Search Results

Search found 36756 results on 1471 pages for 'mysql real query'.

Page 30/1471 | < Previous Page | 26 27 28 29 30 31 32 33 34 35 36 37  | Next Page >

• End user query syntax?

  - by weberc2

  I'm making a command line tool that allows end users to query a statically-schemed database; however, I want users to be able to specify boolean matchers in their query (effectively things like "get rows where (field1=abcd && field2=efgh) || field3=1234"). I did Googling a solution, but I couldn't find anything suitable for end users--still, this seems like it would be a very common problem so I suspect there is a standard solution. So: What (if any) standard query "languages" are there that might be appropriate for end users? What (if any) de facto standards are there (for example, Unix tools that solve similar problems). Failing the previous two options, can you suggest a syntax that would be simple, concise, and easy to validate?

  Read the article

• What am I doing wrong in my config for MySql?

  - by Knight Hawk3

  When I load my my.conf with the config at the bottom Mysql fails to start and prints no errors. I am running Arch Linux (Updated) with the latest MySQL (5.5) and the latest nginx (Well latest in the repository, Not sure how to check. Only installed it today) I will give you any info you ask for. Thanks for helping! # The following options will be passed to all MySQL clients [client] #password = your_password port = 3306 socket = /var/run/mysqld/mysqld.sock # Here follows entries for some specific programs # The MySQL server [mysqld] port = 3306 socket = /var/run/mysqld/mysqld.sock skip-locking key_buffer = 16K max_allowed_packet = 1M table_cache = 4 sort_buffer_size = 64K read_buffer_size = 256K read_rnd_buffer_size = 256K net_buffer_length = 2K thread_stack = 64K # Don’t listen on a TCP/IP port at all. This can be a security enhancement, # if all processes that need to connect to mysqld run on the same host. # All interaction with mysqld must be made via Unix sockets or named pipes. # Note that using this option without enabling named pipes on Windows # (using the “enable-named-pipe” option) will render mysqld useless! # #skip-networking server-id = 1 # Uncomment the following if you want to log updates #log-bin=mysql-bin # Uncomment the following if you are NOT using BDB tables skip-bdb # Uncomment the following if you are using InnoDB tables #innodb_data_home_dir = /var/lib/mysql/ #innodb_data_file_path = ibdata1:10M:autoextend #innodb_log_group_home_dir = /var/lib/mysql/ #innodb_log_arch_dir = /var/lib/mysql/ # You can set .._buffer_pool_size up to 50 – 80 % # of RAM but beware of setting memory usage too high #innodb_buffer_pool_size = 16M #innodb_additional_mem_pool_size = 2M # Set .._log_file_size to 25 % of buffer pool size #innodb_log_file_size = 5M #innodb_log_buffer_size = 8M #innodb_flush_log_at_trx_commit = 1 #innodb_lock_wait_timeout = 50 skip-innodb [mysqldump] quick max_allowed_packet = 16M [mysql] no-auto-rehash # Remove the next comment character if you are not familiar with SQL #safe-updates [isamchk] key_buffer = 1M sort_buffer_size = 1M [myisamchk] key_buffer = 1M sort_buffer_size = 1M [mysqlhotcopy] interactive-timeout So what is my silly error?

  Read the article

• Joining two queries into one query or making a sub-query

  - by gary A.K.A. G4

  I am having some trouble with the following queries originally done for some Access forms: SELECT qry1.TCKYEAR AS Yr, COUNT(qry1.SID) AS STUDID, qry1.SID AS MID, table_tckt.tckt_tick_no FROM table_tckt INNER JOIN qry1 ON table_tckt.tckt_SID = qry1.SID GROUP BY qry1.TCKYEAR, qry1.SID, table_tckt.tckt_tick_no HAVING (((table_tckt.tick_no)=[forms]![frmNAME]![cboNAME])); SELECT table_tckt.sid, FORMAT([tckt_iss_date], 'yyyy') AS TCKYEAR, table_tckt.tckt_tick_no, table_tckt.licstate FROM table_tckt WHERE (((table_tckt.licstate)<>"NA")); I am no longer working with Access, but JSP for the forms. I need to somehow either combine these two queries into one query or find another way to have a query 'query' another one.

  Read the article

• Help with SQL query (list strings and count in same query)

  - by Mestika

  Hi everybody, I’m working on a small kind of log system to a webpage, and I’m having some difficulties with a query I want to do multiple things. I have tried to do some nested / subqueries but can’t seem to get it right. I’ve two tables: User = {userid: int, username} Registered = {userid: int, favoriteid: int} What I need is a query to list all the userid’s and the usernames of each user. In addition, I also need to count the total number of favoriteid’s the user is registered with. A user who is not registered for any favorite must also be listed, but with the favorite count shown as zero. I hope that I have explained my request probably but otherwise please write back so I can elaborate. By the way, the query I’ve tried with look like this: SELECT user.userid, user.username FROM user,registered WHERE user.userid = registered.userid(SELECT COUNT(favoriteid) FROM registered) However, it doesn’t do the trick, unfortunately Kind regards Mestika

  Read the article

• MySQL-python 1.2.3 and OS X 10.5: 64- or 32-bit?

  - by Dave Everitt

  I've been happily using Django and MySQL in development on an existing machine running OS X 10.4 Tiger, and have set up a similar environment in 10.5 Leopard on a new 64-bit MacBook, with a working MySQL and Python 2.6.4. However, now I want them to communicate, easy_install MySQL-python gave ld warnings that the file is not of the required architecture, which led me to test my Python 2.4.6 install (from the Mac OS X disc image): >>> import sys >>> sys.maxint 2147483647 Ah. So my Python install appears to be 32-bit and (I think?) won't install MySQL-python for my 64-bit MySQL. There are lots of hacks out there for MySQL-python on OS X (mostly 1.2.2), but - after hours of reading - I'm pretty sure they won't fix this architecture mismatch. So I'm stuck because I can't decide whether to: give up, remove the 64-bit MySQL install (thorough methods, please?) and use the 32-bit MySQL disc image instead; re-install Python in 64-bit mode from the tarball, --with-universal archs-64-bit and --enable-universalsdk= as detailed in Python.org's 2.6 news. So my questions for anyone who has encountered this issue are: Is installing 64-bit Python on OS X 10.5 worth bothering with? If so, (naive, lazy question!) how are the two required arguments combined? If I just skip along in 32-bit (as on my working setup) what am I missing? I'm after a hassle-free install that's easy to reproduce on other machines (possible student use) so I'd really welcome your opinions, please!

  Read the article

• Can't run install MySQL gem Fedora 14, even after installing mysql-devel, ruby-devel, and rubygems

  - by jonderry

  I'm trying to install the mysql gem via sudo gem install mysql --version 2.7 However, I get the following error: Building native extensions. This could take a while... ........... ERROR: Error installing mysql: ERROR: Failed to build gem native extension. /usr/bin/ruby extconf.rb checking for mysql_query() in -lmysqlclient... no checking for main() in -lm... yes checking for mysql_query() in -lmysqlclient... no checking for main() in -lz... yes checking for mysql_query() in -lmysqlclient... no checking for main() in -lsocket... no checking for mysql_query() in -lmysqlclient... no checking for main() in -lnsl... yes checking for mysql_query() in -lmysqlclient... no *** extconf.rb failed *** Could not create Makefile due to some reason, probably lack of necessary libraries and/or headers. Check the mkmf.log file for more details. You may need configuration options. Any ideas?

  Read the article

• Problem converting MsSql to MySql Stored procedure

  - by karthik

  Original source of MsSql SP is here.. http://www.codeproject.com/KB/database/InsertGeneratorPack.aspx I am using the below MySql stored procedure, created by SQLWAYS [Tool to convert MsSql to MySql]. The purpose of this is to take backup of selected tables to a script file. when the SP returns a value {Insert statements}. When i Execute the Below SP, i am getting a weird Result Set : SQLWAYS_EVAL# ll(cast(UidSQLWAYS_EVAL# 0)),'0')+''','+SQLWAYS_EVAL# ll(UserNameSQLWAYS_EVAL# '+SQLWAYS_EVAL# ll(PasswordSQLWAYS_EVAL# '+ I see a lot of "SQLWAYS_EVAL#" in the code, which is produced in the result too. What values need to be passed instead of "SQLWAYS_EVAL#". So that i get the proper Insert statements for each record in the table. I am new to MySql. Please help me. Its Urgent. Thanks. DELIMITER $$ DROP PROCEDURE IF EXISTS `InsertGenerator` $$ CREATE DEFINER=`root`@`localhost` PROCEDURE `InsertGenerator`() SWL_return: BEGIN -- SQLWAYS_EVAL# to retrieve column specific information -- SQLWAYS_EVAL# table DECLARE v_string VARCHAR(3000); -- SQLWAYS_EVAL# first half -- SQLWAYS_EVAL# tement DECLARE v_stringData VARCHAR(3000); -- SQLWAYS_EVAL# data -- SQLWAYS_EVAL# statement DECLARE v_dataType VARCHAR(1000); -- SQLWAYS_EVAL# -- SQLWAYS_EVAL# columns DECLARE v_colName VARCHAR(50); DECLARE NO_DATA INT DEFAULT 0; DECLARE cursCol CURSOR FOR SELECT column_name,data_type FROM information_schema.`columns` -- WHERE table_name = v_tableName; WHERE table_name = 'tbl_users'; DECLARE CONTINUE HANDLER FOR SQLEXCEPTION BEGIN SET NO_DATA = -2; END; DECLARE CONTINUE HANDLER FOR NOT FOUND SET NO_DATA = -1; OPEN cursCol; SET v_string = CONCAT('INSERT ',v_tableName,'('); SET v_stringData = ''; SET NO_DATA = 0; FETCH cursCol INTO v_colName,v_dataType; IF NO_DATA <> 0 then -- NOT SUPPORTED print CONCAT('Table ',@tableName, ' not found, processing skipped.') close cursCol; LEAVE SWL_return; end if; WHILE NO_DATA = 0 DO IF v_dataType in('varchar','char','nchar','nvarchar') then SET v_stringData = CONCAT(v_stringData,'SQLWAYS_EVAL# ll(',v_colName,'SQLWAYS_EVAL# ''+'); ELSE if v_dataType in('text','ntext') then -- SQLWAYS_EVAL# -- SQLWAYS_EVAL# else SET v_stringData = CONCAT(v_stringData,'SQLWAYS_EVAL# ll(cast(',v_colName,'SQLWAYS_EVAL# 00)),'''')+'''''',''+'); ELSE IF v_dataType = 'money' then -- SQLWAYS_EVAL# doesn't get converted -- SQLWAYS_EVAL# implicitly SET v_stringData = CONCAT(v_stringData,'SQLWAYS_EVAL# y,''''''+ isnull(cast(',v_colName,'SQLWAYS_EVAL# 0)),''0.0000'')+''''''),''+'); ELSE IF v_dataType = 'datetime' then SET v_stringData = CONCAT(v_stringData,'SQLWAYS_EVAL# time,''''''+ isnull(cast(',v_colName, 'SQLWAYS_EVAL# 0)),''0'')+''''''),''+'); ELSE IF v_dataType = 'image' then SET v_stringData = CONCAT(v_stringData,'SQLWAYS_EVAL# ll(cast(convert(varbinary,',v_colName, 'SQLWAYS_EVAL# 6)),''0'')+'''''',''+'); ELSE SET v_stringData = CONCAT(v_stringData,'SQLWAYS_EVAL# ll(cast(',v_colName,'SQLWAYS_EVAL# 0)),''0'')+'''''',''+'); end if; end if; end if; end if; end if; SET v_string = CONCAT(v_string,v_colName,','); SET NO_DATA = 0; FETCH cursCol INTO v_colName,v_dataType; END WHILE; select v_stringData; END $$ DELIMITER ;

  Read the article

• Election 2012: Twitter Breaks Records with MySQL

  - by Bertrand Matthelié

  Twitter VP of Infrastructure Operations Engineering Mazen Rawashdeh shared news and numbers yesterday on his blog: "Last night, the world tuned in to Twitter to share the election results as U.S. voters chose a president and settled many other campaigns. Throughout the day, people sent more than 31 million election-related Tweets (which contained certain key terms and relevant hashtags). And as results rolled in, we tracked the surge in election-related Tweets at 327,452 Tweets per minute (TPM). These numbers reflect the largest election-related Twitter conversation during our 6 years of existence, though they don’t capture the total volume of all Tweets yesterday." "Last night, Twitter averaged about 9,965 TPS from 8:11pm to 9:11pm PT, with a one-second peak of 15,107 TPS at 8:20pm PT and a one-minute peak of 874,560 TPM. Seeing a sustained peak over the course of an entire event is a change from the way people have previously turned to Twitter during live events. Now, rather than brief spikes, we are seeing sustained peaks for hours." Congrats to Jeremy Cole, Davi Arnaut and the rest of the team at Twitter for their excellent work! Jeremy recently held a keynote presentation at MySQL Connect describing how MySQL powers Twitter, and why they chose and continue to rely on MySQL for their operations. You can watch the presentation here. He also went into more details during another presentation later that day and you can access the slides here. Below a couple of tweets from Jeremy after what have surely been hectic days...  Keep up the good work guys!

  Read the article

• Honing Performance Tuning Skills on MySQL

  - by Antoinette O'Sullivan

  Get hands-on experience with techniques for tuning a MySQL Server with the Authorized MySQL Performance Tuning course.  This course is designed for database administrators, database developers and system administrators who are responsible for managing, optimizing, and tuning a MySQL Server. You can follow this live instructor led training: From your desk. Choose from among the 800+ events on the live-virtual training schedule. In a classroom. A selection of events/locations listed below  Location  Date  Delivery Language  Prague, Czech Republic  1 October 2012  Czech  Warsaw, Poland  9 July 2012  Polish  London, UK  19 November 2012  English  Rome, Italy  23 October 2012  Italian  Lisbon, Portugal  17 September 2012  European Portugese  Aix-en-Provence, France  4 September 2012  French  Strasbourg, France  16 October 2012  French  Nieuwegein, Netherlands  3 September 2012  Dutch  Madrid, Spain  6 August 2012  Spanish  Mechelen, Belgium  1 October 2012  English  Riga, Latvia  10 December 2012  Latvian  Petaling Jaya, Malaysia  10 September 2012  English  Edmonton, Canada  27 August 2012  English  Vancouver, Canada  27 August 2012  English  Ottawa, Canada  26 November 2012  English  Toronto, Canada  26 November 2012  English  Montreal, Canada  26 November 2012  English  Mexico City, Mexico  9 July 2012  Spanish  Sao Paulo, Brazil  2 July 2012  Brazilian Portugese To find a virtual or in-class event that suits you, go or http://oracle.com/education and choose a course and delivery type in your location.  

  Read the article

• Sql simple query

  - by Josemalive

  Hello, I have the following table Persons_Companies that shows a relation between persons and companies knowns by these persons: PersonID | CompanyID 1 1 2 1 2 2 3 2 4 2 Imaging that company 1="Google" and company 2 is ="Microsoft", i would like to know the query to have the following result: PersonID | Microsoft | Google 1 0 1 2 1 1 3 1 0 4 1 0 Until this moment i have something similar: select PersonID, case when CompanyID=1 then 1 else 0 end as Google, case when EmpresaID=2 then 1 else 0 end as Microsoft from Persons_Companies My problem is with the persons that knows both companies, i cant imagine how could this query be. Could you give me a hand? Thanks in advance. Best Regards. Josema.

  Read the article

• Mysql : get data from 2 tables (need help)

  - by quangtruong1985

  Assume that I have 2 tables : members and orders (Mysql) Members : id | name 1 | Lee 2 | brad Orders : id | member_id | status (1: paid, 2: unpaid) | total 1 | 1 | 1 | 1000000 2 | 1 | 1 | 1500000 3 | 1 | 2 | 1300000 4 | 2 | 1 | 3000000 5 | 2 | 2 | 3500000 6 | 2 | 2 | 3300000 I have a sql query : SELECT m.name, COUNT(o.id) as number_of_order, SUM(o.total) as total2 FROM orders o LEFT JOIN members m ON o.member_id=m.id GROUP BY o.member_id which give me this: name | number_of_order | total2 Lee | 3 | 3800000 brad | 3 | 9800000 All that I want is something like this : name | number_of_order | total2 | Paid Unpaid | Paid Unpaid ------------------------------------------------ Lee | 3 | 3800000 | 2 1 | 2500000 1300000 ------------------------------------------------ brad | 3 | 9800000 | 1 2 | 3000000 6800000 ------------------------------------------------ How to make a query that can give me that result? Thanks for your time!

  Read the article

• Can this sql query be simplified?

  - by Bas

  I have the following tables: Person, {"Id", "Name", "LastName"} Sports, {"Id" "Name", "Type"} SportsPerPerson, {"Id", "PersonId", "SportsId"} For my query I want to get all the Persons that excersise a specific Sport whereas I only have the Sports "Name" attribute at my disposal. To retrieve the correct rows I've figured out the following queries: SELECT * FROM Person WHERE Person.Id in ( SELECT SportsPerPerson.PersonId FROM SportsPerPerson INNER JOIN Sports on SportsPerPerson.SportsId = Sports.Id WHERE Sports.Name = 'Tennis' ) AND Person.Id in ( SELECT SportsPerPerson.PersonId FROM SportsPerPerson INNER JOIN Sports on SportsPerPerson.SportsId = Sports.Id WHERE Sports.Name = 'Soccer' ) OR SELECT * FROM Person WHERE Id IN (SELECT PersonId FROM SportsPerPerson WHERE SportsId IN (SELECT Id FROM Sports WHERE Name = 'Tennis')) AND Id IN (SELECT PersonId FROM SportsPerPerson WHERE SportsId IN (SELECT Id FROM Sports WHERE Name = 'Soccer')) Now my question is, isn't there an easier way to write this query? Using just OR won't work because I need the person who play 'Tennis' AND 'Soccer'. But using AND also doesn't work because the values aren't on the same row.

  Read the article

• MySQL Need help constructing query: join multiple tables into single row

  - by Jed Daniels

  Hello stackoverflowers, Forgive me if this question has been asked and answered, I've searched and found a few that look similar but I'm too much of a novice with SQL to adapt them to my needs. Also forgive me if I don't use the correct terminology, I know it can be annoying when someone asks a question and they don't even know enough to be able to ask for what they need. I'm helping a friend gather some data, and need to perform a query that results in a single row per record, but instead I get multiple rows. Here is an example of what I'm querying right now (simplified, hopefully not too much): SELECT * FROM `table_one` AS t1 INNER JOIN `table_two` AS t2 ON t1.id = t2.id INNER JOIN `table_three` AS t3 ON t1.id = t3.id WHERE 1 The result is: id text number 5 Subtotal 17 5 Tax 3 5 Total 20 What I need is to create a query that results in something more like this: id text number text number text number 5 subtotal 17 Tax 3 Total 20 Any assistance/guidance would be much appreciated. Thanks! --jed

  Read the article

• Getting mysql row that doesn't conflict with another row

  - by user939951

  I have two tables that link together through an id one is "submit_moderate" and one is "submit_post" The "submit_moderate" table looks like this id moderated_by post 1 James 60 2 Alice 32 3 Tim 18 4 Michael 60 Im using a simple query to get data from the "submit_post" table according to the "submit_moderate" table. $get_posts = mysql_query("SELECT * FROM submit_moderate WHERE moderated_by!='$user'"); $user is the person who is signed in. Now my problem is when I run this query, with the user 'Michael' it will retrieve this 1 James 60 2 Alice 32 3 Tim 18 Now technically this is correct however I don't want to retrieve the first row because 60 is associated with Michael as well as James. Basically I don't want to retrieve that value '60'. I know why this is happening however I can't figure out how to do this. I appreciate any hints or advice I can get.

  Read the article

• Counting the most tagged tag with MySQL

  - by Jack W-H

  Hi folks My problem is that I'm trying to count which tag has been used most in a table of user-submitted code. But the problem is with the database structure. The current query I'm using is this: SELECT tag1, COUNT(tag1) AS counttag FROM code GROUP BY tag1 ORDER BY counttag DESC LIMIT 1 This is fine, except, it only counts the most often occurence of tag1 - and my database has 5 tags per post - so there's columns tag1, tag2, tag3, tag4, tag5. How do I get the highest occurring tag value from all 5 columns in one query? Jack

  Read the article

• Can this MySQL subquery be optimised?

  - by Dan

  I have two tables, news and news_views. Every time an article is viewed, the news id, IP address and date is recorded in news_views. I'm using a query with a subquery to fetch the most viewed titles from news, by getting the total count of views in the last 24 hours for each one. It works fine except that it takes between 5-10 seconds to run, presumably because there's hundreds of thousands of rows in news_views and it has to go through the entire table before it can finish. The query is as follows, is there any way at all it can be improved? SELECT n.title , nv.views FROM news n LEFT JOIN ( SELECT news_id , count( DISTINCT ip ) AS views FROM news_views WHERE datetime >= SUBDATE(now(), INTERVAL 24 HOUR) GROUP BY news_id ) AS nv ON nv.news_id = n.id ORDER BY views DESC LIMIT 15

  Read the article

• MySQL: Insert row on table2 if row in table1 exists

  - by Andrew M

  I'm trying to set up a MySQL query that will insert a row into table2 if a row in table1 exist already, otherwise it will just insert the row into table1. I need to find a way to adapt the following query into inserting a row into table2 with the existing row's id. INSERT INTO table1 (host, path) VALUES ('youtube.com', '/watch') IF NOT EXISTS ( SELECT * FROM table1 WHERE host='youtube.com' AND path='/watch' LIMIT 1); Something kind of like this: INSERT ... IF NOT EXISTS(..) ELSE INSERT INTO table2 (table1_id) VALUES(row.id); Except I don't know the syntax for this.

  Read the article

• MySQL Query - Alternation of WHERE IN

  - by Sadiqur Rahman

  I have a mySQL query which takes 3-4 minutes to be executed. It is a large database. This query uses WHERE IN to find the rows.. So, is there any alternate query/clause/statement for my this query? SELECT r.reg_id, r.first_name, r.last_name, r.email, r.country, e.headline, e.industry, pp.photo FROM basic_registration r LEFT JOIN exp_ind_reg e ON e.reg_id=r.reg_id LEFT JOIN profile_photo pp ON pp.reg_id=r.reg_id WHERE r.reg_id IN (23,228,497,593,761,1204,1491,1894,1895,2128,7,11,20,22,25,26,27,29,31, 32,33,34,37,41,45,47,50,52,53,54,55,62,63,69,75,79,80,82,85,87,88,89,93,96,99, 102,104,106,110,116,117,124,139,143,146,150,157,159,161,162,170,175,176,177, 181,183,197,210,213,215,217,220,226,227,233,240,250,252,255,262,263,268,274,280, 283,285,290,300,312,313,317,324,332,341,347,351,357,368,369,372,373,377, 381,383,398,408,414,416,418,419,422,432,441,446,450,451,453,463,466,469,473,486,511, 522,525,527,529,534,538,541,543,546,564,566,569,577,579,581,585,586,595,598,599,600, 606,611,613,614,621,640,649,654,656,660,667,668,674,682,686,689,693,699,705,720, 734,742,748,753,763,774,775,780,782,784,792,795,804,839,841,862,871,890,929, 930,943,951,965,994,1004,1017,1026,1034,1050,1051,1053,1054,1067,1082,1087,1109, 1119,1121,1124,1136,1147,1187,1197,1214,1224,1226,1230,1241,1255,1318,1323,1358,1361, 1383,1404,1415,1429,1440,1443,1452,1458,1473,1478,1484,1490,1496,1505,1508,1521, 1534,1544,1556,1575,1628,1640,1644,1660,1688,1725,1791,1802,1815,1819,1849,1850,1891, 1896,1897,1911,1917,1923,1924,1926,1927,1930,1956,1959,1961,1967,1983,2006,2016, 2028,2053,2059,2088,2089,2100,2136,2145,2164,2183,2190,2219,2243,2291,2301,2321, 2343,2345,2423,2438,2465,2478,2501,2507,2508,2551,2563,2572,2629,2636,2642,2650, 2670,2693,2695,2724,2732,2801,2803,2839,2847,2867,2899,3024,3061,3068,3071,3093, 3123,3126,3188,3240,3273,3307,3308,3332,3484,3493,3522,3552,3596,3632,3705,3769, 3845,3869,3966,3969,4046,4066,4074,4077,4108,4113,4140,4198,4213,4218,4266,4295, 4312,4345,4365,4369,4380,4425,4453,4485,4486,4488,4493,4494,4495,4500,4513,4515, 4517,4520,4533,4540,4542,4544,4548,4550,4551,4554,4555,4557,4566,4567,4568, 4570,4572,4575,4586,4587,4590,4593,4594,4595,4598,4599,4608,4640,4642,4647,4650, 4661,4664,4679,4681,4685,4686,4698,4707,4708,4709,4711,4712,4714,4715,4717,4719, 4720,4721,4722,4724,4725,4728,4729,4732,4734,4735,4736,4737,4739,4742,4744,4745, 4750,4752,4754,4755,4757,4759,4760,4761,4763,4764,4766,4768,4770,4772,4774,4776, 4777,4789,4790,4791,4793,4795,4796,4797,4799,4803,4804,4805,4806,4808,4809,4811, 4814,4815,4817,4818,4821,4825,4826,4828,4830,4831,4833,4835,4836,4837,4843,4844, 4847,4848,4852,4853,4854,4861,4865,4866,4871,4874,4875,4876,4879,4880,4886,4889, 4890,4891,4892,4893,4894,4896,4899,4900,4904,4908,4914,4915,4916,4917,4918,4922, 4925,4929,4930,4931,4932,4934,4935,4940,4943,4944,4945,4947,4948,4949,4952,4953, 4956,4961,4963,4964,4965,4973,4974,4976,4978,4980,4985,4988,4989,4990,4993,4996, 5001,5009,5014,5016,5017,5018,5019,5021,5023,5024,5025,5028,5032,5033,5041,5042, 5048,5055,5056,5058,5059,5062,5065,5066,5072,5073,5075,5078,5079,5083,5084,5085, 5086,5087,5088,5089,5090,5091,5092,5093,5094,5096,5103,5112,5115,5116,5117,5123, 5125,5126,5127,5128,5130,5131,5132,5133,5134,5137,5138,5139,5140,5141,5146,5148, 5150,5155,5156,5158,5161,5162,5163,5164,5166,5168,5172,5174,5176,5178,5179,5180, 5181,5183,5186,5191,5194,5199,5200,5201,5202,5206,5214,5215,5217,5218,5222,5225, 5226,5227,5235,5236,5237,5243,5245,5246,5248,5251,5252,5254,5255,5256,5257, 5259,5261,5262,5267,5270,5271,5275,5279,5281,5283,5284,5286,5288,5289,5292,5293, 5295,5307,5308,5310,5311,5313,5315,5321,5323,5324,5325,5327,5328,5339,5340,5345, 5351,5353,5355,5356,5357,5358,5359,5363,5364,5365,5366,5369,5370,5371,5372,5373, 5376,5377,5378,5379,5381,5382,5383,5384,5385,5386,5387,5388,5389,5390,5393,5395, 5405,5406,5407,5411,5413,5414,5415,5416,5417,5418,5420,5424,5425,5429,5430,5431, 5432,5433,5434,5435,5437,5441,5451,5460,5467,5473,5476,5506,5524,5528,5530,5534, 5535,5536,5550,5551,5552,5553,5554,5556,5557,5559,5564,5565,5567,5568,5574,5575, 5585,5586,5587,5597,5600,5601,5605,5606,5607,5613,5614,5615,5617,5618,5624,5626, 5627,5628,5640,5643,5644,5645,5647,5648,5649,5650,5660,5661,5670,5671,5673,5674, 5675,5681,5683,5685,5689,5690,5691,5692,5693,5694,5695,5696,5697,5702,5703,5704, 5705,5706,5708,5710,5711,5712,5713,5716,5717,5719,5730,5732,5737,5744,5745,5746, 5748,5749,5750,5752,5753,5754,5756,5757,5758,5759,5761,5762,5763,5764,5765,5767, 5769,5770,5776,5780,5782,5783,5784,5787,5788,5789,5790,5791,5792,5793,5794,5799, 5802,5803,5804,5805,5806,5808,5809,5810,5812,5813,5814,5816,5817,5818,5822,5823,5826, 5827,5829,5830,5831,5848,5849,5850,5851,5852,5854,5856,5858,5859,5863,5864,5865, 5866,5867,5873,5884,5885,5893,5898,5899,5904,5907,5908,5910,5911,5915,5916,5918, 5919,5922,5923,5924,5933,5934,5941,5944,5950,5954,5955,5956,5960,5961,5973,5978,5981, 5982,5983,5984,5985,5986,5987,5988,5989,5990,5998,5999,6000,6002,6003,6004,6006, 6007,6010,6093,6175,6177,6217,6236,6325,6327,6347,6398,6403,6447,6582,6586,6609, 6697,6904,6926,6933,7001,7003,7047,7081,7094,7111,7205,7207,7219,7220,7221,7222, 7224,7227,7228,7229,7230,7232,7237,7238,7241,7268,7274,7275,7276,7281,7300,7307, 7309,7315,7330,7333,7334,7339,7343,7348,7354,7360,7374,7377,7378,7390,7429,7434, 7445,7448,7449,7452,7532,7534,7539,7542,7546,7547,7555,7563,7565,7567,7572,7575, 7576,7577,7578,7579,7585,7611,7907,7926,8100,8134,8205,8324,8337,8339,8350,8351, 8362,8410,8568,8572,8618,8619,8651,8665,8666,8667,8668,9010,9068,9098,9100,9106, 9111,9115,9121,9123,9174,9177,9272,9302,9421,9570,9683,9684,9697,9704,9712,9715,9779, 9790,9792,9793,9795,9798,9814,9818,9856,9866,9876,9886,9891,9908,9912,9928,10508, 10825,11103,11729,12289,12377,12643,12656,12657,12668,12876,12926,12958,13291, 13300,13408,13472,13976,14477,14538,14833,15044,15108,15779,16039,16061,16549, 16556,16562,16564,16565,16571,16573,16574,16576,16577,16584,16589,16590,16591, 16592,16598,16604,16606,16607,16610,16620,16645,16648,16650,16654,16655,16661, 16662,16675,16680,16697,16699,16701,16702,16704,16705,16708,16714,16719,16723, 16724,16727,16729,16731,16732,16743,16750,16752,16755,16758,16772,16774,16782,16787, 16793,16794,16795,16797,16798,16802,16813,16814,16815,16824,16825,16829,16831, 16841,16843,16848,16850,16863,16864,16866,16870,16878,16881,16887,16893,16896,16897, 16900,16902,16909,16912,16936,16944,16948,16958,16960,16963,16974,16978,16993,17012, 17016,17020,17053,17061,17096,17120,17124,17125,17129,17135,17137,17140,17141,17142, 17145,17149,17150,17157,17164,17170,17172,17173,17178,17180,17184,17187,17188, 17192,17196,17197,17200,17201,17206,17207,17221,17223,17227,17236,17244,17246, 17273,17285,17289,17291,17297,17300,17305,17310,17311,17321,17326,17331,17335, 17352,17370,17414,17423,17424,17439,17479,17493,17495,17501,17519,17525,17541, 17571,17590,17614,17755,17838,17846,17848,17852,17853,17855,17858,17861,17871, 17876,17877,17891,17896,17899,17900,17905,17908,17910,17911,17916,17917,17938,17939, 17940,17949,17953,17955,17960,17972,17980,17982,17992,18055,18067,18069,18071,18077, 18108,18127,18134,18136,18140,18142,18143,18158,18162,18178,18192,18196,18206,18217, 18221,18242,18245,18249,18263,18271,18273,18275,18277,18278,18286,18291,18295,18300, 18301,18308,18325,18333,18338,18360,18373,18374,18387,18397,18411,18412,18420,18429, 18434,18455,18478,18484,18534,18779,18790,18804,18821,18851,18964,18965,18977,18990, 18991,19000,19006,19276,19291,19374,19395,19416,19432,19627,19917,19927,19971,19974, 19989,20007,2254,2549,2652,3077,3615,4483,4484,4611,4700,5714,5772,6252,6536,7051, 7102,7107,7591,8167,8286,8935,9937,11089,12344,15830,16343,16644,17359, 17994,18774) AND r.activation=1 ORDER BY r.first_name ASC LIMIT 0, 10;

  Read the article

• MySQL slow queries

  - by jack

  The MySQL slow query log often shows a bunch of following entries in sequence. SET timestamp=1268999330; commit; # User@Host: username[username] @ localhost [] # Query_time: 4.172700 Lock_time: 0.000000 Rows_sent: 0 Rows_examined: 0 SET timestamp=1268999330; commit; # User@Host: username[username] @ localhost [] # Query_time: 3.628924 Lock_time: 0.000000 Rows_sent: 0 Rows_examined: 0 SET timestamp=1268999330; commit; # User@Host: username[username] @ localhost [] # Query_time: 3.116018 Lock_time: 0.000000 Rows_sent: 0 Rows_examined: 0 ... Usually 6-7 "commit" queries in sequence. Anyone what they are and what's the preceding query of each of them? Thanks in advance.

  Read the article

• mysql query - syntax error - cannot find out why

  - by Phil Jackson

  Hi all, im taring my hair out over this one. A query is throwing an error: You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'FROM, SUBJECT, DATE, READ, MAIL ) VALUES ( 'EJackson', 'dfdf', '1270974101', 'fa' at line 1 I printed out the query to see what could be the problem: INSERT INTO db.tablename ( FROM, SUBJECT, DATE, READ, MAIL ) VALUES ( 'EJackson', 'dfdf', '1270974299', 'false', 'dfdsfdsfd' ) and finaly the structure consists of: CREATE TABLE db.tablename ( `ID` int(12) NOT NULL auto_increment, `FROM` varchar(255) NOT NULL, `SUBJECT` varchar(255) NOT NULL, `DATE` varchar(255) NOT NULL, `READ` varchar(255) NOT NULL, `MAIL` varchar(255) NOT NULL, PRIMARY KEY (`ID`) ) ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=1 ; I cant find anything wrong. Any Help would be much appreciated. ( db.tablename is a replacement for the actual tablename )

  Read the article

• MYSQL and the LIMIT clause

  - by Lizard

  I was wondering if adding a LIMIT 1 to a query would speed up the processing? For example... I have a query that will most of the time return 1 result, but will occasionaly return 10's, 100's or even 1000's of records. But I will only ever want the first record. Would the limit 1 speed things up or make no difference? I know I could use GROUP BY to return 1 result but that would just add more computation. Any thoughts gladly accepted! Thanks

  Read the article

• Add column from another table matching results from first MySQL query

  - by Nemi

  This is my query for available rooms in choosen period: SELECT rooms.room_id FROM rooms WHERE rooms.room_id NOT IN ( SELECT reservations.room_id FROM reservations WHERE ( reservations.arrivaldate >= $arrival_datetime AND reservations.departuredate <= $departure_datetime) OR ( reservations.arrivaldate <= $arrival_datetime AND reservations.departuredate >= $arrival_datetime ) OR ( reservations.arrivaldate <= $departure_datetime AND reservations.departuredate >= $departure_datetime ) ); How to add average room price column for selected period(from $arrival_datetime to $departure_datetime) from another table (room_prices_table), for every room_id returned from above query. So I need to look in columns whos name is same as room_id... room_prices_table: date room0001 room0002 room0003 ... Something like SELECT AVG(room0003) FROM room_prices_table WHERE datum IS BETWEEN $arrival_datetime AND $departure_datetime ??

  Read the article

• MySQL Query exceptions

  - by Wayne

  In one page, it should show records that has the following selected month from the drop down menu and it is set in the ?month=March So the query will do this $sql = "SELECT * FROM schedule WHERE month = '" . Clean($_GET['month']) . "' AND finished='0' ORDER BY date ASC"; But it shows records that has a value of 2 in the finished column and I don't want the query to include this. I've tried $sql = "SELECT * FROM schedule WHERE month = '" . Clean($_GET['month']) . "' AND finished='0' OR finished = '1' OR finished = '3' ORDER BY date ASC"; But it shows records on different months when it shouldn't be. So basically I want the record to exclude the records that has the value of 2 in the record that will not be shown in the page.

  Read the article

• MySQL date query only returns one year, when multiple exist

  - by Bowman

  I'm a part-time designer/developer with a part-time photography business. I've got a database of photos with various bits of metadata attached. I want to query the database and return a list of the years that photos were taken, and the quantity of photos that were taken in that year. In short, I want a list that looks like this: 2010 (35 photos) 2009 (67 photos) 2008 (48 photos) Here's the query I'm using: SELECT YEAR(date) AS year, COUNT(filename) as quantity FROM photos WHERE visible='1' GROUP BY 'year' ORDER BY 'year' DESC Instead of churning out all the possible years (the database includes photos from 2010-2008), this is the sole result: 2010 (35 photos) I've tried a lot of different syntax but at this point I'm giving in and asking for help!

  Read the article

• MySQL query : all records of one table plus count of another table

  - by Ricardo

  Hello Guys! I have 2 tables: User and Picture. The Picture table has the key of the user. So basically each user can have multiple pictures, and each picture belongs to one user. Now, I am trying to make the following query: I want to select all the user info plus the total number of pictures that he has (even if it's 0). How can I do that? Probably it sounds quite simple, but I am trying and trying and can't seem to find the right query. The only thing I could select is this info, but only for users that have at least 1 picture, meaning that the Pictures table has at least one record for that key... But I also wanna consider the users that don't have any. Any idea? Thanks!

  Read the article

< Previous Page | 26 27 28 29 30 31 32 33 34 35 36 37  | Next Page >