Search Results

Search found 7311 results on 293 pages for 'rows'.

Page 1/293 | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >

• in MSSQL Server 2005 Dev Edition, I faced index corruption

  - by tranhuyhung

  Hi all, When running stored procedures in MSSQL Server, I found it failed and the DBMS (MSSQL Server 2005 Dev Edition) notified that some indexes are corrupted. Please advice me, here below is DBCC logs: DBCC results for 'itopup_dev'. Service Broker Msg 9675, State 1: Message Types analyzed: 14. Service Broker Msg 9676, State 1: Service Contracts analyzed: 6. Service Broker Msg 9667, State 1: Services analyzed: 3. Service Broker Msg 9668, State 1: Service Queues analyzed: 3. Service Broker Msg 9669, State 1: Conversation Endpoints analyzed: 0. Service Broker Msg 9674, State 1: Conversation Groups analyzed: 0. Service Broker Msg 9670, State 1: Remote Service Bindings analyzed: 0. DBCC results for 'sys.sysrowsetcolumns'. There are 1148 rows in 14 pages for object "sys.sysrowsetcolumns". DBCC results for 'sys.sysrowsets'. There are 187 rows in 2 pages for object "sys.sysrowsets". DBCC results for 'sysallocunits'. There are 209 rows in 3 pages for object "sysallocunits". DBCC results for 'sys.sysfiles1'. There are 2 rows in 1 pages for object "sys.sysfiles1". DBCC results for 'sys.syshobtcolumns'. There are 1148 rows in 14 pages for object "sys.syshobtcolumns". DBCC results for 'sys.syshobts'. There are 187 rows in 2 pages for object "sys.syshobts". DBCC results for 'sys.sysftinds'. There are 0 rows in 0 pages for object "sys.sysftinds". DBCC results for 'sys.sysserefs'. There are 209 rows in 1 pages for object "sys.sysserefs". DBCC results for 'sys.sysowners'. There are 15 rows in 1 pages for object "sys.sysowners". DBCC results for 'sys.sysprivs'. There are 135 rows in 1 pages for object "sys.sysprivs". DBCC results for 'sys.sysschobjs'. There are 817 rows in 21 pages for object "sys.sysschobjs". DBCC results for 'sys.syscolpars'. There are 2536 rows in 71 pages for object "sys.syscolpars". DBCC results for 'sys.sysnsobjs'. There are 1 rows in 1 pages for object "sys.sysnsobjs". DBCC results for 'sys.syscerts'. There are 0 rows in 0 pages for object "sys.syscerts". DBCC results for 'sys.sysxprops'. There are 12 rows in 4 pages for object "sys.sysxprops". DBCC results for 'sys.sysscalartypes'. There are 27 rows in 1 pages for object "sys.sysscalartypes". DBCC results for 'sys.systypedsubobjs'. There are 0 rows in 0 pages for object "sys.systypedsubobjs". DBCC results for 'sys.sysidxstats'. There are 466 rows in 15 pages for object "sys.sysidxstats". DBCC results for 'sys.sysiscols'. There are 616 rows in 6 pages for object "sys.sysiscols". DBCC results for 'sys.sysbinobjs'. There are 23 rows in 1 pages for object "sys.sysbinobjs". DBCC results for 'sys.sysobjvalues'. There are 1001 rows in 376 pages for object "sys.sysobjvalues". DBCC results for 'sys.sysclsobjs'. There are 14 rows in 1 pages for object "sys.sysclsobjs". DBCC results for 'sys.sysrowsetrefs'. There are 0 rows in 0 pages for object "sys.sysrowsetrefs". DBCC results for 'sys.sysremsvcbinds'. There are 0 rows in 0 pages for object "sys.sysremsvcbinds". DBCC results for 'sys.sysxmitqueue'. There are 0 rows in 0 pages for object "sys.sysxmitqueue". DBCC results for 'sys.sysrts'. There are 1 rows in 1 pages for object "sys.sysrts". DBCC results for 'sys.sysconvgroup'. There are 0 rows in 0 pages for object "sys.sysconvgroup". DBCC results for 'sys.sysdesend'. There are 0 rows in 0 pages for object "sys.sysdesend". DBCC results for 'sys.sysdercv'. There are 0 rows in 0 pages for object "sys.sysdercv". DBCC results for 'sys.syssingleobjrefs'. There are 317 rows in 2 pages for object "sys.syssingleobjrefs". DBCC results for 'sys.sysmultiobjrefs'. There are 3607 rows in 37 pages for object "sys.sysmultiobjrefs". DBCC results for 'sys.sysdbfiles'. There are 2 rows in 1 pages for object "sys.sysdbfiles". DBCC results for 'sys.sysguidrefs'. There are 0 rows in 0 pages for object "sys.sysguidrefs". DBCC results for 'sys.sysqnames'. There are 91 rows in 1 pages for object "sys.sysqnames". DBCC results for 'sys.sysxmlcomponent'. There are 93 rows in 1 pages for object "sys.sysxmlcomponent". DBCC results for 'sys.sysxmlfacet'. There are 97 rows in 1 pages for object "sys.sysxmlfacet". DBCC results for 'sys.sysxmlplacement'. There are 17 rows in 1 pages for object "sys.sysxmlplacement". DBCC results for 'sys.sysobjkeycrypts'. There are 0 rows in 0 pages for object "sys.sysobjkeycrypts". DBCC results for 'sys.sysasymkeys'. There are 0 rows in 0 pages for object "sys.sysasymkeys". DBCC results for 'sys.syssqlguides'. There are 0 rows in 0 pages for object "sys.syssqlguides". DBCC results for 'sys.sysbinsubobjs'. There are 0 rows in 0 pages for object "sys.sysbinsubobjs". DBCC results for 'TBL_BONUS_TEMPLATES'. There are 0 rows in 0 pages for object "TBL_BONUS_TEMPLATES". DBCC results for 'TBL_ROLE_PAGE_GROUP'. There are 18 rows in 1 pages for object "TBL_ROLE_PAGE_GROUP". DBCC results for 'TBL_BONUS_LEVELS'. There are 0 rows in 0 pages for object "TBL_BONUS_LEVELS". DBCC results for 'TBL_SUPERADMIN'. There are 1 rows in 1 pages for object "TBL_SUPERADMIN". DBCC results for 'TBL_ADMIN_ROLES'. There are 11 rows in 1 pages for object "TBL_ADMIN_ROLES". DBCC results for 'TBL_ADMIN_USER_ROLE'. There are 42 rows in 1 pages for object "TBL_ADMIN_USER_ROLE". DBCC results for 'TBL_BONUS_CALCULATION_HISTORIES'. There are 0 rows in 0 pages for object "TBL_BONUS_CALCULATION_HISTORIES". DBCC results for 'TBL_MERCHANT_MOBILES'. There are 0 rows in 0 pages for object "TBL_MERCHANT_MOBILES". DBCC results for 'TBL_ARCHIVE_EXPORTED_SOFTPINS'. There are 16030918 rows in 35344 pages for object "TBL_ARCHIVE_EXPORTED_SOFTPINS". DBCC results for 'TBL_ARCHIVE_LOGS'. There are 280 rows in 2 pages for object "TBL_ARCHIVE_LOGS". DBCC results for 'TBL_ADMIN_USERS'. There are 29 rows in 1 pages for object "TBL_ADMIN_USERS". DBCC results for 'TBL_SYSTEM_ALERT_GROUPS'. There are 4 rows in 1 pages for object "TBL_SYSTEM_ALERT_GROUPS". DBCC results for 'TBL_EXPORTED_TRANSACTIONS'. There are 7848 rows in 89 pages for object "TBL_EXPORTED_TRANSACTIONS". DBCC results for 'TBL_SYSTEM_ALERTS'. There are 968 rows in 9 pages for object "TBL_SYSTEM_ALERTS". DBCC results for 'TBL_SYSTEM_ALERT_GROUP_MEMBERS'. There are 1 rows in 1 pages for object "TBL_SYSTEM_ALERT_GROUP_MEMBERS". DBCC results for 'TBL_ESTIMATED_TIME'. There are 11 rows in 1 pages for object "TBL_ESTIMATED_TIME". DBCC results for 'TBL_SYSTEM_ALERT_MEMBERS'. There are 0 rows in 1 pages for object "TBL_SYSTEM_ALERT_MEMBERS". DBCC results for 'TBL_COMMISSIONS'. There are 10031 rows in 106 pages for object "TBL_COMMISSIONS". DBCC results for 'TBL_CATEGORIES'. There are 3 rows in 1 pages for object "TBL_CATEGORIES". DBCC results for 'TBL_SERVICE_PROVIDERS'. There are 11 rows in 1 pages for object "TBL_SERVICE_PROVIDERS". DBCC results for 'TBL_CATEGORY_SERVICE_PROVIDER'. There are 11 rows in 1 pages for object "TBL_CATEGORY_SERVICE_PROVIDER". DBCC results for 'TBL_PRODUCTS'. There are 73 rows in 6 pages for object "TBL_PRODUCTS". DBCC results for 'TBL_MERCHANT_KEYS'. There are 291 rows in 30 pages for object "TBL_MERCHANT_KEYS". DBCC results for 'TBL_POS_UNLOCK_KEYS'. There are 0 rows in 0 pages for object "TBL_POS_UNLOCK_KEYS". DBCC results for 'TBL_POS'. There are 0 rows in 0 pages for object "TBL_POS". DBCC results for 'TBL_IMPORT_BATCHES'. There are 3285 rows in 84 pages for object "TBL_IMPORT_BATCHES". DBCC results for 'TBL_IMPORT_KEYS'. There are 2 rows in 1 pages for object "TBL_IMPORT_KEYS". DBCC results for 'TBL_PRODUCT_COMMISSION_TEMPLATES'. There are 634 rows in 4 pages for object "TBL_PRODUCT_COMMISSION_TEMPLATES". DBCC results for 'TBL_POS_SETTLE_TRANSACTIONS'. There are 0 rows in 0 pages for object "TBL_POS_SETTLE_TRANSACTIONS". DBCC results for 'TBL_CHANGE_KEY_SOFTPINS'. There are 0 rows in 1 pages for object "TBL_CHANGE_KEY_SOFTPINS". DBCC results for 'TBL_POS_RETURN_TRANSACTIONS'. There are 0 rows in 0 pages for object "TBL_POS_RETURN_TRANSACTIONS". DBCC results for 'TBL_POS_SOFTPINS'. There are 0 rows in 0 pages for object "TBL_POS_SOFTPINS". DBCC results for 'TBL_POS_MENUS'. There are 0 rows in 0 pages for object "TBL_POS_MENUS". DBCC results for 'TBL_COMMISSION_TEMPLATES'. There are 23 rows in 1 pages for object "TBL_COMMISSION_TEMPLATES". DBCC results for 'TBL_DOWNLOAD_TRANSACTIONS'. There are 170820 rows in 1789 pages for object "TBL_DOWNLOAD_TRANSACTIONS". DBCC results for 'TBL_IMPORT_TEMP_SOFTPINS'. There are 0 rows in 1 pages for object "TBL_IMPORT_TEMP_SOFTPINS". DBCC results for 'TBL_REGIONS'. There are 2 rows in 1 pages for object "TBL_REGIONS". DBCC results for 'TBL_SOFTPINS'. There are 9723677 rows in 126611 pages for object "TBL_SOFTPINS". DBCC results for 'sysdiagrams'. There are 0 rows in 0 pages for object "sysdiagrams". DBCC results for 'TBL_SYNCHRONIZE_TRANSACTIONS'. There are 9302 rows in 53 pages for object "TBL_SYNCHRONIZE_TRANSACTIONS". DBCC results for 'TBL_SALEMEN'. There are 32 rows in 1 pages for object "TBL_SALEMEN". DBCC results for 'TBL_RESERVATION_SOFTPINS'. There are 131431 rows in 1629 pages for object "TBL_RESERVATION_SOFTPINS". DBCC results for 'TBL_SYNCHRONIZE_TRANSACTION_ITEMS'. There are 5345 rows in 16 pages for object "TBL_SYNCHRONIZE_TRANSACTION_ITEMS". DBCC results for 'TBL_ACCOUNTS'. There are 1 rows in 1 pages for object "TBL_ACCOUNTS". DBCC results for 'TBL_SYNCHRONIZE_TRANSACTION_SOFTPIN'. There are 821988 rows in 2744 pages for object "TBL_SYNCHRONIZE_TRANSACTION_SOFTPIN". *DBCC results for 'TBL_EXPORTED_SOFTPINS'. Msg 8928, Level 16, State 1, Line 1 Object ID 1716917188, index ID 1, partition ID 72057594046119936, alloc unit ID 72057594050838528 (type In-row data): Page (1:677314) could not be processed. See other errors for details. Msg 8939, Level 16, State 7, Line 1 Table error: Object ID 1716917188, index ID 1, partition ID 72057594046119936, alloc unit ID 72057594050838528 (type In-row data), page (1:677314). Test (m_freeData = PAGEHEADSIZE && m_freeData <= (UINT)PAGESIZE - m_slotCnt * sizeof (Slot)) failed. Values are 15428 and 7240. There are 2267937 rows in 6133 pages for object "TBL_EXPORTED_SOFTPINS". CHECKDB found 0 allocation errors and 2 consistency errors in table 'TBL_EXPORTED_SOFTPINS' (object ID 1716917188).* DBCC results for 'TBL_DOWNLOAD_SOFTPINS'. There are 7029404 rows in 17999 pages for object "TBL_DOWNLOAD_SOFTPINS". DBCC results for 'TBL_MERCHANT_BALANCE_CREDIT_PAID'. There are 0 rows in 0 pages for object "TBL_MERCHANT_BALANCE_CREDIT_PAID". DBCC results for 'TBL_ARCHIVE_SOFTPINS'. There are 44015040 rows in 683692 pages for object "TBL_ARCHIVE_SOFTPINS". DBCC results for 'TBL_ACCOUNT_BALANCE_LOGS'. There are 0 rows in 0 pages for object "TBL_ACCOUNT_BALANCE_LOGS". DBCC results for 'TBL_BLOCK_BATCHES'. There are 23 rows in 1 pages for object "TBL_BLOCK_BATCHES". DBCC results for 'TBL_BLOCK_BATCH_SOFTPIN'. There are 396 rows in 1 pages for object "TBL_BLOCK_BATCH_SOFTPIN". DBCC results for 'TBL_MERCHANTS'. There are 290 rows in 22 pages for object "TBL_MERCHANTS". DBCC results for 'TBL_DOWNLOAD_TRANSACTION_ITEMS'. There are 189296 rows in 1241 pages for object "TBL_DOWNLOAD_TRANSACTION_ITEMS". DBCC results for 'TBL_BLOCK_BATCH_CONDITIONS'. There are 23 rows in 1 pages for object "TBL_BLOCK_BATCH_CONDITIONS". DBCC results for 'TBL_SP_ADVERTISEMENTS'. There are 6 rows in 1 pages for object "TBL_SP_ADVERTISEMENTS". DBCC results for 'TBL_SERVER_KEYS'. There are 1 rows in 1 pages for object "TBL_SERVER_KEYS". DBCC results for 'TBL_ARCHIVE_DOWNLOAD_SOFTPINS'. There are 27984122 rows in 60773 pages for object "TBL_ARCHIVE_DOWNLOAD_SOFTPINS". DBCC results for 'TBL_ACCOUNT_BALANCE_REQUESTS'. There are 0 rows in 0 pages for object "TBL_ACCOUNT_BALANCE_REQUESTS". DBCC results for 'TBL_MERCHANT_TERMINALS'. There are 633 rows in 4 pages for object "TBL_MERCHANT_TERMINALS". DBCC results for 'TBL_SP_PREFIXES'. There are 6 rows in 1 pages for object "TBL_SP_PREFIXES". DBCC results for 'TBL_DIRECT_TOPUP_TRANSACTIONS'. There are 43 rows in 1 pages for object "TBL_DIRECT_TOPUP_TRANSACTIONS". DBCC results for 'TBL_MERCHANT_BALANCE_REQUESTS'. There are 19367 rows in 171 pages for object "TBL_MERCHANT_BALANCE_REQUESTS". DBCC results for 'TBL_ACTION_LOGS'. There are 133714 rows in 1569 pages for object "TBL_ACTION_LOGS". DBCC results for 'sys.queue_messages_1977058079'. There are 0 rows in 0 pages for object "sys.queue_messages_1977058079". DBCC results for 'sys.queue_messages_2009058193'. There are 0 rows in 0 pages for object "sys.queue_messages_2009058193". DBCC results for 'TBL_CODES'. There are 98 rows in 1 pages for object "TBL_CODES". DBCC results for 'TBL_MERCHANT_BALANCE_LOGS'. There are 183498 rows in 3178 pages for object "TBL_MERCHANT_BALANCE_LOGS". DBCC results for 'TBL_MERCHANT_CHANNEL_TEMPLATE'. There are 397 rows in 2 pages for object "TBL_MERCHANT_CHANNEL_TEMPLATE". DBCC results for 'sys.queue_messages_2041058307'. There are 0 rows in 0 pages for object "sys.queue_messages_2041058307". DBCC results for 'TBL_VNPTEPAY'. There are 0 rows in 0 pages for object "TBL_VNPTEPAY". DBCC results for 'TBL_PAGE_GROUPS'. There are 10 rows in 1 pages for object "TBL_PAGE_GROUPS". DBCC results for 'TBL_PAGE_GROUP_PAGE'. There are 513 rows in 2 pages for object "TBL_PAGE_GROUP_PAGE". DBCC results for 'TBL_ACCOUNT_CHANNEL_TEMPLATE'. There are 0 rows in 0 pages for object "TBL_ACCOUNT_CHANNEL_TEMPLATE". DBCC results for 'TBL_PAGES'. There are 148 rows in 3 pages for object "TBL_PAGES". CHECKDB found 0 allocation errors and 2 consistency errors in database 'itopup_dev'. repair_allow_data_loss is the minimum repair level for the errors found by DBCC CHECKDB (itopup_dev). DBCC execution completed. If DBCC printed error messages, contact your system administrator.

  Read the article

• How to find rows between other rows w/ID then add class

  - by Ravex

  Hi guys. i'm stuck with my table. need create toggle rows function. but i no idea how to find sub rows in table. Some one can help me? I have table with many rows 500 All Rows have class="row-1,row-2.....row-600 etc" And all main rows also have class="parent" between each "parent" rows i have 6 rows So i need for toggle/collapse purposes find all (sub)rows betwen parent rows. and add class with id like in prevous parent row. For example: parent have class="row-1 parent" all sub must have - class="child-row-1" default table <table id="table"> <tr class="row-1 odd parent"> <th class="column-1">st. 3 - 5</th> <th class="column-2">Profile</th> <th class="column-3">Purpose</th> </tr> <tr class="row-2 even"> <td class="column-1">Metal Stamp</td> <td class="column-2">Width</td> <td class="column-3">Price</td> </tr> <tr class="row-3 odd"> <td class="column-1">Circle 3 - 5</td> <td class="column-2">28-110</td> <td class="column-3">21500</td> </tr> <tr class="row-4 even"> <td class="column-1">Circle 3 - 5</td> <td class="column-2">115-180</td> <td class="column-3">20700</td> </tr> <tr class="row-5 odd"> <td class="column-1">Cube 3 - 5</td> <td class="column-2">63-80</td> <td class="column-3">21500</td> </tr> <tr class="row-6 even"> <td class="column-1">Cube 3 - 5</td> <td class="column-2">100-220</td> <td class="column-3">20700</td> </tr> <tr class="row-7 odd"> <td class="column-1">Line 3 - 5</td> <td class="column-2">10-50 ? 40-200</td> <td class="column-3">27000</td> </tr> </table> in the end it should look like this: <table id="table"> <tr class="row-1 odd parent"> <th class="column-1">st. 3 - 5</th> <th class="column-2">Profile</th> <th class="column-3">Purpose</th> </tr> <tr class="row-2 even child-row-1"> <td class="column-1">Metal Stamp</td> <td class="column-2">Width</td> <td class="column-3">Price</td> </tr> <tr class="row-3 odd child-row-1"> <td class="column-1">Circle 3 - 5</td> <td class="column-2">28-110</td> <td class="column-3">21500</td> </tr> <tr class="row-4 even child-row-1"> <td class="column-1">Circle 3 - 5</td> <td class="column-2">115-180</td> <td class="column-3">20700</td> </tr> <tr class="row-5 odd child-row-1"> <td class="column-1">Cube 3 - 5</td> <td class="column-2">63-80</td> <td class="column-3">21500</td> </tr> <tr class="row-6 even child-row-1"> <td class="column-1">Cube 3 - 5</td> <td class="column-2">100-220</td> <td class="column-3">20700</td> </tr> <tr class="row-7 odd child-row-1"> <td class="column-1">Line 3 - 5</td> <td class="column-2">10-50 ? 40-200</td> <td class="column-3">27000</td> </tr> </table>

  Read the article

• Mulitple full joins in Postgres is slow

  - by blast83

  I have a program to use the IMDB database and am having very slow performance on my query. It appears that it doesn't use my where condition until after it materializes everything. I looked around for hints to use but nothing seems to work. Here is my query: SELECT * FROM name as n1 FULL JOIN aka_name ON n1.id = aka_name.person_id FULL JOIN cast_info as t2 ON n1.id = t2.person_id FULL JOIN person_info as t3 ON n1.id = t3.person_id FULL JOIN char_name as t4 ON t2.person_role_id = t4.id FULL JOIN role_type as t5 ON t2.role_id = t5.id FULL JOIN title as t6 ON t2.movie_id = t6.id FULL JOIN aka_title as t7 ON t6.id = t7.movie_id FULL JOIN complete_cast as t8 ON t6.id = t8.movie_id FULL JOIN kind_type as t9 ON t6.kind_id = t9.id FULL JOIN movie_companies as t10 ON t6.id = t10.movie_id FULL JOIN movie_info as t11 ON t6.id = t11.movie_id FULL JOIN movie_info_idx as t19 ON t6.id = t19.movie_id FULL JOIN movie_keyword as t12 ON t6.id = t12.movie_id FULL JOIN movie_link as t13 ON t6.id = t13.linked_movie_id FULL JOIN link_type as t14 ON t13.link_type_id = t14.id FULL JOIN keyword as t15 ON t12.keyword_id = t15.id FULL JOIN company_name as t16 ON t10.company_id = t16.id FULL JOIN company_type as t17 ON t10.company_type_id = t17.id FULL JOIN comp_cast_type as t18 ON t8.status_id = t18.id WHERE n1.id = 2003 Very table is related to each other on the join via foreign-key constraints and have indexes for all the mentioned columns. The query plan details: "Hash Left Join (cost=5838187.01..13756845.07 rows=15579622 width=835) (actual time=146879.213..146891.861 rows=20 loops=1)" " Hash Cond: (t8.status_id = t18.id)" " -> Hash Left Join (cost=5838185.92..13542624.18 rows=15579622 width=822) (actual time=146879.199..146891.833 rows=20 loops=1)" " Hash Cond: (t10.company_type_id = t17.id)" " -> Hash Left Join (cost=5838184.83..13328403.29 rows=15579622 width=797) (actual time=146879.165..146891.781 rows=20 loops=1)" " Hash Cond: (t10.company_id = t16.id)" " -> Hash Left Join (cost=5828372.95..10061752.03 rows=15579622 width=755) (actual time=146426.483..146429.756 rows=20 loops=1)" " Hash Cond: (t12.keyword_id = t15.id)" " -> Hash Left Join (cost=5825164.23..6914088.45 rows=15579622 width=731) (actual time=146372.411..146372.529 rows=20 loops=1)" " Hash Cond: (t13.link_type_id = t14.id)" " -> Merge Left Join (cost=5825162.82..6699867.24 rows=15579622 width=715) (actual time=146372.366..146372.472 rows=20 loops=1)" " Merge Cond: (t6.id = t13.linked_movie_id)" " -> Merge Left Join (cost=5684009.29..6378956.77 rows=15579622 width=699) (actual time=144019.620..144019.711 rows=20 loops=1)" " Merge Cond: (t6.id = t12.movie_id)" " -> Merge Left Join (cost=5182403.90..5622400.75 rows=8502523 width=687) (actual time=136849.731..136849.809 rows=20 loops=1)" " Merge Cond: (t6.id = t19.movie_id)" " -> Merge Left Join (cost=4974472.00..5315778.48 rows=8502523 width=637) (actual time=134972.032..134972.099 rows=20 loops=1)" " Merge Cond: (t6.id = t11.movie_id)" " -> Merge Left Join (cost=1830064.81..2033131.89 rows=1341632 width=561) (actual time=63784.035..63784.062 rows=2 loops=1)" " Merge Cond: (t6.id = t10.movie_id)" " -> Nested Loop Left Join (cost=1417360.29..1594294.02 rows=1044480 width=521) (actual time=59279.246..59279.264 rows=1 loops=1)" " Join Filter: (t6.kind_id = t9.id)" " -> Merge Left Join (cost=1417359.22..1429787.34 rows=1044480 width=507) (actual time=59279.222..59279.224 rows=1 loops=1)" " Merge Cond: (t6.id = t8.movie_id)" " -> Merge Left Join (cost=1405731.84..1414378.65 rows=1044480 width=491) (actual time=59121.773..59121.775 rows=1 loops=1)" " Merge Cond: (t6.id = t7.movie_id)" " -> Sort (cost=1346206.04..1348817.24 rows=1044480 width=416) (actual time=58095.230..58095.231 rows=1 loops=1)" " Sort Key: t6.id" " Sort Method: quicksort Memory: 17kB" " -> Hash Left Join (cost=172406.29..456387.53 rows=1044480 width=416) (actual time=57969.371..58095.208 rows=1 loops=1)" " Hash Cond: (t2.movie_id = t6.id)" " -> Hash Left Join (cost=104700.38..256885.82 rows=1044480 width=358) (actual time=49981.493..50006.303 rows=1 loops=1)" " Hash Cond: (t2.role_id = t5.id)" " -> Hash Left Join (cost=104699.11..242522.95 rows=1044480 width=343) (actual time=49981.441..50006.250 rows=1 loops=1)" " Hash Cond: (t2.person_role_id = t4.id)" " -> Hash Left Join (cost=464.96..12283.95 rows=1044480 width=269) (actual time=0.071..0.087 rows=1 loops=1)" " Hash Cond: (n1.id = t3.person_id)" " -> Nested Loop Left Join (cost=0.00..49.39 rows=7680 width=160) (actual time=0.051..0.066 rows=1 loops=1)" " -> Nested Loop Left Join (cost=0.00..17.04 rows=3 width=119) (actual time=0.038..0.041 rows=1 loops=1)" " -> Index Scan using name_pkey on name n1 (cost=0.00..8.68 rows=1 width=39) (actual time=0.022..0.024 rows=1 loops=1)" " Index Cond: (id = 2003)" " -> Index Scan using aka_name_idx_person on aka_name (cost=0.00..8.34 rows=1 width=80) (actual time=0.010..0.010 rows=0 loops=1)" " Index Cond: ((aka_name.person_id = 2003) AND (n1.id = aka_name.person_id))" " -> Index Scan using cast_info_idx_pid on cast_info t2 (cost=0.00..10.77 rows=1 width=41) (actual time=0.011..0.020 rows=1 loops=1)" " Index Cond: ((t2.person_id = 2003) AND (n1.id = t2.person_id))" " -> Hash (cost=463.26..463.26 rows=136 width=109) (actual time=0.010..0.010 rows=0 loops=1)" " -> Index Scan using person_info_idx_pid on person_info t3 (cost=0.00..463.26 rows=136 width=109) (actual time=0.009..0.009 rows=0 loops=1)" " Index Cond: (person_id = 2003)" " -> Hash (cost=42697.62..42697.62 rows=2442362 width=74) (actual time=49305.872..49305.872 rows=2442362 loops=1)" " -> Seq Scan on char_name t4 (cost=0.00..42697.62 rows=2442362 width=74) (actual time=14.066..22775.087 rows=2442362 loops=1)" " -> Hash (cost=1.12..1.12 rows=12 width=15) (actual time=0.024..0.024 rows=12 loops=1)" " -> Seq Scan on role_type t5 (cost=0.00..1.12 rows=12 width=15) (actual time=0.012..0.014 rows=12 loops=1)" " -> Hash (cost=31134.07..31134.07 rows=1573507 width=58) (actual time=7841.225..7841.225 rows=1573507 loops=1)" " -> Seq Scan on title t6 (cost=0.00..31134.07 rows=1573507 width=58) (actual time=21.507..2799.443 rows=1573507 loops=1)" " -> Materialize (cost=59525.80..63203.88 rows=294246 width=75) (actual time=812.376..984.958 rows=192075 loops=1)" " -> Sort (cost=59525.80..60261.42 rows=294246 width=75) (actual time=812.363..922.452 rows=192075 loops=1)" " Sort Key: t7.movie_id" " Sort Method: external merge Disk: 24880kB" " -> Seq Scan on aka_title t7 (cost=0.00..6646.46 rows=294246 width=75) (actual time=24.652..164.822 rows=294246 loops=1)" " -> Materialize (cost=11627.38..12884.43 rows=100564 width=16) (actual time=123.819..149.086 rows=41907 loops=1)" " -> Sort (cost=11627.38..11878.79 rows=100564 width=16) (actual time=123.807..138.530 rows=41907 loops=1)" " Sort Key: t8.movie_id" " Sort Method: external merge Disk: 3136kB" " -> Seq Scan on complete_cast t8 (cost=0.00..1549.64 rows=100564 width=16) (actual time=0.013..10.744 rows=100564 loops=1)" " -> Materialize (cost=1.08..1.15 rows=7 width=14) (actual time=0.016..0.029 rows=7 loops=1)" " -> Seq Scan on kind_type t9 (cost=0.00..1.07 rows=7 width=14) (actual time=0.011..0.013 rows=7 loops=1)" " -> Materialize (cost=412704.52..437969.09 rows=2021166 width=40) (actual time=3420.356..4278.545 rows=1028995 loops=1)" " -> Sort (cost=412704.52..417757.43 rows=2021166 width=40) (actual time=3420.349..3953.483 rows=1028995 loops=1)" " Sort Key: t10.movie_id" " Sort Method: external merge Disk: 90960kB" " -> Seq Scan on movie_companies t10 (cost=0.00..35214.66 rows=2021166 width=40) (actual time=13.271..566.893 rows=2021166 loops=1)" " -> Materialize (cost=3144407.19..3269057.42 rows=9972019 width=76) (actual time=65485.672..70083.219 rows=5039009 loops=1)" " -> Sort (cost=3144407.19..3169337.23 rows=9972019 width=76) (actual time=65485.667..68385.550 rows=5038999 loops=1)" " Sort Key: t11.movie_id" " Sort Method: external merge Disk: 735512kB" " -> Seq Scan on movie_info t11 (cost=0.00..212815.19 rows=9972019 width=76) (actual time=15.750..15715.608 rows=9972019 loops=1)" " -> Materialize (cost=207925.01..219867.92 rows=955433 width=50) (actual time=1483.989..1785.636 rows=429401 loops=1)" " -> Sort (cost=207925.01..210313.59 rows=955433 width=50) (actual time=1483.983..1654.165 rows=429401 loops=1)" " Sort Key: t19.movie_id" " Sort Method: external merge Disk: 31720kB" " -> Seq Scan on movie_info_idx t19 (cost=0.00..15047.33 rows=955433 width=50) (actual time=7.284..221.597 rows=955433 loops=1)" " -> Materialize (cost=501605.39..537645.64 rows=2883220 width=12) (actual time=5823.040..6868.242 rows=1597396 loops=1)" " -> Sort (cost=501605.39..508813.44 rows=2883220 width=12) (actual time=5823.026..6477.517 rows=1597396 loops=1)" " Sort Key: t12.movie_id" " Sort Method: external merge Disk: 78888kB" " -> Seq Scan on movie_keyword t12 (cost=0.00..44417.20 rows=2883220 width=12) (actual time=11.672..839.498 rows=2883220 loops=1)" " -> Materialize (cost=141143.93..152995.81 rows=948150 width=16) (actual time=1916.356..2253.004 rows=478358 loops=1)" " -> Sort (cost=141143.93..143514.31 rows=948150 width=16) (actual time=1916.344..2125.698 rows=478358 loops=1)" " Sort Key: t13.linked_movie_id" " Sort Method: external merge Disk: 29632kB" " -> Seq Scan on movie_link t13 (cost=0.00..14607.50 rows=948150 width=16) (actual time=27.610..297.962 rows=948150 loops=1)" " -> Hash (cost=1.18..1.18 rows=18 width=16) (actual time=0.020..0.020 rows=18 loops=1)" " -> Seq Scan on link_type t14 (cost=0.00..1.18 rows=18 width=16) (actual time=0.010..0.012 rows=18 loops=1)" " -> Hash (cost=1537.10..1537.10 rows=91010 width=24) (actual time=54.055..54.055 rows=91010 loops=1)" " -> Seq Scan on keyword t15 (cost=0.00..1537.10 rows=91010 width=24) (actual time=0.006..14.703 rows=91010 loops=1)" " -> Hash (cost=4585.61..4585.61 rows=245461 width=42) (actual time=445.269..445.269 rows=245461 loops=1)" " -> Seq Scan on company_name t16 (cost=0.00..4585.61 rows=245461 width=42) (actual time=12.037..309.961 rows=245461 loops=1)" " -> Hash (cost=1.04..1.04 rows=4 width=25) (actual time=0.013..0.013 rows=4 loops=1)" " -> Seq Scan on company_type t17 (cost=0.00..1.04 rows=4 width=25) (actual time=0.009..0.010 rows=4 loops=1)" " -> Hash (cost=1.04..1.04 rows=4 width=13) (actual time=0.006..0.006 rows=4 loops=1)" " -> Seq Scan on comp_cast_type t18 (cost=0.00..1.04 rows=4 width=13) (actual time=0.002..0.003 rows=4 loops=1)" "Total runtime: 147055.016 ms" Is there anyway to force the name.id = 2003 before it tries to join all the tables together? As you can see, the end result is 4 tuples but it seems like it should be a fast join by using the available index after it limited it down with the name clause, although very complex.

  Read the article

• Change the Default Number of Rows of Tiles on the Windows 8 UI (Metro) Screen

  - by Lori Kaufman

  By default, Windows 8 automatically sets the number of rows of tiles to fit your screen, depending on your monitor size and resolution. However, you can tell Windows 8 to display a certain number of rows of tiles at all times, despite the screen resolution. To do this, we will make a change to the registry. If you are not already on the Desktop, click the Desktop tile on the Start screen. NOTE: Before making changes to the registry, be sure you back it up. We also recommend creating a restore point you can use to restore your system if something goes wrong. HTG Explains: Why Do Hard Drives Show the Wrong Capacity in Windows? Java is Insecure and Awful, It’s Time to Disable It, and Here’s How What Are the Windows A: and B: Drives Used For?

  Read the article

• Adding rows to a data-bound DataGridView [Winforms]

  - by Mishko

  I want to bind a table from a database to a DataGridView, but I want to also add one more row with a sum of the values in the columns with indexes 3,4,7,8,9... How can I do that? Thanks! DataTable table1 = new DataTable(); double brutoUkupno1 = 0; double porezUkupno1 = 0; double doprinosUkupno1 = 0; double netoUkupno1 = 0; double doprinosTeretUkupno1 = 0; double topliObrokUkupno1 = 0; double regresUkupno1 = 0; Connection con = new Connection(); table1 = con.boundTable(month, Convert.ToInt32(year)); //This is method which returns DataTable table1.Rows.Add(null, null, null, null, null, null, null, null, null, null, null, null, null, null); table1.Rows.Add(null, null, null, null, null, null, null, null, null, null, null, null, null, null); dgv2.Visible = true; dgv2.DataSource = table1; for (int i = 0; i < dgv2.RowCount - 2; i++) { topliObrokUkupno1 += Convert.ToDouble(dgv2.Rows[i].Cells[7].Value); regresUkupno1 += Convert.ToDouble(dgv2.Rows[i].Cells[8].Value); brutoUkupno1 += Convert.ToDouble(dgv2.Rows[i].Cells[9].Value); porezUkupno1 += Convert.ToDouble(dgv2.Rows[i].Cells[10].Value); doprinosUkupno1 += Convert.ToDouble(dgv2.Rows[i].Cells[11].Value); netoUkupno1 += Convert.ToDouble(dgv2.Rows[i].Cells[12].Value); doprinosTeretUkupno1 += Convert.ToDouble(dgv2.Rows[i].Cells[13].Value); //Now I am having problems with this below, putting things above to dgv2 : } dgv2.Rows[dgv2.Rows.Count - 1].Cells[0].Value = "Ukupno"; dgv2.Rows[dgv2.Rows.Count - 1].Cells[3].Value = month.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[4].Value = year.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[7].Value = topliObrokUkupno1.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[8].Value = regresUkupno1.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[9].Value = brutoUkupno1.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[10].Value = porezUkupno1.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[11].Value = doprinosUkupno1.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[12].Value = netoUkupno1.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[13].Value = doprinosTeretUkupno1.ToString(); dgv2.Rows[dgv2.RowCount - 2].Height = 3; dgv2.Rows[dgv2.RowCount - 2].DefaultCellStyle.BackColor = Color.Black;

  Read the article

• Combine multiple rows into one

  - by Jim

  I am trying to combine multiple rows of data into one. Column A contains the value on which the groupings will be based -- rows whose Column A values match will be combined into one row. My range extends from column A through X so I need a matching row of data to start in column Y. Example: +--------------+ ¦ 1001 ¦ A ¦ C ¦ ¦ 1001 ¦ B ¦ D ¦ ¦ 1002 ¦ A ¦ E ¦ ¦ 1002 ¦ B ¦ F ¦ ¦ 1002 ¦ C ¦ G ¦ +--------------+ Desired Result: +------------------------------+ ¦ 1001 ¦ A ¦ C ¦ B ¦ D ¦ ¦ ¦ ¦ 1002 ¦ A ¦ E ¦ B ¦ F ¦ C ¦ G ¦ +------------------------------+ The VBA code I am currently using is not taking the entire contents of the matched row. It is only taking the data in the 2nd column and moving it up. VBA Code: Sub Mergeitems() Dim cl As Range Dim rw As Range Set rw = ActiveCell Do While rw <> "" ' for each row in data set ' find first empty cell on row Set cl = rw.Offset(0, 1) Do While cl <> "" Set cl = cl.Offset(0, 1) Loop ' if next row needs to be processed... Do While rw = rw.Offset(1, 0) cl = rw.Offset(1, 1) ' move the data Set cl = cl.Offset(0, 1) ' update pointer to next blank cell rw.Offset(1, 0).EntireRow.Delete xlShiftUp ' delete old data Loop ' next row Set rw = rw.Offset(1, 0) Loop End Sub

  Read the article

• Excel 2010 Delete Rows with Locked Cells

  - by Roger

  I have a spreadsheet that has formulas that I want to lock, once the information in the row is completed, i.e. there is a discharge date, I want the end-user to be able to delete the row and insert it into another worksheet. I do not want to use VBA, I was successful in sequencing the protection steps, but now can not repeat the process. There has to be a way to use the protect sheet "delete rows" check box and locked cells together to enable this process

  Read the article

• function to find common rows between more than two data frames in R

  - by biohazard

  I have 4 data frames, and would like to find the rows whose values in a certain column do not exist in any of the other data frames. I wrote this function: #function to test presence of $Name in 3 other datasets common <- function(a, b, c, d) { is.B <- is.numeric(a$Name %in% b$Name) == 1 is.C <- is.numeric(a$Name %in% c$Name) == 1 is.D <- is.numeric(a$Name %in% d$Name) == 1 t <- as.numeric(is.B & is.C & is.D) t } However, the output is always t = 0. This means that it tells me that there are no unique rows in any data sets, even though the datas frames have very different numbers of rows. Since there are no duplicate rows in any of the data frames, I should be getting t = 1 for at least some rows in the biggest dataset. Can someone figure out what I got wrong?

  Read the article

• Limit Selectable Rows for MultiSelect in cxGrid (Developer Express)

  - by JPS

  Does nybody know how to limit the number of rows the user can select in a cxGrid where MultiSelect is active? The Grid is working in GridMode = True - because the amount of data is really big (200.000 rows). - Now if you press CTRL+A all rows are loaded because the grid wants to select them all. Any tipps? Thank you

  Read the article

• UITableView rows load asynchronously

  - by Mohan

  On launch of app, i want to show 10 rows, at the bottom "Load 15 more", on click on "Load 15 more" the next 15 rows should add to the bottom of the table and again show "Load 15 more", until no rows found. note: I am using php to load table data as an xml feed. If anyone has any tutorial/sample code pl send me the link

  Read the article

• Strange: Planner takes decision with lower cost, but (very) query long runtime

  - by S38

  Facts: PGSQL 8.4.2, Linux I make use of table inheritance Each Table contains 3 million rows Indexes on joining columns are set Table statistics (analyze, vacuum analyze) are up-to-date Only used table is "node" with varios partitioned sub-tables Recursive query (pg = 8.4) Now here is the explained query: WITH RECURSIVE rows AS ( SELECT * FROM ( SELECT r.id, r.set, r.parent, r.masterid FROM d_storage.node_dataset r WHERE masterid = 3533933 ) q UNION ALL SELECT * FROM ( SELECT c.id, c.set, c.parent, r.masterid FROM rows r JOIN a_storage.node c ON c.parent = r.id ) q ) SELECT r.masterid, r.id AS nodeid FROM rows r QUERY PLAN ----------------------------------------------------------------------------------------------------------------------------------------------------------------- CTE Scan on rows r (cost=2742105.92..2862119.94 rows=6000701 width=16) (actual time=0.033..172111.204 rows=4 loops=1) CTE rows -> Recursive Union (cost=0.00..2742105.92 rows=6000701 width=28) (actual time=0.029..172111.183 rows=4 loops=1) -> Index Scan using node_dataset_masterid on node_dataset r (cost=0.00..8.60 rows=1 width=28) (actual time=0.025..0.027 rows=1 loops=1) Index Cond: (masterid = 3533933) -> Hash Join (cost=0.33..262208.33 rows=600070 width=28) (actual time=40628.371..57370.361 rows=1 loops=3) Hash Cond: (c.parent = r.id) -> Append (cost=0.00..211202.04 rows=12001404 width=20) (actual time=0.011..46365.669 rows=12000004 loops=3) -> Seq Scan on node c (cost=0.00..24.00 rows=1400 width=20) (actual time=0.002..0.002 rows=0 loops=3) -> Seq Scan on node_dataset c (cost=0.00..55001.01 rows=3000001 width=20) (actual time=0.007..3426.593 rows=3000001 loops=3) -> Seq Scan on node_stammdaten c (cost=0.00..52059.01 rows=3000001 width=20) (actual time=0.008..9049.189 rows=3000001 loops=3) -> Seq Scan on node_stammdaten_adresse c (cost=0.00..52059.01 rows=3000001 width=20) (actual time=3.455..8381.725 rows=3000001 loops=3) -> Seq Scan on node_testdaten c (cost=0.00..52059.01 rows=3000001 width=20) (actual time=1.810..5259.178 rows=3000001 loops=3) -> Hash (cost=0.20..0.20 rows=10 width=16) (actual time=0.010..0.010 rows=1 loops=3) -> WorkTable Scan on rows r (cost=0.00..0.20 rows=10 width=16) (actual time=0.002..0.004 rows=1 loops=3) Total runtime: 172111.371 ms (16 rows) (END) So far so bad, the planner decides to choose hash joins (good) but no indexes (bad). Now after doing the following: SET enable_hashjoins TO false; The explained query looks like that: QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- CTE Scan on rows r (cost=15198247.00..15318261.02 rows=6000701 width=16) (actual time=0.038..49.221 rows=4 loops=1) CTE rows -> Recursive Union (cost=0.00..15198247.00 rows=6000701 width=28) (actual time=0.032..49.201 rows=4 loops=1) -> Index Scan using node_dataset_masterid on node_dataset r (cost=0.00..8.60 rows=1 width=28) (actual time=0.028..0.031 rows=1 loops=1) Index Cond: (masterid = 3533933) -> Nested Loop (cost=0.00..1507822.44 rows=600070 width=28) (actual time=10.384..16.382 rows=1 loops=3) Join Filter: (r.id = c.parent) -> WorkTable Scan on rows r (cost=0.00..0.20 rows=10 width=16) (actual time=0.001..0.003 rows=1 loops=3) -> Append (cost=0.00..113264.67 rows=3001404 width=20) (actual time=8.546..12.268 rows=1 loops=4) -> Seq Scan on node c (cost=0.00..24.00 rows=1400 width=20) (actual time=0.001..0.001 rows=0 loops=4) -> Bitmap Heap Scan on node_dataset c (cost=58213.87..113214.88 rows=3000001 width=20) (actual time=1.906..1.906 rows=0 loops=4) Recheck Cond: (c.parent = r.id) -> Bitmap Index Scan on node_dataset_parent (cost=0.00..57463.87 rows=3000001 width=0) (actual time=1.903..1.903 rows=0 loops=4) Index Cond: (c.parent = r.id) -> Index Scan using node_stammdaten_parent on node_stammdaten c (cost=0.00..8.60 rows=1 width=20) (actual time=3.272..3.273 rows=0 loops=4) Index Cond: (c.parent = r.id) -> Index Scan using node_stammdaten_adresse_parent on node_stammdaten_adresse c (cost=0.00..8.60 rows=1 width=20) (actual time=4.333..4.333 rows=0 loops=4) Index Cond: (c.parent = r.id) -> Index Scan using node_testdaten_parent on node_testdaten c (cost=0.00..8.60 rows=1 width=20) (actual time=2.745..2.746 rows=0 loops=4) Index Cond: (c.parent = r.id) Total runtime: 49.349 ms (21 rows) (END) - incredibly faster, because indexes were used. Notice: Cost of the second query ist somewhat higher than for the first query. So the main question is: Why does the planner make the first decision, instead of the second? Also interesing: Via SET enable_seqscan TO false; i temp. disabled seq scans. Than the planner used indexes and hash joins, and the query still was slow. So the problem seems to be the hash join. Maybe someone can help in this confusing situation? thx, R.

  Read the article

• GWT Table with collapsible rows

  - by carlo

  Anyone know an open source component for a GWT Table with collapsible rows? Thanks in advance.

  Read the article

• Getting the count of rows in a Java resultset

  - by Mr Morgan

  Hello Does anyone know a better way of getting the number of rows in a Java resultset returned from a MySQL database? I'm currently using this: public static int getResultSetRowCount(ResultSet resultSet) { int size = 0; try { resultSet.last(); size = resultSet.getRow(); resultSet.beforeFirst(); } catch(Exception ex) { return 0; } return size; } But am open to alternatives. The resultset returned is not going to be the total number of rows read from the database so I don;t think I can use SQL COUNT. Thanks Mr Morgan.

  Read the article

• nested sortable table rows jquery

  - by FLY

  Hi, I am trying to sort rows of a table, and put them as 'child' elements of a table row I found this: http://code.google.com/p/nestedsortables/ this works with ul li lists, but i want to build it for a table. <table> <thead> <th>tablehead</th> </thead> <tbody> <tr><td>somevalue</td></tr> <tr><td>somevalue2</td></tr> </tbody> </table> so yeah you can use jquery.sortable() and sort the rows, but i want 'somevalue' to be become a child element of 'somevalue2' if you drag 'somevalue' over 'somevalue2' I don't know if it is posible with a table. can anyone help me? Thnx!

  Read the article

• MySQL - Return number of rows matching query data?

  - by Keir Simmons

  I have a query as follows: SELECT 1 FROM shop_inventory a JOIN shop_items b ON b.id=a.iid AND b.szbid=3362169 AND b.cid=a.cid WHERE a.cid=1 GROUP BY a.bought The only thing I need to do with this data is work out the number of rows returned (which I could do with mysqli -> num_rows;. However, I would like to know if there is a method to return the number of rows that match the query, without having to run num_rows? For example, the query should return one row, with one result, number_of_rows. I hope this makes sense!

  Read the article

• Getting certain rows from list of rows(C#3.0)

  - by Newbie

  I have a datatable having 44 rows. I have converted that to list and want to take the rows from 4th row till the last(i.e. 44th). I have the below program IEnumerable<DataRow> lstDr = dt.AsEnumerable().Skip(4).Take(dt.Rows.Count); But the output is Enumeration yielded no results I am using c#3.0 Please help.

  Read the article

• Expanding Rows for Unique Checkboxes

  - by Marc Morgan

  I was just recently given a project for my job to write a script that compares two mysql databases and print out information into an html table. Currently, I am trying to insert a checkbox by each individual's name and when selected, rows pertaining to that individual will expand underneath the person's name. I am combining javascript into my script to do this, although I really have no experience is it. The problem I am having is that when any checkbox is selected, all the rows for each individual is expanding instead of the rows pertaining only to the one individual selected. Here is the coding so far: <?php $link = mysql_connect ($server = "harris.lib.fit.edu", $username = "", $password = "") or die(mysql_error()); $db = mysql_select_db ("library-test") or die(mysql_error()); $ids = mysql_query("SELECT * FROM `ifc_studylog`") or die(mysql_error()); //not single quotes (tilda apostrophy) $x=0; $n=0; while($row = mysql_fetch_array( $ids )) { $tracksid1[$x] = $row['fitID']; $checkin[$x] = $row['checkin']; $checkout[$x] = $row['checkout']; $n++; $x++; } $names = mysql_query("SELECT * FROM `ifc_users`") or die(mysql_error()); //not single quotes (tilda apostrophy) $x=0; while($row = mysql_fetch_array( $names )) { $tracksnamefirst[$x] = $row['firstName']; $tracksnamesecond[$x] = $row['lastname']; $tracksid2[$x] = $row['fitID']; $tracksuser[$x] = $row['tracks']; $x++; } $x=0; foreach($tracksid2 as $comparename) { $chk = strval($x); ?> <script type='text/javascript' src='http://code.jquery.com/jquery-1.4.2.js'></script> <script type='text/javascript'> $(window).load(function () { $('.varx').click(function () { $('.text').toggle(this.checked); });}); </script> <?php echo '<td><input id = "<?=$chk?>" type="checkbox" class="varx" /></td>'; echo '<td align="center">'.$comparename.'</td>'; echo'<td align="center">'.$tracksnamefirst[$x].'</td>'; echo'<td align="center">'.$tracksnamesecond[$x].'</td>'; $z=0; foreach($tracksid1 as $compareid) { $HH=0; $MM =0; $SS =0; if($compareid == $comparename)// && $tracks==$tracksuser[$x]) { $SS = sprintf("%02s",(($checkout[$z]-$checkin[$z])%60)); $MM = sprintf("%02s",(($checkout[$z]-$checkin[$z])/60 %60)); $HH = sprintf("%02s",(($checkout[$z]-$checkin[$z])/3600 %24)); // echo'<td align="center">'.$HH.':'.$MM.':'.$SS.'</td>'; echo '</tr>'; echo '<tr>'; echo "<td id='txt' class='text' align='center' colspan='2' style='display:none'></td>"; echo "<td id='txt' class='text' align='center' style='display:none'>".$checkin[$z]."</td>"; echo '</tr>'; } echo '<tr>'; $z++; echo '</tr>'; } $x++; } } ?> Any Help is appreciated and sorry if I am too vague on the subject. The username and password is left off for security purposes.

  Read the article

• Pandas Dataframe add rows on top of dataframe

  - by yash.trojan.25

  I am trying to add blank rows on top of the pandas Dataframe data. Basically, some blank rows and some calculation for each row which contains calculations for Average etc. for that column. Can someone please help me how I can do this? From: A B D E F G H I J 0 -8 10 532 533 533 532 534 532 532 1 -8 12 520 521 523 523 521 521 521 2 -8 14 520 523 522 523 522 521 522 3 -4 2 526 527 527 528 528 527 529 4 -4 4 516 518 517 519 518 516 518 5 -4 6 528 529 530 531 530 528 530 6 -4 8 518 521 521 521 522 519 521 7 -4 10 524 525 525 525 525 524 524 8 -4 12 522 523 524 525 525 522 523 9 -2 2 525 526 527 527 527 525 527 10 -2 4 518 519 519 521 520 519 520 11 -2 6 520 522 522 522 522 520 523 12 -2 8 551 551 552 552 552 550 552 13 -2 10 533 534 535 536 535 534 535 14 -2 12 537 539 539 539 538 537 539 15 -2 14 528 530 530 531 530 529 530 16 -1 2 518 519 519 521 520 518 520 To: A B D E F G H I J Average 525.6 527.1 527.4 528.0 527.6 526.0 527.4 Sigma 8.6 8.3 8.5 8.1 8.3 8.3 8.4 Minimum 516 518 517 519 518 516 518 Maximum 551 551 552 552 552 550 552 0 -8 10 532 533 533 532 534 532 532 1 -8 12 520 521 523 523 521 521 521 2 -8 14 520 523 522 523 522 521 522 3 -4 2 526 527 527 528 528 527 529 4 -4 4 516 518 517 519 518 516 518 5 -4 6 528 529 530 531 530 528 530 6 -4 8 518 521 521 521 522 519 521 7 -4 10 524 525 525 525 525 524 524 8 -4 12 522 523 524 525 525 522 523 9 -2 2 525 526 527 527 527 525 527 10 -2 4 518 519 519 521 520 519 520 11 -2 6 520 522 522 522 522 520 523 12 -2 8 551 551 552 552 552 550 552 13 -2 10 533 534 535 536 535 534 535 14 -2 12 537 539 539 539 538 537 539 15 -2 14 528 530 530 531 530 529 530 16 -1 2 518 519 519 521 520 518 520

  Read the article

• (android) rows of buttons that take up the entire width of the screen

  - by user558043

  I am trying to make 3 rows of 4 buttons each that will take up the entire width of the screen. I have tried Linear Layout but have trouble adding a second row and from what I have read nesting Linear Layouts is bad practice. I tried to use relative layout several times but I cannot manage to get the buttons to fill the width of the screen because it ignores layout_weight, I then tried nesting linear layout in relative layout but layout_weight is still ignored. What is the best way to accomplish this?

  Read the article

• Flex datagrid multiple rows single file

  - by Vish

  Hi, I have a flex datagrid with 3 columns. The first column contains the image name(unique key). The other two columns have username and size details. I want to split the username into lastname, firstname, address and some other stuff. Can we have multiple rows in the grid for one image? Tried multi-line, it works but we need to keep adding spaces and its cumbersome. Since each row in the flex datagrid is represented by one index in the XMLList which is enumerated, is there a way to have more than one row assigned to one image and shown in the grid? something like this.. Thanks, Vish.

  Read the article

• SQL compare entire rows

  - by zmaster

  In SQL server 2008 I have some huge tables (200-300+ cols). Every day we run a batch job generating a new table with timestamp appended to the name of the table. The the tables have no PK. I would like a generic way to compare 2 rows from two tables. Showing which cols having different values is sufficient, but showing the values would be perfect. Thanks a lot Thanks for the answers. I ended up writing my own C# tool to do the job - as Im not allowed to install 3rd party software in my company.

  Read the article

• T-SQL: how to sort table rows based on 2 columns

  - by Criss Nautilus

  I'm quite stuck with this problem for sometime now.. How do I sort column A depending on the contents of Column B? I have this sample: ID count columnA ColumnB 12 1 A B 13 2 C D 14 3 B C I want to sort it like this: ID count ColumnA ColumnB 12 1 A B 14 3 B C 13 2 C D so I need to sort the rows if the previous row of ColumnB = the next row of ColumnA I'm thinking a loop? but can't quite imagine how it will work... I was thinking it will go like this (maybe) SELECT a.ID, a.ColumnA, a.ColumnB FROM TableA WITH a (NOLOCK) LEFT JOIN TableA b WITH (NOLOCK) ON a.ID = b.ID and a.counts = b.counts Where a.columnB = b.ColumnA the above code isn't working though and I was thinking more on the lines of... DECLARE @counts int = 1 DECLARE @done int = 0 --WHILE @done = 0 BEGIN SELECT a.ID, a.ColumnA, a.ColumnB FROM TableA WITH a (NOLOCK) LEFT JOIN TableA b WITH (NOLOCK) ON a.ID = b.ID and a.counts = @counts Where a.columnB = b.ColumnA set @count = @count +1 END If this was a C code, would be easier for me but t-sql's syntax is making it a bit harder for a noobie like me.

  Read the article

• I have problems with adding rows to data-binded DataGridView in desktop app.

  - by Mishko

  DataTable table1 = new DataTable(); double brutoUkupno1 = 0; double porezUkupno1 = 0; double doprinosUkupno1 = 0; double netoUkupno1 = 0; double doprinosTeretUkupno1 = 0; double topliObrokUkupno1 = 0; double regresUkupno1 = 0; Connection con = new Connection(); table1 = con.boundTable(month, Convert.ToInt32(year)); //This is method which returns DataTable table1.Rows.Add(null, null, null, null, null, null, null, null, null, null, null, null, null, null); table1.Rows.Add(null, null, null, null, null, null, null, null, null, null, null, null, null, null); dgv2.Visible = true; dgv2.DataSource = table1; for (int i = 0; i < dgv2.RowCount - 2; i++) { topliObrokUkupno1 += Convert.ToDouble(dgv2.Rows[i].Cells[7].Value); regresUkupno1 += Convert.ToDouble(dgv2.Rows[i].Cells[8].Value); brutoUkupno1 += Convert.ToDouble(dgv2.Rows[i].Cells[9].Value); porezUkupno1 += Convert.ToDouble(dgv2.Rows[i].Cells[10].Value); doprinosUkupno1 += Convert.ToDouble(dgv2.Rows[i].Cells[11].Value); netoUkupno1 += Convert.ToDouble(dgv2.Rows[i].Cells[12].Value); doprinosTeretUkupno1 += Convert.ToDouble(dgv2.Rows[i].Cells[13].Value); //Now I am having problems with this below, putting things above to dgv2 : } dgv2.Rows[dgv2.Rows.Count - 1].Cells[0].Value = "Ukupno"; dgv2.Rows[dgv2.Rows.Count - 1].Cells[3].Value = month.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[4].Value = year.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[7].Value = topliObrokUkupno1.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[8].Value = regresUkupno1.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[9].Value = brutoUkupno1.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[10].Value = porezUkupno1.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[11].Value = doprinosUkupno1.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[12].Value = netoUkupno1.ToString(); dgv2.Rows[dgv2.Rows.Count - 1].Cells[13].Value = doprinosTeretUkupno1.ToString(); dgv2.Rows[dgv2.RowCount - 2].Height = 3; dgv2.Rows[dgv2.RowCount - 2].DefaultCellStyle.BackColor = Color.Black;

  Read the article

• Random Page Cost and Planning

  - by Dave Jarvis

  A query (see below) that extracts climate data from weather stations within a given radius of a city using the dates for which those weather stations actually have data. The query uses the table's only index, rather effectively: CREATE UNIQUE INDEX measurement_001_stc_idx ON climate.measurement_001 USING btree (station_id, taken, category_id); Reducing the server's configuration value for random_page_cost from 2.0 to 1.1 had a massive performance improvement for the given range (nearly an order of magnitude) because it suggested to PostgreSQL that it should use the index. While the results now return in 5 seconds (down from ~85 seconds), problematic lines remain. Bumping the query's end date by a single year causes a full table scan: sc.taken_start >= '1900-01-01'::date AND sc.taken_end <= '1997-12-31'::date AND How do I persuade PostgreSQL to use the indexes regardless of years between the two dates? (A full table scan against 43 million rows is probably not the best plan.) Find the EXPLAIN ANALYSE results below the query. Thank you! Query SELECT extract(YEAR FROM m.taken) AS year, avg(m.amount) AS amount FROM climate.city c, climate.station s, climate.station_category sc, climate.measurement m WHERE c.id = 5182 AND earth_distance( ll_to_earth(c.latitude_decimal,c.longitude_decimal), ll_to_earth(s.latitude_decimal,s.longitude_decimal)) / 1000 <= 30 AND s.elevation BETWEEN 0 AND 3000 AND s.applicable = TRUE AND sc.station_id = s.id AND sc.category_id = 1 AND sc.taken_start >= '1900-01-01'::date AND sc.taken_end <= '1996-12-31'::date AND m.station_id = s.id AND m.taken BETWEEN sc.taken_start AND sc.taken_end AND m.category_id = sc.category_id GROUP BY extract(YEAR FROM m.taken) ORDER BY extract(YEAR FROM m.taken) 1900 to 1996: Index "Sort (cost=1348597.71..1348598.21 rows=200 width=12) (actual time=2268.929..2268.935 rows=92 loops=1)" " Sort Key: (date_part('year'::text, (m.taken)::timestamp without time zone))" " Sort Method: quicksort Memory: 32kB" " -> HashAggregate (cost=1348586.56..1348590.06 rows=200 width=12) (actual time=2268.829..2268.886 rows=92 loops=1)" " -> Nested Loop (cost=0.00..1344864.01 rows=744510 width=12) (actual time=0.807..2084.206 rows=134893 loops=1)" " Join Filter: ((m.taken >= sc.taken_start) AND (m.taken <= sc.taken_end) AND (sc.station_id = m.station_id))" " -> Nested Loop (cost=0.00..12755.07 rows=1220 width=18) (actual time=0.502..521.937 rows=23 loops=1)" " Join Filter: ((sec_to_gc(cube_distance((ll_to_earth((c.latitude_decimal)::double precision, (c.longitude_decimal)::double precision))::cube, (ll_to_earth((s.latitude_decimal)::double precision, (s.longitude_decimal)::double precision))::cube)) / 1000::double precision) <= 30::double precision)" " -> Index Scan using city_pkey1 on city c (cost=0.00..2.47 rows=1 width=16) (actual time=0.014..0.015 rows=1 loops=1)" " Index Cond: (id = 5182)" " -> Nested Loop (cost=0.00..9907.73 rows=3659 width=34) (actual time=0.014..28.937 rows=3458 loops=1)" " -> Seq Scan on station_category sc (cost=0.00..970.20 rows=3659 width=14) (actual time=0.008..10.947 rows=3458 loops=1)" " Filter: ((taken_start >= '1900-01-01'::date) AND (taken_end <= '1996-12-31'::date) AND (category_id = 1))" " -> Index Scan using station_pkey1 on station s (cost=0.00..2.43 rows=1 width=20) (actual time=0.004..0.004 rows=1 loops=3458)" " Index Cond: (s.id = sc.station_id)" " Filter: (s.applicable AND (s.elevation >= 0) AND (s.elevation <= 3000))" " -> Append (cost=0.00..1072.27 rows=947 width=18) (actual time=6.996..63.199 rows=5865 loops=23)" " -> Seq Scan on measurement m (cost=0.00..25.00 rows=6 width=22) (actual time=0.000..0.000 rows=0 loops=23)" " Filter: (m.category_id = 1)" " -> Bitmap Heap Scan on measurement_001 m (cost=20.79..1047.27 rows=941 width=18) (actual time=6.995..62.390 rows=5865 loops=23)" " Recheck Cond: ((m.station_id = sc.station_id) AND (m.taken >= sc.taken_start) AND (m.taken <= sc.taken_end) AND (m.category_id = 1))" " -> Bitmap Index Scan on measurement_001_stc_idx (cost=0.00..20.55 rows=941 width=0) (actual time=5.775..5.775 rows=5865 loops=23)" " Index Cond: ((m.station_id = sc.station_id) AND (m.taken >= sc.taken_start) AND (m.taken <= sc.taken_end) AND (m.category_id = 1))" "Total runtime: 2269.264 ms" 1900 to 1997: Full Table Scan "Sort (cost=1370192.26..1370192.76 rows=200 width=12) (actual time=86165.797..86165.809 rows=94 loops=1)" " Sort Key: (date_part('year'::text, (m.taken)::timestamp without time zone))" " Sort Method: quicksort Memory: 32kB" " -> HashAggregate (cost=1370181.12..1370184.62 rows=200 width=12) (actual time=86165.654..86165.736 rows=94 loops=1)" " -> Hash Join (cost=4293.60..1366355.81 rows=765061 width=12) (actual time=534.786..85920.007 rows=139721 loops=1)" " Hash Cond: (m.station_id = sc.station_id)" " Join Filter: ((m.taken >= sc.taken_start) AND (m.taken <= sc.taken_end))" " -> Append (cost=0.00..867005.80 rows=43670150 width=18) (actual time=0.009..79202.329 rows=43670079 loops=1)" " -> Seq Scan on measurement m (cost=0.00..25.00 rows=6 width=22) (actual time=0.001..0.001 rows=0 loops=1)" " Filter: (category_id = 1)" " -> Seq Scan on measurement_001 m (cost=0.00..866980.80 rows=43670144 width=18) (actual time=0.008..73312.008 rows=43670079 loops=1)" " Filter: (category_id = 1)" " -> Hash (cost=4277.93..4277.93 rows=1253 width=18) (actual time=534.704..534.704 rows=25 loops=1)" " -> Nested Loop (cost=847.87..4277.93 rows=1253 width=18) (actual time=415.837..534.682 rows=25 loops=1)" " Join Filter: ((sec_to_gc(cube_distance((ll_to_earth((c.latitude_decimal)::double precision, (c.longitude_decimal)::double precision))::cube, (ll_to_earth((s.latitude_decimal)::double precision, (s.longitude_decimal)::double precision))::cube)) / 1000::double precision) <= 30::double precision)" " -> Index Scan using city_pkey1 on city c (cost=0.00..2.47 rows=1 width=16) (actual time=0.012..0.014 rows=1 loops=1)" " Index Cond: (id = 5182)" " -> Hash Join (cost=847.87..1352.07 rows=3760 width=34) (actual time=6.427..35.107 rows=3552 loops=1)" " Hash Cond: (s.id = sc.station_id)" " -> Seq Scan on station s (cost=0.00..367.25 rows=7948 width=20) (actual time=0.004..23.529 rows=7949 loops=1)" " Filter: (applicable AND (elevation >= 0) AND (elevation <= 3000))" " -> Hash (cost=800.87..800.87 rows=3760 width=14) (actual time=6.416..6.416 rows=3552 loops=1)" " -> Bitmap Heap Scan on station_category sc (cost=430.29..800.87 rows=3760 width=14) (actual time=2.316..5.353 rows=3552 loops=1)" " Recheck Cond: (category_id = 1)" " Filter: ((taken_start >= '1900-01-01'::date) AND (taken_end <= '1997-12-31'::date))" " -> Bitmap Index Scan on station_category_station_category_idx (cost=0.00..429.35 rows=6376 width=0) (actual time=2.268..2.268 rows=6339 loops=1)" " Index Cond: (category_id = 1)" "Total runtime: 86165.936 ms"

  Read the article

• How to reorder table rows (drag-and-drop) along with their sub rows

  - by Eirik Johansen

  I have a table which looks like this (simplified for the example): <table> <tr class="lvl_1"> <td> Level 1 </td> </tr> <tr class="lvl_2"> <td> Level 2 </td> </tr> <tr class="lvl_3"> <td> Level 3 </td> </tr> <tr class="lvl_1"> <td> Level 1 </td> </tr> <tr class="lvl_2"> <td> Level 2 </td> </tr> <tr class="lvl_3"> <td> Level 3 </td> </tr> The content in the rows with the lvl_3 class are children of the previous lvl_2 row, and the lvl_2 rows are children of the previous lvl_1. Had the data been a list, it would have looked something like this: Level 1 -- Level 2 ---- Level 3 Level 1 -- Level 2 ---- Level 3 I'm not looking to implement drag-and-drop sorting functionality, make it possible to rearrange the level 1 and two rows. The tricky part is that once I start moving a row, the corresponding children (and grand-children, if any) should move along with it. Is this even possible with the current markup, or do I have to rearrange the code? Thanks in advance !

  Read the article

1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >