require('url');

exports.getGithubReadme = functions.firestore.document('readmes/{name}').onCreate((snapshot, context) => {
    const toolName = context.params.name;
    console.log(toolName);
    const { name, description, site } = snapshot.data();
    console.log(name, description, site);

    const parsedUrl = parse(site);
    console.log(parsedUrl);

    if (description) return null;

    if (parsedUrl.hostname === 'github.com') {
        let githubUrl = `https://api.github.com/repos${parsedUrl.path}/readme`;
        return request({
            method: 'GET',
            url: githubUrl
        })
        .then((res) => {
            let { content } = res.data;
            return snapshot.ref.update({ description: content });
        })
        .catch((error) => {
            console.log(error);
            return null;
        });
    } else {
        return null;
    }

});
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