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  • Can a large transaction log cause cpu hikes to occur

    - by Simon Rigby
    Hello all, I have a client with a very large database on Sql Server 2005. The total space allocated to the db is 15Gb with roughly 5Gb to the db and 10 Gb to the transaction log. Just recently a web application that is connecting to that db is timing out. I have traced the actions on the web page and examined the queries that execute whilst these web operation are performed. There is nothing untoward in the execution plan. The query itself used multiple joins but completes very quickly. However, the db server's CPU hikes to 100% for a few seconds. The issue occurs when several simultaneous users are working on the system (when I say multiple .. read about 5). Under this timeouts start to occur. I suppose my question is, can a large transaction log cause issues with CPU performance? There is about 12Gb of free space on the disk currently. The configuration is a little out of my hands but the db and log are both on the same physical disk. I appreciate that the log file is massive and needs attending to, but I'm just looking for a heads up as to whether this may cause CPU spikes (ie trying to find the correlation). The timeouts are a recent thing and this app has been responsive for a few years (ie its a recent manifestation). Many Thanks,

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  • syntax error in sql query?

    - by user1550588
    I want to create some tables in database so for that i wright some queries to create table. but i got an error "there was a syntax error in your sql statement". I check all my queries but i am not able to find what syntax i wright wrong. here i attached my sql queries please told me what is wrong with queries. Thanks in advance. CREATE TABLE "WATER&SEWAGE" { "CUSTOMER_ID" VARCHAR, "POTABLE_WATER" VARCHAR, "HOT_WATER" VARCHAR, "SAFETY" VARCHAR, "T/P_VALVE+EXT" VARCHAR, "HEATER_TYPE" VARCHAR, "GAS_VENT_CONDITION" VARCHAR, "FIRE_BOX_CONDITION" VARCHAR, "PRESSURE" VARCHAR, "BACK_FLOW" VARCHAR, "PLUMBING_CONDITION" VARCHAR, "CABINET_CONDITION" VARCHAR, "3_COMP_SINK" VARCHAR, "WATER_HEATER" VARCHAR, "CLEAN_OUT_CONDITION" VARCHAR, "FLOOR_DRAIN" VARCHAR, "FLOOR_SINK" VARCHAR, "MAINTANANCE" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "TIME_AND_TETMPERATURE_REL" ("CUSTOMER_ID" INTEGER, "THERMOMTE_AVAILABLE" VARCHAR, "THERMO_TYPE" VARCHAR, "COLD_TEMP" VARCHAR, "FOOD_TYPE1" VARCHAR, "PROPER_COOLING" VARCHAR, "FOOD_TYPE2" VARCHAR, "COMPLIANCE" VARCHAR, "FOOD_TYPE3" VARCHAR, "TPHC" VARCHAR, "HACCP" VARCHAR, "HOT_HOLDING_TEMP" VARCHAR, "FOOD_TYPE4" VARCHAR, "HOT_TEMP" VARCHAR, "FOOD_TYPE5" VARCHAR, "IMPROPER_REHEATING" VARCHAR, "FOOD_TYPE6" VARCHAR, "FOOD_OUT_OF_TEMP" VARCHAR, "WRITTEN_PLAN_FILES" VARCHAR, "EMPLOYEE_KNOWLEDGE" VARCHAR, "TIME_KEEPING_METHODS" VARCHAR, "HACCP_METHODS" VARCHAR, "CALIBRATION" VARCHAR, "COOKING_TEMP" VARCHAR, "EQUIP_CONDITION" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "PROTECTION_FROM_CONTAMINATION" ("FOOD_ADULTERATION" VARCHAR, "FOOD_SPOILAGE" VARCHAR, "CONTAMINATION" VARCHAR, "FOOD_STORAGE" VARCHAR, "REFRIGRATORS" VARCHAR, "FREEZER" VARCHAR, "FIFO" VARCHAR, "DRY" VARCHAR, "DISHWASHING_CHEMICALS" VARCHAR, "CLEANING" VARCHAR, "SANITIZER" VARCHAR, "SUPPLY_EQUIPMENT" VARCHAR, "PESTICIDES" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR, "CUSTOMER_ID" INTEGER) CREATE TABLE "PHYSICAL_FACILITIES_2" ("CUSTOMER_ID" VARCHAR, "CEILING" VARCHAR, "WINDOWS" VARCHAR, "SPOILS_STORAGE" VARCHAR, "DOORS" VARCHAR, "PERSONAL_LOCKERS" VARCHAR, "FLOORS" VARCHAR, "CONDITION" VARCHAR, "HANDICAP" VARCHAR, "SELF_CLOSING_ROOM" VARCHAR, "TOILETS" VARCHAR, "TOILET_PAPER" VARCHAR, "TOILET_CONDITION" VARCHAR, "VENTILATION_CONDITION" VARCHAR, "MENS" VARCHAR, "MEN'S_VENTILATION" VARCHAR, "MEN'S_FLOOR_DRAWN" VARCHAR, "MEN'S_TOILET_STALLS" VARCHAR, "MEN'S_HAND_SINK" VARCHAR, "MEN'S_TOWELS" VARCHAR, "WOMEN'S" VARCHAR, "WOMEN'S_VENTILATION" VARCHAR, "WOMEN'S_FLOOR_DRAWN" VARCHAR, "WOMEN'S_TOILET_STALLS" VARCHAR, "WOMEN'S_HAND_SINK" VARCHAR, "WOMEN'S_TOWELS" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "PHYSICAL_FACILITIES_1" ("CUSTOMER_ID" VARCHAR, "LIGHTNING" VARCHAR, "KITCHEN" VARCHAR, "STORAGE" VARCHAR, "REFRIGRATION" VARCHAR, "JANITORIAL" VARCHAR, "INTERIOR" VARCHAR, "FIXTURE" VARCHAR, "FOOTCANDLES_1" VARCHAR, "FOOTCANDLES_2" VARCHAR, "FOOTCANDLES_3" VARCHAR, "FOOTCANDLES_4" VARCHAR, "FOOTCANDLES_5" VARCHAR, "EXTERIOR" VARCHAR, "WINDOWS" VARCHAR, "GLASS" VARCHAR, "SCREEN" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "PEST_CONTROL" ("CUSTOMER_ID" VARCHAR, "WALL/CEILING_PIPES" VARCHAR, "SANITATION" VARCHAR, "DOORS" VARCHAR, "SELF_CLOSING" VARCHAR, "RODENT_PROOF" VARCHAR, "VERMIN_PROOFING" VARCHAR, "FOUNDATION" VARCHAR, "ATTIC_VENTS" VARCHAR, "WINDOWS" VARCHAR, "TYPE_SCREENS" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "GENERAL_FOOD_SAFETY_REQ" ("CUSTOMER_ID" VARCHAR, "APPROVED_METHODS" VARCHAR, "DEFROST" VARCHAR, "FROZEN_FOOD" VARCHAR, "FOOD_WASHING" VARCHAR, "PRODUCE_1" VARCHAR, "FRUITS" VARCHAR, "GRAINS" VARCHAR, "VEGETABLES" VARCHAR, "SEPERATE_FROM_CONT" VARCHAR, "RAW" VARCHAR, "PRODUCE_2" VARCHAR, "STORED_BULK" VARCHAR, "STORAGE" VARCHAR, "FIFO" VARCHAR, "REFRIGRATAION" VARCHAR, "STORAGE_TEMP" VARCHAR, "HUMIDITY" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "FOOD_SAFETY_CERTIFICATION" ("CUSTOMER_ID" INTEGER,"OWNER" VARCHAR,"MANAGER" VARCHAR,"EMPLOYEE" VARCHAR,"NAME1" VARCHAR,"NAT'L_REGISTRY1" VARCHAR,"PROMETRIC1" VARCHAR,"SERVESAFE1" VARCHAR,"EXPIRATION1" VARCHAR,"NAME2" VARCHAR,"NAT'L_REGISTRY2" VARCHAR,"PROMETRIC2" VARCHAR,"SERVESAFE2" VARCHAR,"EXPIRATION2" VARCHAR,"COMMENTS" VARCHAR,"FOOD_TEMP" VARCHAR,"DISHWASHER" VARCHAR,"DANGER_ZONE" VARCHAR,"COOLING_FOODS" VARCHAR,"THAWING" VARCHAR,"REHEATING" VARCHAR,"THERMOMETERS" VARCHAR,"FIFO" VARCHAR,"HANDWASH" VARCHAR,"COOKING_TEMP" VARCHAR,"FOOD_POISONING_TYPES" VARCHAR,"EVEDENCE_PHOTOS" VARCHAR) CREATE TABLE "FOOD_FROM_APPROVED_SOURCES" ("CUSTOMER_ID" VARCHAR, "RECEIPTS" VARCHAR, "DELIVERY_DOOR" VARCHAR, "AIR_CURTAIN" VARCHAR, "VELOCITY" VARCHAR, "OFF_LOAD" VARCHAR, "INSPECTS" VARCHAR, "RODENTS" VARCHAR, "WARNING" VARCHAR, "SHELL_FISH" VARCHAR, "GULF_OYSTER" VARCHAR, "FOOD_OUT_OF_TEMP" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTO" VARCHAR) CREATE TABLE "FOOD_FACILITY_SITE_FACTS" ("CUSTOMER_ID" INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL UNIQUE,"DBA" VARCHAR,"DISTRICT" VARCHAR,"CITY" VARCHAR,"ZIPCODE" VARCHAR,"ADDRESS" VARCHAR,"SEAT_NO" VARCHAR,"PHONE_NO" VARCHAR,"OWNER" VARCHAR,"PERSON_IN_CHARGE" VARCHAR,"WEBSITE" VARCHAR,"EMAIL" VARCHAR,"FACILITY_TYPE" VARCHAR,"SQ_FOOTAGE" VARCHAR,"NO_OF_SEATS" VARCHAR,"ALCOHOL_SALES" VARCHAR,"LTD_PREP" VARCHAR,"BUSINESS_LICENCE_NO" VARCHAR,"EXPIRATION" VARCHAR,"COMMENTS" VARCHAR,"EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "FOOD_DISPLAY_SELF_SERVICE" ("CUSTOMER_ID" VARCHAR, "SELF_SERVICE" VARCHAR, "LIDS" VARCHAR, "UTENSILS" VARCHAR, "HOW_OFTEN_CHANGED" VARCHAR, "SCOOP" VARCHAR, "SNEEZ_GUARD" VARCHAR, "DISHES" VARCHAR, "CROSS" VARCHAR, "SENITATION" VARCHAR, "MAINTANANCE" VARCHAR, "MECHANICAL_CONDITION" VARCHAR, "SERVICE_OF_UTENSIL" VARCHAR, "TIME" VARCHAR, "PRPER_FOOD_LABELING" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "EQUIPMENT/UTENSILS/LINES" ("CUSTOMER_ID" VARCHAR, "STORED_DISHES" VARCHAR, "CUPS" VARCHAR, "DAMAGED_DISHES" VARCHAR, "UTENSILS" VARCHAR, "LINES" VARCHAR, "COOLING_EQUIPMENT" VARCHAR, "COOK_WARE_STORAGE" VARCHAR, "CONDITION" VARCHAR, "STORAGE_LOCATION" VARCHAR, "NAPKINS" VARCHAR, "SANITATION" VARCHAR, "ADEQUATE_CAPACITY" VARCHAR, "HAZARDS" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "EMPLOYEE_HEALTH_AND_HYGENE" ("CSTOMER_ID" INTEGER, "COMUNICABLE_DIESEASE" VARCHAR, "WIPING_BAGS" VARCHAR, "DISCHARGE" VARCHAR, "LOCKERS" VARCHAR, "PROPER_HAND_WASH" VARCHAR, "RESTROOM_CONDITION" VARCHAR, "HANDWASH_STATION" VARCHAR, "HAIR_RESTRAINT" VARCHAR, "GLOVES_USED" VARCHAR, "WOUND_CARE" VARCHAR, "FOOD_SAMPLE_TESTING" VARCHAR, "GARMENT_CONDITION" VARCHAR, "HEALTH" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "DISH&WARE_WASHING" ("CUSTOMER_ID" INTEGER, "TYPE_OF_COMPARTMENT_SINK" VARCHAR, "PLUMBING_ISSUE1" VARCHAR, "QUATERNARY_AMMONIA" VARCHAR, "IODINE" VARCHAR, "HOT_WTR_SANIT_TEMP" VARCHAR, "PLUMBING_ISSUE2" VARCHAR, "HOT_WATER" VARCHAR, "TEMP" VARCHAR, "DISHWASHER_TYPE" VARCHAR, "WAQLL_CONDITION" VARCHAR, "SANITIZER_LEVELS" VARCHAR, "CHLORINE" VARCHAR, "SINK_OR_DISHWASHER" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "CORRECTIVE_ACTIONS" ("CUSTOMER_ID" VARCHAR, "CORRECTIVE_ACTIONS" VARCHAR) CREATE TABLE "CONSUMER_ADVISORY" ("CUSTOMER_ID" VARCHAR, "TRUTH_IN_MENU" VARCHAR, "MAJOR_CHAIN" VARCHAR, "TRANS_FAT" VARCHAR, "SCHOOL" VARCHAR, "PROHIBITED" VARCHAR, "CALORIES" VARCHAR, "COMMENTS" VARCHAR, "EVEDINCE_PHOTOS" VARCHAR) CREATE TABLE "COMPLAINS&ENFORCEMENTS" ("CUSTOMER_ID" VARCHAR, "PLAN_SUBMITTED" VARCHAR, "APPROVEL" VARCHAR, "CERTIFICATE_OF_OCCU" VARCHAR, "PRIOR_INSPEK_REPORT" VARCHAR, "LAST_INSPECTION_DATE" VARCHAR, "PERMIT_STATUS" VARCHAR, "POSTED" VARCHAR, "EXPIRATION" VARCHAR, "PERMIT_DISPLAYED" VARCHAR, "INSPECTION_REPORT_POSTING" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR)

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  • How do I track down sporadic ASP.NET performance problems in a production environment?

    - by Steve Wortham
    I've had sporadic performance problems with my website for awhile now. 90% of the time the site is very fast. But occasionally it is just really, really slow. I mean like 5-10 seconds load time kind of slow. I thought I had narrowed it down to the server I was on so I migrated everything to a new dedicated server from a completely different web hosting company. But the problems continue. I guess what I'm looking for is a good tool that'll help me track down the problem, because it's clearly not the hardware. I'd like to be able to log certain events in my ASP.NET code and have that same logger also track server performance/resources at the time. If I can then look back at the logs then I can see what exactly my website was doing at the time of extreme slowness. Is there a .NET logging system that'll allow me to make calls into it with code while simultaneously tracking performance? What would you recommend?

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  • How to reuse results with a schema for end of day stock-data

    - by Vishalrix
    I am creating a database schema to be used for technical analysis like top-volume gainers, top-price gainers etc.I have checked answers to questions here, like the design question. Having taken the hint from boe100 's answer there I have a schema modeled pretty much on it, thusly: Symbol - char 6 //primary Date - date //primary Open - decimal 18, 4 High - decimal 18, 4 Low - decimal 18, 4 Close - decimal 18, 4 Volume - int Right now this table containing End Of Day( EOD) data will be about 3 million rows for 3 years. Later when I get/need more data it could be 20 million rows. The front end will be asking requests like "give me the top price gainers on date X over Y days". That request is one of the simpler ones, and as such is not too costly, time wise, I assume. But a request like " give me top volume gainers for the last 10 days, with the previous 100 days acting as baseline", could prove 10-100 times costlier. The result of such a request would be a float which signifies how many times the volume as grown etc. One option I have is adding a column for each such result. And if the user asks for volume gain in 10 days over 20 days, that would require another table. The total such tables could easily cross 100, specially if I start using other results as tables, like MACD-10, MACD-100. each of which will require its own column. Is this a feasible solution? Another option being that I keep the result in cached html files and present them to the user. I dont have much experience in web-development, so to me it looks messy; but I could be wrong ( ofc!) . Is that a option too? Let me add that I am/will be using mod_perl to present the response to the user. With much of the work on mysql database being done using perl. I would like to have a response time of 1-2 seconds.

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  • NULL-keys for key/value table

    - by user72185
    (Using Oracle) I have a table with key/value pairs like this: create table MESSAGE_INDEX ( KEY VARCHAR2(256) not null, VALUE VARCHAR2(4000) not null, MESSAGE_ID NUMBER not null ) I now want to find all the messages where key = 'someKey' and value is 'val1', 'val2' or 'val3' - OR value is null in which case there will be no entry in the table at all. This is to save space; there would be a large number of keys with null values if I stored them all. I think this works: SELECT message_id FROM message_index idx WHERE ((key = 'someKey' AND value IN ('val1', 'val2', 'val3')) OR NOT EXISTS (SELECT 1 FROM message_index WHERE key = 'someKey' AND idx.message_id = message_id)) But is is extremely slow. Takes 8 seconds with 700K records in message_index and there will be many more records and more search criteria when moving outside of my test environment. Primary key is key, value, message_id: add constraint PK_KEY_VALUE primary key (KEY, VALUE, MESSAGE_ID) And I added another index for message_id, to speed up searching for missing keys: create index IDX_MESSAGE_ID on MESSAGE_INDEX (MESSAGE_ID) I will be doing several of these key/value lookups in every search, not just one as shown above. So far I am doing them nested, where output id's of one level is the input to the next. E.g.: SELECT message_id from message_index WHERE (key/value compare) AND message_id IN ( SELECT ... and so on ) What can I do to speed this up?

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  • Jboss 5.1.0: java.lang.LinkageError: loader constraint violation for class javax.sql.DataSource

    - by lawrencexu
    have read quite a lot about this error, the reason is 1) more than one jar containing this class have been include into the classpath, 2)include the jar twice or more, but in my case, this class is jdk class, and I have search no this class have been found under my application. any clue would be very helpful. exception stack: 2012-10-31 14:09:58,319 WARN [org.jboss.detailed.classloader.ClassLoaderManager] (http-0.0.0.0-8080-1:) Unexpected error during load of:javax.sql.DataSource java.lang.LinkageError: loader constraint violation: loader (instance of org/jboss/classloader/spi/base/BaseClassLoader) previously initiated loading for a different type with name "javax/sql/DataSource" at java.lang.ClassLoader.defineClass1(Native Method) at java.lang.ClassLoader.defineClassCond(ClassLoader.java:631) at java.lang.ClassLoader.defineClass(ClassLoader.java:615) at org.jboss.classloader.spi.base.BaseClassLoader.access$200(BaseClassLoader.java:67) at org.jboss.classloader.spi.base.BaseClassLoader$2.run(BaseClassLoader.java:633) at org.jboss.classloader.spi.base.BaseClassLoader$2.run(BaseClassLoader.java:592) at java.security.AccessController.doPrivileged(Native Method) at org.jboss.classloader.spi.base.BaseClassLoader.loadClassLocally(BaseClassLoader.java:591) at org.jboss.classloader.spi.base.BaseClassLoader.loadClassLocally(BaseClassLoader.java:568) at org.jboss.classloader.spi.base.BaseDelegateLoader.loadClass(BaseDelegateLoader.java:135) at org.jboss.classloader.spi.filter.FilteredDelegateLoader.loadClass(FilteredDelegateLoader.java:131) at org.jboss.classloader.spi.base.ClassLoadingTask$ThreadTask.run(ClassLoadingTask.java:455) at org.jboss.classloader.spi.base.ClassLoaderManager.nextTask(ClassLoaderManager.java:267) at org.jboss.classloader.spi.base.ClassLoaderManager.process(ClassLoaderManager.java:166) at org.jboss.classloader.spi.base.BaseClassLoaderDomain.loadClass(BaseClassLoaderDomain.java:287) at org.jboss.classloader.spi.base.BaseClassLoaderDomain.loadClass(BaseClassLoaderDomain.java:1163) at org.jboss.classloader.spi.base.BaseClassLoader.loadClassFromDomain(BaseClassLoader.java:862) at org.jboss.classloader.spi.base.BaseClassLoader.doLoadClass(BaseClassLoader.java:502) at org.jboss.classloader.spi.base.BaseClassLoader.loadClass(BaseClassLoader.java:447) at java.lang.ClassLoader.loadClass(ClassLoader.java:247) at com.lombardrisk.webgui.dwr.ajax_search.UmbrellaNettingFundsSearch.getBranchesByAgreementId(UmbrellaNettingFundsSearch.java:199) at com.lombardrisk.webgui.dwr.ajax_search.UmbrellaNettingFundsSearch.buildConditionOfPrinAndCpty(UmbrellaNettingFundsSearch.java:177) at com.lombardrisk.webgui.dwr.ajax_search.UmbrellaNettingFundsSearch.getFunds(UmbrellaNettingFundsSearch.java:58) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.directwebremoting.impl.ExecuteAjaxFilter.doFilter(ExecuteAjaxFilter.java:34) at org.directwebremoting.impl.DefaultRemoter$1.doFilter(DefaultRemoter.java:428) at org.directwebremoting.impl.DefaultRemoter.execute(DefaultRemoter.java:431) at org.directwebremoting.impl.DefaultRemoter.execute(DefaultRemoter.java:283) at org.directwebremoting.servlet.PlainCallHandler.handle(PlainCallHandler.java:52) at org.directwebremoting.servlet.UrlProcessor.handle(UrlProcessor.java:101) at org.directwebremoting.servlet.DwrServlet.doPost(DwrServlet.java:146) at javax.servlet.http.HttpServlet.service(HttpServlet.java:637) at javax.servlet.http.HttpServlet.service(HttpServlet.java:717) at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:290) at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206) at com.lombardrisk.webgui.filter.ValidRequestFilter.doFilter(ValidRequestFilter.java:41) at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:235) at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206) at org.jboss.web.tomcat.filters.ReplyHeaderFilter.doFilter(ReplyHeaderFilter.java:96) at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:235) at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206) at org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:235) at org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:191) at org.jboss.web.tomcat.security.SecurityAssociationValve.invoke(SecurityAssociationValve.java:183) at org.apache.catalina.authenticator.AuthenticatorBase.invoke(AuthenticatorBase.java:525) at org.jboss.web.tomcat.security.JaccContextValve.invoke(JaccContextValve.java:95) at org.jboss.web.tomcat.security.SecurityContextEstablishmentValve.process(SecurityContextEstablishmentValve.java:126) at org.jboss.web.tomcat.security.SecurityContextEstablishmentValve.invoke(SecurityContextEstablishmentValve.java:70) at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:127) at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:102) at org.jboss.web.tomcat.service.jca.CachedConnectionValve.invoke(CachedConnectionValve.java:158) at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:109) at org.jboss.web.tomcat.service.request.ActiveRequestResponseCacheValve.internalProcess(ActiveRequestResponseCacheValve.java:74) at org.jboss.web.tomcat.service.request.ActiveRequestResponseCacheValve.invoke(ActiveRequestResponseCacheValve.java:47) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:330) at org.apache.coyote.http11.Http11Processor.process(Http11Processor.java:829) at org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.process(Http11Protocol.java:599) at org.apache.tomcat.util.net.JIoEndpoint$Worker.run(JIoEndpoint.java:451) at java.lang.Thread.run(Thread.java:662)

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  • Speeding up inner-joins and subqueries while restricting row size and table membership

    - by hiffy
    I'm developing an rss feed reader that uses a bayesian filter to filter out boring blog posts. The Stream table is meant to act as a FIFO buffer from which the webapp will consume 'entries'. I use it to store the temporary relationship between entries, users and bayesian filter classifications. After a user marks an entry as read, it will be added to the metadata table (so that a user isn't presented with material they have already read), and deleted from the stream table. Every three minutes, a background process will repopulate the Stream table with new entries (i.e. whenever the daemon adds new entries after the checks the rss feeds for updates). Problem: The query I came up with is hella slow. More importantly, the Stream table only needs to hold one hundred unread entries at a time; it'll reduce duplication, make processing faster and give me some flexibility with how I display the entries. The query (takes about 9 seconds on 3600 items with no indexes): insert into stream(entry_id, user_id) select entries.id, subscriptions_users.user_id from entries inner join subscriptions_users on subscriptions_users.subscription_id = entries.subscription_id where subscriptions_users.user_id = 1 and entries.id not in (select entry_id from metadata where metadata.user_id = 1) and entries.id not in (select entry_id from stream where user_id = 1); The query explained: insert into stream all of the entries from a user's subscription list (subscriptions_users) that the user has not read (i.e. do not exist in metadata) and which do not already exist in the stream. Attempted solution: adding limit 100 to the end speeds up the query considerably, but upon repeated executions will keep on adding a different set of 100 entries that do not already exist in the table (with each successful query taking longer and longer). This is close but not quite what I wanted to do. Does anyone have any advice (nosql?) or know a more efficient way of composing the query?

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  • What's the most efficient query?

    - by Aaron Carlino
    I have a table named Projects that has the following relationships: has many Contributions has many Payments In my result set, I need the following aggregate values: Number of unique contributors (DonorID on the Contribution table) Total contributed (SUM of Amount on Contribution table) Total paid (SUM of PaymentAmount on Payment table) Because there are so many aggregate functions and multiple joins, it gets messy do use standard aggregate functions the the GROUP BY clause. I also need the ability to sort and filter these fields. So I've come up with two options: Using subqueries: SELECT Project.ID AS PROJECT_ID, (SELECT SUM(PaymentAmount) FROM Payment WHERE ProjectID = PROJECT_ID) AS TotalPaidBack, (SELECT COUNT(DISTINCT DonorID) FROM Contribution WHERE RecipientID = PROJECT_ID) AS ContributorCount, (SELECT SUM(Amount) FROM Contribution WHERE RecipientID = PROJECT_ID) AS TotalReceived FROM Project; Using a temporary table: DROP TABLE IF EXISTS Project_Temp; CREATE TEMPORARY TABLE Project_Temp (project_id INT NOT NULL, total_payments INT, total_donors INT, total_received INT, PRIMARY KEY(project_id)) ENGINE=MEMORY; INSERT INTO Project_Temp (project_id,total_payments) SELECT `Project`.ID, IFNULL(SUM(PaymentAmount),0) FROM `Project` LEFT JOIN `Payment` ON ProjectID = `Project`.ID GROUP BY 1; INSERT INTO Project_Temp (project_id,total_donors,total_received) SELECT `Project`.ID, IFNULL(COUNT(DISTINCT DonorID),0), IFNULL(SUM(Amount),0) FROM `Project` LEFT JOIN `Contribution` ON RecipientID = `Project`.ID GROUP BY 1 ON DUPLICATE KEY UPDATE total_donors = VALUES(total_donors), total_received = VALUES(total_received); SELECT * FROM Project_Temp; Tests for both are pretty comparable, in the 0.7 - 0.8 seconds range with 1,000 rows. But I'm really concerned about scalability, and I don't want to have to re-engineer everything as my tables grow. What's the best approach?

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  • javax.naming.NameNotFoundException: Name [comp/env] is not bound in this Context. Unable to find [comp] error with java scheduler

    - by Morgan Azhari
    What I'm trying to do is to update my database after a period of time. So I'm using java scheduler and connection pooling. I don't know why but my code only working once. It will print: init success success javax.naming.NameNotFoundException: Name [comp/env] is not bound in this Context. Unable to find [comp]. at org.apache.naming.NamingContext.lookup(NamingContext.java:820) at org.apache.naming.NamingContext.lookup(NamingContext.java:168) at org.apache.naming.SelectorContext.lookup(SelectorContext.java:158) at javax.naming.InitialContext.lookup(InitialContext.java:411) at test.Pool.main(Pool.java:25) ---> line 25 is Context envContext = (Context)initialContext.lookup("java:/comp/env"); I don't know why it only works once. I already test it if I didn't running it without java scheduler and it works fine. No error whatsoerver. Don't know why i get this error if I running it using scheduler. Hope someone can help me. My connection pooling code: public class Pool { public DataSource main() { try { InitialContext initialContext = new InitialContext(); Context envContext = (Context)initialContext.lookup("java:/comp/env"); DataSource datasource = new DataSource(); datasource = (DataSource)envContext.lookup("jdbc/test"); return datasource; } catch (Exception ex) { ex.printStackTrace(); } return null; } } my web.xml: <web-app version="3.0" xmlns="http://java.sun.com/xml/ns/javaee" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://java.sun.com/xml/ns/javaee http://java.sun.com/xml/ns/javaee/web-app_3_0.xsd"> <listener> <listener-class> package.test.Pool</listener-class> </listener> <resource-ref> <description>DB Connection Pooling</description> <res-ref-name>jdbc/test</res-ref-name> <res-type>javax.sql.DataSource</res-type> <res-auth>Container</res-auth> </resource-ref> Context.xml: <?xml version="1.0" encoding="UTF-8"?> <Context path="/project" reloadable="true"> <Resource auth="Container" defaultReadOnly="false" driverClassName="com.mysql.jdbc.Driver" factory="org.apache.tomcat.jdbc.pool.DataSourceFactory" initialSize="0" jdbcInterceptors="org.apache.tomcat.jdbc.pool.interceptor.ConnectionState;org.apache.tomcat.jdbc.pool.interceptor.StatementFinalizer" jmxEnabled="true" logAbandoned="true" maxActive="300" maxIdle="50" maxWait="10000" minEvictableIdleTimeMillis="300000" minIdle="30" name="jdbc/test" password="test" removeAbandoned="true" removeAbandonedTimeout="60" testOnBorrow="true" testOnReturn="false" testWhileIdle="true" timeBetweenEvictionRunsMillis="30000" type="javax.sql.DataSource" url="jdbc:mysql://localhost:3306/database?noAccessToProcedureBodies=true" username="root" validationInterval="30000" validationQuery="SELECT 1"/> </Context> my java scheduler public class Scheduler extends HttpServlet{ public void init() throws ServletException { System.out.println("init success"); try{ Scheduling_test test = new Scheduling_test(); ScheduledExecutorService executor = Executors.newScheduledThreadPool(100); ScheduledFuture future = executor.scheduleWithFixedDelay(test, 1, 60 ,TimeUnit.SECONDS); }catch(Exception e){ e.printStackTrace(); } } } Schedule_test public class Scheduling_test extends Thread implements Runnable{ public void run(){ Updating updating = new Updating(); updating.run(); } } updating public class Updating{ public void run(){ ResultSet rs = null; PreparedStatement p = null; StringBuilder sb = new StringBuilder(); Pool pool = new Pool(); Connection con = null; DataSource datasource = null; try{ datasource = pool.main(); con=datasource.getConnection(); sb.append("SELECT * FROM database"); p = con.prepareStatement(sb.toString()); rs = p.executeQuery(); rs.close(); con.close(); p.close(); datasource.close(); System.out.println("success"); }catch (Exception e){ e.printStackTrace(); } }

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  • MySQL query - if not exists - insert into - else - update

    - by user3180931
    I made a simple document generator by the form, this form saves everything to mysql database, It works great, but when someone type a the same 'nrumowy' it creates a new row in mysql, 'nrumowy' is unique, so when someone adds a form with the same 'nrumowy' I want to just update existing data in mysql, I have that code: $con=mysqli_connect("localhost","login","pass","database"); // Check connection if (mysqli_connect_errno()) { echo "Failed to connect to MySQL: " . mysqli_connect_error(); } // escape variables for security $numerklienta = mysqli_real_escape_string($con, $_POST['numerklienta']); $name = mysqli_real_escape_string($con, $_POST['name']); $hours = mysqli_real_escape_string($con, $_POST['hours']); $date = mysqli_real_escape_string($con, $_POST['date']); $beginDate = mysqli_real_escape_string($con, $_POST['beginDate']); $nrdomu = mysqli_real_escape_string($con, $_POST['nrdomu']); $telefon = mysqli_real_escape_string($con, $_POST['telefon']); $fax = mysqli_real_escape_string($con, $_POST['fax']); $nip = mysqli_real_escape_string($con, $_POST['nip']); $email = mysqli_real_escape_string($con, $_POST['email']); $stronawww = mysqli_real_escape_string($con, $_POST['stronawww']); $branza = mysqli_real_escape_string($con, $_POST['branza']); $vatkodpocztowy = mysqli_real_escape_string($con, $_POST['vatkodpocztowy']); $vatmiejscowosc = mysqli_real_escape_string($con, $_POST['vatmiejscowosc']); $vatulica = mysqli_real_escape_string($con, $_POST['vatulica']); $vatnrdomu = mysqli_real_escape_string($con, $_POST['vatnrdomu']); $vatemail = mysqli_real_escape_string($con, $_POST['vatemail']); $vatosoba = mysqli_real_escape_string($con, $_POST['vatosoba']); $datapublikacji = mysqli_real_escape_string($con, $_POST['datapublikacji']); $rabat = mysqli_real_escape_string($con, $_POST['rabat']); $wartoscnetto = mysqli_real_escape_string($con, $_POST['wartoscnetto']); $typreklamy = mysqli_real_escape_string($con, $_POST['typreklamy']); $inne = mysqli_real_escape_string($con, $_POST['inne']); $inne2 = mysqli_real_escape_string($con, $_POST['inne2']); $inne3 = mysqli_real_escape_string($con, $_POST['inne3']); $zaliczka = mysqli_real_escape_string($con, $_POST['zaliczka']); $liczbarat1 = mysqli_real_escape_string($con, $_POST['liczbarat1']); $zaakceptowaneprzez = mysqli_real_escape_string($con, $_POST['zaakceptowaneprzez']); $telzam = mysqli_real_escape_string($con, $_POST['telzam']); $datapodpis = mysqli_real_escape_string($con, $_POST['datapodpis']); $nrumowy = mysqli_real_escape_string($con, $_POST['nrumowy']); $sql="IF NOT EXISTS ( SELECT * FROM zam WHERE nrumowy = '$nrumowy' ) THEN INSERT INTO zam (numerklienta, name, hours, date, beginDate, nrdomu, telefon, fax, nip, email, stronawww, branza, vatkodpocztowy, vatmiejscowosc, vatulica, vatnrdomu, vatemail, vatosoba, datapublikacji, rabat, wartoscnetto, typreklamy, inne, inne2, inne3, zaliczka, liczbarat1, zaakceptowaneprzez, telzam, datapodpis, nrumowy) VALUES ('$numerklienta', '$name', '$hours', '$date', '$beginDate', '$nrdomu', '$telefon', '$fax', '$nip', '$email', '$stronawww', '$branza', '$vatkodpocztowy', '$vatmiejscowosc', '$vatulica', '$vatnrdomu', '$vatemail', '$vatosoba', '$datapublikacji', '$rabat', '$wartoscnetto', '$typreklamy', '$inne', '$inne2', '$inne3', '$zaliczka', '$liczbarat1', '$zaakceptowaneprzez', '$telzam', '$datapodpis', '$nrumowy' ) ELSE UPDATE zam SET name = '$name', numerklienta = '$numerklienta', hours = '$hours', date = '$date', beginDate = '$beginDate', nrdomu = '$nrdomu', telefon = '$telefon', fax = '$fax', nip = '$nip', email = '$email', stronawww = '$stronawww', branza = '$branza', vatkodpocztowy = '$vatkodpocztowy', vatmiejscowosc = '$vatmiejscowosc', vatulica = '$vatulica', vatnrdomu = '$vatnrdomu', vatemail = '$vatemail', vatosoba = '$vatosoba', datapublikacji = '$datapublikacji', rabat = '$rabat', wartoscnetto = '$wartoscnetto', typreklamy = '$typreklamy', inne = '$inne', inne2 = '$inne2', inne3 = '$inne3', zaliczka = '$zaliczka', liczbarat1 = '$liczbarat1', zaakceptowaneprzez = '$zaakceptowaneprzez', telzam = '$telzam', datapodpis = '$datapodpis' WHERE nrumowy ='$nrumowy' END IF"; if (!mysqli_query($con,$sql)) { die('Error: ' . mysqli_error($con)); } mysqli_close($con); This query without " select..... " and "else update" just a 'insert into' works great, also when I change this 'insert into' to 'update' but I don't know how to make this variable if not exists - insert into - else update

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  • How can I optimize the SELECT statement running on an Oracle database?

    - by Elvis Lou
    I have a SELECT statement in ORACLE: SELECT COUNT(DISTINCT ds1.endpoint_msisdn) multiple30, dss1.service, dss1.endpoint_provisioning_id, dss1.company_scope, Nvl(x.subscription_status, dss1.subscription_status) subscription_status FROM daily_summary ds1 join daily_summary ds2 ON ds1.endpoint_msisdn = ds2.endpoint_msisdn, daily_summary_static dss1, daily_summary_static dss2, (SELECT NULL subscription_status FROM dual UNION ALL SELECT -2 subscription_status FROM dual) x WHERE ds1.summary_ts >= To_date('10-04-2012', 'dd-mm-yyyy') - 30 AND ds1.summary_ts <= To_date('10-04-2012', 'dd-mm-yyyy') AND dss1.last_active >= To_date('10-04-2012', 'dd-mm-yyyy') - 30 AND dss1.last_active <= To_date('10-04-2012', 'dd-mm-yyyy') AND dss2.last_active >= To_date('10-04-2012', 'dd-mm-yyyy') - 30 AND dss2.last_active <= To_date('10-04-2012', 'dd-mm-yyyy') AND dss1.service <> dss2.service AND ( dss1.company_scope = 2 OR dss1.company_scope = 5 ) AND ( dss2.company_scope = 2 OR dss2.company_scope = 5 ) AND dss1.company_scope = dss2.company_scope AND ds1.endpoint_noc_id = dss1.endpoint_noc_id AND ds1.endpoint_host_id = dss1.endpoint_host_id AND ds1.endpoint_instance_id = dss1.endpoint_instance_id AND ds2.endpoint_noc_id = dss2.endpoint_noc_id AND ds2.endpoint_host_id = dss2.endpoint_host_id AND ds2.endpoint_instance_id = dss2.endpoint_instance_id AND dss1.endpoint_provisioning_id = dss2.endpoint_provisioning_id AND Least(1, ds1.total_actions) = 1 AND Least(1, ds2.total_actions) = 1 GROUP BY dss1.service, dss1.endpoint_provisioning_id, dss1.company_scope, Nvl(x.subscription_status, dss1.subscription_status); This query took about 26 minutes to return in my environment, but if I remove the section: dss1.last_active >= to_date('10-04-2012','dd-mm-yyyy') - 30 AND dss1.last_active <= to_date('10-04-2012','dd-mm-yyyy') AND dss2.last_active >= to_date('10-04-2012','dd-mm-yyyy') - 30 AND dss2.last_active <= to_date('10-04-2012','dd-mm-yyyy') AND it only took 20 seconds to run. We have index on the column last_active, I don't know why the section slow down the performance so much? any ideas?

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  • Improving performance in this query

    - by Luiz Gustavo F. Gama
    I have 3 tables with user logins: sis_login = administrators tb_rb_estrutura = coordinators tb_usuario = clients I created a VIEW to unite all these users by separating them by levels, as follows: create view `login_names` as select `n1`.`cod_login` as `id`, '1' as `level`, `n1`.`nom_user` as `name` from `dados`.`sis_login` `n1` union all select `n2`.`id` as `id`, '2' as `level`, `n2`.`nom_funcionario` as `name` from `tb_rb_estrutura` `n2` union all select `n3`.`cod_usuario` as `id`, '3' as `level`, `n3`.`dsc_nome` as `name` from `tb_usuario` `n3`; So, can occur up to three ids repeated for different users, which is why I separated by levels. This VIEW is just to return me user name, according to his id and level. considering it has about 500,000 registered users, this view takes about 1 second to load. too much time, but is becomes very small when I need to return the latest posts on the forum of my website. The tables of the forums return the user id and level, then look for a name in this VIEW. I have registered 18 forums. When I run the query, it takes one second for each forum = 18 seconds. OMG. This page loads every time somebody enter my website. This is my query: select `x`.`forum_id`, `x`.`topic_id`, `l`.`nome` from ( select `t`.`forum_id`, `t`.`topic_id`, `t`.`data`, `t`.`user_id`, `t`.`user_level` from `tb_forum_topics` `t` union all select `a`.`forum_id`, `a`.`topic_id`, `a`.`data`, `a`.`user_id`, `a`.`user_level` from `tb_forum_answers` `a` ) `x` left outer join `login_names` `l` on `l`.`id` = `x`.`user_id` and `l`.`level` = `x`.`user_level` group by `x`.`forum_id` asc USING EXPLAIN: id select_type table type possible_keys key key_len ref rows Extra 1 PRIMARY <derived2> ALL NULL NULL NULL NULL 6 Using temporary; Using filesort 1 PRIMARY <derived4> ALL NULL NULL NULL NULL 530415 4 DERIVED n1 ALL NULL NULL NULL NULL 114 5 UNION n2 ALL NULL NULL NULL NULL 2 6 UNION n3 ALL NULL NULL NULL NULL 530299 NULL UNION RESULT ALL NULL NULL NULL NULL NULL 2 DERIVED t ALL NULL NULL NULL NULL 3 3 UNION r ALL NULL NULL NULL NULL 3 NULL UNION RESULT ALL NULL NULL NULL NULL NULL Somebody can help me or give a suggestion?

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  • mysql_close doesn't kill locked sql requests

    - by Nikita
    I use mysqld Ver 5.1.37-2-log for debian-linux-gnu I perform mysql calls from c++ code with functions mysql_query. The problem occurs when mysql_query execute procedure, procedure locked on locked table, so mysql_query hangs. If send kill signal to application then we can see lock until table is locked. Create the following SQL table and procedure CREATE TABLE IF NOT EXISTS `tabletolock` ( `id` INT NOT NULL AUTO_INCREMENT, PRIMARY KEY (`id`) )ENGINE = InnoDB; DELIMITER $$ DROP PROCEDURE IF EXISTS `LOCK_PROCEDURE` $$ CREATE PROCEDURE `LOCK_PROCEDURE`() BEGIN SELECT id INTO @id FROM tabletolock; END $$ DELOMITER; There are sql commands to reproduce the problem: 1. in one terminal execute lock tables tabletolock write; 2. in another terminal execute call LOCK_PROCEDURE(); 3. In first terminal exeute show processlist and see | 2492 | root | localhost | syn_db | Query | 12 | Locked | SELECT id INTO @id FROM tabletolock | Then perfrom Ctrl-C in second terminal to interrupt our procudere and see processlist again. It is not changed, we already see locked select request and can teminate it by unlock tables or kill commands. Problem described is occured with mysql command line client. Also such problem exists when we use functions mysql_query and mysql_close. Example of c code: #include <iostream> #include <mysql/mysql.h> #include <mysql/errmsg.h> #include <signal.h> // g++ -Wall -g -fPIC -lmysqlclient dbtest.cpp using namespace std; MYSQL * connection = NULL; void closeconnection() { if(connection != NULL) { cout << "close connection !\n"; mysql_close(connection); mysql_thread_end(); delete connection; mysql_library_end(); } } void sigkill(int s) { closeconnection(); signal(SIGINT, NULL); raise(s); } int main(int argc, char ** argv) { signal(SIGINT, sigkill); connection = new MYSQL; mysql_init(connection); mysql_options(connection, MYSQL_READ_DEFAULT_GROUP, "nnfc"); if (!mysql_real_connect(connection, "127.0.0.1", "user", "password", "db", 3306, NULL, CLIENT_MULTI_RESULTS)) { delete connection; cout << "cannot connect\n"; return -1; } cout << "before procedure call\n"; mysql_query(connection, "CALL LOCK_PROCEDURE();"); cout << "after procedure call\n"; closeconnection(); return 0; } Compile it, and perform the folloing actions: 1. in first terminal local tables tabletolock write; 2. run program ./a.out 3. interrupt program Ctrl-C. on the screen we see that closeconnection function is called, so connection is closed. 4. in first terminal execute show processlist and see that procedure was not intrrupted. My question is how to terminate such locked calls from c code? Thank you in advance!

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  • Hibernate - strange order of native SQL parameters

    - by Xorty
    Hello, I am trying to use native MySQL's MD5 crypto func, so I defined custom insert in my mapping file. <hibernate-mapping package="tutorial"> <class name="com.xorty.mailclient.client.domain.User" table="user"> <id name="login" type="string" column="login"></id> <property name="password"> <column name="password" /> </property> <sql-insert>INSERT INTO user (login,password) VALUES ( ?, MD5(?) )</sql-insert> </class> </hibernate-mapping> Then I create User (pretty simple POJO with just 2 Strings - login and password) and try to persist it. session.beginTransaction(); // we have no such user in here yet User junitUser = (User) session.load(User.class, "junit_user"); assert (null == junitUser); // insert new user junitUser = new User(); junitUser.setLogin("junit_user"); junitUser.setPassword("junitpass"); session.save(junitUser); session.getTransaction().commit(); What actually happens? User is created, but with reversed parameters order. He has login "junitpass" and "junit_user" is MD5 encrypted and stored as password. What did I wrong? Thanks EDIT: ADDING POJO class package com.xorty.mailclient.client.domain; import java.io.Serializable; /** * POJO class representing user. * @author MisoV * @version 0.1 */ public class User implements Serializable { /** * Generated UID */ private static final long serialVersionUID = -969127095912324468L; private String login; private String password; /** * @return login */ public String getLogin() { return login; } /** * @return password */ public String getPassword() { return password; } /** * @param login the login to set */ public void setLogin(String login) { this.login = login; } /** * @param password the password to set */ public void setPassword(String password) { this.password = password; } /** * @see java.lang.Object#toString() * @return login */ @Override public String toString() { return login; } /** * Creates new User. * @param login User's login. * @param password User's password. */ public User(String login, String password) { setLogin(login); setPassword(password); } /** * Default constructor */ public User() { } /** * @return hashCode * @see java.lang.Object#hashCode() */ @Override public int hashCode() { final int prime = 31; int result = 1; result = prime * result + ((null == login) ? 0 : login.hashCode()); result = prime * result + ((null == password) ? 0 : password.hashCode()); return result; } /** * @param obj Compared object * @return True, if objects are same. Else false. * @see java.lang.Object#equals(java.lang.Object) */ @Override public boolean equals(Object obj) { if (this == obj) { return true; } if (obj == null) { return false; } if (!(obj instanceof User)) { return false; } User other = (User) obj; if (login == null) { if (other.login != null) { return false; } } else if (!login.equals(other.login)) { return false; } if (password == null) { if (other.password != null) { return false; } } else if (!password.equals(other.password)) { return false; } return true; } }

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  • Round date to 10 minutes interval

    - by Peter Lang
    I have a DATE column that I want to round to the next-lower 10 minute interval in a query (see example below). I managed to do it by truncating the seconds and then subtracting the last digit of minutes. WITH test_data AS ( SELECT TO_DATE('2010-01-01 10:00:00', 'YYYY-MM-DD HH24:MI:SS') d FROM dual UNION SELECT TO_DATE('2010-01-01 10:05:00', 'YYYY-MM-DD HH24:MI:SS') d FROM dual UNION SELECT TO_DATE('2010-01-01 10:09:59', 'YYYY-MM-DD HH24:MI:SS') d FROM dual UNION SELECT TO_DATE('2010-01-01 10:10:00', 'YYYY-MM-DD HH24:MI:SS') d FROM dual UNION SELECT TO_DATE('2099-01-01 10:00:33', 'YYYY-MM-DD HH24:MI:SS') d FROM dual ) -- #end of test-data SELECT d, TRUNC(d, 'MI') - MOD(TO_CHAR(d, 'MI'), 10) / (24 * 60) FROM test_data And here is the result: 01.01.2010 10:00:00    01.01.2010 10:00:00 01.01.2010 10:05:00    01.01.2010 10:00:00 01.01.2010 10:09:59    01.01.2010 10:00:00 01.01.2010 10:10:00    01.01.2010 10:10:00 01.01.2099 10:00:33    01.01.2099 10:00:00 Works as expected, but is there a better way? EDIT: I was curious about performance, so I did the following test with 500.000 rows and (not really) random dates. I am going to add the results as comments to the provided solutions. DECLARE t TIMESTAMP := SYSTIMESTAMP; BEGIN FOR i IN ( WITH test_data AS ( SELECT SYSDATE + ROWNUM / 5000 d FROM dual CONNECT BY ROWNUM <= 500000 ) SELECT TRUNC(d, 'MI') - MOD(TO_CHAR(d, 'MI'), 10) / (24 * 60) FROM test_data ) LOOP NULL; END LOOP; dbms_output.put_line( SYSTIMESTAMP - t ); END; This approach took 03.24 s.

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  • trouble connecting to MySql DB (PHP)

    - by user332817
    Hi I have the following PHP code to connect to my db. <?php ob_start(); $host="localhost"; // Host name $username="root"; // Mysql username $password=""; // Mysql password $db_name="test"; // Database name $tbl_name="members"; // Table name // Connect to server and select databse. mysql_connect("$host", "$username", "$password")or die("cannot connect"); ?> however I get the following error: Warning: mysql_connect() [function.mysql-connect]: [2002] A connection attempt failed because the connected party did not (trying to connect via tcp://localhost:3306) in C:\Program Files (x86)\EasyPHP-5.3.2i\www\checklogin.php on line 11 Warning: mysql_connect() [function.mysql-connect]: A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond. in C:\Program Files (x86)\EasyPHP-5.3.2i\www\checklogin.php on line 11 Fatal error: Maximum execution time of 30 seconds exceeded in C:\Program Files (x86)\EasyPHP-5.3.2i\www\checklogin.php on line 11 I am able to add a db/tables via phpmyadmin but I cant connect using php. here is a screenshot of my phpmyadmin page: http://img294.imageshack.us/img294/1589/sqls.jpg any help would be appreciated, thanks in advance.

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  • Efficient update of SQLite table with many records

    - by blackrim
    I am trying to use sqlite (sqlite3) for a project to store hundreds of thousands of records (would like sqlite so users of the program don't have to run a [my]sql server). I have to update hundreds of thousands of records sometimes to enter left right values (they are hierarchical), but have found the standard update table set left_value = 4, right_value = 5 where id = 12340; to be very slow. I have tried surrounding every thousand or so with begin; .... update... update table set left_value = 4, right_value = 5 where id = 12340; update... .... commit; but again, very slow. Odd, because when I populate it with a few hundred thousand (with inserts), it finishes in seconds. I am currently trying to test the speed in python (the slowness is at the command line and python) before I move it to the C++ implementation, but right now this is way to slow and I need to find a new solution unless I am doing something wrong. Thoughts? (would take open source alternative to SQLite that is portable as well)

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  • MySQL left outer join is slow

    - by Ryan Doherty
    Hi, hoping to get some help with this query, I've worked at it for a while now and can't get it any faster: SELECT date, count(id) as 'visits' FROM dates LEFT OUTER JOIN visits ON (dates.date = DATE(visits.start) and account_id = 40 ) WHERE date >= '2010-12-13' AND date <= '2011-1-13' GROUP BY date ORDER BY date ASC That query takes about 8 seconds to run. I've added indexes on dates.date, visits.start, visits.account_id and visits.start+visits.account_id and can't get it to run any faster. Table structure (only showing relevant columns in visit table): create table visits ( `id` int(11) NOT NULL AUTO_INCREMENT, `account_id` int(11) NOT NULL, `start` DATETIME NOT NULL, `end` DATETIME NULL, PRIMARY KEY (`id`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8; CREATE TABLE `dates` ( `date` date NOT NULL, PRIMARY KEY (`date`) ) ENGINE=MyISAM DEFAULT CHARSET=latin1; dates table contains all days from 2010-1-1 to 2020-1-1 (~3k rows). visits table contains about 400k rows dating from 2010-6-1 to yesterday. I'm using the date table so the join will return 0 visits for days there were no visits. Results I want for reference: +------------+--------+ | date | visits | +------------+--------+ | 2010-12-13 | 301 | | 2010-12-14 | 356 | | 2010-12-15 | 423 | | 2010-12-16 | 332 | | 2010-12-17 | 346 | | 2010-12-18 | 226 | | 2010-12-19 | 213 | | 2010-12-20 | 311 | | 2010-12-21 | 273 | | 2010-12-22 | 286 | | 2010-12-23 | 241 | | 2010-12-24 | 149 | | 2010-12-25 | 102 | | 2010-12-26 | 174 | | 2010-12-27 | 258 | | 2010-12-28 | 348 | | 2010-12-29 | 392 | | 2010-12-30 | 395 | | 2010-12-31 | 278 | | 2011-01-01 | 241 | | 2011-01-02 | 295 | | 2011-01-03 | 369 | | 2011-01-04 | 438 | | 2011-01-05 | 393 | | 2011-01-06 | 368 | | 2011-01-07 | 435 | | 2011-01-08 | 313 | | 2011-01-09 | 250 | | 2011-01-10 | 345 | | 2011-01-11 | 387 | | 2011-01-12 | 0 | | 2011-01-13 | 0 | +------------+--------+ Thanks in advance for any help!

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  • Simple aggregating query very slow in PostgreSql, any way to improve?

    - by Ash
    HI I have a table which holds files and their types such as CREATE TABLE files ( id SERIAL PRIMARY KEY, name VARCHAR(255), filetype VARCHAR(255), ... ); and another table for holding file properties such as CREATE TABLE properties ( id SERIAL PRIMARY KEY, file_id INTEGER CONSTRAINT fk_files REFERENCES files(id), size INTEGER, ... // other property fields ); The file_id field has an index. The file table has around 800k lines, and the properties table around 200k (not all files necessarily have/need a properties). I want to do aggregating queries, for example find the average size and standard deviation for all file types. But it's very slow - around 70 seconds for the latter query. I understand it needs a sequential scan, but still it seems too much. Here's the query SELECT f.filetype, avg(size), stddev(size) FROM files as f, properties as pr WHERE f.id = pr.file_id GROUP BY f.filetype; and the explain HashAggregate (cost=140292.20..140293.94 rows=116 width=13) (actual time=74013.621..74013.954 rows=110 loops=1) -> Hash Join (cost=6780.19..138945.47 rows=179564 width=13) (actual time=1520.104..73156.531 rows=179499 loops=1) Hash Cond: (f.id = pr.file_id) -> Seq Scan on files f (cost=0.00..108365.41 rows=1140941 width=9) (actual time=0.998..62569.628 rows=805270 loops=1) -> Hash (cost=3658.64..3658.64 rows=179564 width=12) (actual time=1131.053..1131.053 rows=179499 loops=1) -> Seq Scan on properties pr (cost=0.00..3658.64 rows=179564 width=12) (actual time=0.753..557.171 rows=179574 loops=1) Total runtime: 74014.520 ms Any ideas why it is so slow/how to make it faster?

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  • making an SQL date column visible to a Drupal view

    - by Donal
    I'm trying to make a table visible to Views. One of the columns has type date (as opposed to a Unix timestamp). The example I initially tried to copy from is in modules/comment.views.inc in the Views module: // timestamp (when comment was posted) $data['comments']['timestamp'] = array( 'title' => t('Post date'), 'help' => t('Date and time of when the comment was posted.'), 'field' => array( 'handler' => 'views_handler_field_date', 'click sortable' => TRUE, ), 'sort' => array( 'handler' => 'views_handler_sort_date', ), 'filter' => array( 'handler' => 'views_handler_filter_date', ), ); This makes the dates, which are all in the past year or so, show up as "1 Jan 1970 00:33", so evidently a value of '2010-05-12', for example, is being interpreted as 2010 seconds past 1 Jan 1970 00:00. Can anyone point me to a correct way of exporting date columns? EDIT: I'm following up on some clues found at http://drupal.org/node/476774 .

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  • Using the login Details via Application

    - by ramin ss
    I have a CURL(in C++) to send my user and pass to remauth.php file so i think i do something wrong on remuth.php ( because i am basic in php and my program can not run because the auth not passed.) I use login via Application. my CURL: bool Auth_PerformSessionLogin(const char* username, const char* password) { curl_global_init(CURL_GLOBAL_ALL); CURL* curl = curl_easy_init(); if (curl) { char url[255]; _snprintf(url, sizeof(url), "http://%s/remauth.php", "SITEADDRESS.com"); char buf[8192] = {0}; char postBuf[8192]; _snprintf(postBuf, sizeof(postBuf), "%s&&%s", username, password); curl_easy_setopt(curl, CURLOPT_URL, url); curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, AuthDataReceived); curl_easy_setopt(curl, CURLOPT_WRITEDATA, (void*)&buf); curl_easy_setopt(curl, CURLOPT_USERAGENT, "IW4M"); curl_easy_setopt(curl, CURLOPT_FAILONERROR, true); curl_easy_setopt(curl, CURLOPT_POST, 1); curl_easy_setopt(curl, CURLOPT_POSTFIELDS, postBuf); curl_easy_setopt(curl, CURLOPT_POSTFIELDSIZE, -1); curl_easy_setopt(curl, CURLOPT_SSL_VERIFYPEER, false); CURLcode code = curl_easy_perform(curl); curl_easy_cleanup(curl); curl_global_cleanup(); if (code == CURLE_OK) { return Auth_ParseResultBuffer(buf); } else { Auth_Error(va("Could not reach the SITEADDRESS.comt server. Error code from CURL: %x.", code)); } return false; } curl_global_cleanup(); return false; } and my remauth.php: <?php ob_start(); $host=""; // Host name $dbusername=""; // Mysql username $dbpassword=""; // Mysql password $db_name=""; // Database name $tbl_name=""; // Table name // Connect to server and select databse. mysql_connect("$host", "$dbusername", "$dbpassword") or die(mysql_error()); mysql_select_db("$db_name") or die(mysql_error()); // Define $username and $password //$username=$username; //$password=md5($_POST['password']); //$password=$password; $username=$_POST['username']; $password=$_POST['password']; //$post_item[]='action='.$_POST['submit']; // To protect MySQL injection (more detail about MySQL injection) $username = stripslashes($username); $password = stripslashes($password); $username = mysql_real_escape_string($username); $password = mysql_real_escape_string($password); $sql="SELECT * FROM $tbl_name WHERE username='$username'"; $result=mysql_query($sql); // Mysql_num_row is counting table row $count=mysql_num_rows($result); // If result matched $username and $password, table row must be 1 row if($count==1){ $row = mysql_fetch_assoc($result); if (md5(md5($row['salt']).md5($password)) == $row['password']){ session_register("username"); session_register("password"); echo "#"; return true; } else { echo "o"; return false; } } else{ echo "o"; return false; } ob_end_flush(); ?> ///////////////////////////////////

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  • How to distribute ranking using MySQL Query and PHP

    - by nkp
    I have to distribute ranking to the 5000 students in an exam. Ranking is based on the score and the time taken (in seconds) to obtain that score. For example is 5 students have same score, then taken will be the criteria to calculate their ranks otherwise score should be the criteria to calculate their ranks. Following is my table tbRank ID StudID Score Time Date Rank 1 11 8 60 09-11-2013 2 22 6 45 09-11-2013 3 33 4 76 09-11-2013 4 44 6 67 09-11-2013 5 55 8 35 09-11-2013 6 66 8 35 08-11-2013 7 77 8 39 08-11-2013 Now rank column in above table should be updated as: ID StudID Score Time Date Rank 1 11 8 60 09-11-2013 2 2 22 6 45 09-11-2013 3 3 33 4 76 09-11-2013 5 4 44 6 67 09-11-2013 4 5 55 8 35 09-11-2013 1 6 66 8 35 08-11-2013 1 7 77 8 39 08-11-2013 2 I want to make a MySQL Query to do this business. Similarly there can be more than 10000 records in the table. So I need an optimized query for this functionality. Note: I am using PHP and MYSQL. Update: Everyday almost 5000 new entries will be created in the table and after all insertions are made, rank column will be updated once in a day. Now please suggest me the best way to do this. If I update rank column in the table, then only once I will have to do it, otherwise everytime while fetching the rank of the student, I will have to make calculations.

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