Search Results

Search found 21434 results on 858 pages for 'query master'.

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

Page 27/858 | < Previous Page | 23 24 25 26 27 28 29 30 31 32 33 34  | Next Page >

  • Java MySQL Query Problem MySQLSyntaxErrorException When Creating a Table

    - by Aqib Mushtaq
    I fairly new to MySQL with Java, but I have executed a few successful INSERT queries however cannot seem to get the CREATE TABLE query to execute without getting the 'MySQLSyntaxErrorException' exception. My code is as follows: import java.sql.*; Statement stmt; Class.forName("com.mysql.jdbc.Driver"); String url = "jdbc:mysql://localhost:3306/mysql"; Connection con = DriverManager.getConnection(url, "root", "password"); stmt = con.createStatement(); String tblSQL = "CREATE TABLE IF NOT EXISTS \'dev\'.\'testTable\' (\n" + " \'id\' int(11) NOT NULL AUTO_INCREMENT,\n" + " \'date\' smallint(6) NOT NULL\n" + ") ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=1 ;"; stmt.executeUpdate(tblSQL); stmt.close(); con.close(); And the error is as follows: com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ''dev'.'testTable' ( 'id' int(11) NOT NULL AUTO_INCREMENT, 'date' smallint(6) N' at line 1 I would appreciate it if anyone could spot the mistake in this query, as I've tried executing this within phpMyAdmin and it works as it should. Thanks in advance.

    Read the article

  • Optimizing an embedded SELECT query in mySQL

    - by Crazy Serb
    Ok, here's a query that I am running right now on a table that has 45,000 records and is 65MB in size... and is just about to get bigger and bigger (so I gotta think of the future performance as well here): SELECT count(payment_id) as signup_count, sum(amount) as signup_amount FROM payments p WHERE tm_completed BETWEEN '2009-05-01' AND '2009-05-30' AND completed > 0 AND tm_completed IS NOT NULL AND member_id NOT IN (SELECT p2.member_id FROM payments p2 WHERE p2.completed=1 AND p2.tm_completed < '2009-05-01' AND p2.tm_completed IS NOT NULL GROUP BY p2.member_id) And as you might or might not imagine - it chokes the mysql server to a standstill... What it does is - it simply pulls the number of new users who signed up, have at least one "completed" payment, tm_completed is not empty (as it is only populated for completed payments), and (the embedded Select) that member has never had a "completed" payment before - meaning he's a new member (just because the system does rebills and whatnot, and this is the only way to sort of differentiate between an existing member who just got rebilled and a new member who got billed for the first time). Now, is there any possible way to optimize this query to use less resources or something, and to stop taking my mysql resources down on their knees...? Am I missing any info to clarify this any further? Let me know... EDIT: Here are the indexes already on that table: PRIMARY PRIMARY 46757 payment_id member_id INDEX 23378 member_id payer_id INDEX 11689 payer_id coupon_id INDEX 1 coupon_id tm_added INDEX 46757 tm_added, product_id tm_completed INDEX 46757 tm_completed, product_id

    Read the article

  • SQL query to get latest record for all distinct items in a table

    - by David Buckley
    I have a table of all sales defined like: mysql> describe saledata; +-------------------+---------------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +-------------------+---------------------+------+-----+---------+-------+ | SaleDate | datetime | NO | | NULL | | | StoreID | bigint(20) unsigned | NO | | NULL | | | Quantity | int(10) unsigned | NO | | NULL | | | Price | decimal(19,4) | NO | | NULL | | | ItemID | bigint(20) unsigned | NO | | NULL | | +-------------------+---------------------+------+-----+---------+-------+ I need to get the last sale price for all items (as the price may change). I know I can run a query like: SELECT price FROM saledata WHERE itemID = 1234 AND storeID = 111 ORDER BY saledate DESC LIMIT 1 However, I want to be able to get the last sale price for all items (the ItemIDs are stored in a separate item table) and insert them into a separate table. How can I get this data? I've tried queries like this: SELECT storeID, itemID, price FROM saledata WHERE itemID IN (SELECT itemID from itemmap) ORDER BY saledate DESC LIMIT 1 and then wrap that into an insert, but it's not getting the proper data. Is there one query I can run to get the last price for each item and insert that into a table defined like: mysql> describe lastsale; +-------------------+---------------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +-------------------+---------------------+------+-----+---------+-------+ | StoreID | bigint(20) unsigned | NO | | NULL | | | Price | decimal(19,4) | NO | | NULL | | | ItemID | bigint(20) unsigned | NO | | NULL | | +-------------------+---------------------+------+-----+---------+-------+

    Read the article

  • MySQL LIMIT 1 but query 15 rows?

    - by Ian
    Basically what I'm trying to do is compare the ID's of rows against 15 results in MySQL, eliminating all but 1 (using NOT IN) and then pull that result. Now normally this would be fine by itself, however the order of the 15 rows I'm doing the SQL query for are constantly changing based on a ranking, so there is a possibility that between the time the ranking updates, and the ajax request (which I submit the ID's for NOT IN) more than just one ID has changed, which would of course bring back more than one row which I do not want. So in short, is there a way in which I can query 15 rows, but only return one? Without having to run two separate queries. Any help is appreciated, thank you. EXAMPLE: Say I have 7 items in my database, and I'm displaying 5 on the page to the user. These are what are being displayed to the user: Apple Orange Kiwi Banana Grape But in the database I also have Peach Blackberry Now what I want to do is if the user deletes an item from their list, it will add another item (based on a ranking they have) Now the issue is, in order to know what they have on their list at the moment I send the remaining items to the database (say they deleted Kiwi, I would send Apple, Orange, Banana, and Grape) So now I select the highest ranked 5 items from are remaining six items, make sure they are not the ones already displayed on the page, and then add the new one to list (either Peach or Blackberry) All good and well, except that if both peach and blackberry now outrank grape, then I will be returning two results instead of just one. Because it would've searched... Apple Orange Banana Peach Blackberry and excluded... Apple Orange Banana Grape Which leaves us with both Peach and Blackberry, instead of just Peach or Blackberry

    Read the article

  • Fix N+1 query in "declarative_authorization" gem using gem "bullet"

    - by makaroni4
    Currently I am working on one big web application and to make it work faster I decided to refactor all N+1 queries (to decrease number of requests to database, http://rails-bestpractices.com/posts/29-fix-n-1-queries). So I installed gem "bullet" which doesn`t work with Rails 3.1.1 now (you can use fork from https://github.com/flyerhzm/bullet). When using declarative_authorization gem on each page I get same alerts: N+1 Query detected Role => [:permissions] Add to your finder: :include => [:permissions] N+1 Query detected Permission => [:permission_rules] Add to your finder: :include => [:permission_rules] CACHE (0.0ms) SELECT "roles".* FROM "roles" CACHE (0.0ms) SELECT "permissions".* FROM "permissions" WHERE "permissions"."role_id" = 1 CACHE (0.0ms) SELECT "permissions".* FROM "permissions" WHERE "permissions"."role_id" = 2 CACHE (0.0ms) SELECT "permissions".* FROM "permissions" WHERE "permissions"."role_id" = 3 CACHE (0.0ms) SELECT "permissions".* FROM "permissions" WHERE "permissions"."role_id" = 4 CACHE (0.0ms) SELECT "permissions".* FROM "permissions" WHERE "permissions"."role_id" = 6 CACHE (0.0ms) SELECT "permissions".* FROM "permissions" WHERE "permissions"."role_id" = 7 CACHE (0.0ms) SELECT "permissions".* FROM "permissions" WHERE "permissions"."role_id" = 8 CACHE (0.0ms) SELECT "permission_rules".* FROM "permission_rules" INNER JOIN "permission_rules_permissions" ON "permission_rules"."id" = "permission_rules_permissions"."permission_rule_id" WHERE "permission_rules_permissions"."permission_id" = 30 CACHE (0.0ms) SELECT "permission_rules".* FROM "permission_rules" INNER JOIN "permission_rules_permissions" ON "permission_rules"."id" = "permission_rules_permissions"."permission_rule_id" WHERE "permission_rules_permissions"."permission_id" = 31 ... Could you please help me with that and to make this queries faster?

    Read the article

  • build SQL query string using user input

    - by user175084
    i have to make a string by using the values which the user selects on the webpage suppose i need to display files for multiple machines with differnt search criteria.. i currently use this code: DataTable dt = new DataTable(); SqlConnection connection = new SqlConnection(); connection.ConnectionString = ConfigurationManager.ConnectionStrings["DBConnectionString"].ConnectionString; connection.Open(); SqlCommand sqlCmd = new SqlCommand("SELECT FileID FROM Files WHERE MachineID=@machineID and date= @date", connection); SqlDataAdapter sqlDa = new SqlDataAdapter(sqlCmd); sqlCmd.Parameters.AddWithValue("@machineID", machineID); sqlCmd.Parameters.AddWithValue("@date", date); sqlDa.Fill(dt); now this is fixed query where the user just has one machine and just selects one date... i want to make a query in which the user has multiple search options like type or size if he wants depending on what he selects also if he can select multiple machines.. SELECT FileID FROM Files WHERE (MachineID=@machineID1 or MachineID = @machineID2...) and (date= @date and size=@size and type=@type... ) all of this happens in runtime... other wise i have to create a for loop to put multiple machines one by one... and have multiple queries depending on the case the user selected... this is quiet interesting and i could use some help... thanks

    Read the article

  • help with delete where not in query

    - by kralco626
    I have a lookup table (##lookup). I know it's bad design because I'm duplicating data, but it speeds up my queries tremendously. I have a query that populates this table insert into ##lookup select distinct col1,col2,... from table1...join...etc... I would like to simulate this behavior: delete from ##lookup insert into ##lookup select distinct col1,col2,... from table1...join...etc... This would clearly update the table correctly. But this is a lot of inserting and deleting. It messes with my indexes and locks up the table for selecting from. This table could also be updated by something like: delete from ##lookup where not in (select distinct col1,col2,... from table1...join...etc...) insert into ##lookup (select distinct col1,col2,... from table1...join...etc...) except if it is already in the table The second way may take longer, but I can say "with no lock" and I will be able to select from the table. Any ideas on how to write the query the second way?

    Read the article

  • How to loop through an array return from the Query of Mysql

    - by Jerry
    This might be easy for you guys but i could't get it. I have a php class that query the database and return the query result. I assign the result to an array and wants to use it on my main.php script. I have tried to use echo $var[0] or echo $var[1] but the output are 'array' instead of my value. Anyone can help me about this issue? Thanks a lot! My php class <?php class teamQuery { function teamQuery(){ } function getAllTeam(){ $connection = mysql_connect(DB_SERVER,DB_USER,DB_PASS); if (!$connection) { die("Database connection failed: " . mysql_error()); } $db_select = mysql_select_db(DB_NAME,$connection); if (!$db_select) { die("Database selection failed: " . mysql_error()); } $teamQuery=mysql_query("SELECT * FROM team", $connection); if (!$teamQuery){ die("database has errors: ".mysql_error()); } $ret = array(); while($row=mysql_fetch_array($teamQuery)){ $ret[]=$row; } mysql_free_result($teamQuery); return $ret; } } ?> My php on the main.php $getTeam=new teamQuery(); $team=$getTeam->getAllTeam(); //echo $team[0] or team[1] output 'array' string! // while($team){ // do something } can't work either // How to loop through the values?? Thanks!

    Read the article

  • Optimize SQL query (Facebook-like application)

    - by fabriciols
    My application is similar to Facebook, and I'm trying to optimize the query that get user records. The user records are that he as src ou dst. The src is in usermuralentry directly, the dst list are in usermuralentry_user. So, a entry can have one src and many dst. I have those tables: mysql> desc usermuralentry ; +-----------------+------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +-----------------+------------------+------+-----+---------+----------------+ | id | int(11) | NO | PRI | NULL | auto_increment | | user_src_id | int(11) | NO | MUL | NULL | | | private | tinyint(1) | NO | | NULL | | | content | longtext | NO | | NULL | | | date | datetime | NO | | NULL | | | last_update | datetime | NO | | NULL | | +-----------------+------------------+------+-----+---------+----------------+ 10 rows in set (0.10 sec) mysql> desc usermuralentry_user ; +-------------------+---------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +-------------------+---------+------+-----+---------+----------------+ | id | int(11) | NO | PRI | NULL | auto_increment | | usermuralentry_id | int(11) | NO | MUL | NULL | | | userinfo_id | int(11) | NO | MUL | NULL | | +-------------------+---------+------+-----+---------+----------------+ 3 rows in set (0.00 sec) And the following query to retrieve information from two users. mysql> explain SELECT * FROM usermuralentry AS a , usermuralentry_user AS b WHERE a.user_src_id IN ( 1, 2 ) OR ( a.id = b.usermuralentry_id AND b.userinfo_id IN ( 1, 2 ) ); +----+-------------+-------+------+-------------------------------------------------------------------------------------------+------+---------+------+---------+------------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------+------+-------------------------------------------------------------------------------------------+------+---------+------+---------+------------------------------------------------+ | 1 | SIMPLE | b | ALL | usermuralentry_id,usermuralentry_user_bcd7114e,usermuralentry_user_6b192ca7 | NULL | NULL | NULL | 147188 | | | 1 | SIMPLE | a | ALL | PRIMARY | NULL | NULL | NULL | 1371289 | Range checked for each record (index map: 0x1) | +----+-------------+-------+------+-------------------------------------------------------------------------------------------+------+---------+------+---------+------------------------------------------------+ 2 rows in set (0.00 sec) but it is taking A LOT of time... Some tips to optimize? Can the table schema be better in my application?

    Read the article

  • SQL Server 05, which is optimal, LIKE %<term>% or CONTAINS() for searching large column

    - by Spud1
    I've got a function written by another developer which I am trying to modify for a slightly different use. It is used by a SP to check if a certain phrase exists in a text document stored in the DB, and returns 1 if the value is found or 0 if its not. This is the query: SELECT @mres=1 from documents where id=@DocumentID and contains(text, @search_term) The document contains mostly XML, and the search_term is a GUID formatted as an nvarchar(40). This seems to run quite slowly to me (taking 5-6 seconds to execute this part of the process), but in the same script file there is also this version of the above, commented out. SELECT @mres=1 from documents where id=@DocumentID and textlike '%' + @search_term + '%' This version runs MUCH quicker, taking 4ms compared to 15ms for the first example. So, my question is why use the first over the second? I assume this developer (who is no longer working with me) had a good reason, but at the moment I am struggling to find it.. Is it possibly something to do with the full text indexing? (this is a dev DB I am working with, so the production version may have better indexing..) I am not that clued up on FTI really so not quite sure at the moment. Thoughts/ideas?

    Read the article

  • SQL SERVER – DMV – sys.dm_exec_query_optimizer_info – Statistics of Optimizer

    - by pinaldave
    Incredibly, SQL Server has so much information to share with us. Every single day, I am amazed with this SQL Server technology. Sometimes I find several interesting information by just querying few of the DMV. And when I present this info in front of my client during performance tuning consultancy, they are surprised with my findings. Today, I am going to share one of the hidden gems of DMV with you, the one which I frequently use to understand what’s going on under the hood of SQL Server. SQL Server keeps the record of most of the operations of the Query Optimizer. We can learn many interesting details about the optimizer which can be utilized to improve the performance of server. SELECT * FROM sys.dm_exec_query_optimizer_info WHERE counter IN ('optimizations', 'elapsed time','final cost', 'insert stmt','delete stmt','update stmt', 'merge stmt','contains subquery','tables', 'hints','order hint','join hint', 'view reference','remote query','maximum DOP', 'maximum recursion level','indexed views loaded', 'indexed views matched','indexed views used', 'indexed views updated','dynamic cursor request', 'fast forward cursor request') All occurrence values are cumulative and are set to 0 at system restart. All values for value fields are set to NULL at system restart. I have removed a few of the internal counters from the script above, and kept only documented details. Let us check the result of the above query. As you can see, there is so much vital information that is revealed in above query. I can easily say so many things about how many times Optimizer was triggered and what the average time taken by it to optimize my queries was. Additionally, I can also determine how many times update, insert or delete statements were optimized. I was able to quickly figure out that my client was overusing the Query Hints using this dynamic management view. If you have been reading my blog, I am sure you are aware of my series related to SQL Server Views SQL SERVER – The Limitations of the Views – Eleven and more…. With this, I can take a quick look and figure out how many times Views were used in various solutions within the query. Moreover, you can easily know what fraction of the optimizations has been involved in tuning server. For example, the following query would tell me, in total optimizations, what the fraction of time View was “reference“. As this View also includes system Views and DMVs, the number is a bit higher on my machine. SELECT (SELECT CAST (occurrence AS FLOAT) FROM sys.dm_exec_query_optimizer_info WHERE counter = 'view reference') / (SELECT CAST (occurrence AS FLOAT) FROM sys.dm_exec_query_optimizer_info WHERE counter = 'optimizations') AS ViewReferencedFraction Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL DMV, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

    Read the article

  • SQL SERVER – Introduction to FIRST _VALUE and LAST_VALUE – Analytic Functions Introduced in SQL Server 2012

    - by pinaldave
    SQL Server 2012 introduces new analytical functions FIRST_VALUE() and LAST_VALUE(). This function returns first and last value from the list. It will be very difficult to explain this in words so I’d like to attempt to explain its function through a brief example. Instead of creating a new table, I will be using the AdventureWorks sample database as most developers use that for experiment purposes. Now let’s have fun following query: USE AdventureWorks GO SELECT s.SalesOrderID,s.SalesOrderDetailID,s.OrderQty, FIRST_VALUE(SalesOrderDetailID) OVER (ORDER BY SalesOrderDetailID) FstValue, LAST_VALUE(SalesOrderDetailID) OVER (ORDER BY SalesOrderDetailID) LstValue FROM Sales.SalesOrderDetail s WHERE SalesOrderID IN (43670, 43669, 43667, 43663) ORDER BY s.SalesOrderID,s.SalesOrderDetailID,s.OrderQty GO The above query will give us the following result: What’s the most interesting thing here is that as we go from row 1 to row 10, the value of the FIRST_VALUE() remains the same but the value of the LAST_VALUE is increasing. The reason behind this is that as we progress in every line – considering that line and all the other lines before it, the last value will be of the row where we are currently looking at. To fully understand this statement, see the following figure: This may be useful in some cases; but not always. However, when we use the same thing with PARTITION BY, the same query starts showing the result which can be easily used in analytical algorithms and needs. Let us have fun through the following query: Let us fun following query. USE AdventureWorks GO SELECT s.SalesOrderID,s.SalesOrderDetailID,s.OrderQty, FIRST_VALUE(SalesOrderDetailID) OVER (PARTITION BY SalesOrderID ORDER BY SalesOrderDetailID) FstValue, LAST_VALUE(SalesOrderDetailID) OVER (PARTITION BY SalesOrderID ORDER BY SalesOrderDetailID) LstValue FROM Sales.SalesOrderDetail s WHERE SalesOrderID IN (43670, 43669, 43667, 43663) ORDER BY s.SalesOrderID,s.SalesOrderDetailID,s.OrderQty GO The above query will give us the following result: Let us understand how PARTITION BY windows the resultset. I have used PARTITION BY SalesOrderID in my query. This will create small windows of the resultset from the original resultset and will follow the logic or FIRST_VALUE and LAST_VALUE in this resultset. Well, this is just an introduction to these functions. In the future blog posts we will go deeper to discuss the usage of these two functions. By the way, these functions can be applied over VARCHAR fields as well and are not limited to the numeric field only. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Function, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

    Read the article

  • SharePoint 2010 Server Configuration Error -> "Cannot connect to database master"

    - by Chrish Riis
    I recieve the following error when I try to configure SharePoint 2010 Server: "Cannot connect to the database master at SQL server at [computer.domain]. The database might not exist, or the current user does not have permission to connect to it." I run the following setup: Windows Server 2008 R2 Standard with SP1 and all the updates SQL Server 2008 R2 with SP1 SharePoint Server 2010 with SP1 Everything is installed on the same server (it's a testserver) I have tried the following: Rebooting the server Checking the install account's DB rights (dbcreator, securityadmin - I even let it have sysadmin) Opened up the firewall on port 1433 and 1434 Uninstalled both SQL and SP, then reinstalled the both Enabled all client protocols in SQL Server Configuration Made sure I used the correct account for installing SharePoint (local admin) Useful links: TCP/IP settings – http:// blog.vanmeeuwen-online.nl/2010/10/cannot-connect-to-database-master-at.html http:// ybbest.wordpress.com/2011/04/22/cannot-connect-to-database-master-at-sql-server-at-sql2008r2/ Wrong slash - http:// yakimadev.com/2010/11/cannot-connect-to-database-master-at-sql-server-at-serverdbname-error-during-sharepoint-2010-products-configuration-wizard-and-installation/ Port error - http:// www.knowsharepoint.com/2011/08/error-connecting-to-database-server.html

    Read the article

  • solved: puppet master REST API returns 403 when running under passenger works when master runs from command line

    - by Anadi Misra
    I am using the standard auth.conf provided in puppet install for the puppet master which is running through passenger under Nginx. However for most of the catalog, files and certitifcate request I get a 403 response. ### Authenticated paths - these apply only when the client ### has a valid certificate and is thus authenticated # allow nodes to retrieve their own catalog path ~ ^/catalog/([^/]+)$ method find allow $1 # allow nodes to retrieve their own node definition path ~ ^/node/([^/]+)$ method find allow $1 # allow all nodes to access the certificates services path ~ ^/certificate_revocation_list/ca method find allow * # allow all nodes to store their reports path /report method save allow * # unconditionally allow access to all file services # which means in practice that fileserver.conf will # still be used path /file allow * ### Unauthenticated ACL, for clients for which the current master doesn't ### have a valid certificate; we allow authenticated users, too, because ### there isn't a great harm in letting that request through. # allow access to the master CA path /certificate/ca auth any method find allow * path /certificate/ auth any method find allow * path /certificate_request auth any method find, save allow * path /facts auth any method find, search allow * # this one is not stricly necessary, but it has the merit # of showing the default policy, which is deny everything else path / auth any Puppet master however does not seems to be following this as I get this error on client [amisr1@blramisr195602 ~]$ sudo puppet agent --no-daemonize --verbose --server bangvmpllda02.XXXXX.com [sudo] password for amisr1: Starting Puppet client version 3.0.1 Warning: Unable to fetch my node definition, but the agent run will continue: Warning: Error 403 on SERVER: Forbidden request: XX.XXX.XX.XX(XX.XXX.XX.XX) access to /certificate_revocation_list/ca [find] at :110 Info: Retrieving plugin Error: /File[/var/lib/puppet/lib]: Failed to generate additional resources using 'eval_generate: Error 403 on SERVER: Forbidden request: XX.XXX.XX.XX(XX.XXX.XX.XX) access to /file_metadata/plugins [search] at :110 Error: /File[/var/lib/puppet/lib]: Could not evaluate: Error 403 on SERVER: Forbidden request: XX.XXX.XX.XX(XX.XXX.XX.XX) access to /file_metadata/plugins [find] at :110 Could not retrieve file metadata for puppet://devops.XXXXX.com/plugins: Error 403 on SERVER: Forbidden request: XX.XXX.XX.XX(XX.XXX.XX.XX) access to /file_metadata/plugins [find] at :110 Error: Could not retrieve catalog from remote server: Error 403 on SERVER: Forbidden request: XX.XXX.XX.XX(XX.XXX.XX.XX) access to /catalog/blramisr195602.XXXXX.com [find] at :110 Using cached catalog Error: Could not retrieve catalog; skipping run Error: Could not send report: Error 403 on SERVER: Forbidden request: XX.XXX.XX.XX(XX.XXX.XX.XX) access to /report/blramisr195602.XXXXX.com [save] at :110 and the server logs show XX.XXX.XX.XX - - [10/Dec/2012:14:46:52 +0530] "GET /production/certificate_revocation_list/ca? HTTP/1.1" 403 102 "-" "Ruby" XX.XXX.XX.XX - - [10/Dec/2012:14:46:52 +0530] "GET /production/file_metadatas/plugins?links=manage&recurse=true&&ignore=---+%0A++-+%22.svn%22%0A++-+CVS%0A++-+%22.git%22&checksum_type=md5 HTTP/1.1" 403 95 "-" "Ruby" XX.XXX.XX.XX - - [10/Dec/2012:14:46:52 +0530] "GET /production/file_metadata/plugins? HTTP/1.1" 403 93 "-" "Ruby" XX.XXX.XX.XX - - [10/Dec/2012:14:46:53 +0530] "POST /production/catalog/blramisr195602.XXXXX.com HTTP/1.1" 403 106 "-" "Ruby" XX.XXX.XX.XX - - [10/Dec/2012:14:46:53 +0530] "PUT /production/report/blramisr195602.XXXXX.com HTTP/1.1" 403 105 "-" "Ruby" thefile server conf file is as follows (and goin by what they say on puppet site, It is better to regulate access in auth.conf for reaching file server and then allow file server to server all) [files] path /apps/puppet/files allow * [private] path /apps/puppet/private/%H allow * [modules] allow * I am using server and client version 3 Nginx has been compiled using the following options nginx version: nginx/1.3.9 built by gcc 4.4.6 20120305 (Red Hat 4.4.6-4) (GCC) TLS SNI support enabled configure arguments: --prefix=/apps/nginx --conf-path=/apps/nginx/nginx.conf --pid-path=/apps/nginx/run/nginx.pid --error-log-path=/apps/nginx/logs/error.log --http-log-path=/apps/nginx/logs/access.log --with-http_ssl_module --with-http_gzip_static_module --add-module=/usr/lib/ruby/gems/1.8/gems/passenger-3.0.18/ext/nginx --add-module=/apps/Downloads/nginx/nginx-auth-ldap-master/ and the standard nginx puppet master conf server { ssl on; listen 8140 ssl; server_name _; passenger_enabled on; passenger_set_cgi_param HTTP_X_CLIENT_DN $ssl_client_s_dn; passenger_set_cgi_param HTTP_X_CLIENT_VERIFY $ssl_client_verify; passenger_min_instances 5; access_log logs/puppet_access.log; error_log logs/puppet_error.log; root /apps/nginx/html/rack/public; ssl_certificate /var/lib/puppet/ssl/certs/bangvmpllda02.XXXXXX.com.pem; ssl_certificate_key /var/lib/puppet/ssl/private_keys/bangvmpllda02.XXXXXX.com.pem; ssl_crl /var/lib/puppet/ssl/ca/ca_crl.pem; ssl_client_certificate /var/lib/puppet/ssl/certs/ca.pem; ssl_ciphers SSLv2:-LOW:-EXPORT:RC4+RSA; ssl_prefer_server_ciphers on; ssl_verify_client optional; ssl_verify_depth 1; ssl_session_cache shared:SSL:128m; ssl_session_timeout 5m; } Puppet is picking up the correct settings from the files mentioned because config print command points to /etc/puppet [amisr1@bangvmpllDA02 puppet]$ sudo puppet config print | grep conf async_storeconfigs = false authconfig = /etc/puppet/namespaceauth.conf autosign = /etc/puppet/autosign.conf catalog_cache_terminus = store_configs confdir = /etc/puppet config = /etc/puppet/puppet.conf config_file_name = puppet.conf config_version = "" configprint = all configtimeout = 120 dblocation = /var/lib/puppet/state/clientconfigs.sqlite3 deviceconfig = /etc/puppet/device.conf fileserverconfig = /etc/puppet/fileserver.conf genconfig = false hiera_config = /etc/puppet/hiera.yaml localconfig = /var/lib/puppet/state/localconfig name = config rest_authconfig = /etc/puppet/auth.conf storeconfigs = true storeconfigs_backend = puppetdb tagmap = /etc/puppet/tagmail.conf thin_storeconfigs = false I checked the firewall rules on this VM; 80, 443, 8140, 3000 are allowed. Do I still have to tweak any specifics to auth.conf for getting this to work? Update I added verbose logging to the puppet master and restarted nginx; here's the additional info I see in logs Mon Dec 10 18:19:15 +0530 2012 Puppet (err): Could not resolve 10.209.47.31: no name for 10.209.47.31 Mon Dec 10 18:19:15 +0530 2012 access[/] (info): defaulting to no access for 10.209.47.31 Mon Dec 10 18:19:15 +0530 2012 Puppet (warning): Denying access: Forbidden request: 10.209.47.31(10.209.47.31) access to /file_metadata/plugins [find] at :111 Mon Dec 10 18:19:15 +0530 2012 Puppet (err): Forbidden request: 10.209.47.31(10.209.47.31) access to /file_metadata/plugins [find] at :111 10.209.47.31 - - [10/Dec/2012:18:19:15 +0530] "GET /production/file_metadata/plugins? HTTP/1.1" 403 93 "-" "Ruby" On the agent machine facter fqdn and hostname both return a fully qualified host name [amisr1@blramisr195602 ~]$ sudo facter fqdn blramisr195602.XXXXXXX.com I then updated the agent configuration to add dns_alt_names = 10.209.47.31 cleaned all certificates on master and agent and regenerated the certificates and signed them on master using the option --allow-dns-alt-names [amisr1@bangvmpllDA02 ~]$ sudo puppet cert sign blramisr195602.XXXXXX.com Error: CSR 'blramisr195602.XXXXXX.com' contains subject alternative names (DNS:10.209.47.31, DNS:blramisr195602.XXXXXX.com), which are disallowed. Use `puppet cert --allow-dns-alt-names sign blramisr195602.XXXXXX.com` to sign this request. [amisr1@bangvmpllDA02 ~]$ sudo puppet cert --allow-dns-alt-names sign blramisr195602.XXXXXX.com Signed certificate request for blramisr195602.XXXXXX.com Removing file Puppet::SSL::CertificateRequest blramisr195602.XXXXXX.com at '/var/lib/puppet/ssl/ca/requests/blramisr195602.XXXXXX.com.pem' however, that doesn't help either; I get same errors as before. Not sure why in the logs it shows comparing access rules by IP and not hostname. Is there any Nginx configuration to change this behavior?

    Read the article

  • Passenger throwing undefined method `-@' for "master":String after Puppet 3.0.0 upgrade

    - by Andy Shinn
    My Puppet master is using Passenger to serve. After upgrading to Puppet 3.0.0 I am getting the following error: [ pid=17576 thr=70231398486460 file=utils.rb:176 time=2012-10-01 17:37:12.892 ]: *** Exception NoMethodError in PhusionPassenger::Rack::ApplicationSpawner (undefined method `-@' for "master":String) (process 17576, thread #): from config.ru:7 from /usr/lib/ruby/gems/1.8/gems/rack-1.4.1/lib/rack/builder.rb:51:in `instance_eval' from /usr/lib/ruby/gems/1.8/gems/rack-1.4.1/lib/rack/builder.rb:51:in `initialize' from config.ru:1:in `new' from config.ru:1 My config.ru is as follows: # a config.ru, for use with every rack-compatible webserver. # SSL needs to be handled outside this, though. # if puppet is not in your RUBYLIB: # $LOAD_PATH.unshift('/opt/puppet/lib') $0 = "master" # if you want debugging: # ARGV << "--debug" ARGV << "--rack" # Rack applications typically don't start as root. Set --confdir to prevent # reading configuration from ~/.puppet/puppet.conf ARGV << "--confdir" << "/etc/puppet" # NOTE: it's unfortunate that we have to use the "CommandLine" class # here to launch the app, but it contains some initialization logic # (such as triggering the parsing of the config file) that is very # important. We should do something less nasty here when we've # gotten our API and settings initialization logic cleaned up. # # Also note that the "$0 = master" line up near the top here is # the magic that allows the CommandLine class to know that it's # supposed to be running master. # # --cprice 2012-05-22 require 'puppet/util/command_line' # we're usually running inside a Rack::Builder.new {} block, # therefore we need to call run *here*. run Puppet::Util::CommandLine.new.execute Any idea what may be happening?

    Read the article

  • Sporadic crash of master-slave MySQL replication process

    - by obarshay
    Hello, I was wondering if someone has experienced this and can perhaps provide some insight into this issue. We have a plan-vanilla MySQL master-slave replication set up. The tables are MyISAM and the master can get quite read/write active. We use the slave instance to perform full daily backups in order to avoid bringing down the master server. The backup process does the following: STOP SLAVE SQL_THREAD mysqlhotcopy all tables START SLAVE SQL_THREAD Every once in a while (once a month or so) the replication breaks with varying error messages indicating a corrupt query or log file. Here's one that happened last night: mysql> show slave status \G *************************** 1. row *************************** Slave_IO_State: Waiting for master to send event Master_Host: server8.propreports.com Master_User: nexus8 Master_Port: 3306 Connect_Retry: 60 Master_Log_File: bin.000045 Read_Master_Log_Pos: 581644327 Relay_Log_File: relay.000086 Relay_Log_Pos: 94131 Relay_Master_Log_File: bin.000045 Slave_IO_Running: Yes Slave_SQL_Running: No Replicate_Do_DB: Replicate_Ignore_DB: Replicate_Do_Table: Replicate_Ignore_Table: Replicate_Wild_Do_Table: Replicate_Wild_Ignore_Table: Last_Errno: 1064 Last_Error: Error 'You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near '138070603'£' at line 1' on query. Default database: 'wtsdb'. Query: 'UPDATE fill SET clearing_fee='0.0E id='138070603'£' Skip_Counter: 0 Exec_Master_Log_Pos: 4164743 Relay_Log_Space: 577574251 Until_Condition: None Until_Log_File: Until_Log_Pos: 0 Master_SSL_Allowed: No Master_SSL_CA_File: Master_SSL_CA_Path: Master_SSL_Cert: Master_SSL_Cipher: Master_SSL_Key: Seconds_Behind_Master: NULL I follow the following procedure to recover from above error and resume replication: stop slave; change master to MASTER_LOG_POS = 4164743, MASTER_LOG_FILE = 'bin.000045'; start slave; We have multiple servers set up this way and they all sporadically stop replicating with a similar error. Any advice on how to resolve this would be greatly appreciated.

    Read the article

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

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

    Read the article

  • Host not visible in ECC after pushing master agent on server

    - by wildchild
    Hi all!! ECC master Agent has been pushed to one of the servers.. Once a Master Agent installed the host should appear within ECC.However, I am unable to see the host. I asked the Server team to stop and start the master agent ,and to check whether required port is enabled, so that server can talk with ECC server. After restarting the service I get an error.I even checked if the port is used by any other service ,it is not.. Somebody plz help what should done here..it’s a Windows server. Here's the error:- "The EMC control Center Master agent service on local computer atrted and the stopped.Some services stopped automatically if they 've no work to do,for example prformance logs and alert services" Thanks in advance!!

    Read the article

  • Windows authenticated users have lost access to master (default) database

    - by Rob Nicholson
    Something very strange has occurred on our production SQL database. Users connecting via Windows authentication appear to have lost all access to the master database. By default, all logins have the default database set to master. So when you connect using SQL Server management studio, they get the error: "Cannot open user default database. Login failed error 4064". What's also worrying is that we have a group called "COMPANY - SQL Administrator" which has sysadmin rights and users in this group also get the same error. Worse, they don't appear to be system administrators anymore... If they change their default database to something else, they can connect and then work on the database, it's just the master database that is problematic. I'm not even sure by what mechanism windows authenticated users get access to the master database. Is it something hard coded in or some property that's got changed? Any ideas? Cheers, Rob.

    Read the article

  • Filter data in sheets from a master sheet

    - by sam
    I have a 'master sheet' with lots of furniture data in it, in column A there are the suppliers names. What I would like is to be able to have my master sheet with all the info and then sub sheets named by supplier; in these sub sheets I would like to reference the master sheet and pull out all of the items that are from that supplier. For example: I would have a sheet called 'Ikea' which would look in the master sheet and search the A column for all entries of 'Ikea'. If present, copy or reference that row 1:12 in the 'ikea' sheet. I would like to do it all dynamically using references rather than copying the data. Also, I would like it to auto update rather than having to run a macro to recalculate it each time. Can this be done with formulars rather than macros?

    Read the article

  • Configure fallback redis server

    - by snøreven
    I am using redis as a cache server. Can I somehow configure multiple redis servers, that the cache is fully functional (read/write) even if some of them go offline? I looked into master-slave, but the problem I see there is, that if the master fails, and I allow writes to the slaves, they get overwritten once the master is up again. Now the master just serves the old data. The only solution I could come up was disabling write-to-disc, but that sucks as I loose everything if I have to restart the master. And I guess, slaves wouldn't be synced anymore if the master is gone.

    Read the article

  • Master does not appear to be a git repository error

    - by EmmyS
    I've inherited a position and instructions for creating a new git repository. Unfortunately I've run into problems and no one here knows what to do. Hoping someone can help me out. Here are the instructions I was left: Create a new repository: For these steps you need to be in the gitosis-admin repository, if you don't have it, in a suitable parent folder do: git clone [email protected]:gitosis-admin.git Edit gitosis.conf file - in gitosis-admin root, under [group base-repo] section, add the name of the new repo to the end of the "writable =" section. Commit change and push back to gitosis-admin master. For the next commands, my_new_project represents the name of your project mkdir my_new_project cd my_new_project git init Copy in any files you want to use to start the repo git commit -a -m "Initializing new repository" git remote add origin [email protected]:my_new_project.git git push master git push master:qa So I did 1 and 2, with no problem. It created a local folder on my machine called gitosis-admin. I edited the gitosis.conf file as indicated. But when I try to do step 3 (which I assume is git push gitosis-admin master) bash tells me that fatal: 'master' does not appear to be a git repository fatal: The remote end hung up unexpectedly What am I doing wrong?

    Read the article

  • SQL query to return a data that both creteria exist in one table

    - by Ali
    Dear all, I have a TWO tables of data with following fields table1=(ITTAG,ITCODE,ITDESC,SUPcode) table2=(ACCODE,ACNAME,ROUTE,SALMAN) this my customer master tables that contains my customer data such as customer code, customer name and so on... Every Route has a supervisor(table1=supcode) and I need to know supervisor name in my table which both supervisor name and code exist in one table. table1 has contain all names separated by ITTAG. for example, supervisor name's ITTAG='K' also salesamn name's ITTAG='S'. ITTAG ITCODE ITDESC SUPCODE ------ ------ ------ ------- S JT JOHN TOMAS TF K WK VIKI KOO NULL NOW THIS IS A RESULT WHICH I WANT ACCODE ACNAME ROUTE SALEMANNAME SUPERVISORNAME ------- ------ ------ ------------ --------------- IMC1010 ABC HOTEL 01 JOHN TOMAS VIKI KOO i hope this this information is sufficient to get the query.. Thanks Ali

    Read the article

  • MySQL Query Cache

    - by BRADINO
    According to MySQL.com the query cache stores the text of a SELECT statement together with the corresponding result that was sent to the client. If an identical statement is received later, the server retrieves the results from the query cache rather than parsing and executing the statement again. The query cache is shared among sessions, so a result set generated by one client can be sent in response to the same query issued by another client. Purely hypothetical example: SELECT `name` FROM `beers` WHERE `favorite` = true To force the database NOT to give you a cached result simply add SQL_NO_CACHE to the query: SELECT SQL_NO_CACHE `name` FROM `beers` WHERE `favorite` = true mysql query cache sql no cache mysql nocache

    Read the article

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

< Previous Page | 23 24 25 26 27 28 29 30 31 32 33 34  | Next Page >