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  • Data aggregation mongodb vs mysql

    - by Dimitris Stefanidis
    I am currently researching on a backend to use for a project with demanding data aggregation requirements. The main project requirements are the following. Store millions of records for each user. Users might have more than 1 million entries per year so even with 100 users we are talking about 100 million entries per year. Data aggregation on those entries must be performed on the fly. The users need to be able to filter on the entries by a ton of available filters and then present summaries (totals , averages e.t.c) and graphs on the results. Obviously I cannot precalculate any of the aggregation results because the filter combinations (and thus the result sets) are huge. Users are going to have access on their own data only but it would be nice if anonymous stats could be calculated for all the data. The data is going to be most of the time in batch. e.g the user will upload the data every day and it could like 3000 records. In some later version there could be automated programs that upload every few minutes in smaller batches of 100 items for example. I made a simple test of creating a table with 1 million rows and performing a simple sum of 1 column both in mongodb and in mysql and the performance difference was huge. I do not remember the exact numbers but it was something like mysql = 200ms , mongodb = 20 sec. I have also made the test with couchdb and had much worse results. What seems promising speed wise is cassandra which I was very enthusiastic about when I first discovered it. However the documentation is scarce and I haven't found any solid examples on how to perform sums and other aggregate functions on the data. Is that possible ? As it seems from my test (Maybe I have done something wrong) with the current performance its impossible to use mongodb for such a project although the automated sharding functionality seems like a perfect fit for it. Does anybody have experience with data aggregation in mongodb or have any insights that might be of help for the implementation of the project ? Thanks, Dimitris

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  • MySQL Select names with last names ending with certain letter

    - by Brian
    I have a MySQL database with a field Name which contains full names. To select all people with last names ending in a particular letter, let's say A for this example, I use the following query: SELECT * FROM db WHERE Name LIKE '% A%'. However, this also selects users who have a middle name starting with A. Is there anyway to alter this query so that only a last name ending in A will be selected?

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  • parse results in MySQL via REGEX

    - by Derek Adair
    Hi, I'm a bit confused on the functionality of the REGEX support for MySQL and I have yet to find a solid example on how to separate a result with REGEX within an sql statement. Example: How could I pull data from a table emails that looks something like... +-------------------------+ |Emails | |-------------------------| |[email protected]| +-------------------------+ and return something through an sql statement that looks like... +------------------------------+ |Username | Domain | TLD | |-----------|------------|-----| |some.email | yourdomain | com | +------------------------------+

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  • can we use something IN and something NOT in mysql

    - by JPro
    I want to know if I can use something like this : If yes, then what will be order ? I dont seem to understand quite well the explain plan of mysql Select * from results where TestCase NOT IN (select TestCase from results where Verdict <> 'PASS' and StartTime > DATE_SUB(NOW(), INTERVAL 2 MONTHS)) and TestCase IN (Select TestCase from testcases where Type = 'NONOS') EDIT : Also how can I order by StartTime to display the latest first?

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  • select similar values from mysql database

    - by mathew
    Hi I have several data s in MySQL database. In my table there is a column called rank. what I want is when some one enter a rank say 25 then the result should display names on similar(+ or -) ranks LIMIT to 10 from table. example mathew - 25 john - 26 joe - 25 stewart - 27 kelly - 24 brandon -23 magy - 22 .......etc. Thanks Mathew

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  • Error querying database in PHP, MySQL

    - by user296516
    Hi guys, I have this code in PHP. It connects to the DB fine, but pops an error, when tryinto to insert the info. $dbc = mysqli_connect('localhost', 'root', 'marina', 'aliendatabase') or die('Error connecting to MySQL server.'); $query = "INSERT INTO aliens_abduction (name, email) VALUSE ('John', '[email protected]')"; $result = mysqli_query($dbc, $query) or die('Error querying database.'); mysqli_close($dbc); Here's a screenshot: http://img532.imageshack.us/img532/2930/63306356.jpg Thanks, R

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  • Need to replace HTML single-quote entity in MySQL

    - by modulaaron
    Hi, I currently have the following MySQL statement to replace the HTML entity for a single quote with an actual single quote: update photo_galleries replace(title, '&#39;', '\''); This statement returns an error. I have tried adding additional backslashes, but this does not help at all. I want to run this command using pure SQL (no PHP, etc.). Any suggestions are welcome and appreciated. Thanks.

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  • MDB2, Pear, Mysql error

    - by Kyle Hudson
    Hi Guys, I have PEAR, MDB2 and Mysql Driver installed however I keep getting: Fatal error: Call to undefined function: MDB2_Driver_mysql::_isNewLinkSet(). in /home/**/PEAR/MDB2.php on line 1937. The Server is CentOS I am stuck, any help would be appriciated. Thanks :)

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  • simpledb, sql azure, mysql + memcached

    - by sirmak
    For a new scalable high traffic global ecommerce website (asp.net) project which technology fits best (max. scalability & performance, min. price & maintenance)? amazon simpledb, microsoft sql azure, mysql + memcached combo, or your solution...

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  • mysql innodb max size of transaction

    - by chris
    Using mysql 5.1.41 and innodb I'm doing some data import, but can't use load data infile, so I'm manually issuing insert statements. I found that it's much faster to disable auto commit and issue say, 100 insert statements and then commit, instead of the implicit commit after each insert. It got me thinking, what limits are there to how much data I can put into a transaction? Is there a limit on the number of statements, or does it have to do with the size in bytes etc...?

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  • mysql query - blog posts and comments with limit

    - by Lemon
    Hi, I have 2 tables: comments and posts and I'd like to display a list of 15 posts and maximum 2 most recent comments under each blog post the database scheme looks like this posts_table: post_id, post_txt, post_timestamp comments_table: post_id, comment_txt, comment_timestamp how the mysql query should look like to select 15 posts and related comments (max 2 most recent ones per post) ??? thanks, Leo

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  • Fail2Ban - Log to mysql

    - by user319660
    Hi! We have a few servers with SSH public (using sFTP). Obviously, the attacks ar too many. We want put the banned logs into a MySQL DB for make stats and etc. Have anyone tryied this? Thanks

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  • Better PHP,MySql,HTML and JavaScript IDE

    - by War Coder
    Hello guys, I am currently using the below IDE's. They serve their purposes but am wondering if there are better ones out there that i can switch to. phpDesigner v6.2.5 (For PHP) Navicat 8.0.29 (For MySql) Dreamweaver CS3 (For HTML & CSS) Spket IDE (For JavaScript) Thats my collection of production tools. Wondering if there is anyone of them i can switch to a better one. Thanks

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  • A MySQL schema parser in Java?

    - by Richard
    Hi all, Does anyone know whether there is a java library for parsing a MySQL schema? In code I want to be able to determine the tables and fields specified in a schema. Or am I going to have to write my own? Thanks Richard.

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  • MySQL high IO usage quries

    - by jack
    MySQL has a built-in slow query logger. Is there any options or third-party tools which are able to detect the queries causing high IO usage just in the way like what slow query logger does?

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  • MySQL ORDER BY date and team

    - by Michael
    I would like to order by date and then team in a MySQL query. It should be something similar to this: SELECT * FROM games ORDER BY gamedate ASC, team_id AND it should output something like this: 2010-04-12 10:20 Game 1 Team 1 2010-04-12 11:00 Game 3 Team 1 2010-04-12 10:30 Game 2 Team 2 2010-04-14 10:00 Game 4 Team 1 So that Team 1 is under each other on the same date, but separate on a new date

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  • How does MySQL's ORDER BY RAND() work?

    - by Eugene
    Hi, I've been doing some research and testing on how to do fast random selection in MySQL. In the process I've faced some unexpected results and now I am not fully sure I know how ORDER BY RAND() really works. I always thought that when you do ORDER BY RAND() on the table, MySQL adds a new column to the table which is filled with random values, then it sorts data by that column and then e.g. you take the above value which got there randomly. I've done lots of googling and testing and finally found that the query Jay offers in his blog is indeed the fastest solution: SELECT * FROM Table T JOIN (SELECT CEIL(MAX(ID)*RAND()) AS ID FROM Table) AS x ON T.ID >= x.ID LIMIT 1; While common ORDER BY RAND() takes 30-40 seconds on my test table, his query does the work in 0.1 seconds. He explains how this functions in the blog so I'll just skip this and finally move to the odd thing. My table is a common table with a PRIMARY KEY id and other non-indexed stuff like username, age, etc. Here's the thing I am struggling to explain SELECT * FROM table ORDER BY RAND() LIMIT 1; /*30-40 seconds*/ SELECT id FROM table ORDER BY RAND() LIMIT 1; /*0.25 seconds*/ SELECT id, username FROM table ORDER BY RAND() LIMIT 1; /*90 seconds*/ I was sort of expecting to see approximately the same time for all three queries since I am always sorting on a single column. But for some reason this didn't happen. Please let me know if you any ideas about this. I have a project where I need to do fast ORDER BY RAND() and personally I would prefer to use SELECT id FROM table ORDER BY RAND() LIMIT 1; SELECT * FROM table WHERE id=ID_FROM_PREVIOUS_QUERY LIMIT 1; which, yes, is slower than Jay's method, however it is smaller and easier to understand. My queries are rather big ones with several JOINs and with WHERE clause and while Jay's method still works, the query grows really big and complex because I need to use all the JOINs and WHERE in the JOINed (called x in his query) sub request. Thanks for your time!

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