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  • Delivering the Integrated Portal Experience!

    - by Michael Snow
    v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Guest post by Richard Maldonado, Principal Product Manager, Oracle WebCenter Portal Organizations are still struggling to standardize on a user interaction platform which can meet the needs of all their target audiences.  This has not only resulted in inefficient and inconsistent experiences for their users, but it also creates inefficiencies (productivity and costs) for the departments that manage the applications and information systems.  Portals have historically been the unifying platform that provide IT with a common interface which can securely surface the most relevant interactions for a given user and/or group of users.  However, organizations have found that the technologies available have either not provided the flexibility necessary to address all of their use cases, or they rely too much on IT resources to manage, maintain, and evolve.  Empowering  the Business Groups The core issue that IT departments face with delivering portal experiences is having enough resources to respond and address the influx of requirements which come in from the business.  Commonly, when a business group wants a new portal site established for their group, they will submit a request to the IT dept, the IT dept then assigns a resource to an administrator and/or developer to build.  Unfortunately, this approach is not scalable, it can be a time consuming activity which requires significant interaction between the business owner and the IT resource.  A modern user interaction platforms should empower the business groups by providing them tools which they can use to build and manage the portal experiences without the need for IT's involvement.  And because business groups rarely have technical resources (developers) on staff, the tools must be easy enough that virtually any business user could use.  In addition, the tool must be powerful enough to allow them to build the experience that they need, things such as creating a whole new portal, add/manage page and page hierarchy, manage user/group access, add/modify components within the page, etc.  This balance between ease-of-use and flexibility is key to the successful adoption of tools which will ultimately reduce the burden on IT, respond to the needs of the business, and deliver high-value experiences for the users.  Ready or Not, Here They Come: Smartphones and Tablets Recently, several studies have highlighted that smartphone and tablet-style devices have overtaken PC's in both sales and usage.  This shift is further driving organizations to revaluate how they're delivering data, information, and applications to their users.  Users are expecting to get the same level of access and interaction, but in a ways which are optimized for the capabilities of the device that they are using.  Expect More With the ever growing number of new IT projects and flat/shrinking budgets, organizations are looking for comprehensive solutions which can deliver integrated web experiences that are tailored for the users and optimized for mobile devices.  Piecing together a number of point solutions is no longer an option.  A modern portal technology should not only address the traditional needs of integrating and surfacing back-end applications/information, but it should enable the business through easy-to-use tools and accelerate the delivery of mobile optimized experiences.   v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} 12.00 Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} 12.00 Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-family:"Calibri","sans-serif"; mso-ascii- mso-ascii-theme-font:minor-latin; mso-hansi- mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} WebCenter in Action Series: Qualcomm Provides a Seamless Experience for Customers with Oracle WebCenter Featuring Qualcomm & Keste 12.00 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 -"/ /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} 12.00 Normal 0 false false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-family:"Calibri","sans-serif"; mso-fareast- mso-bidi-font-family:"Times New Roman";}

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  • Load balancing with multiple gateways

    - by ttouch
    I have to different ISPs, each on each own network. The main connects via ethernet and the secondary via wifi. The two networks have no relation at all. I just connect to them simultaneously. The reason I want to load balance between them is to achieve higher Internet speeds. Note: I have no advanced network hardware. Just my pc and the two routers that I have no access... main network: if: eth0 gw: 192.168.178.1 my ip: 192.168.178.95 speed: 400 kbit/s secondary network: if: wlan0 gw: 192.168.1.1 my ip: 192.168.1.95 speed: 300 kbit/s A diagram to explain the situation: http://i.imgur.com/NZdsv.jpg I'm on Arch Linux x64. I use netcfg to configure the interfaces Configs: # /etc/network.d/main CONNECTION='ethernet' DESCRIPTION='A basic static ethernet connection using iproute' INTERFACE='eth0' IP='static' ADDR='192.168.178.95' # /etc/network.d/second CONNECTION='wireless' DESCRIPTION='A simple WEP encrypted wireless connection' INTERFACE='wlan0' SECURITY='wep' ESSID='wifi_essid' KEY='the_password' IP="static" ADDR='192.168.1.95' And I use iptables to load balance, rules: #!/bin/bash /usr/sbin/ip route flush table ISP1 2>/dev/null /usr/sbin/ip rule del fwmark 101 table ISP1 2>/dev/null /usr/sbin/ip route add table ISP1 192.168.178.0/24 dev eth0 proto kernel scope link src 192.168.178.95 metric 202 /usr/sbin/ip route add table ISP1 default via 192.168.178.1 dev eth0 /usr/sbin/ip rule add fwmark 101 table ISP1 /usr/sbin/ip route flush table ISP2 2>/dev/null /usr/sbin/ip rule del fwmark 102 table ISP2 2>/dev/null /usr/sbin/ip route add table ISP2 192.168.1.0/24 dev wlan0 proto kernel scope link src 192.168.1.95 metric 202 /usr/sbin/ip route add table ISP2 default via 192.168.1.1 dev wlan0 /usr/sbin/ip rule add fwmark 102 table ISP2 /usr/sbin/iptables -t mangle -F /usr/sbin/iptables -t mangle -X /usr/sbin/iptables -t mangle -N MARK-gw1 /usr/sbin/iptables -t mangle -A MARK-gw1 -m comment --comment 'send via 192.168.178.1' -j MARK --set-mark 101 /usr/sbin/iptables -t mangle -A MARK-gw1 -j CONNMARK --save-mark /usr/sbin/iptables -t mangle -A MARK-gw1 -j RETURN /usr/sbin/iptables -t mangle -N MARK-gw2 /usr/sbin/iptables -t mangle -A MARK-gw2 -m comment --comment 'send via 192.168.1.1' -j MARK --set-mark 102 /usr/sbin/iptables -t mangle -A MARK-gw2 -j CONNMARK --save-mark /usr/sbin/iptables -t mangle -A MARK-gw2 -j RETURN /usr/sbin/iptables -t mangle -A PREROUTING -j CONNMARK --restore-mark /usr/sbin/iptables -t mangle -A PREROUTING -m comment --comment "this stream is already marked; escape early" -m mark ! --mark 0 -j ACCEPT /usr/sbin/iptables -t mangle -A PREROUTING -m comment --comment 'prevent asynchronous routing' -i eth0 -m conntrack --ctstate NEW -j MARK-gw1 /usr/sbin/iptables -t mangle -A PREROUTING -m comment --comment 'prevent asynchronous routing' -i wlan0 -m conntrack --ctstate NEW -j MARK-gw2 /usr/sbin/iptables -t mangle -N DEF_POL /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'default balancing' -p tcp -m conntrack --ctstate ESTABLISHED,RELATED -j CONNMARK --restore-mark /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'default balancing' -p udp -m conntrack --ctstate ESTABLISHED,RELATED -j CONNMARK --restore-mark /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw1 tcp' -p tcp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 0 -j MARK-gw1 /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw1 tcp' -p tcp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 0 -j ACCEPT /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw2 tcp' -p tcp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 1 -j MARK-gw2 /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw2 tcp' -p tcp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 1 -j ACCEPT /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw1 udp' -p udp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 0 -j MARK-gw1 /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw1 udp' -p udp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 0 -j ACCEPT /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw2 udp' -p udp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 1 -j MARK-gw2 /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw2 udp' -p udp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 1 -j ACCEPT /usr/sbin/iptables -t mangle -A PREROUTING -j DEF_POL /usr/sbin/iptables -t nat -A POSTROUTING -m comment --comment 'snat outbound eth0' -o eth0 -s 192.168.0.0/16 -m mark --mark 101 -j SNAT --to-source 192.168.178.95 /usr/sbin/iptables -t nat -A POSTROUTING -m comment --comment 'snat outbound wlan0' -o wlan0 -s 192.168.0.0/16 -m mark --mark 102 -j SNAT --to-source 192.168.1.95 /usr/sbin/ip route flush cache (this script was made by fukawi2, I don't know how to use iptables) but I have no Internet connection... output of iptables -t mangle -nvL Chain PREROUTING (policy ACCEPT 1254K packets, 1519M bytes) pkts bytes target prot opt in out source destination 1278K 1535M CONNMARK all -- * * 0.0.0.0/0 0.0.0.0/0 CONNMARK restore 21532 15M ACCEPT all -- * * 0.0.0.0/0 0.0.0.0/0 /* this stream is already marked; escape early */ mark match ! 0x0 582 72579 MARK-gw1 all -- eth0 * 0.0.0.0/0 0.0.0.0/0 /* prevent asynchronous routing */ ctstate NEW 2376 696K MARK-gw2 all -- wlan0 * 0.0.0.0/0 0.0.0.0/0 /* prevent asynchronous routing */ ctstate NEW 1257K 1520M DEF_POL all -- * * 0.0.0.0/0 0.0.0.0/0 Chain INPUT (policy ACCEPT 1276K packets, 1535M bytes) pkts bytes target prot opt in out source destination Chain FORWARD (policy ACCEPT 0 packets, 0 bytes) pkts bytes target prot opt in out source destination Chain OUTPUT (policy ACCEPT 870K packets, 97M bytes) pkts bytes target prot opt in out source destination Chain POSTROUTING (policy ACCEPT 870K packets, 97M bytes) pkts bytes target prot opt in out source destination Chain DEF_POL (1 references) pkts bytes target prot opt in out source destination 1236K 1517M CONNMARK tcp -- * * 0.0.0.0/0 0.0.0.0/0 /* default balancing */ ctstate RELATED,ESTABLISHED CONNMARK restore 15163 2041K CONNMARK udp -- * * 0.0.0.0/0 0.0.0.0/0 /* default balancing */ ctstate RELATED,ESTABLISHED CONNMARK restore 555 33176 MARK-gw1 tcp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw1 tcp */ ctstate NEW statistic mode nth every 2 555 33176 ACCEPT tcp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw1 tcp */ ctstate NEW statistic mode nth every 2 277 16516 MARK-gw2 tcp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw2 tcp */ ctstate NEW statistic mode nth every 2 packet 1 277 16516 ACCEPT tcp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw2 tcp */ ctstate NEW statistic mode nth every 2 packet 1 1442 384K MARK-gw1 udp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw1 udp */ ctstate NEW statistic mode nth every 2 1442 384K ACCEPT udp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw1 udp */ ctstate NEW statistic mode nth every 2 720 189K MARK-gw2 udp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw2 udp */ ctstate NEW statistic mode nth every 2 packet 1 720 189K ACCEPT udp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw2 udp */ ctstate NEW statistic mode nth every 2 packet 1 Chain MARK-gw1 (3 references) pkts bytes target prot opt in out source destination 2579 490K MARK all -- * * 0.0.0.0/0 0.0.0.0/0 /* send via 192.168.178.1 */ MARK set 0x65 2579 490K CONNMARK all -- * * 0.0.0.0/0 0.0.0.0/0 CONNMARK save 2579 490K RETURN all -- * * 0.0.0.0/0 0.0.0.0/0 Chain MARK-gw2 (3 references) pkts bytes target prot opt in out source destination 3373 901K MARK all -- * * 0.0.0.0/0 0.0.0.0/0 /* send via 192.168.1.1 */ MARK set 0x66 3373 901K CONNMARK all -- * * 0.0.0.0/0 0.0.0.0/0 CONNMARK save 3373 901K RETURN all -- * * 0.0.0.0/0 0.0.0.0/0

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  • MySQL query, 2 similar servers, 2 minute difference in execution times

    - by mr12086
    I had a similar question on stack overflow, but it seems to be more server/mysql setup related than coding. The queries below all execute instantly on our development server where as they can take upto 2 minutes 20 seconds. The query execution time seems to be affected by home ambiguous the LIKE string's are. If they closely match a country that has few matches it will take less time, and if you use something like 'ge' for germany - it will take longer to execute. But this doesn't always work out like that, at times its quite erratic. Sending data appears to be the culprit but why and what does that mean. Also memory on production looks to be quite low (free memory)? Production: Intel Quad Xeon E3-1220 3.1GHz 4GB DDR3 2x 1TB SATA in RAID1 Network speed 100Mb Ubuntu Development Intel Core i3-2100, 2C/4T, 3.10GHz 500 GB SATA - No RAID 4GB DDR3 UPDATE 2 : mysqltuner output: [prod] -------- General Statistics -------------------------------------------------- [--] Skipped version check for MySQLTuner script [OK] Currently running supported MySQL version 5.1.61-0ubuntu0.10.04.1 [OK] Operating on 64-bit architecture -------- Storage Engine Statistics ------------------------------------------- [--] Status: +Archive -BDB -Federated +InnoDB -ISAM -NDBCluster [--] Data in MyISAM tables: 103M (Tables: 180) [--] Data in InnoDB tables: 491M (Tables: 19) [!!] Total fragmented tables: 38 -------- Security Recommendations ------------------------------------------- [OK] All database users have passwords assigned -------- Performance Metrics ------------------------------------------------- [--] Up for: 77d 4h 6m 1s (53M q [7.968 qps], 14M conn, TX: 87B, RX: 12B) [--] Reads / Writes: 98% / 2% [--] Total buffers: 58.0M global + 2.7M per thread (151 max threads) [OK] Maximum possible memory usage: 463.8M (11% of installed RAM) [OK] Slow queries: 0% (12K/53M) [OK] Highest usage of available connections: 22% (34/151) [OK] Key buffer size / total MyISAM indexes: 16.0M/10.6M [OK] Key buffer hit rate: 98.7% (162M cached / 2M reads) [OK] Query cache efficiency: 20.7% (7M cached / 36M selects) [!!] Query cache prunes per day: 3934 [OK] Sorts requiring temporary tables: 1% (3K temp sorts / 230K sorts) [!!] Joins performed without indexes: 71068 [OK] Temporary tables created on disk: 24% (3M on disk / 13M total) [OK] Thread cache hit rate: 99% (690 created / 14M connections) [!!] Table cache hit rate: 0% (64 open / 85M opened) [OK] Open file limit used: 12% (128/1K) [OK] Table locks acquired immediately: 99% (16M immediate / 16M locks) [!!] InnoDB data size / buffer pool: 491.9M/8.0M -------- Recommendations ----------------------------------------------------- General recommendations: Run OPTIMIZE TABLE to defragment tables for better performance Enable the slow query log to troubleshoot bad queries Adjust your join queries to always utilize indexes Increase table_cache gradually to avoid file descriptor limits Variables to adjust: query_cache_size (> 16M) join_buffer_size (> 128.0K, or always use indexes with joins) table_cache (> 64) innodb_buffer_pool_size (>= 491M) [dev] -------- General Statistics -------------------------------------------------- [--] Skipped version check for MySQLTuner script [OK] Currently running supported MySQL version 5.1.62-0ubuntu0.11.10.1 [!!] Switch to 64-bit OS - MySQL cannot currently use all of your RAM -------- Storage Engine Statistics ------------------------------------------- [--] Status: +Archive -BDB -Federated +InnoDB -ISAM -NDBCluster [--] Data in MyISAM tables: 185M (Tables: 632) [--] Data in InnoDB tables: 967M (Tables: 38) [!!] Total fragmented tables: 73 -------- Security Recommendations ------------------------------------------- [OK] All database users have passwords assigned -------- Performance Metrics ------------------------------------------------- [--] Up for: 1d 2h 26m 9s (5K q [0.058 qps], 1K conn, TX: 4M, RX: 1M) [--] Reads / Writes: 99% / 1% [--] Total buffers: 58.0M global + 2.7M per thread (151 max threads) [OK] Maximum possible memory usage: 463.8M (11% of installed RAM) [OK] Slow queries: 0% (0/5K) [OK] Highest usage of available connections: 1% (2/151) [OK] Key buffer size / total MyISAM indexes: 16.0M/18.6M [OK] Key buffer hit rate: 99.9% (60K cached / 36 reads) [OK] Query cache efficiency: 44.5% (1K cached / 2K selects) [OK] Query cache prunes per day: 0 [OK] Sorts requiring temporary tables: 0% (0 temp sorts / 44 sorts) [OK] Temporary tables created on disk: 24% (162 on disk / 666 total) [OK] Thread cache hit rate: 99% (2 created / 1K connections) [!!] Table cache hit rate: 1% (64 open / 4K opened) [OK] Open file limit used: 8% (88/1K) [OK] Table locks acquired immediately: 100% (1K immediate / 1K locks) [!!] InnoDB data size / buffer pool: 967.7M/8.0M -------- Recommendations ----------------------------------------------------- General recommendations: Run OPTIMIZE TABLE to defragment tables for better performance Enable the slow query log to troubleshoot bad queries Increase table_cache gradually to avoid file descriptor limits Variables to adjust: table_cache (> 64) innodb_buffer_pool_size (>= 967M) UPDATE 1: When testing the queries listed here there is usually no more than one other query taking place, and usually none. Because production is actually handling apache requests that development gets very few of as it's only myself and 1 other who accesses it - could the 4GB of RAM be getting exhausted by using the single machine for both apache and mysql server? Production: sudo hdparm -tT /dev/sda /dev/sda: Timing cached reads: 24872 MB in 2.00 seconds = 12450.72 MB/sec Timing buffered disk reads: 368 MB in 3.00 seconds = 122.49 MB/sec sudo hdparm -tT /dev/sdb /dev/sdb: Timing cached reads: 24786 MB in 2.00 seconds = 12407.22 MB/sec Timing buffered disk reads: 350 MB in 3.00 seconds = 116.53 MB/sec Server version(mysql + ubuntu versions): 5.1.61-0ubuntu0.10.04.1 Development: sudo hdparm -tT /dev/sda /dev/sda: Timing cached reads: 10632 MB in 2.00 seconds = 5319.40 MB/sec Timing buffered disk reads: 400 MB in 3.01 seconds = 132.85 MB/sec Server version(mysql + ubuntu versions): 5.1.62-0ubuntu0.11.10.1 ORIGINAL DATA : This query is NOT the query in question but is related so ill post it. SELECT f.form_question_has_answer_id FROM form_question_has_answer f INNER JOIN project_company_has_user p ON f.form_question_has_answer_user_id = p.project_company_has_user_user_id INNER JOIN company c ON p.project_company_has_user_company_id = c.company_id INNER JOIN project p2 ON p.project_company_has_user_project_id = p2.project_id INNER JOIN user u ON p.project_company_has_user_user_id = u.user_id INNER JOIN form f2 ON p.project_company_has_user_project_id = f2.form_project_id WHERE (f2.form_template_name = 'custom' AND p.project_company_has_user_garbage_collection = 0 AND p.project_company_has_user_project_id = '29') AND (LCASE(c.company_country) LIKE '%ge%' OR LCASE(c.company_country) LIKE '%abcde%') AND f.form_question_has_answer_form_id = '174' And the explain plan for the above query is, run on both dev and production produce the same plan. +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+----------------------------------------------------+------+-------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+----------------------------------------------------+------+-------------+ | 1 | SIMPLE | p2 | const | PRIMARY | PRIMARY | 4 | const | 1 | Using index | | 1 | SIMPLE | f | ref | form_question_has_answer_form_id,form_question_has_answer_user_id | form_question_has_answer_form_id | 4 | const | 796 | Using where | | 1 | SIMPLE | u | eq_ref | PRIMARY | PRIMARY | 4 | new_klarents.f.form_question_has_answer_user_id | 1 | Using index | | 1 | SIMPLE | p | ref | project_company_has_user_unique_key,project_company_has_user_user_id,project_company_has_user_company_id,project_company_has_user_project_id | project_company_has_user_user_id | 4 | new_klarents.f.form_question_has_answer_user_id | 1 | Using where | | 1 | SIMPLE | f2 | ref | form_project_id | form_project_id | 4 | const | 15 | Using where | | 1 | SIMPLE | c | eq_ref | PRIMARY | PRIMARY | 4 | new_klarents.p.project_company_has_user_company_id | 1 | Using where | +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+----------------------------------------------------+------+-------------+ This query takes 2 minutes ~20 seconds to execute. The query that is ACTUALLY being run on the server is this one: SELECT COUNT(*) AS num_results FROM (SELECT f.form_question_has_answer_id FROM form_question_has_answer f INNER JOIN project_company_has_user p ON f.form_question_has_answer_user_id = p.project_company_has_user_user_id INNER JOIN company c ON p.project_company_has_user_company_id = c.company_id INNER JOIN project p2 ON p.project_company_has_user_project_id = p2.project_id INNER JOIN user u ON p.project_company_has_user_user_id = u.user_id INNER JOIN form f2 ON p.project_company_has_user_project_id = f2.form_project_id WHERE (f2.form_template_name = 'custom' AND p.project_company_has_user_garbage_collection = 0 AND p.project_company_has_user_project_id = '29') AND (LCASE(c.company_country) LIKE '%ge%' OR LCASE(c.company_country) LIKE '%abcde%') AND f.form_question_has_answer_form_id = '174' GROUP BY f.form_question_has_answer_id;) dctrn_count_query; With explain plans (again same on dev and production): +----+-------------+-------+--------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+----------------------------------------------------+------+------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------+--------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+----------------------------------------------------+------+------------------------------+ | 1 | PRIMARY | NULL | NULL | NULL | NULL | NULL | NULL | NULL | Select tables optimized away | | 2 | DERIVED | p2 | const | PRIMARY | PRIMARY | 4 | | 1 | Using index | | 2 | DERIVED | f | ref | form_question_has_answer_form_id,form_question_has_answer_user_id | form_question_has_answer_form_id | 4 | | 797 | Using where | | 2 | DERIVED | p | ref | project_company_has_user_unique_key,project_company_has_user_user_id,project_company_has_user_company_id,project_company_has_user_project_id,project_company_has_user_garbage_collection | project_company_has_user_user_id | 4 | new_klarents.f.form_question_has_answer_user_id | 1 | Using where | | 2 | DERIVED | f2 | ref | form_project_id | form_project_id | 4 | | 15 | Using where | | 2 | DERIVED | c | eq_ref | PRIMARY | PRIMARY | 4 | new_klarents.p.project_company_has_user_company_id | 1 | Using where | | 2 | DERIVED | u | eq_ref | PRIMARY | PRIMARY | 4 | new_klarents.p.project_company_has_user_user_id | 1 | Using where; Using index | +----+-------------+-------+--------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+----------------------------------------------------+------+------------------------------+ On the production server the information I have is as follows. Upon execution: +-------------+ | num_results | +-------------+ | 3 | +-------------+ 1 row in set (2 min 14.28 sec) Show profile: +--------------------------------+------------+ | Status | Duration | +--------------------------------+------------+ | starting | 0.000016 | | checking query cache for query | 0.000057 | | Opening tables | 0.004388 | | System lock | 0.000003 | | Table lock | 0.000036 | | init | 0.000030 | | optimizing | 0.000016 | | statistics | 0.000111 | | preparing | 0.000022 | | executing | 0.000004 | | Sorting result | 0.000002 | | Sending data | 136.213836 | | end | 0.000007 | | query end | 0.000002 | | freeing items | 0.004273 | | storing result in query cache | 0.000010 | | logging slow query | 0.000001 | | logging slow query | 0.000002 | | cleaning up | 0.000002 | +--------------------------------+------------+ On development the results are as follows. +-------------+ | num_results | +-------------+ | 3 | +-------------+ 1 row in set (0.08 sec) Again the profile for this query: +--------------------------------+----------+ | Status | Duration | +--------------------------------+----------+ | starting | 0.000022 | | checking query cache for query | 0.000148 | | Opening tables | 0.000025 | | System lock | 0.000008 | | Table lock | 0.000101 | | optimizing | 0.000035 | | statistics | 0.001019 | | preparing | 0.000047 | | executing | 0.000008 | | Sorting result | 0.000005 | | Sending data | 0.086565 | | init | 0.000015 | | optimizing | 0.000006 | | executing | 0.000020 | | end | 0.000004 | | query end | 0.000004 | | freeing items | 0.000028 | | storing result in query cache | 0.000005 | | removing tmp table | 0.000008 | | closing tables | 0.000008 | | logging slow query | 0.000002 | | cleaning up | 0.000005 | +--------------------------------+----------+ If i remove user and/or project innerjoins the query is reduced to 30s. Last bit of information I have: Mysqlserver and Apache are on the same box, there is only one box for production. Production output from top: before & after. top - 15:43:25 up 78 days, 12:11, 4 users, load average: 1.42, 0.99, 0.78 Tasks: 162 total, 2 running, 160 sleeping, 0 stopped, 0 zombie Cpu(s): 0.1%us, 50.4%sy, 0.0%ni, 49.5%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 4037868k total, 3772580k used, 265288k free, 243704k buffers Swap: 3905528k total, 265384k used, 3640144k free, 1207944k cached top - 15:44:31 up 78 days, 12:13, 4 users, load average: 1.94, 1.23, 0.87 Tasks: 160 total, 2 running, 157 sleeping, 0 stopped, 1 zombie Cpu(s): 0.2%us, 50.6%sy, 0.0%ni, 49.3%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 4037868k total, 3834300k used, 203568k free, 243736k buffers Swap: 3905528k total, 265384k used, 3640144k free, 1207804k cached But this isn't a good representation of production's normal status so here is a grab of it from today outside of executing the queries. top - 11:04:58 up 79 days, 7:33, 4 users, load average: 0.39, 0.58, 0.76 Tasks: 156 total, 1 running, 155 sleeping, 0 stopped, 0 zombie Cpu(s): 3.3%us, 2.8%sy, 0.0%ni, 93.9%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 4037868k total, 3676136k used, 361732k free, 271480k buffers Swap: 3905528k total, 268736k used, 3636792k free, 1063432k cached Development: This one doesn't change during or after. top - 15:47:07 up 110 days, 22:11, 7 users, load average: 0.17, 0.07, 0.06 Tasks: 210 total, 2 running, 208 sleeping, 0 stopped, 0 zombie Cpu(s): 0.1%us, 0.2%sy, 0.0%ni, 99.7%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 4111972k total, 1821100k used, 2290872k free, 238860k buffers Swap: 4183036k total, 66472k used, 4116564k free, 921072k cached

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  • RDLC filtering nested tables

    - by aprescott
    I am creating an RDLC report where the dataset consists of several datatables. There is one parent table and several child tables. What I would like to do is display relevant data from each child table for each row in the parent table. Here is a simplified example: table1 = "Purchase" has columns PurhcaseID, PurchaseNumber, PurchaseDate table2 = "PurchasedItem" has columns PurchaseItemID, PurhcaseID, ItemDescription In my RDLC, I have a Purchase table grouped on PurchaseDate and would like to display the PurchasedItems for each Purchase. The current solution uses a subreport, but I do not like this because it leaves an ugly empty space when there is no data for the subreport display. (I would be fine with using a subreport if I could properly hide it without leaving an empty space.) I am not able to rewrite the stored procedure to return a single table, either. How are others dealing with this scenario?

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  • jQuery to add vertical scroll bar for a fixed height div container

    - by Michael Mao
    Hi all: This is uni homework so sorry about :my password protected url Please enter usersame as "uts" and password as "10479475", without the wrapper quotes. It it almost completed, please follow simple steps to see where my problem dwells: step1: click on any continent highlighted on world map; step2: click on any city marked on continent map; step3: enter quantity ranging from 1 to 6 into the upper-right table; step4 : there you go, in the table below, once row is equal or greater than 3, then the size of table starts to "overlap" on top of the footer section and continues to grow, which is not what I want. I want to achieve the effect that the table size has a limited max-height, so once actual height exceeds the threshold, then I can have a vertical scroll bar so to "stack up" my table and not to break the overall structure. It turns out that my lazy initial design now gets myself stuck in a problem... Any suggestion and hint on how to get this?

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  • Visual Studio DataSet Designer Refresh Tables

    - by LnDCobra
    In visual studio datasource designer(The screen where you have all the UML Diagrams including relations) is there any way to refresh a table and its relations/foreign key constraints without refreshing the whole table? The way I am doing it at the moment is removing the table and adding it again. This adds all the relations and refreshes all fields. Also if I change a fields data type, is there a way to automatically refresh all the fields in the datasource? Again without deleting the table and adding it again. Reason for this is because some of my TableAdapters have quite a number of complex queries attached to them and when I remove the table the adapter gets removed as well including all its queries. I am using Visual Studio 2008 and connecting to a MySQL database.

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  • How to scroll to the bottom of a UITableView on the iPhone before the view appears

    - by acqu13sce
    I have a UITableView that is populated with cells of a variable height. I would like the table to scroll to the bottom when the view is pushed into view. I currently have the following function NSIndexPath *indexPath = [NSIndexPath indexPathForRow:[log count]-1 inSection:0]; [self.table scrollToRowAtIndexPath:indexPath atScrollPosition:UITableViewScrollPositionBottom animated:NO]; log is a mutable array containing the objects that make up the content of each cell. The above code works fine in viewDidAppear however this has the unfortunate side effect of displaying the top of the table when the view first appears and then jumping to the bottom. I would prefer it if the table view could be scrolled to the bottom before it appears. I tried the scroll in viewWillAppear and viewDidLoad but in both cases the data has not been loaded into the table yet and both throw an exception. Any guidance would be much appreciated, even if it's just a case of telling me what I have is all that is possible.

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  • WCF Data Service Exception

    - by Ravi
    Hi, I am working on C#.Net with ADO.NET Dataservice WCF Data Services. I try to update one record to relational table, when I reach context.SetLink() I am getting exception("The context is not currently tracking the entity"). I don't know how to solve this problem. My code is specified below. LogNote dbLogNote =logNote; LogSubSession dbLogSubSession = (from p in context.LogSubSession where p.UID == logNote.SubSessionId select p).First<LogSubSession>() as LogSubSession; context.AddToLogNote(dbLogNote); dbLogNote.LogSubSession = dbLogSubSession; context.SetLink(dbLogNote, "LogSubSession", dbLogSubSession); context.SaveChanges(); Here LogSubSession is a primary table and LogNote is a foreign table. I am updating data into foreign table based on primary key table. Thanks

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  • RDLC: How to print multiple tables in one report

    - by Eduardo Molteni
    I'm generating the RDLC XML schema and showing the report in the ReportViewer control. No problems there. Now, I want a report with 2 tables, with 2 differents dataset. Something like this gets generated: <Body> <ReportItems> <Table Name="Table1"> .... </Table> <Table Name="Table2"> .... </Table> </ReportItems> </Body> But, when printed, both tables start from the top, printing one table over the other (not nice) Is there a way to tell that Table2 should start after Table1? Update: I've tried with List with a fake DataSource, but it does not work.

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  • JPA - insert and retrieve clob and blob types

    - by pachunoori.vinay.kumar(at)oracle.com
    This article describes about the JPA feature for handling clob and blob data types.You will learn the following in this article. @Lob annotation Client code to insert and retrieve the clob/blob types End to End ADFaces application to retrieve the image from database table and display it in web page. Use Case Description Persisting and reading the image from database using JPA clob/blob type. @Lob annotation By default, TopLink JPA assumes that all persistent data can be represented as typical database data types. Use the @Lob annotation with a basic mapping to specify that a persistent property or field should be persisted as a large object to a database-supported large object type. A Lob may be either a binary or character type. TopLink JPA infers the Lob type from the type of the persistent field or property. For string and character-based types, the default is Clob. In all other cases, the default is Blob. Example Below code shows how to use this annotation to specify that persistent field picture should be persisted as a Blob. public class Person implements Serializable {    @Id    @Column(nullable = false, length = 20)    private String name;    @Column(nullable = false)    @Lob    private byte[] picture;    @Column(nullable = false, length = 20) } Client code to insert and retrieve the clob/blob types Reading a image file and inserting to Database table Below client code will read the image from a file and persist to Person table in database.                       Person p=new Person();                      p.setName("Tom");                      p.setSex("male");                      p.setPicture(writtingImage("Image location"));// - c:\images\test.jpg                       sessionEJB.persistPerson(p); //Retrieving the image from Database table and writing to a file                       List<Person> plist=sessionEJB.getPersonFindAll();//                      Person person=(Person)plist.get(0);//get a person object                      retrieveImage(person.getPicture());   //get picture retrieved from Table //Private method to create byte[] from image file  private static byte[] writtingImage(String fileLocation) {      System.out.println("file lication is"+fileLocation);     IOManager manager=new IOManager();        try {           return manager.getBytesFromFile(fileLocation);                    } catch (IOException e) {        }        return null;    } //Private method to read byte[] from database and write to a image file    private static void retrieveImage(byte[] b) {    IOManager manager=new IOManager();        try {            manager.putBytesInFile("c:\\webtest.jpg",b);        } catch (IOException e) {        }    } End to End ADFaces application to retrieve the image from database table and display it in web page. Please find the application in this link. Following are the j2ee components used in the sample application. ADFFaces(jspx page) HttpServlet Class - Will make a call to EJB and retrieve the person object from person table.Read the byte[] and write to response using Outputstream. SessionEJBBean - This is a session facade to make a local call to JPA entities JPA Entity(Person.java) - Person java class with setter and getter method annotated with @Lob representing the clob/blob types for picture field.

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  • ETL Operation - Return Primary Key

    - by user302254
    I am using Talend to populate a data warehouse. My job is writing customer data to a dimension table and transaction data to the fact table. The surrogate key (p_key) on the fact table is auto-incrementing. When I insert a new customer, I need my fact table to reflect the id of the related customer. As I mentioned my p_key is auto auto_incrementing so I can't just insert an arbitrary value for the p_key. Any thought on how I can insert a row into my dimension table and still retrieve the primary key to reference in my fact record? Thanks.

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  • Asp.net RenderControl method not rendering autopostback for dropdownlist

    - by Tanya
    Hi all, i am bit confused as to why asp.net does not render a dropdownlist with the autopostback property set to true when using the RenderControl method. eg Dim sw As New IO.StringWriter Dim tw As New HtmlTextWriter(sw) Dim table As New Table table.Rows.Add(New TableRow) Dim tr As TableRow = table.Rows(0) tr.Cells.Add(New TableCell) Dim tc As TableCell = tr.Cells(0) Dim ddlMyValues As New DropDownList ddlMyValues.ID = "ddl1" ddlMyValues.Items.Add("Test1") ddlMyValues.Items.Add("Test2") ddlMyValues.Items.Add("Test3") ddlMyValues.AutoPostBack = True tc.Controls.Add(ddlMyValues) table.RenderControl(tw) Debug.WriteLine(sw.ToString) my output renders the dropdown list without the onchange="javascript:setTimeout('__doPostBack(\ddl1\',\'\')', 0)" that is generated by asp.net when using the dropdownlist normally. Is there a work around to this?

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  • How to optimize simple linked server select query?

    - by tomaszs
    Hello, I have a table called Table with columns: ID (int, primary key, clustered, unique index) TEXT (varchar 15) on a MSSQL linked server called LS. Linked server is on the same server computer. And: When I call: SELECT ID, TEXT FROM OPENQUERY(LS, 'SELECT ID, TEXT FROM Table') It takes 400 ms. When I call: SELECT ID, TEXT FROM LS.dbo.Table It takes 200 ms And when I call the query directly while being at LS server: SELECT ID, TEXT FROM dbo.Table It takes 100 ms. In many places i've read that OPENQUERY is faster, but in this simple case it does not seem to work. What can I do to make this query faster when I call it from another server, not LS directly?

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  • Remove Duplicates from LEFT OUTER JOIN

    - by Kaushik Gopal
    Hey folk my question is quite similar to http://stackoverflow.com/questions/757957/restricting-a-left-join I have a variation in that request though and the comment didn't allow too many characters hence posting as a new question. I hope this doesn't go against the posting rules/etiquette. Assuming i have a table SHOP and another table LOCATION. Location is a sort of child table of table SHOP, that has two columns of interest, one is a Division Key (calling it just KEY) and a "SHOP" number. This matches to the Number "NO" in table SHOP. I tried this left outer join: SELECT S.NO, L.KEY FROM SHOP S LEFT OUTER JOIN LOCATN L ON S.NO = L.SHOP But i'm getting a lot of duplicates since there are many locations that belong to a single shop. I want to eliminate them and just get a list of "shop, key" entries without duplicates. any ideas how? (edit: ORACLE 10g Database)

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  • php email html link, but just showing up as html code

    - by Idealflip
    Hi everyone, I'm trying to e-mail a html table, that has links within it. But when I receive the e-mail, it just shows me the html code itself. I'm using PHP pear to send the email. I try constructing a string like so $body = "<table>"; $body = $body . "<tr><td><a href='http://google.ca'>Google</a></td></tr>"; $body = $body . "</table>"; then e-mailing it, but when I receive the e-mail, it comes like this <table><tr><td><a href='http://google.ca'>Google</a></td></tr></table> Any suggestions? Thanks!

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  • Talend Enterprise Data Integration overperforms on Oracle SPARC T4

    - by Amir Javanshir
    The SPARC T microprocessor, released in 2005 by Sun Microsystems, and now continued at Oracle, has a good track record in parallel execution and multi-threaded performance. However it was less suited for pure single-threaded workloads. The new SPARC T4 processor is now filling that gap by offering a 5x better single-thread performance over previous generations. Following our long-term relationship with Talend, a fast growing ISV positioned by Gartner in the “Visionaries” quadrant of the “Magic Quadrant for Data Integration Tools”, we decided to test some of their integration components with the T4 chip, more precisely on a T4-1 system, in order to verify first hand if this new processor stands up to its promises. Several tests were performed, mainly focused on: Single-thread performance of the new SPARC T4 processor compared to an older SPARC T2+ processor Overall throughput of the SPARC T4-1 server using multiple threads The tests consisted in reading large amounts of data --ten's of gigabytes--, processing and writing them back to a file or an Oracle 11gR2 database table. They are CPU, memory and IO bound tests. Given the main focus of this project --CPU performance--, bottlenecks were removed as much as possible on the memory and IO sub-systems. When possible, the data to process was put into the ZFS filesystem cache, for instance. Also, two external storage devices were directly attached to the servers under test, each one divided in two ZFS pools for read and write operations. Multi-thread: Testing throughput on the Oracle T4-1 The tests were performed with different number of simultaneous threads (1, 2, 4, 8, 12, 16, 32, 48 and 64) and using different storage devices: Flash, Fibre Channel storage, two stripped internal disks and one single internal disk. All storage devices used ZFS as filesystem and volume management. Each thread read a dedicated 1GB-large file containing 12.5M lines with the following structure: customerID;FirstName;LastName;StreetAddress;City;State;Zip;Cust_Status;Since_DT;Status_DT 1;Ronald;Reagan;South Highway;Santa Fe;Montana;98756;A;04-06-2006;09-08-2008 2;Theodore;Roosevelt;Timberlane Drive;Columbus;Louisiana;75677;A;10-05-2009;27-05-2008 3;Andrew;Madison;S Rustle St;Santa Fe;Arkansas;75677;A;29-04-2005;09-02-2008 4;Dwight;Adams;South Roosevelt Drive;Baton Rouge;Vermont;75677;A;15-02-2004;26-01-2007 […] The following graphs present the results of our tests: Unsurprisingly up to 16 threads, all files fit in the ZFS cache a.k.a L2ARC : once the cache is hot there is no performance difference depending on the underlying storage. From 16 threads upwards however, it is clear that IO becomes a bottleneck, having a good IO subsystem is thus key. Single-disk performance collapses whereas the Sun F5100 and ST6180 arrays allow the T4-1 to scale quite seamlessly. From 32 to 64 threads, the performance is almost constant with just a slow decline. For the database load tests, only the best IO configuration --using external storage devices-- were used, hosting the Oracle table spaces and redo log files. Using the Sun Storage F5100 array allows the T4-1 server to scale up to 48 parallel JVM processes before saturating the CPU. The final result is a staggering 646K lines per second insertion in an Oracle table using 48 parallel threads. Single-thread: Testing the single thread performance Seven different tests were performed on both servers. Given the fact that only one thread, thus one file was read, no IO bottleneck was involved, all data being served from the ZFS cache. Read File ? Filter ? Write File: Read file, filter data, write the filtered data in a new file. The filter is set on the “Status” column: only lines with status set to “A” are selected. This limits each output file to about 500 MB. Read File ? Load Database Table: Read file, insert into a single Oracle table. Average: Read file, compute the average of a numeric column, write the result in a new file. Division & Square Root: Read file, perform a division and square root on a numeric column, write the result data in a new file. Oracle DB Dump: Dump the content of an Oracle table (12.5M rows) into a CSV file. Transform: Read file, transform, write the result data in a new file. The transformations applied are: set the address column to upper case and add an extra column at the end, which is the concatenation of two columns. Sort: Read file, sort a numeric and alpha numeric column, write the result data in a new file. The following table and graph present the final results of the tests: Throughput unit is thousand lines per second processed (K lines/second). Improvement is the % of improvement between the T5140 and T4-1. Test T4-1 (Time s.) T5140 (Time s.) Improvement T4-1 (Throughput) T5140 (Throughput) Read/Filter/Write 125 806 645% 100 16 Read/Load Database 195 1111 570% 64 11 Average 96 557 580% 130 22 Division & Square Root 161 1054 655% 78 12 Oracle DB Dump 164 945 576% 76 13 Transform 159 1124 707% 79 11 Sort 251 1336 532% 50 9 The improvement of single-thread performance is quite dramatic: depending on the tests, the T4 is between 5.4 to 7 times faster than the T2+. It seems clear that the SPARC T4 processor has gone a long way filling the gap in single-thread performance, without sacrifying the multi-threaded capability as it still shows a very impressive scaling on heavy-duty multi-threaded jobs. Finally, as always at Oracle ISV Engineering, we are happy to help our ISV partners test their own applications on our platforms, so don't hesitate to contact us and let's see what the SPARC T4-based systems can do for your application! "As describe in this benchmark, Talend Enterprise Data Integration has overperformed on T4. I was generally happy to see that the T4 gave scaling opportunities for many scenarios like complex aggregations. Row by row insertion in Oracle DB is faster with more than 650,000 rows per seconds without using any bulk Oracle capabilities !" Cedric Carbone, Talend CTO.

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  • RDLC: Is there a way to print multiple tables without SubReports?

    - by Eduardo Molteni
    I'm generating the RDLC XML schema and showing the report in the ReportViewer control. No problems there. Now, I want a report with 2 tables, with 2 differents dataset. Something like this gets generated: <Body> <ReportItems> <Table Name="Table1"> .... </Table> <Table Name="Table2"> .... </Table> </ReportItems> </Body> But, when printed, both tables start from the top, printing on table over the other (not nice) Is there a way to tell that Table2 should start after Table1? Update: I've tried with List with a fake DataSource, but it does not work.

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  • Tuning Red Gate: #4 of Some

    - by Grant Fritchey
    First time connecting to these servers directly (keys to the kingdom, bwa-ha-ha-ha. oh, excuse me), so I'm going to take a look at the server properties, just to see if there are any issues there. Max memory is set, cool, first possible silly mistake clear. In fact, these look to be nicely set up. Oh, I'd like to see the ANSI Standards set by default, but it's not a big deal. The default location for database data is the F:\ drive, where I saw all the activity last time. Cool, the people maintaining the servers in our company listen, parallelism threshold is set to 35 and optimize for ad hoc is enabled. No shocks, no surprises. The basic setup is appropriate. On to the problem database. Nothing wrong in the properties. The database is in SIMPLE recovery, but I think it's a reporting system, so no worries there. Again, I'd prefer to see the ANSI settings for connections, but that's the worst thing I can see. Time to look at the queries, tables, indexes and statistics because all the information I've collected over the last several days suggests that we're not looking at a systemic problem (except possibly not enough memory), but at the traditional tuning issues. I just want to note that, I started looking at the system, not the queries. So should you when tuning your environment. I know, from the data collected through SQL Monitor, what my top poor performing queries are, and the most frequently called, etc. I'm starting with the most frequently called. I'm going to get the execution plan for this thing out of the cache (although, with the cache dumping constantly, I might not get it). And it's not there. Called 1.3 million times over the last 3 days, but it's not in cache. Wow. OK. I'll see what's in cache for this database: SELECT  deqs.creation_time,         deqs.execution_count,         deqs.max_logical_reads,         deqs.max_elapsed_time,         deqs.total_logical_reads,         deqs.total_elapsed_time,         deqp.query_plan,         SUBSTRING(dest.text, (deqs.statement_start_offset / 2) + 1,                   (deqs.statement_end_offset - deqs.statement_start_offset) / 2                   + 1) AS QueryStatement FROM    sys.dm_exec_query_stats AS deqs         CROSS APPLY sys.dm_exec_sql_text(deqs.sql_handle) AS dest         CROSS APPLY sys.dm_exec_query_plan(deqs.plan_handle) AS deqp WHERE   dest.dbid = DB_ID('Warehouse') AND deqs.statement_end_offset > 0 AND deqs.statement_start_offset > 0 ORDER BY deqs.max_logical_reads DESC ; And looking at the most expensive operation, we have our first bad boy: Multiple table scans against very large sets of data and a sort operation. a sort operation? It's an insert. Oh, I see, the table is a heap, so it's doing an insert, then sorting the data and then inserting into the primary key. First question, why isn't this a clustered index? Let's look at some more of the queries. The next one is deceiving. Here's the query plan: You're thinking to yourself, what's the big deal? Well, what if I told you that this thing had 8036318 reads? I know, you're looking at skinny little pipes. Know why? Table variable. Estimated number of rows = 1. Actual number of rows. well, I'm betting several more than one considering it's read 8 MILLION pages off the disk in a single execution. We have a serious and real tuning candidate. Oh, and I missed this, it's loading the table variable from a user defined function. Let me check, let me check. YES! A multi-statement table valued user defined function. And another tuning opportunity. This one's a beauty, seriously. Did I also mention that they're doing a hash against all the columns in the physical table. I'm sure that won't lead to scans of a 500,000 row table, no, not at all. OK. I lied. Of course it is. At least it's on the top part of the Loop which means the scan is only executed once. I just did a cursory check on the next several poor performers. all calling the UDF. I think I found a big tuning opportunity. At this point, I'm typing up internal emails for the company. Someone just had their baby called ugly. In addition to a series of suggested changes that we need to implement, I'm also apologizing for being such an unkind monster as to question whether that third eye & those flippers belong on such an otherwise lovely child.

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  • SQL Server 2000 tables

    - by klork
    We currently have an SQL Server 2000 database with one table containing data for multiple users. The data is keyed by memberid which is an integer field. The table has a clustered index on memberid. The table is now about 200 million rows. Indexing and maintenance are becoming issues. We are debating splitting the table into one table per user model. This would imply that we would end up with a very large number of tables potentially upto the 2,147,483,647, considering just positive values. My questions: Does anyone have any experience with a SQL Server (2000/2005) installation with millions of tables? What are the implications of this architecture with regards to maintenance and access using Query Analyzer, Enterprise Manager etc. What are the implications to having such a large number of indexes in a database instance. All comments are appreciated. Thanks

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  • SQL Server Query solution cum Suggestion Required

    - by Nirmal
    Hello All... I have a following scenario in my SQL Server 2005 database. zipcodes table has following fields and value (just a sample): zipcode latitude longitude ------- -------- --------- 65201 123.456 456.789 65203 126.546 444.444 and place table has following fields and value : id name zip latitude longitude -- ---- --- -------- --------- 1 abc 65201 NULL NULL 2 def 65202 NULL NULL 3 ghi 65203 NULL NULL 4 jkl 65204 NULL NULL Now, my requirement is like I want to compare my zip codes of place table and update the available latitude and longitude fields from zipcode table. And there are some of the zipcodes which has no entry in zipcode table, so that should remain null. And the major issue is like I have more then 50,00,000 records in my db. So, query should support this feature. I have tried some of the solutions but unfortunately not getting proper output. Any help would be appreciated...

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  • Visual Studio DataSet Designer keep queries

    - by LnDCobra
    In visual studio datasource designer(The screen where you have all the UML Diagrams including relations) is there any way to refresh a table and its relations/foreign key constraints without refreshing the whole table? The way I am doing it at the moment is removing the table and adding it again. This adds all the relations and refreshes all fields. Also if I change a fields data type, is there a way to automatically refresh all the fields in the datasource? Again without deleting the table and adding it again. Reason for this is because some of my TableAdapters have quite a number of complex queries attached to them and when I remove the table the adapter gets removed as well including all its queries. I am using Visual Studio 2008 and connecting to a MySQL database.

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  • CSS: How to refer to a tag

    - by Harry Pham
    I know how to refer to a tag with an id or class in css <table id="cooltable"> <tr> <td></td> <td></td> </tr> </table> so in css, u refer this <table> by table#cooltable{ ... } However, if I want to refer the <td> in <table> in css, how do I that?

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  • Error: An aggregate may not appear in the WHERE clause unless it is in a subquery contained in a HAV

    - by brz dot net
    I have to find the indentid from the status table based on below two conditions: 1. If there are more than one record having same indentid in status table and the same indentID has count1 in feasibilitystatus table then I don't want to display the record. 2. If there is only one record of indentid in status table and the same indentID has count0 in feasibilitystatus table then I don't want to display the record. Query: select distinct s.indentid from status s where s.status='true' and s.indentid not in( select case when count(s.indentid)>1 then (select indentid from feasibilitystatus group by indentid having count(indentid)>1) else (select indentid from feasibilitystatus group by indentid having count(indentid)>0) end as indentid from status) Error: An aggregate may not appear in the WHERE clause unless it is in a subquery contained in a HAVING clause or a select list, and the column being aggregated is an outer reference.

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  • MySQL for Excel 1.1.0 GA has been released

    - by Javier Treviño
    The MySQL Windows Experience Team is proud to announce the release of MySQL for Excel version 1.1.0 GA, one of our newest products contained in the MySQL Installer suite. You can download it from our official Downloads page at http://dev.mysql.com/downloads/installer/. The 1.1.0 release of MySQL for Excel introduces the following features: Edit MySQL Data. Edit MySQL Data This may be the coolest feature so far; users will be able to edit the data in a MySQL table using MS Excel in a very friendly and intuitive way.  Edit Data supports inserting new rows, deleting existing rows and updating existing data as easy as playing with data in an Excel’s spreadsheet and pushing changes back to the server.  Also this version contains the following bug fixes: Enabled the following checkboxes in the Append Data's Advanced Options dialog and added code in the Append Data dialog to use the checkboxes as follows: Automatically store the column mapping for the given table     If checked the current mapping will be stored automatically after clicking the Append button if the append operation is successful and there is no mapping for the current connection.schema.table already; the new mapping is stored with a proposed name of Mapping. Reload stored column mapping for the selected table automatically     If checked the first Stored Mapping found where all column names in the source grid match all column names in the target grid is automatically selected and applied when the Append Data dialog is loaded. Fixed code in Append Data that applies a stored column mapping to skip target columns where the associated mapping is empty (saved as a -1). Enclosed the Add-In's startup code in a try-catch block in order to log any possible error thrown during startup; and added information messages to the log at the beginning of the Add-In's startup code and at the end of the shutdown code.  Also changed the wrapper method that calls the MySQLUtility to write messages to the log to make logging easier, thus changed the log call throughout all the code that contains a try-catch block. Added code to the main wix configuration file to check if a newer version is already installed and if so abort the installation Fixed code to refresh the Import Procedure Form's preview grid's data source to repaint its contents every time the Call button is pressed. Added code to re-pull connections after connections are migrated from Excel to Workbench. Fixed code so when the Append Data's Automatic Mapping is performed any subsequent change on a mapping resets the mapping to a Manual Mapping. Added code to the InfoDialog class to set the button text to "Show Details" or "Hide Details" depending on the status of the Details text container. Fixed a GUID in the main wix configuration file so now previous versions are uninstalled during a new installation. Added an option to the Export Data's Advanced Options dialog to remove columns with no data, by default the Export Dialog will only flag those columns as Excluded. Added code to display a warning and paint a column red if the column name in the Export Data dialog is not set, display a warning if the table name is not set, and stack warnings but not display them if a column is Excluded, warnings are displayed normally for columns if they are not Excluded anymore.  Added code to prevent the Append and Export of Data if more than 1 selection is made (selecting more than 1 area holding the Ctrl key while selecting Excel cells). Fixed problem that prevented MySQL for Excel from loading when Display settings in Windows 7 is set to Adjust to Best Performance (Oracle bug 14521405 - UNHANDLED EXCEPTION IS THROWN WHEN LOADING MYSQL FOR EXCEL). Fixed code that renames the auto-generated Primary Key column when the Table name changes since it was not detecting if a column with the same name already existed in the table. The column duplication was not actually happening, it looked that way because the automatically generated PK column was not detecting a column had that same name. Fixed code in Export Data dialog to always set an empty string instead of null to the MySQLDataColumn properties that stores MySQL data types (MySQLDataType, RowsFrom1stDataType and RowsFrom2ndDataType). Added code to display a warning and color red a column which Data Type has not been set by the user or has been manually cleared. Added code to output to the application log exception messages consistently in all places where exceptions are catched. A series of blog posts explaining the new Edit MySQL Data feature and the other existing features are coming in this blog. You can access the MySQL for Excel documentation at http://dev.mysql.com/doc/refman/5.5/en/mysql-for-excel.html You can also post questions on our MySQL for Excel forum found at http://forums.mysql.com/. You can also post questions on our MySQL for Excel forum found at http://forums.mysql.com/. Enjoy and thanks for the support!

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  • Is it possible to use ContainsTable to get results for more than one column?

    - by LockeCJ
    Consider the following table: People FirstName nvarchar(50) LastName nvarchar(50) Let's assume for the moment that this table has a full-text index on it for both columns. Let's suppose that I wanted to find all of the people named "John Smith" in this table. The following query seems like a perfectly rational way to accomplish this: SELECT * from People p INNER JOIN CONTAINSTABLE(People,*,'"John*" AND "Smith*"') Unfortunately, this will return no results, assuming that there is no record in the People table that contains both "John" and "Smith" in either the FirstName or LastName columns. It will not match a record with "John" in the FirstName column, and "Smith" in the LastName column, or vice-versa. My question is this: How does one accomplish what I'm trying to do above? Please consider that the example above is simplified. The real table I'm working with has ten columns and the input I'm receiving is a single string which is split up based on standard word breakers (space, dash, etc.)

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