Share this
A step-by-step look at MySQL returns results in a non-deterministic order.
by Edwin Wang on Feb 13, 2017 9:26:00 AM
Whenever we want a query's results sorted, you may think of using the clause "order by." You are correct: most of the time, MySQL will return the results in expected order with "order by."
Be careful, though. Sometimes MySQL may return results in the non-deterministic order even with "order by."
Indeed, if a query is ordered by a non-unique column, it may return results in an unexpected order. I tested the below example on MySQL 5.1.73, 5.5.54 and 5.6.19 and got the same result. However, when I applied the same example on MySQL 5.7.17, it returned the results in an unexpected order differently.
Follow me step-by-step and see how MySQL returns results in a non-deterministic order. Step 1-4 is for MySQL 5.1.73, 5.5.54 and 5.6.19, Step 5 is for MySQL 5.7.17. After the example, I will explain the reason behind this output.
Step 1. Create the table as below:
CREATE TABLE `user_rankings` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`sort_order` int(11) NOT NULL,
`equals_role` varchar(40) NOT NULL DEFAULT '',
`equals_user_id` int(11) NOT NULL,
`metric_posts` int(11) NOT NULL DEFAULT '0',
`metric_pageviews` int(11) NOT NULL DEFAULT '0',
`metric_logins` int(11) NOT NULL DEFAULT '0',
`metric_minutes_online` int(11) NOT NULL DEFAULT '0',
`average_message_rating` int(11) NOT NULL DEFAULT '0',
`registration_age` int(11) NOT NULL DEFAULT '0',
`metric_tags` int(11) NOT NULL DEFAULT '0',
`rank_formula_enabled` tinyint(1) DEFAULT NULL,
`rank_formula` varchar(5000) DEFAULT NULL,
`rank_name` varchar(80) NOT NULL,
`rank_bold` tinyint(1) NOT NULL DEFAULT '0',
`rank_color` varchar(6) NOT NULL DEFAULT '',
`rank_icon` varchar(255) NOT NULL DEFAULT '',
`rank_icon_right` varchar(255) NOT NULL DEFAULT '',
`rank_icon_thread` varchar(255) NOT NULL DEFAULT '',
`grant_roles` varchar(4100) NOT NULL DEFAULT '',
`remove_roles` varchar(4100) NOT NULL DEFAULT '',
`kudos_weight` int(11) DEFAULT NULL,
`deleted` tinyint(1) NOT NULL DEFAULT '0',
`row_version` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
KEY `IDX_USER_RANKINGS_ROW_VERSION` (`row_version`)
) ENGINE=InnoDB AUTO_INCREMENT=32 DEFAULT CHARSET=utf8;
Step 2. Insert into the table 31 rows of data as below:
INSERT INTO `user_rankings` VALUES (1,0,'Administrator,Ipsos Admin',-1,0,0,0,0,0,0,0,1,'hasRole(\"Administrator\") || hasRole(\"Ipsos Admin\") || hasRole(\"Acat_Moderator\") || hasRole(\"Bcat_Moderator\") || hasRole(\"Ccat_Moderator\") || hasRole(\"Dcat_Moderator\") || hasRole(\"Ecat_Moderator\") || hasRole(\"Fcat_Moderator\") || hasRole(\"Gcat_Moderator\") || hasRole(\"Hcat_Moderator\") || hasRole(\"Icat_Moderator\") || hasRole(\"Jcat_Moderator\") || hasRole(\"Kcat_Admin\") || hasRole(\"Lcat_Admin\") || hasRole(\"Mcat_Admin\") || hasRole(\"Ncat_Admin\") || hasRole(\"Ocat_Admin\") || hasRole(\"Pcat_Admin\") || hasRole(\"Qcat_Admin\") || hasRole(\"Rcat_Admin\") || hasRole(\"Scat_Admin\") || hasRole(\"Tcat_Admin\") || hasRole(\"Ucat_Admin\") || hasRole(\"Vcat_Admin\") || hasRole(\"Wcat_Admin\") || hasRole(\"Xcat_Admin\") || hasRole(\"Ycat_Admin\") || hasRole(\"Zcat_Admin\") || hasRole(\"Dcat_Moderator\") || hasRole(\"Ccat_Moderator\") || hasRole(\"Bcat_Moderator\") || hasRole(\"Ecat_Moderator\")','Community Manager',1,'009966','/i/rank_icons/admin.gif','','','','',7,0,'2016-10-25 00:16:34'), (2,1,'Moderator',-1,0,0,0,0,0,0,0,0,'','Moderator',1,'009966','/i/rank_icons/moderator.gif','','','','',7,0,'2016-07-07 01:48:03'), (3,2,'Member',-1,0,0,0,0,0,0,0,0,'hasRole(\"Member\") || hasRole(\"Acat_Member\") || hasRole(\"Bcat_Member\") || hasRole(\"Ccat_Member\") || hasRole(\"Dcat_Member\") || hasRole(\"Ecat_Member\") || hasRole(\"Fcat_Member\") || hasRole(\"Gcat_Member\") || hasRole(\"Hcat_Member\") || hasRole(\"Icat_Member\") || hasRole(\"Jcat_Member\") || hasRole(\"Kcat_Member\") || hasRole(\"Lcat_Member\") || hasRole(\"Mcat_Member\") || hasRole(\"Ncat_Member\") || hasRole(\"Ocat_Member\") || hasRole(\"Pcat_Member\") || hasRole(\"Qcat_Member\") || hasRole(\"Rcat_Member\") || hasRole(\"Scat_Member\") || hasRole(\"Tcat_Member\") || hasRole(\"Ucat_Member\") || hasRole(\"Vcat_Member\") || hasRole(\"Wcat_Member\") || hasRole(\"Xcat_Member\") || hasRole(\"Ycat_Member\") || hasRole(\"Zcat_Member\")','Member',0,'666666','','','','','',-1,0,'2016-09-27 07:37:42'),(4,3,'Client',-1,0,0,0,0,0,0,0,1,'hasRole(\"Client\") || hasRole(\"Acat_Client\") || hasRole(\"Bcat_Client\") || hasRole(\"Ccat_Client\") || hasRole(\"Dcat_Client\") || hasRole(\"Ecat_Client\") || hasRole(\"Fcat_Client\") || hasRole(\"Gcat_Client\") || hasRole(\"Hcat_Client\") || hasRole(\"Icat_Client\") || hasRole(\"Jcat_Client\") || hasRole(\"Kcat_Client\") || hasRole(\"Lcat_Client\") || hasRole(\"Mcat_Client\") || hasRole(\"Ncat_Client\") || hasRole(\"Ocat_Client\") || hasRole(\"Pcat_Client\") || hasRole(\"Qcat_Client\") || hasRole(\"Rcat_Client\") || hasRole(\"Scat_Client\") || hasRole(\"Tcat_Client\") || hasRole(\"Ucat_Client\") || hasRole(\"Vcat_Client\") || hasRole(\"Wcat_Client\") || hasRole(\"Xcat_Client\") || hasRole(\"Ycat_Client\") || hasRole(\"Zcat_Client\")','VIP',1,'000000','/html/rank_icons/VIP.png','','','','',3,0,'2016-09-27 07:33:14'),(5,4,'Administrator',-1,0,0,0,0,0,0,0,1,'(overall_posts >= 805) && (minutes_online >= 6125) && (net_kudos_weight_received >= 1225) && (net_kudos_weight_given >= 350) && hasRole(\"Administrator\")','Super Star',1,'fd4403','/html/rank_icons/rank_superstar.png','','','','',3,0,'2016-07-07 01:48:03'),(6,5,'Administrator',-1,0,0,0,0,0,0,0,1,'(overall_posts >= 630) && (minutes_online >= 4775) && (net_kudos_weight_received >= 1000) && (net_kudos_weight_given >= 240) && hasRole(\"Administrator\")','Rising Star',1,'fb8717','/html/rank_icons/rank_risingstar.png','','','','',3,0,'2016-07-07 01:48:03'),(7,6,'',-1,0,0,0,0,0,0,0,1,'(overall_posts >= 480) && (minutes_online >= 3650) && (net_kudos_weight_received >= 800) && (net_kudos_weight_given >= 160)','Star',1,'fcb223','/html/rank_icons/rank_star.png','','','','',3,0,'2016-07-07 01:48:03'), (8,7,'',-1,0,0,0,0,0,0,0,1,'(overall_posts >= 355) && (minutes_online >= 2750) && (net_kudos_weight_received >= 625) && (net_kudos_weight_given >= 100)','Honored Member',1,'663399','/html/rank_icons/rank_honoredmember.gif','','','','',2,1,'2016-07-25 19:20:02'), (9,8,'',-1,0,0,0,0,0,0,0,1,'(overall_posts >= 280) && (minutes_online >= 2050) && (net_kudos_weight_received >= 475) && (net_kudos_weight_given >= 60)','Esteemed Member',1,'9933CC','/html/rank_icons/rank_esteemedmember.gif','','','','',2,1,'2016-07-25 19:19:43'),(10,9,'',-1,0,0,0,0,0,0,0,1,'(overall_posts >= 215) && (minutes_online >= 1375) && (net_kudos_weight_received >= 350) && (net_kudos_weight_given >= 30)','Respected Member',1,'CC00CC','/html/rank_icons/rank_respectedmember.gif','','','','',2,1,'2016-07-25 19:19:27'),(11,10,'',-1,0,0,0,0,0,0,0,1,'(overall_posts >= 150) && (minutes_online >= 775) && (net_kudos_weight_received >= 250) && (net_kudos_weight_given >= 5)','Trusted Member',1,'FF66CC','/html/rank_icons/rank_trustedmember.gif','','','','',2,1,'2016-07-25 19:19:12'),(12,11,'',-1,0,0,0,0,0,0,0,1,'(overall_posts >= 90) && (logins >= 10) && (minutes_online >= 225)','Super Contributor',0,'0f68d6','/html/rank_icons/rank_supercontributor.png','','','','',1,1,'2016-07-25 19:18:52'),(13,12,'',-1,0,0,0,0,0,0,0,1,'(overall_posts >= 45) && (logins >= 7) && (minutes_online >= 135)','Regular Contributor',0,'02b1cb','/html/rank_icons/rank_Regularcontributor.png','','','','',1,1,'2016-07-25 19:18:43'),(14,13,'',-1,0,0,0,0,0,0,0,1,'(overall_posts >= 10) && (logins >= 5) && (minutes_online >= 75) && (net_kudos_weight_received >= 15)','Liked Contributor',0,'02cb28','/html/rank_icons/rank_kudoedcontributor.png','','','','',1,1,'2016-07-25 19:18:07'),(15,14,'',-1,0,0,0,0,0,0,0,1,'(overall_posts >= 10) && (logins >= 5) && (minutes_online >= 75)','Frequent Contributor',0,'66CC00','','','','','',1,1,'2016-07-25 19:17:44'),(16,15,'',-1,0,0,0,0,0,0,0,1,'(overall_posts >= 4) && (logins >= 2) && (minutes_online >= 20)','Occasional Contributor',0,'000099','','','','','',1,1,'2016-07-25 19:17:29'), (17,16,'',-1,0,0,0,0,0,0,0,1,'(overall_posts >= 1)','New Contributor',0,'3399FF','','','','','',1,1,'2016-07-25 19:17:18'),(18,17,'',-1,0,0,0,0,0,0,0,1,'(logins >= 8)','Regular Visitor',0,'000000','','','','','',-1,1,'2016-07-25 19:17:05'), (19,18,'',-1,0,0,0,0,0,0,0,1,'(logins >= 6)','Frequent Visitor',0,'000000','','','','','',-1,1,'2016-07-25 19:16:54'),(20,7,'',-1,0,0,0,0,0,0,0,1,'(logins >= 4)','Visitor',0,'666666','','','','','',-1,0,'2016-07-25 19:20:02'), (21,8,'',-1,0,0,0,0,0,0,0,0,'','New Member',0,'666666','','','','','',-1,0,'2016-07-25 19:20:02'),(22,21,'Staff',-1,0,0,0,0,0,0,0,0,'','Staff',0,'0000CC','','','','','',-1,1,'2016-07-25 19:16:33'),(23,22,'',-1,8000,0,0,0,0,300000,0,1,'(((posts - deleted_posts) + net_idea_threads) >= 8000) && (registrationAge >= 300000) && ((net_kudos_weight_received +(net_accepted_solutions*10)) >= 1500)','Honored Contributor',1,'660099','','','','','',-1,1,'2016-07-25 19:16:17'),(24,23,'',-1,5000,0,0,0,0,250000,0,1,'(((posts - deleted_posts) + net_idea_threads) >= 5000) && (registrationAge >= 250000) && ((net_kudos_weight_received + (net_accepted_solutions*10)) >= 800)','Esteemed Contributor',1,'660099','','','','','',-1,1,'2016-07-25 19:16:06'),(25,24,'',-1,2000,0,0,0,0,200000,0,1,'(((posts - deleted_posts) + net_idea_threads) >= 2000) && (registrationAge >= 200000) && ((net_kudos_weight_received + (net_accepted_solutions*10)) >= 400)','Respected Contributor',1,'660099','','','','','',-1,1,'2016-07-25 19:15:55'),(26,25,'',-1,1000,0,0,0,0,165000,0,1,'(((posts - deleted_posts) + net_idea_threads) >= 1000) && (registrationAge >= 165000) && ((net_kudos_weight_received + (net_accepted_solutions*10)) >= 200)','Trusted Contributor',1,'660099','','','','','',-1,1,'2016-07-25 19:15:35'),(27,26,'',-1,500,0,0,0,0,125000,0,1,'(((posts - deleted_posts) + net_idea_threads) >= 500) && (registrationAge >= 125000) && ((net_kudos_weight_received + (net_accepted_solutions*10)) >= 75)','Valued Contributor',1,'660099','','','','','',-1,1,'2016-07-25 19:15:21'),(28,27,'',-1,20,0,0,0,0,10080,0,0,'','Contributor',0,'3300CC','','','','','',-1,1,'2016-07-25 19:15:09'),(29,28,'',-1,0,0,18,0,0,129600,0,1,'(logins >=18) && (registrationAge >= 43200) && (message_views >= 70)','Senior Member',0,'000000','','','','','',-1,1,'2016-07-25 19:14:55'),(30,29,'',-1,0,0,16,0,0,86400,0,1,'(logins >=16) && (registrationAge >= 43200) && (message_views >= 50)','Established Member',0,'000000','','','','','',-1,1,'2016-07-25 19:14:46'),(31,30,'',-1,0,0,2,0,0,2880,0,0,'','Occasional Visitor',0,'000000','','','','','',-1,1,'2016-07-25 19:14:28');
Step 3. Execute the queries order by the column sort_order which is not unique
mysql# SELECT id, rank_name ,sort_order FROM user_rankings where sort_order in (7,8) ORDER BY sort_order;
+----+-----------------+------------+
| id | rank_name | sort_order |
+----+-----------------+------------+
| 8 | Honored Member | 7 |
| 20 | Visitor | 7 |
| 9 | Esteemed Member | 8 |
| 21 | New Member | 8 |
+----+-----------------+------------+
4 rows in set (0.00 sec)
mysql# select id,rank_name,sort_order from user_rankings order by sort_order;
+----+------------------------+------------+
| id | rank_name | sort_order |
+----+------------------------+------------+
| 1 | Community Manager | 0 |
| 2 | Moderator | 1 |
| 3 | Member | 2 |
| 4 | VIP | 3 |
| 5 | Super Star | 4 |
| 6 | Rising Star | 5 |
| 7 | Star | 6 |
| 20 | Visitor | 7 |
| 8 | Honored Member | 7 |
| 21 | New Member | 8 |
| 9 | Esteemed Member | 8 |
| 10 | Respected Member | 9 |
| 11 | Trusted Member | 10 |
| 12 | Super Contributor | 11 |
| 13 | Regular Contributor | 12 |
| 14 | Liked Contributor | 13 |
| 15 | Frequent Contributor | 14 |
| 16 | Occasional Contributor | 15 |
| 17 | New Contributor | 16 |
| 18 | Regular Visitor | 17 |
| 19 | Frequent Visitor | 18 |
| 22 | Staff | 21 |
| 23 | Honored Contributor | 22 |
| 24 | Esteemed Contributor | 23 |
| 25 | Respected Contributor | 24 |
| 26 | Trusted Contributor | 25 |
| 27 | Valued Contributor | 26 |
| 28 | Contributor | 27 |
| 29 | Senior Member | 28 |
| 30 | Established Member | 29 |
| 31 | Occasional Visitor | 30 |
+----+------------------------+------------+
31 rows in set (0.00 sec)
mysql# select * from user_rankings order by sort_order;
+----+------------+---------------------------+----------------+--------------+------------------+---------------+-----------------------+------------------------+------------------+-------------+----------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------+-----------+------------+----------------------------------------------+-----------------+------------------+-------------+--------------+--------------+---------+---------------------+
| id | sort_order | equals_role | equals_user_id | metric_posts | metric_pageviews | metric_logins | metric_minutes_online | average_message_rating | registration_age | metric_tags | rank_formula_enabled | rank_formula | rank_name | rank_bold | rank_color | rank_icon | rank_icon_right | rank_icon_thread | grant_roles | remove_roles | kudos_weight | deleted | row_version |
+----+------------+---------------------------+----------------+--------------+------------------+---------------+-----------------------+------------------------+------------------+-------------+----------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------+-----------+------------+----------------------------------------------+-----------------+------------------+-------------+--------------+--------------+---------+---------------------+
| 1 | 0 | Administrator,Ipsos Admin | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | hasRole("Administrator") || hasRole("Ipsos Admin") || hasRole("Acat_Moderator") || hasRole("Bcat_Moderator") || hasRole("Ccat_Moderator") || hasRole("Dcat_Moderator") || hasRole("Ecat_Moderator") || hasRole("Fcat_Moderator") || hasRole("Gcat_Moderator") || hasRole("Hcat_Moderator") || hasRole("Icat_Moderator") || hasRole("Jcat_Moderator") || hasRole("Kcat_Admin") || hasRole("Lcat_Admin") || hasRole("Mcat_Admin") || hasRole("Ncat_Admin") || hasRole("Ocat_Admin") || hasRole("Pcat_Admin") || hasRole("Qcat_Admin") || hasRole("Rcat_Admin") || hasRole("Scat_Admin") || hasRole("Tcat_Admin") || hasRole("Ucat_Admin") || hasRole("Vcat_Admin") || hasRole("Wcat_Admin") || hasRole("Xcat_Admin") || hasRole("Ycat_Admin") || hasRole("Zcat_Admin") || hasRole("Dcat_Moderator") || hasRole("Ccat_Moderator") || hasRole("Bcat_Moderator") || hasRole("Ecat_Moderator") | Community Manager | 1 | 009966 | /i/rank_icons/admin.gif | | | | | 7 | 0 | 2016-10-24 17:16:34 |
| 2 | 1 | Moderator | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | | Moderator | 1 | 009966 | /i/rank_icons/moderator.gif | | | | | 7 | 0 | 2016-07-06 18:48:03 |
| 3 | 2 | Member | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | hasRole("Member") || hasRole("Acat_Member") || hasRole("Bcat_Member") || hasRole("Ccat_Member") || hasRole("Dcat_Member") || hasRole("Ecat_Member") || hasRole("Fcat_Member") || hasRole("Gcat_Member") || hasRole("Hcat_Member") || hasRole("Icat_Member") || hasRole("Jcat_Member") || hasRole("Kcat_Member") || hasRole("Lcat_Member") || hasRole("Mcat_Member") || hasRole("Ncat_Member") || hasRole("Ocat_Member") || hasRole("Pcat_Member") || hasRole("Qcat_Member") || hasRole("Rcat_Member") || hasRole("Scat_Member") || hasRole("Tcat_Member") || hasRole("Ucat_Member") || hasRole("Vcat_Member") || hasRole("Wcat_Member") || hasRole("Xcat_Member") || hasRole("Ycat_Member") || hasRole("Zcat_Member") | Member | 0 | 666666 | | | | | | -1 | 0 | 2016-09-27 00:37:42 |
| 4 | 3 | Client | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | hasRole("Client") || hasRole("Acat_Client") || hasRole("Bcat_Client") || hasRole("Ccat_Client") || hasRole("Dcat_Client") || hasRole("Ecat_Client") || hasRole("Fcat_Client") || hasRole("Gcat_Client") || hasRole("Hcat_Client") || hasRole("Icat_Client") || hasRole("Jcat_Client") || hasRole("Kcat_Client") || hasRole("Lcat_Client") || hasRole("Mcat_Client") || hasRole("Ncat_Client") || hasRole("Ocat_Client") || hasRole("Pcat_Client") || hasRole("Qcat_Client") || hasRole("Rcat_Client") || hasRole("Scat_Client") || hasRole("Tcat_Client") || hasRole("Ucat_Client") || hasRole("Vcat_Client") || hasRole("Wcat_Client") || hasRole("Xcat_Client") || hasRole("Ycat_Client") || hasRole("Zcat_Client") | VIP | 1 | 000000 | /html/rank_icons/VIP.png | | | | | 3 | 0 | 2016-09-27 00:33:14 |
| 5 | 4 | Administrator | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 805) && (minutes_online >= 6125) && (net_kudos_weight_received >= 1225) && (net_kudos_weight_given >= 350) && hasRole("Administrator") | Super Star | 1 | fd4403 | /html/rank_icons/rank_superstar.png | | | | | 3 | 0 | 2016-07-06 18:48:03 |
| 6 | 5 | Administrator | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 630) && (minutes_online >= 4775) && (net_kudos_weight_received >= 1000) && (net_kudos_weight_given >= 240) && hasRole("Administrator") | Rising Star | 1 | fb8717 | /html/rank_icons/rank_risingstar.png | | | | | 3 | 0 | 2016-07-06 18:48:03 |
| 7 | 6 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 480) && (minutes_online >= 3650) && (net_kudos_weight_received >= 800) && (net_kudos_weight_given >= 160) | Star | 1 | fcb223 | /html/rank_icons/rank_star.png | | | | | 3 | 0 | 2016-07-06 18:48:03 |
| 8 | 7 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 355) && (minutes_online >= 2750) && (net_kudos_weight_received >= 625) && (net_kudos_weight_given >= 100) | Honored Member | 1 | 663399 | /html/rank_icons/rank_honoredmember.gif | | | | | 2 | 1 | 2016-07-25 12:20:02 |
| 20 | 7 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (logins >= 4) | Visitor | 0 | 666666 | | | | | | -1 | 0 | 2016-07-25 12:20:02 |
| 9 | 8 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 280) && (minutes_online >= 2050) && (net_kudos_weight_received >= 475) && (net_kudos_weight_given >= 60) | Esteemed Member | 1 | 9933CC | /html/rank_icons/rank_esteemedmember.gif | | | | | 2 | 1 | 2016-07-25 12:19:43 |
| 21 | 8 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | | New Member | 0 | 666666 | | | | | | -1 | 0 | 2016-07-25 12:20:02 |
| 10 | 9 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 215) && (minutes_online >= 1375) && (net_kudos_weight_received >= 350) && (net_kudos_weight_given >= 30) | Respected Member | 1 | CC00CC | /html/rank_icons/rank_respectedmember.gif | | | | | 2 | 1 | 2016-07-25 12:19:27 |
| 11 | 10 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 150) && (minutes_online >= 775) && (net_kudos_weight_received >= 250) && (net_kudos_weight_given >= 5) | Trusted Member | 1 | FF66CC | /html/rank_icons/rank_trustedmember.gif | | | | | 2 | 1 | 2016-07-25 12:19:12 |
| 12 | 11 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 90) && (logins >= 10) && (minutes_online >= 225) | Super Contributor | 0 | 0f68d6 | /html/rank_icons/rank_supercontributor.png | | | | | 1 | 1 | 2016-07-25 12:18:52 |
| 13 | 12 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 45) && (logins >= 7) && (minutes_online >= 135) | Regular Contributor | 0 | 02b1cb | /html/rank_icons/rank_Regularcontributor.png | | | | | 1 | 1 | 2016-07-25 12:18:43 |
| 14 | 13 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 10) && (logins >= 5) && (minutes_online >= 75) && (net_kudos_weight_received >= 15) | Liked Contributor | 0 | 02cb28 | /html/rank_icons/rank_kudoedcontributor.png | | | | | 1 | 1 | 2016-07-25 12:18:07 |
| 15 | 14 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 10) && (logins >= 5) && (minutes_online >= 75) | Frequent Contributor | 0 | 66CC00 | | | | | | 1 | 1 | 2016-07-25 12:17:44 |
| 16 | 15 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 4) && (logins >= 2) && (minutes_online >= 20) | Occasional Contributor | 0 | 000099 | | | | | | 1 | 1 | 2016-07-25 12:17:29 |
| 17 | 16 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 1) | New Contributor | 0 | 3399FF | | | | | | 1 | 1 | 2016-07-25 12:17:18 |
| 18 | 17 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (logins >= 8) | Regular Visitor | 0 | 000000 | | | | | | -1 | 1 | 2016-07-25 12:17:05 |
| 19 | 18 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (logins >= 6) | Frequent Visitor | 0 | 000000 | | | | | | -1 | 1 | 2016-07-25 12:16:54 |
| 22 | 21 | Staff | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | | Staff | 0 | 0000CC | | | | | | -1 | 1 | 2016-07-25 12:16:33 |
| 23 | 22 | | -1 | 8000 | 0 | 0 | 0 | 0 | 300000 | 0 | 1 | (((posts - deleted_posts) + net_idea_threads) >= 8000) && (registrationAge >= 300000) && ((net_kudos_weight_received +(net_accepted_solutions*10)) >= 1500) | Honored Contributor | 1 | 660099 | | | | | | -1 | 1 | 2016-07-25 12:16:17 |
| 24 | 23 | | -1 | 5000 | 0 | 0 | 0 | 0 | 250000 | 0 | 1 | (((posts - deleted_posts) + net_idea_threads) >= 5000) && (registrationAge >= 250000) && ((net_kudos_weight_received + (net_accepted_solutions*10)) >= 800) | Esteemed Contributor | 1 | 660099 | | | | | | -1 | 1 | 2016-07-25 12:16:06 |
| 25 | 24 | | -1 | 2000 | 0 | 0 | 0 | 0 | 200000 | 0 | 1 | (((posts - deleted_posts) + net_idea_threads) >= 2000) && (registrationAge >= 200000) && ((net_kudos_weight_received + (net_accepted_solutions*10)) >= 400) | Respected Contributor | 1 | 660099 | | | | | | -1 | 1 | 2016-07-25 12:15:55 |
| 26 | 25 | | -1 | 1000 | 0 | 0 | 0 | 0 | 165000 | 0 | 1 | (((posts - deleted_posts) + net_idea_threads) >= 1000) && (registrationAge >= 165000) && ((net_kudos_weight_received + (net_accepted_solutions*10)) >= 200) | Trusted Contributor | 1 | 660099 | | | | | | -1 | 1 | 2016-07-25 12:15:35 |
| 27 | 26 | | -1 | 500 | 0 | 0 | 0 | 0 | 125000 | 0 | 1 | (((posts - deleted_posts) + net_idea_threads) >= 500) && (registrationAge >= 125000) && ((net_kudos_weight_received + (net_accepted_solutions*10)) >= 75) | Valued Contributor | 1 | 660099 | | | | | | -1 | 1 | 2016-07-25 12:15:21 |
| 28 | 27 | | -1 | 20 | 0 | 0 | 0 | 0 | 10080 | 0 | 0 | | Contributor | 0 | 3300CC | | | | | | -1 | 1 | 2016-07-25 12:15:09 |
| 29 | 28 | | -1 | 0 | 0 | 18 | 0 | 0 | 129600 | 0 | 1 | (logins >=18) && (registrationAge >= 43200) && (message_views >= 70) | Senior Member | 0 | 000000 | | | | | | -1 | 1 | 2016-07-25 12:14:55 |
| 30 | 29 | | -1 | 0 | 0 | 16 | 0 | 0 | 86400 | 0 | 1 | (logins >=16) && (registrationAge >= 43200) && (message_views >= 50) | Established Member | 0 | 000000 | | | | | | -1 | 1 | 2016-07-25 12:14:46 |
| 31 | 30 | | -1 | 0 | 0 | 2 | 0 | 0 | 2880 | 0 | 0 | | Occasional Visitor | 0 | 000000 | | | | | | -1 | 1 | 2016-07-25 12:14:28 |
+----+------------+---------------------------+----------------+--------------+------------------+---------------+-----------------------+------------------------+------------------+-------------+----------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------+-----------+------------+----------------------------------------------+-----------------+------------------+-------------+--------------+--------------+---------+---------------------+
31 rows in set (0.00 sec)
Step 4. After deleting a few rows of the table, executed the queries again
mysql# delete from user_rankings where id>21;
Query OK, 10 rows affected (0.01 sec)
mysql# select id,rank_name,sort_order from user_rankings order by sort_order;
+----+------------------------+------------+
| id | rank_name | sort_order |
+----+------------------------+------------+
| 1 | Community Manager | 0 |
| 2 | Moderator | 1 |
| 3 | Member | 2 |
| 4 | VIP | 3 |
| 5 | Super Star | 4 |
| 6 | Rising Star | 5 |
| 7 | Star | 6 |
| 8 | Honored Member | 7 |
| 20 | Visitor | 7 |
| 21 | New Member | 8 |
| 9 | Esteemed Member | 8 |
| 10 | Respected Member | 9 |
| 11 | Trusted Member | 10 |
| 12 | Super Contributor | 11 |
| 13 | Regular Contributor | 12 |
| 14 | Liked Contributor | 13 |
| 15 | Frequent Contributor | 14 |
| 16 | Occasional Contributor | 15 |
| 17 | New Contributor | 16 |
| 18 | Regular Visitor | 17 |
| 19 | Frequent Visitor | 18 |
+----+------------------------+------------+
21 rows in set (0.00 sec)
mysql# delete from user_rankings where sort_order>9;
Query OK, 9 rows affected (0.04 sec)
mysql# select id,rank_name,sort_order from user_rankings order by sort_order;
+----+-------------------+------------+
| id | rank_name | sort_order |
+----+-------------------+------------+
| 1 | Community Manager | 0 |
| 2 | Moderator | 1 |
| 3 | Member | 2 |
| 4 | VIP | 3 |
| 5 | Super Star | 4 |
| 6 | Rising Star | 5 |
| 7 | Star | 6 |
| 8 | Honored Member | 7 |
| 20 | Visitor | 7 |
| 9 | Esteemed Member | 8 |
| 21 | New Member | 8 |
| 10 | Respected Member | 9 |
+----+-------------------+------------+
12 rows in set (0.00 sec)
Step 5. On MySQL 5.7.17, returned the results in unexpected order differently
mysql# SELECT id,rank_name,sort_order FROM user_rankings where sort_order in('7','8') ORDER BY sort_order;
+----+-----------------+------------+
| id | rank_name | sort_order |
+----+-----------------+------------+
| 8 | Honored Member | 7 |
| 20 | Visitor | 7 |
| 9 | Esteemed Member | 8 |
| 21 | New Member | 8 |
+----+-----------------+------------+
4 rows in set (0.00 sec)
mysql# select * from user_rankings ORDER BY sort_order;
...
| 8 | 7 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 355) && (minutes_online >= 2750) && (net_kudos_weight_received >= 625) && (net_kudos_weight_given >= 100) | Honored Member | 1 | 663399 | /html/rank_icons/rank_honoredmember.gif | | | | | 2 | 1 | 2016-07-25 12:20:02 |
| 20 | 7 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (logins >= 4) | Visitor | 0 | 666666 | | | | | | -1 | 0 | 2016-07-25 12:20:02 |
| 9 | 8 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | (overall_posts >= 280) && (minutes_online >= 2050) && (net_kudos_weight_received >= 475) && (net_kudos_weight_given >= 60) | Esteemed Member | 1 | 9933CC | /html/rank_icons/rank_esteemedmember.gif | | | | | 2 | 1 | 2016-07-25 12:19:43 |
| 21 | 8 | | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | | New Member | 0 | 666666 | | | | | | -1 | 0 | 2016-07-25 12:20:02 |
...
31 rows in set (0.03 sec)
mysql# SELECT id,rank_name,sort_order FROM user_rankings ORDER BY sort_order;
...
| 20 | Visitor | 7 |
| 8 | Honored Member | 7 |
| 9 | Esteemed Member | 8 |
| 21 | New Member | 8 |
...
31 rows in set (0.03 sec)
mysql# delete from user_rankings where id>21;
Query OK, 10 rows affected (0.18 sec)
mysql# SELECT id,rank_name,sort_order FROM user_rankings ORDER BY sort_order;
...
| 8 | Honored Member | 7 |
| 20 | Visitor | 7 |
| 21 | New Member | 8 |
| 9 | Esteemed Member | 8 |
...
21 rows in set (0.00 sec)
mysql# delete from user_rankings where sort_order>9;
Query OK, 9 rows affected (0.05 sec)
mysql# SELECT id,rank_name,sort_order FROM user_rankings ORDER BY sort_order;
...
| 8 | Honored Member | 7 |
| 20 | Visitor | 7 |
| 9 | Esteemed Member | 8 |
| 21 | New Member | 8 |
...
12 rows in set (0.00 sec)
Some relevant variables:
mysql# show variables like '%sort%';
+--------------------------------+---------------------+
| Variable_name | Value |
+--------------------------------+---------------------+
| innodb_disable_sort_file_cache | OFF |
| innodb_ft_sort_pll_degree | 2 |
| innodb_sort_buffer_size | 1048576 |
| max_length_for_sort_data | 1024 |
| max_sort_length | 1024 |
| myisam_max_sort_file_size | 9223372036853727232 |
| myisam_sort_buffer_size | 8388608 |
| sort_buffer_size | 262144 |
+--------------------------------+---------------------+
8 rows in set (0.00 sec)
Please note, there are 4 tuples out of 31 rows with a duplicated sort_order value:
- two having sort_order=7
- the other two having sort_order=8
In step 3, the query with WHERE sort_order in (7,8) ORDER BY sort_order returned tuples in the ‘correct’ order:
- the row with id=8 in front of the row with id=20
- the row with id=9 in front of the row with id=21
When the query selected all of the columns and all the tuples with ORDER BY sort_order, it returned in the ‘correct’ order again:
- the row with id=8 in front of the row with id=20
- the row with id=9 in front of the row with id=21
But when the query selected part of the columns and all the tuples with ORDER BY sort_order, it returned in the ‘wrong’ order:
- the row with id=20 in front of the row with id=8
- the row with id=21 in front of the row with id=9
Additionally, in step 4 after deleting the last 10 rows with id>21, we can see half of the 4 tuples returned in ‘correct’ order:
- the row with id=8 in front of the row with id=20
The other half still returned in ‘wrong’ order:
- the row with id=21 in front of the row with id=9
After deleting 9 more rows with sort_order>9, now we can see all the 4 tuples returned in the ‘correct’ order:
- the row with id=8 in front of the row with id=20
- the row with id=9 in front of the row with id=21
When I applied the same table with the same data on MySQL 5.7.17, it behaved differently as below:
When the query selected part of the columns and all the tuples with ORDER BY sort_order, the tuples with sort_order=7 returned in ‘wrong’ order:
- the row with id=20 in front of the row with id=8
The tuples with sort_order=8 returned in ‘correct’ order:
- the row with id=9 in front of the row with id=21
After deleting the last 10 rows with id>21, we can see the situation reversed:
The tuples with sort_order=7 returned in ‘correct’ order:
- the row with id=8 in front of the row with id=20
The tuples with sort_order=8 returned in ‘wrong’ order:
- the row with id=21 in front of the row with id=9
After deleting 9 more rows with sort_order>9, now we can see all the 4 tuples returned in ‘correct’ order:
- the row with id=8 in front of the row with id=20
- the row with id=9 in front of the row with id=21
How did this happen?
Without diving into the code deeply, I will explain by highlighting the documentation for MySQL 5.7 ORDER BY optimization.
Citing the key sections below:
“MySQL has two filesort algorithms for sorting and retrieving results. The original method uses only the ORDER BY columns. The modified method uses not just the ORDER BY columns, but all the columns referenced by the query.”
“... the optimizer uses the modified algorithm only if the total size of the extra columns in the sort tuple does not exceed the value of the max_length_for_sort_data system variable.”
“The modified filesort algorithm incorporates an optimization to avoid reading the rows twice: It records the sort key value, but instead of the row ID, it records the columns referenced by the query” “...When the sort buffer becomes full, sort the tuples by sort key value in memory and write it to a temporary file.”
Here is the explanation
Let's take a look at the filesort_summary for each query that the optimizer follows:
When the query select all the columns, because the tuple in the example table is over the max_length_for_sort_data which is set to 1024, it selected the original filesort method and so the results were returned in ‘correct’ order based on rowId:
"filesort_summary": {
"rows": 31,
"examined_rows": 31,
"number_of_tmp_files": 0,
"sort_buffer_size": 6096,
"sort_mode": "sort_key, rowid"
}
When the query selected part of the columns, because the total size of the extra columns is lower than the max_length_for_sort_data (which is set to 1024 by default), MySQL used the modified file sort algorithm. Since it sorted the tuples by sort key value (the order by column sort_order), which has duplicated values, the algorithm may return the rows in random order. In some circumstances, MySQL may return the results in the ‘wrong’ order, while in others, MySQL may return the results in the ‘correct’ order.
"filesort_summary": {
"rows": 31,
"examined_rows": 31,
"number_of_tmp_files": 0,
"sort_buffer_size": 99822,
"sort_mode": "sort_key, additional_fields"
}
When our example query has a WHERE clause, so that there are only a few rows being sorted, in the case that most likely the results were returned in ‘correct’ order.
#
"filesort_summary": {
"rows": 4,
"examined_rows": 31,
"number_of_tmp_files": 0,
"sort_buffer_size": 99822,
"sort_mode": "sort_key, additional_fields"
}
After deleting most of the rows, there are only a few rows being sorted, in the case that most likely the results were returned in ‘correct’ order.
"filesort_summary": {
"rows": 12,
"examined_rows": 12,
"number_of_tmp_files": 0,
"sort_buffer_size": 99822,
"sort_mode": "sort_key, additional_fields"
}
It is true that since multiple rows have identical values in the ORDER BY column, the server is free to return those rows in any order. In other words, the sort order of those rows is non-deterministic due to the non-unique order by column.
Bearing this in mind, if you use LIMIT N, M following with ORDER BY non-unique column, you may get unexpected results based on different circumstances such as sort buffer related variables, the data size of each tuple, number of rows returned, data size returned etc. All of these factors might affect the choice of the file sort algorithm or even differences inside the algorithm itself. See this bug for more information: https://bugs.mysql.com/bug.php?id=72076
But why did MySQL 5.7 return the results in the order differently? Again, the relevant documentation hints at this:
“As of MySQL 5.7.3, the modified filesort algorithm includes an additional optimization designed to enable more tuples to fit into the sort buffer...”
And here is the optimizer filesort_summary on the query returning the results in the order differently:
# "filesort_summary": {
"rows": 31,
"examined_rows": 31,
"number_of_tmp_files": 0,
"sort_buffer_size": 100208,
"sort_mode": "sort_key, packed_additional_fields"
}
Conclusion
For MySQL, results may be returned in a non-deterministic order with 'ORDER BY' on a non-unique column. The only reliable way to get the expected order of your results is to explicitly define your query's ORDER BY clause to handle potential duplicate tuples. Then test it.
In the end, ordering by unique columns will always return results in deterministic order.
Pythian offers end-to-end MySQL Services from planning and Implementation to ongoing operational support. Contact us to learn more.
Share this
- Technical Track (969)
- Oracle (400)
- MySQL (137)
- Cloud (131)
- Open Source (90)
- Google Cloud (83)
- DBA Lounge (76)
- Microsoft SQL Server (76)
- Technical Blog (74)
- Big Data (52)
- AWS (49)
- Google Cloud Platform (47)
- Cassandra (44)
- DevOps (41)
- Azure (38)
- Pythian (33)
- Linux (30)
- Database (26)
- Podcasts (25)
- Site Reliability Engineering (25)
- Performance (24)
- SQL Server (24)
- Microsoft Azure (23)
- Oracle E-Business Suite (23)
- PostgreSQL (23)
- Oracle Database (22)
- Docker (21)
- Group Blog Posts (20)
- Security (20)
- DBA (19)
- Log Buffer (19)
- SQL (19)
- Exadata (18)
- Mongodb (18)
- Oracle Cloud Infrastructure (OCI) (18)
- Oracle Exadata (18)
- Automation (17)
- Hadoop (16)
- Oracleebs (16)
- Amazon RDS (15)
- Ansible (15)
- Ebs (15)
- Snowflake (15)
- ASM (13)
- BigQuery (13)
- Patching (13)
- RDS (13)
- Replication (13)
- Data (12)
- GenAI (12)
- Kubernetes (12)
- Oracle 12C (12)
- Advanced Analytics (11)
- Backup (11)
- LLM (11)
- Machine Learning (11)
- OCI (11)
- Rman (11)
- Cloud Migration (10)
- Datascape Podcast (10)
- Monitoring (10)
- R12 (10)
- 12C (9)
- AI (9)
- Apache Cassandra (9)
- Data Guard (9)
- Infrastructure (9)
- Oracle 19C (9)
- Oracle Applications (9)
- Python (9)
- Series (9)
- AWR (8)
- Amazon Web Services (AWS) (8)
- Articles (8)
- High Availability (8)
- Oracle EBS (8)
- Percona (8)
- Powershell (8)
- Recovery (8)
- Weblogic (8)
- Apache Beam (7)
- Backups (7)
- Data Governance (7)
- Goldengate (7)
- Innodb (7)
- Migration (7)
- Myrocks (7)
- OEM (7)
- Oracle Enterprise Manager (OEM) (7)
- Performance Tuning (7)
- Authentication (6)
- ChatGPT-4 (6)
- Data Enablement (6)
- Database Performance (6)
- E-Business Suite (6)
- Fmw (6)
- Grafana (6)
- Oracle Enterprise Manager (6)
- Orchestrator (6)
- Postgres (6)
- Rac (6)
- Renew Refresh Republish (6)
- RocksDB (6)
- Serverless (6)
- Upgrade (6)
- 19C (5)
- Azure Data Factory (5)
- Azure Synapse Analytics (5)
- Cpu (5)
- Data Visualization (5)
- Disaster Recovery (5)
- Error (5)
- Generative AI (5)
- Google BigQuery (5)
- Indexes (5)
- Love Letters To Data (5)
- Mariadb (5)
- Microsoft (5)
- Proxysql (5)
- Scala (5)
- Sql Server Administration (5)
- VMware (5)
- Windows (5)
- Xtrabackup (5)
- Airflow (4)
- Analytics (4)
- Apex (4)
- Best Practices (4)
- Centrally Managed Users (4)
- Cli (4)
- Cloud FinOps (4)
- Cloud Spanner (4)
- Cockroachdb (4)
- Configuration Management (4)
- Container (4)
- Data Management (4)
- Data Pipeline (4)
- Data Security (4)
- Data Strategy (4)
- Database Administrator (4)
- Database Management (4)
- Database Migration (4)
- Dataflow (4)
- Dbsat (4)
- Elasticsearch (4)
- Fahd Mirza (4)
- Fusion Middleware (4)
- Google (4)
- Io (4)
- Java (4)
- Kafka (4)
- Middleware (4)
- Mysql 8 (4)
- Network (4)
- Ocidtab (4)
- Opatch (4)
- Oracle Autonomous Database (Adb) (4)
- Oracle Cloud (4)
- Pitr (4)
- Post-Mortem Analysis (4)
- Prometheus (4)
- Redhat (4)
- September 9Th 2015 (4)
- Sql2016 (4)
- Ssl (4)
- Terraform (4)
- Workflow (4)
- 2Fa (3)
- Alwayson (3)
- Amazon Relational Database Service (Rds) (3)
- Apache Kafka (3)
- Apexexport (3)
- Aurora (3)
- Azure Sql Db (3)
- Cdb (3)
- ChatGPT (3)
- Cloud Armor (3)
- Cloud Database (3)
- Cloud Security (3)
- Cluster (3)
- Consul (3)
- Cosmos Db (3)
- Cost Management (3)
- Covid19 (3)
- Crontab (3)
- Data Analytics (3)
- Data Integration (3)
- Database 12C (3)
- Database Monitoring (3)
- Database Troubleshooting (3)
- Database Upgrade (3)
- Databases (3)
- Dataops (3)
- Dbt (3)
- Digital Transformation (3)
- ERP (3)
- Google Chrome (3)
- Google Cloud Sql (3)
- Graphite (3)
- Haproxy (3)
- Heterogeneous Database Migration (3)
- Hugepages (3)
- Inside Pythian (3)
- Installation (3)
- Json (3)
- Keras (3)
- Ldap (3)
- Liquibase (3)
- Love Letter (3)
- Lua (3)
- Mfa (3)
- Multitenant (3)
- Mysql 5.7 (3)
- Mysql Configuration (3)
- Nginx (3)
- Nodetool (3)
- Non-Tech Articles (3)
- Oem 13C (3)
- Oms (3)
- Oracle 18C (3)
- Oracle Data Guard (3)
- Oracle Live Sql (3)
- Oracle Rac (3)
- Patch (3)
- Perl (3)
- Pmm (3)
- Pt-Online-Schema-Change (3)
- Rdbms (3)
- Recommended (3)
- Remote Teams (3)
- Reporting (3)
- Reverse Proxy (3)
- S3 (3)
- Spark (3)
- Sql On The Edge (3)
- Sql Server Configuration (3)
- Sql Server On Linux (3)
- Ssis (3)
- Ssis Catalog (3)
- Stefan Knecht (3)
- Striim (3)
- Sysadmin (3)
- System Versioned (3)
- Systemd (3)
- Temporal Tables (3)
- Tensorflow (3)
- Tools (3)
- Tuning (3)
- Vasu Balla (3)
- Vault (3)
- Vulnerability (3)
- Waf (3)
- 18C (2)
- Adf (2)
- Adop (2)
- Agent (2)
- Agile (2)
- Amazon Data Migration Service (2)
- Amazon Ec2 (2)
- Amazon S3 (2)
- Apache Flink (2)
- Apple (2)
- Apps (2)
- Ashdump (2)
- Atp (2)
- Audit (2)
- Automatic Backups (2)
- Autonomous (2)
- Autoupgrade (2)
- Awr Data Mining (2)
- Azure Sql (2)
- Azure Sql Data Sync (2)
- Bash (2)
- Business (2)
- Business Intelligence (2)
- Caching (2)
- Cassandra Nodetool (2)
- Cdap (2)
- Certification (2)
- Cloning (2)
- Cloud Cost Optimization (2)
- Cloud Data Fusion (2)
- Cloud Hosting (2)
- Cloud Infrastructure (2)
- Cloud Shell (2)
- Cloud Sql (2)
- Cloudscape (2)
- Cluster Level Consistency (2)
- Conferences (2)
- Consul-Template (2)
- Containerization (2)
- Containers (2)
- Cosmosdb (2)
- Costs (2)
- Cql (2)
- Cqlsh (2)
- Cyber Security (2)
- Data Discovery (2)
- Data Migration (2)
- Data Quality (2)
- Data Streaming (2)
- Data Warehouse (2)
- Database Consulting (2)
- Database Migrations (2)
- Dataguard (2)
- Datapump (2)
- Ddl (2)
- Debezium (2)
- Dictionary Views (2)
- Dms (2)
- Docker-Composer (2)
- Dr (2)
- Duplicate (2)
- Ecc (2)
- Elastic (2)
- Elastic Stack (2)
- Em12C (2)
- Encryption (2)
- Enterprise Data Platform (EDP) (2)
- Enterprise Manager (2)
- Etl (2)
- Events (2)
- Exachk (2)
- Filter Driver (2)
- Flume (2)
- Full Text Search (2)
- Galera (2)
- Gemini (2)
- General Purpose Ssd (2)
- Gh-Ost (2)
- Gke (2)
- Google Workspace (2)
- Hanganalyze (2)
- Hdfs (2)
- Health Check (2)
- Historical Trends (2)
- Incremental (2)
- Infiniband (2)
- Infrastructure As Code (2)
- Innodb Cluster (2)
- Innodb File Structure (2)
- Innodb Group Replication (2)
- Install (2)
- Internals (2)
- Java Web Start (2)
- Kibana (2)
- Log (2)
- Log4J (2)
- Logs (2)
- Memory (2)
- Merge Replication (2)
- Metrics (2)
- Mutex (2)
- MySQLShell (2)
- NLP (2)
- Neo4J (2)
- Node.Js (2)
- Nosql (2)
- November 11Th 2015 (2)
- Ntp (2)
- Oci Iam (2)
- Oem12C (2)
- Omspatcher (2)
- Opatchauto (2)
- Open Source Database (2)
- Operational Excellence (2)
- Oracle 11G (2)
- Oracle Datase (2)
- Oracle Extended Manager (Oem) (2)
- Oracle Flashback (2)
- Oracle Forms (2)
- Oracle Installation (2)
- Oracle Io Testing (2)
- Pdb (2)
- Podcast (2)
- Puppet (2)
- Pythian Europe (2)
- R12.2 (2)
- Redshift (2)
- Remote DBA (2)
- Remote Sre (2)
- SAP (2)
- SAP HANA Cloud (2)
- Sap Migration (2)
- Scale (2)
- Schema (2)
- September 30Th 2015 (2)
- September 3Rd 2015 (2)
- Shell (2)
- Simon Pane (2)
- Single Sign-On (2)
- Sql Server On Gke (2)
- Sqlplus (2)
- Sre (2)
- Ssis Catalog Error (2)
- Ssisdb (2)
- Standby (2)
- Statspack Mining (2)
- Systemstate Dump (2)
- Tablespace (2)
- Technical Training (2)
- Tempdb (2)
- Tfa (2)
- Throughput (2)
- Tls (2)
- Tombstones (2)
- Transactional Replication (2)
- User Groups (2)
- Vagrant (2)
- Variables (2)
- Virtual Machine (2)
- Virtual Machines (2)
- Virtualbox (2)
- Web Application Firewall (2)
- Webinars (2)
- X5 (2)
- scalability (2)
- //Build2019 (1)
- 11G (1)
- 12.1 (1)
- 12Cr1 (1)
- 12Cr2 (1)
- 18C Grid Installation (1)
- 2022 (1)
- 2022 Snowflake Summit (1)
- AI Platform (1)
- AI Summit (1)
- Actifio (1)
- Active Directory (1)
- Adaptive Hash Index (1)
- Adf Custom Email (1)
- Adobe Flash (1)
- Adrci (1)
- Advanced Data Services (1)
- Afd (1)
- After Logon Trigger (1)
- Ahf (1)
- Aix (1)
- Akka (1)
- Alloydb (1)
- Alter Table (1)
- Always On (1)
- Always On Listener (1)
- Alwayson With Gke (1)
- Amazon (1)
- Amazon Athena (1)
- Amazon Aurora Backtrack (1)
- Amazon Efs (1)
- Amazon Redshift (1)
- Amazon Sagemaker (1)
- Amazon Vpc Flow Logs (1)
- Amdu (1)
- Analysis (1)
- Analytical Models (1)
- Analyzing Bigquery Via Sheets (1)
- Anisble (1)
- Annual Mysql Community Dinner (1)
- Anthos (1)
- Apache (1)
- Apache Nifi (1)
- Apache Spark (1)
- Application Migration (1)
- Architect (1)
- Architecture (1)
- Ash (1)
- Asmlib (1)
- Atlas CLI (1)
- Audit In Postgres (1)
- Audit In Postgresql (1)
- Auto Failover (1)
- Auto Increment (1)
- Auto Index (1)
- Autoconfig (1)
- Automated Reports (1)
- Automl (1)
- Autostart (1)
- Awr Mining (1)
- Aws Glue (1)
- Aws Lake Formation (1)
- Aws Lambda (1)
- Azure Analysis Services (1)
- Azure Blob Storage (1)
- Azure Cognitive Search (1)
- Azure Data (1)
- Azure Data Lake (1)
- Azure Data Lake Analytics (1)
- Azure Data Lake Store (1)
- Azure Data Migration Service (1)
- Azure Dma (1)
- Azure Dms (1)
- Azure Document Intelligence (1)
- Azure Integration Runtime (1)
- Azure OpenAI (1)
- Azure Sql Data Warehouse (1)
- Azure Sql Dw (1)
- Azure Sql Managed Instance (1)
- Azure Vm (1)
- Backup For Sql Server (1)
- Bacpac (1)
- Bag (1)
- Bare Metal Solution (1)
- Batch Operation (1)
- Batches In Cassandra (1)
- Beats (1)
- Best Practice (1)
- Bi Publisher (1)
- Binary Logging (1)
- Bind Variables (1)
- Bitnami (1)
- Blob Storage Endpoint (1)
- Blockchain (1)
- Browsers (1)
- Btp Architecture (1)
- Btp Components (1)
- Buffer Pool (1)
- Bug (1)
- Bugs (1)
- Build 2019 Updates (1)
- Build Cassandra (1)
- Bundle Patch (1)
- Bushy Join (1)
- Business Continuity (1)
- Business Insights (1)
- Business Process Modelling (1)
- Business Reputation (1)
- CAPEX (1)
- Capacity Planning (1)
- Career (1)
- Career Development (1)
- Cassandra-Cli (1)
- Catcon.Pm (1)
- Catctl.Pl (1)
- Catupgrd.Sql (1)
- Cbo (1)
- Cdb Duplication (1)
- Certificate (1)
- Certificate Management (1)
- Chaos Engineering (1)
- Cheatsheet (1)
- Checkactivefilesandexecutables (1)
- Chmod (1)
- Chown (1)
- Chrome Enterprise (1)
- Chrome Security (1)
- Cl-Series (1)
- Cleanup (1)
- Cloud Browser (1)
- Cloud Build (1)
- Cloud Consulting (1)
- Cloud Data Warehouse (1)
- Cloud Database Management (1)
- Cloud Dataproc (1)
- Cloud Foundry (1)
- Cloud Manager (1)
- Cloud Migations (1)
- Cloud Networking (1)
- Cloud SQL Replica (1)
- Cloud Scheduler (1)
- Cloud Services (1)
- Cloud Strategies (1)
- Cloudformation (1)
- Cluster Resource (1)
- Cmo (1)
- Cockroach Db (1)
- Coding Benchmarks (1)
- Colab (1)
- Collectd (1)
- Columnar (1)
- Communication Plans (1)
- Community (1)
- Compact Storage (1)
- Compaction (1)
- Compliance (1)
- Compression (1)
- Compute Instances (1)
- Compute Node (1)
- Concurrent Manager (1)
- Concurrent Processing (1)
- Configuration (1)
- Consistency Level (1)
- Consolidation (1)
- Conversational AI (1)
- Covid-19 (1)
- Cpu Patching (1)
- Cqlsstablewriter (1)
- Crash (1)
- Create Catalog Error (1)
- Create_File_Dest (1)
- Credentials (1)
- Cross Platform (1)
- CrowdStrike (1)
- Crsctl (1)
- Custom Instance Images (1)
- Cve-2022-21500 (1)
- Cvu (1)
- Cypher Queries (1)
- DBSAT 3 (1)
- Dacpac (1)
- Dag (1)
- Data Analysis (1)
- Data Analytics Platform (1)
- Data Box (1)
- Data Classification (1)
- Data Cleansing (1)
- Data Encryption (1)
- Data Engineering (1)
- Data Estate (1)
- Data Flow Management (1)
- Data Insights (1)
- Data Integrity (1)
- Data Lake (1)
- Data Leader (1)
- Data Lifecycle Management (1)
- Data Lineage (1)
- Data Masking (1)
- Data Mesh (1)
- Data Migration Assistant (1)
- Data Migration Service (1)
- Data Mining (1)
- Data Modeling (1)
- Data Monetization (1)
- Data Policy (1)
- Data Profiling (1)
- Data Protection (1)
- Data Retention (1)
- Data Safe (1)
- Data Sheets (1)
- Data Summit (1)
- Data Vault (1)
- Data Warehouse Modernization (1)
- Database Auditing (1)
- Database Consultant (1)
- Database Link (1)
- Database Modernization (1)
- Database Provisioning (1)
- Database Provisioning Failed (1)
- Database Replication (1)
- Database Scaling (1)
- Database Schemas (1)
- Database Security (1)
- Databricks (1)
- Datadog (1)
- Datafile (1)
- Datapatch (1)
- Dataprivacy (1)
- Datascape 59 (1)
- Datasets (1)
- Datastax Cassandra (1)
- Datastax Opscenter (1)
- Datasync Error (1)
- Db_Create_File_Dest (1)
- Dbaas (1)
- Dbatools (1)
- Dbcc Checkident (1)
- Dbms_Cloud (1)
- Dbms_File_Transfer (1)
- Dbms_Metadata (1)
- Dbms_Service (1)
- Dbms_Stats (1)
- Dbupgrade (1)
- Deep Learning (1)
- Delivery (1)
- Devd (1)
- Dgbroker (1)
- Dialogflow (1)
- Dict0Dict (1)
- Did You Know (1)
- Direct Path Read Temp (1)
- Disk Groups (1)
- Disk Management (1)
- Diskgroup (1)
- Dispatchers (1)
- Distributed Ag (1)
- Distribution Agent (1)
- Documentation (1)
- Download (1)
- Dp Agent (1)
- Duet AI (1)
- Duplication (1)
- Dynamic Sampling (1)
- Dynamic Tasks (1)
- E-Business Suite Cpu Patching (1)
- E-Business Suite Patching (1)
- Ebs Sso (1)
- Ec2 (1)
- Edb Postgresql Advanced Server (1)
- Edb Postgresql Password Verify Function (1)
- Editions (1)
- Edp (1)
- El Carro (1)
- Elassandra (1)
- Elk Stack (1)
- Em13Cr2 (1)
- Emcli (1)
- End of Life (1)
- Engineering (1)
- Enqueue (1)
- Enterprise (1)
- Enterprise Architecture (1)
- Enterprise Command Centers (1)
- Enterprise Manager Command Line Interface (Em Cli (1)
- Enterprise Plus (1)
- Episode 58 (1)
- Error Handling (1)
- Exacc (1)
- Exacheck (1)
- Exacs (1)
- Exadata Asr (1)
- Execution (1)
- Executive Sponsor (1)
- Expenditure (1)
- Export Sccm Collection To Csv (1)
- External Persistent Volumes (1)
- Fail (1)
- Failed Upgrade (1)
- Failover In Postgresql (1)
- Fall 2021 (1)
- Fast Recovery Area (1)
- FinOps Strategy (1)
- Flash Recovery Area (1)
- Flashback (1)
- Fnd (1)
- Fndsm (1)
- Force_Matching_Signature (1)
- Fra Full (1)
- Framework (1)
- Freebsd (1)
- Fsync (1)
- Function-Based Index (1)
- GCVE Architecture (1)
- GPQA (1)
- Gaming (1)
- Garbagecollect (1)
- Gcp Compute (1)
- Gcp-Spanner (1)
- Geography (1)
- Geth (1)
- Getmospatch (1)
- Git (1)
- Global Analytics (1)
- Gmail (1)
- Gmail Security (1)
- Google Analytics (1)
- Google Cloud Architecture Framework (1)
- Google Cloud Data Services (1)
- Google Cloud Partner (1)
- Google Cloud Spanner (1)
- Google Cloud VMware Engine (1)
- Google Compute Engine (1)
- Google Dataflow (1)
- Google Datalab (1)
- Google Grab And Go (1)
- Google Sheets (1)
- Gp2 (1)
- Graph Algorithms (1)
- Graph Databases (1)
- Graph Inferences (1)
- Graph Theory (1)
- GraphQL (1)
- Graphical User Interface (Gui) (1)
- Grid (1)
- Grid Infrastructure (1)
- Griddisk Resize (1)
- Grp (1)
- Guaranteed Restore Point (1)
- Guid Mismatch (1)
- HR Technology (1)
- HRM (1)
- Ha (1)
- Hang (1)
- Hashicorp (1)
- Hbase (1)
- Hcc (1)
- Hdinsight (1)
- Healthcheck (1)
- Hemantgiri S. Goswami (1)
- Hortonworks (1)
- How To Install Ssrs (1)
- Hr (1)
- Httpchk (1)
- Https (1)
- Huge Pages (1)
- HumanEval (1)
- Hung Database (1)
- Hybrid Columnar Compression (1)
- Hyper-V (1)
- Hyperscale (1)
- Hypothesis Driven Development (1)
- Ibm (1)
- Identity Management (1)
- Idm (1)
- Ilom (1)
- Imageinfo (1)
- Impdp (1)
- In Place Upgrade (1)
- Incident Response (1)
- Indempotent (1)
- Indexing In Mongodb (1)
- Influxdb (1)
- Information (1)
- Infrastructure As A Code (1)
- Injection (1)
- Innobackupex (1)
- Innodb Concurrency (1)
- Innodb Flush Method (1)
- Insights (1)
- Installing (1)
- Instance Cloning (1)
- Integration Services (1)
- Integrations (1)
- Interactive_Timeout (1)
- Interval Partitioning (1)
- Invisible Indexes (1)
- Io1 (1)
- IoT (1)
- Iops (1)
- Iphone (1)
- Ipv6 (1)
- Iscsi (1)
- Iscsi-Initiator-Utils (1)
- Iscsiadm (1)
- Issues (1)
- It Industry (1)
- It Teams (1)
- JMX Metrics (1)
- Jared Still (1)
- Javascript (1)
- Jdbc (1)
- Jinja2 (1)
- Jmx (1)
- Jmx Monitoring (1)
- Jvm (1)
- Jython (1)
- K8S (1)
- Kernel (1)
- Key Btp Components (1)
- Kfed (1)
- Kill Sessions (1)
- Knapsack (1)
- Kubeflow (1)
- LMSYS Chatbot Arena (1)
- Large Pages (1)
- Latency (1)
- Latest News (1)
- Leadership (1)
- Leap Second (1)
- Limits (1)
- Line 1 (1)
- Linkcolumn (1)
- Linux Host Monitoring (1)
- Linux Storage Appliance (1)
- Listener (1)
- Loadavg (1)
- Lock_Sga (1)
- Locks (1)
- Log File Switch (Archiving Needed) (1)
- Logfile (1)
- Looker (1)
- Lvm (1)
- MMLU (1)
- Managed Instance (1)
- Managed Services (1)
- Management (1)
- Management Servers (1)
- Marketing (1)
- Marketing Analytics (1)
- Martech (1)
- Masking (1)
- Megha Bedi (1)
- Metadata (1)
- Method-R Workbench (1)
- Metric (1)
- Metric Extensions (1)
- Michelle Gutzait (1)
- Microservices (1)
- Microsoft Azure Sql Database (1)
- Microsoft Build (1)
- Microsoft Build 2019 (1)
- Microsoft Ignite (1)
- Microsoft Inspire 2019 (1)
- Migrate (1)
- Migrating Ssis Catalog (1)
- Migrating To Azure Sql (1)
- Migration Checklist (1)
- Mirroring (1)
- Mismatch (1)
- Model Governance (1)
- Monetization (1)
- MongoDB Atlas (1)
- MongoDB Compass (1)
- Ms Excel (1)
- Msdtc (1)
- Msdtc In Always On (1)
- Msdtc In Cluster (1)
- Multi-IP (1)
- Multicast (1)
- Multipath (1)
- My.Cnf (1)
- MySQL Shell Logical Backup (1)
- MySQLDump (1)
- Mysql Enterprise (1)
- Mysql Plugin For Oracle Enterprise Manager (1)
- Mysql Replication Filters (1)
- Mysql Server (1)
- Mysql-Python (1)
- Nagios (1)
- Ndb (1)
- Net_Read_Timeout (1)
- Net_Write_Timeout (1)
- Netcat (1)
- Newsroom (1)
- Nfs (1)
- Nifi (1)
- Node (1)
- November 10Th 2015 (1)
- November 6Th 2015 (1)
- Null Columns (1)
- Nullipotent (1)
- OPEX (1)
- ORAPKI (1)
- O_Direct (1)
- Oacore (1)
- October 21St 2015 (1)
- October 6Th 2015 (1)
- October 8Th 2015 (1)
- Oda (1)
- Odbcs (1)
- Odbs (1)
- Odi (1)
- Oel (1)
- Ohs (1)
- Olvm (1)
- On-Prem To Azure Sql (1)
- On-Premises (1)
- Onclick (1)
- Open.Canada.Ca (1)
- Openstack (1)
- Operating System Monitoring (1)
- Oplog (1)
- Opsworks (1)
- Optimization (1)
- Optimizer (1)
- Ora-01852 (1)
- Ora-7445 (1)
- Oracle 19 (1)
- Oracle 20C (1)
- Oracle Cursor (1)
- Oracle Database 12.2 (1)
- Oracle Database Appliance (1)
- Oracle Database Se2 (1)
- Oracle Database Standard Edition 2 (1)
- Oracle Database Upgrade (1)
- Oracle Database@Google Cloud (1)
- Oracle Exadata Smart Scan (1)
- Oracle Licensing (1)
- Oracle Linux Virtualization Manager (1)
- Oracle Oda (1)
- Oracle Openworld (1)
- Oracle Parallelism (1)
- Oracle Rdbms (1)
- Oracle Real Application Clusters (1)
- Oracle Reports (1)
- Oracle Security (1)
- Oracle Wallet (1)
- Orasrp (1)
- Organizational Change (1)
- Orion (1)
- Os (1)
- Osbws_Install.Jar (1)
- Oui Gui (1)
- Output (1)
- Owox (1)
- Paas (1)
- Package Deployment Wizard Error (1)
- Parallel Execution (1)
- Parallel Query (1)
- Parallel Query Downgrade (1)
- Partitioning (1)
- Partitions (1)
- Password (1)
- Password Change (1)
- Password Recovery (1)
- Password Verify Function In Postgresql (1)
- Patches (1)
- Patchmgr (1)
- Pdb Duplication (1)
- Penalty (1)
- Perfomrance (1)
- Performance Schema (1)
- Pg 15 (1)
- Pg_Rewind (1)
- Pga (1)
- Pipeline Debugging (1)
- Pivot (1)
- Planning (1)
- Plsql (1)
- Policy (1)
- Polybase (1)
- Post-Acquisition (1)
- Post-Covid It (1)
- Postgresql Complex Password (1)
- Postgresql With Repmgr Integration (1)
- Power Bi (1)
- Pq (1)
- Preliminar Connection (1)
- Preliminary Connection (1)
- Privatecloud (1)
- Process Mining (1)
- Production (1)
- Productivity (1)
- Profile In Edb Postgresql (1)
- Programming (1)
- Prompt Engineering (1)
- Provisioned Iops (1)
- Provisiones Iops (1)
- Proxy Monitoring (1)
- Psu (1)
- Public Cloud (1)
- Pubsub (1)
- Purge (1)
- Purge Thread (1)
- Pythian Blackbird Acquisition (1)
- Pythian Goodies (1)
- Pythian News (1)
- Python Pandas (1)
- Query Performance (1)
- Quicksight (1)
- Quota Limits (1)
- R12 R12.2 Cp Concurrent Processing Abort (1)
- R12.1.3 (1)
- REF! (1)
- Ram Cache (1)
- Rbac (1)
- Rdb (1)
- Rds_File_Util (1)
- Read Free Replication (1)
- Read Latency (1)
- Read Only (1)
- Read Replica (1)
- Reboot (1)
- Recruiting (1)
- Redo Size (1)
- Relational Database Management System (1)
- Release (1)
- Release Automation (1)
- Repair (1)
- Replication Compatibility (1)
- Replication Error (1)
- Repmgr (1)
- Repmgrd (1)
- Reporting Services 2019 (1)
- Resiliency Planning (1)
- Resource Manager (1)
- Resources (1)
- Restore (1)
- Restore Point (1)
- Retail (1)
- Rhel (1)
- Risk (1)
- Risk Management (1)
- Rocksrb (1)
- Role In Postgresql (1)
- Rollback (1)
- Rolling Patch (1)
- Row0Purge (1)
- Rpm (1)
- Rule "Existing Clustered Or Clustered-Prepared In (1)
- Running Discovery On Remote Machine (1)
- SQL Optimization (1)
- SQL Tracing (1)
- SSRS Administration (1)
- SaaS (1)
- Sap Assessment (1)
- Sap Assessment Report (1)
- Sap Backup Restore (1)
- Sap Btp Architecture (1)
- Sap Btp Benefits (1)
- Sap Btp Model (1)
- Sap Btp Services (1)
- Sap Homogenous System Copy Method (1)
- Sap Landscape Copy (1)
- Sap Migration Assessment (1)
- Sap On Mssql (1)
- Sap System Copy (1)
- Sar (1)
- Scaling Ir (1)
- Sccm (1)
- Sccm Powershell (1)
- Scheduler (1)
- Scheduler_Job (1)
- Schedulers (1)
- Scheduling (1)
- Scott Mccormick (1)
- Scripts (1)
- Sdp (1)
- Secrets (1)
- Securing Sql Server (1)
- Security Compliance (1)
- Sed (Stream Editor) (1)
- Self Hosted Ir (1)
- Semaphore (1)
- Seps (1)
- September 11Th 2015 (1)
- Serverless Computing (1)
- Serverless Framework (1)
- Service Broker (1)
- Service Bus (1)
- Shared Connections (1)
- Shared Storage (1)
- Shellshock (1)
- Signals (1)
- Silent (1)
- Slave (1)
- Slob (1)
- Smart Scan (1)
- Smtp (1)
- Snapshot (1)
- Snowday Fall 2021 (1)
- Socat (1)
- Software Development (1)
- Software Engineering (1)
- Solutions Architecture (1)
- Spanner-Backups (1)
- Sphinx (1)
- Split Brain In Postgresql (1)
- Spm (1)
- Sql Agent (1)
- Sql Backup To Url Error (1)
- Sql Cluster Installer Hang (1)
- Sql Database (1)
- Sql Developer (1)
- Sql On Linux (1)
- Sql Server 2014 (1)
- Sql Server 2016 (1)
- Sql Server Agent On Linux (1)
- Sql Server Backups (1)
- Sql Server Denali Is Required To Install Integrat (1)
- Sql Server Health Check (1)
- Sql Server Troubleshooting On Linux (1)
- Sql Server Version (1)
- Sql Setup (1)
- Sql Vm (1)
- Sql2K19Ongke (1)
- Sqldatabase Serverless (1)
- Ssh User Equivalence (1)
- Ssis Denali Error (1)
- Ssis Install Error E Xisting Clustered Or Cluster (1)
- Ssis Package Deployment Error (1)
- Ssisdb Master Key (1)
- Ssisdb Restore Error (1)
- Sso (1)
- Ssrs 2019 (1)
- Sstable2Json (1)
- Sstableloader (1)
- Sstablesimpleunsortedwriter (1)
- Stack Dump (1)
- Standard Edition (1)
- Startup Process (1)
- Statistics (1)
- Statspack (1)
- Statspack Data Mining (1)
- Statspack Erroneously Reporting (1)
- Statspack Issues (1)
- Storage (1)
- Stored Procedure (1)
- Strategies (1)
- Streaming (1)
- Sunos (1)
- Swap (1)
- Swapping (1)
- Switch (1)
- Syft (1)
- Synapse (1)
- Sync Failed There Is Not Enough Space On The Disk (1)
- Sys Schema (1)
- System Function (1)
- Systems Administration (1)
- T-Sql (1)
- Table Optimization (1)
- Tablespace Growth (1)
- Tablespaces (1)
- Tags (1)
- Tar (1)
- Tde (1)
- Team Management (1)
- Tech Debt (1)
- Technology (1)
- Telegraf (1)
- Tempdb Encryption (1)
- Templates (1)
- Temporary Tablespace (1)
- Tenserflow (1)
- Teradata (1)
- Testing New Cassandra Builds (1)
- There Is Not Enough Space On The Disk (1)
- Thick Data (1)
- Third-Party Data (1)
- Thrift (1)
- Thrift Data (1)
- Tidb (1)
- Time Series (1)
- Time-Drift (1)
- Tkprof (1)
- Tmux (1)
- Tns (1)
- Trace (1)
- Tracefile (1)
- Training (1)
- Transaction Log (1)
- Transactions (1)
- Transformation Navigator (1)
- Transparent Data Encryption (1)
- Trigger (1)
- Triggers On Memory-Optimized Tables Must Use With (1)
- Troubleshooting (1)
- Tungsten (1)
- Tvdxtat (1)
- Twitter (1)
- U-Sql (1)
- UNDO Tablespace (1)
- Upgrade Issues (1)
- Uptime (1)
- Uptrade (1)
- Url Backup Error (1)
- Usability (1)
- Use Cases (1)
- User (1)
- User Defined Compactions (1)
- Utilization (1)
- Utl_Smtp (1)
- VDI Jump Host (1)
- Validate Structure (1)
- Validate_Credentials (1)
- Value (1)
- Velocity (1)
- Vertex AI (1)
- Vertica (1)
- Vertical Slicing (1)
- Videos (1)
- Virtual Private Cloud (1)
- Virtualization (1)
- Vision (1)
- Vpn (1)
- Wait_Timeout (1)
- Wallet (1)
- Webhook (1)
- Weblogic Connection Filters (1)
- Webscale Database (1)
- Windows 10 (1)
- Windows Powershell (1)
- WiredTiger (1)
- With Native_Compilation (1)
- Word (1)
- Workshop (1)
- Workspace Security (1)
- Xbstream (1)
- Xml Publisher (1)
- Zabbix (1)
- dbms_Monitor (1)
- postgresql 16 (1)
- sqltrace (1)
- tracing (1)
- vSphere (1)
- xml (1)
- October 2024 (2)
- September 2024 (7)
- August 2024 (4)
- July 2024 (2)
- June 2024 (6)
- May 2024 (3)
- April 2024 (2)
- February 2024 (2)
- January 2024 (11)
- December 2023 (10)
- November 2023 (11)
- October 2023 (10)
- September 2023 (8)
- August 2023 (7)
- July 2023 (2)
- June 2023 (13)
- May 2023 (4)
- April 2023 (6)
- March 2023 (10)
- February 2023 (6)
- January 2023 (5)
- December 2022 (10)
- November 2022 (10)
- October 2022 (10)
- September 2022 (13)
- August 2022 (16)
- July 2022 (12)
- June 2022 (13)
- May 2022 (11)
- April 2022 (4)
- March 2022 (5)
- February 2022 (4)
- January 2022 (14)
- December 2021 (16)
- November 2021 (11)
- October 2021 (7)
- September 2021 (11)
- August 2021 (6)
- July 2021 (9)
- June 2021 (4)
- May 2021 (8)
- April 2021 (16)
- March 2021 (16)
- February 2021 (6)
- January 2021 (12)
- December 2020 (12)
- November 2020 (17)
- October 2020 (11)
- September 2020 (10)
- August 2020 (11)
- July 2020 (13)
- June 2020 (6)
- May 2020 (9)
- April 2020 (18)
- March 2020 (21)
- February 2020 (13)
- January 2020 (15)
- December 2019 (10)
- November 2019 (11)
- October 2019 (12)
- September 2019 (16)
- August 2019 (15)
- July 2019 (10)
- June 2019 (16)
- May 2019 (20)
- April 2019 (21)
- March 2019 (14)
- February 2019 (18)
- January 2019 (18)
- December 2018 (5)
- November 2018 (16)
- October 2018 (12)
- September 2018 (20)
- August 2018 (27)
- July 2018 (31)
- June 2018 (34)
- May 2018 (28)
- April 2018 (27)
- March 2018 (17)
- February 2018 (8)
- January 2018 (20)
- December 2017 (14)
- November 2017 (4)
- October 2017 (1)
- September 2017 (3)
- August 2017 (5)
- July 2017 (4)
- June 2017 (2)
- May 2017 (7)
- April 2017 (7)
- March 2017 (8)
- February 2017 (8)
- January 2017 (5)
- December 2016 (3)
- November 2016 (4)
- October 2016 (8)
- September 2016 (9)
- August 2016 (10)
- July 2016 (9)
- June 2016 (8)
- May 2016 (13)
- April 2016 (16)
- March 2016 (13)
- February 2016 (11)
- January 2016 (6)
- December 2015 (11)
- November 2015 (11)
- October 2015 (5)
- September 2015 (16)
- August 2015 (4)
- July 2015 (1)
- June 2015 (3)
- May 2015 (6)
- April 2015 (5)
- March 2015 (5)
- February 2015 (4)
- January 2015 (3)
- December 2014 (7)
- October 2014 (4)
- September 2014 (6)
- August 2014 (6)
- July 2014 (16)
- June 2014 (7)
- May 2014 (6)
- April 2014 (5)
- March 2014 (4)
- February 2014 (10)
- January 2014 (6)
- December 2013 (8)
- November 2013 (12)
- October 2013 (9)
- September 2013 (6)
- August 2013 (7)
- July 2013 (9)
- June 2013 (7)
- May 2013 (7)
- April 2013 (4)
- March 2013 (7)
- February 2013 (4)
- January 2013 (4)
- December 2012 (6)
- November 2012 (8)
- October 2012 (9)
- September 2012 (3)
- August 2012 (5)
- July 2012 (5)
- June 2012 (7)
- May 2012 (11)
- April 2012 (1)
- March 2012 (8)
- February 2012 (1)
- January 2012 (6)
- December 2011 (8)
- November 2011 (5)
- October 2011 (9)
- September 2011 (6)
- August 2011 (4)
- July 2011 (1)
- June 2011 (1)
- May 2011 (5)
- April 2011 (2)
- February 2011 (2)
- January 2011 (2)
- December 2010 (1)
- November 2010 (7)
- October 2010 (3)
- September 2010 (8)
- August 2010 (2)
- July 2010 (4)
- June 2010 (7)
- May 2010 (2)
- April 2010 (1)
- March 2010 (3)
- February 2010 (3)
- January 2010 (2)
- November 2009 (6)
- October 2009 (6)
- August 2009 (3)
- July 2009 (3)
- June 2009 (3)
- May 2009 (2)
- April 2009 (8)
- March 2009 (6)
- February 2009 (4)
- January 2009 (3)
- November 2008 (3)
- October 2008 (7)
- September 2008 (6)
- August 2008 (9)
- July 2008 (9)
- June 2008 (9)
- May 2008 (9)
- April 2008 (8)
- March 2008 (4)
- February 2008 (3)
- January 2008 (3)
- December 2007 (2)
- November 2007 (7)
- October 2007 (1)
- August 2007 (4)
- July 2007 (3)
- June 2007 (8)
- May 2007 (4)
- April 2007 (2)
- March 2007 (2)
- February 2007 (5)
- January 2007 (8)
- December 2006 (1)
- November 2006 (3)
- October 2006 (4)
- September 2006 (3)
- July 2006 (1)
- May 2006 (2)
- April 2006 (1)
- July 2005 (1)
No Comments Yet
Let us know what you think