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  • SQL SERVER – DMV – sys.dm_os_waiting_tasks and sys.dm_exec_requests – Wait Type – Day 4 of 28

    - by pinaldave
    Previously, we covered the DMV sys.dm_os_wait_stats, and also saw how it can be useful to identify the major resource bottleneck. However, at the same time, we discussed that this is only useful when we are looking at an instance-level picture. Quite often we want to know about the processes going in our server at the given instant. Here is the query for the same. This DMV is written taking the following into consideration: we want to analyze the queries that are currently running or which have recently ran and their plan is still in the cache. SELECT dm_ws.wait_duration_ms, dm_ws.wait_type, dm_es.status, dm_t.TEXT, dm_qp.query_plan, dm_ws.session_ID, dm_es.cpu_time, dm_es.memory_usage, dm_es.logical_reads, dm_es.total_elapsed_time, dm_es.program_name, DB_NAME(dm_r.database_id) DatabaseName, -- Optional columns dm_ws.blocking_session_id, dm_r.wait_resource, dm_es.login_name, dm_r.command, dm_r.last_wait_type FROM sys.dm_os_waiting_tasks dm_ws INNER JOIN sys.dm_exec_requests dm_r ON dm_ws.session_id = dm_r.session_id INNER JOIN sys.dm_exec_sessions dm_es ON dm_es.session_id = dm_r.session_id CROSS APPLY sys.dm_exec_sql_text (dm_r.sql_handle) dm_t CROSS APPLY sys.dm_exec_query_plan (dm_r.plan_handle) dm_qp WHERE dm_es.is_user_process = 1 GO You can change CROSS APPLY to OUTER APPLY if you want to see all the details which are omitted because of the plan cache. Let us analyze the result of the above query and see how it can be helpful to identify the query and the kind of wait type it creates. Click to Enlarage The above query will return various columns. There are various columns that provide very important details. e.g. wait_duration_ms – it indicates current wait for the query that executes at that point of time. wait_type – it indicates the current wait type for the query text – indicates the query text query_plan – when clicked on the same, it will display the query plans There are many other important information like CPU_time, memory_usage, and logical_reads, which can be read from the query as well. In future posts on this series, we will see how once identified wait type we can attempt to reduce the same. Read all the post in the Wait Types and Queue series. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: DMV, Pinal Dave, PostADay, SQL, SQL Authority, SQL DMV, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • SQL SERVER – Quiz and Video – Introduction to Discovering XML Data Type Methods

    - by pinaldave
    This blog post is inspired from SQL Interoperability Joes 2 Pros: A Guide to Integrating SQL Server with XML, C#, and PowerShell – SQL Exam Prep Series 70-433 – Volume 5. [Amazon] | [Flipkart] | [Kindle] | [IndiaPlaza] This is follow up blog post of my earlier blog post on the same subject - SQL SERVER – Introduction to Discovering XML Data Type Methods – A Primer. In the article we discussed various basics terminology of the XML. The article further covers following important concepts of XML. What are XML Data Type Methods The query() Method The value() Method The exist() Method The modify() Method Above five are the most important concepts related to XML and SQL Server. There are many more things one has to learn but without beginners fundamentals one can’t learn the advanced  concepts. Let us have small quiz and check how many of you get the fundamentals right. Quiz 1.) Which method returns an XML fragment from the source XML? query( ) value( ) exist( ) modify( ) All of them Only query( ) and value( ) 2.) Which XML data type method returns a “1” if found and “0” if the specified XPath is not found in the source XML? query( ) value( ) exist( ) modify( ) All of them Only query( ) and value( ) 3.) Which XML data type method allows you to pick the data type of the value that is returned from the source XML? query( ) value( ) exist( ) modify( ) All of them Only query( ) and value( ) 4.) Which method will not work with a SQL SELECT statement? query( ) value( ) exist( ) modify( ) All of them Only query( ) and value( ) Now make sure that you write down all the answers on the piece of paper. Watch following video and read earlier article over here. If you want to change the answer you still have chance. Solution 1) 1 2) 3 3) 2 4) 4 Now compare let us check the answers and compare your answers to following answers. I am very confident you will get them correct. Available at USA: Amazon India: Flipkart | IndiaPlaza Volume: 1, 2, 3, 4, 5 Please leave your feedback in the comment area for the quiz and video. Did you know all the answers of the quiz? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Joes 2 Pros, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Rails Rake Error with XAMPP mysql database

    - by edu222
    I have installed XAAMP on my win7 machine and I have the apache server/mysql running on there. I set up rails to work with XAmpp as described here: XAMPP and RAILS This tutorial advises you to add this code to the XAMPP httpd.connf : Listen 3000 LoadModule rewrite_module modules/mod_rewrite.so ################################# # RUBY SETUP ################################# <virtualHost *:3000> ServerName rails DocumentRoot "c:/xampp/htdocs/FirstProject/public" <Directory "c:/xampp/htdocs/FirstProject/public/"> Options ExecCGI FollowSymLinks AllowOverride all Allow from all Order allow,deny AddHandler cgi-script .cgi AddHandler fastcgi-script .fcgi </Directory> </VirtualHost> ################################# # RUBY SETUP ################################# Xampp runs on the default localhost and mysql remains unchanged without a pw. I created a rails app with a mysql database like this: rails -d mysql C:/xampp/htdocs/FirstProject Then I started the ruby script/server from within the FirstProject location The localhost:3000/ shows the classic rails welcome I then ran a basic scaffold command: ruby script/generate scaffold FirstProject name:string email:string <br/> When I run the rake db:migrate command I get the following error: C:\xampp\htdocs\FirstProject>rake db:migrate --trace (in C:/xampp/htdocs/FirstProject) ** Invoke db:migrate (first_time) ** Invoke environment (first_time) ** Execute environment ** Execute db:migrate rake aborted! undefined method `init' for Mysql:Class C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_a dapters/mysql_adapter.rb:70:in `mysql_connection' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_a dapters/abstract/connection_pool.rb:223:in `send' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_a dapters/abstract/connection_pool.rb:223:in `new_connection' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_a dapters/abstract/connection_pool.rb:245:in `checkout_new_connection' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_a dapters/abstract/connection_pool.rb:188:in `checkout' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_a dapters/abstract/connection_pool.rb:184:in `loop' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_a dapters/abstract/connection_pool.rb:184:in `checkout' C:/Ruby/lib/ruby/1.8/monitor.rb:242:in `synchronize' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_a dapters/abstract/connection_pool.rb:183:in `checkout' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_a dapters/abstract/connection_pool.rb:98:in `connection' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_a dapters/abstract/connection_pool.rb:326:in `retrieve_connection' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_a dapters/abstract/connection_specification.rb:123:in `retrieve_connection' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_a dapters/abstract/connection_specification.rb:115:in `connection' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/migration.rb :435:in `initialize' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/migration.rb :400:in `new' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/migration.rb :400:in `up' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/migration.rb :383:in `migrate' C:/Ruby/lib/ruby/gems/1.8/gems/rails-2.3.5/lib/tasks/databases.rake:116 C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:636:in `call' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:636:in `execute' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:631:in `each' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:631:in `execute' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:597:in `invoke_with_call_c hain' C:/Ruby/lib/ruby/1.8/monitor.rb:242:in `synchronize' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:590:in `invoke_with_call_c hain' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:583:in `invoke' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:2051:in `invoke_task' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:2029:in `top_level' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:2029:in `each' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:2029:in `top_level' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:2068:in `standard_exceptio n_handling' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:2023:in `top_level' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:2001:in `run' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:2068:in `standard_exceptio n_handling' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake.rb:1998:in `run' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.7/bin/rake:31 C:/Ruby/bin/rake:19:in `load' C:/Ruby/bin/rake:19 Any idea on how to fix this? Thanks in advance

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  • Query doesn't use a covering-index when applicable

    - by Dor
    I've downloaded the employees database and executed some queries for benchmarking purposes. Then I noticed that one query didn't use a covering index, although there was a corresponding index that I created earlier. Only when I added a FORCE INDEX clause to the query, it used a covering index. I've uploaded two files, one is the executed SQL queries and the other is the results. Can you tell why the query uses a covering-index only when a FORCE INDEX clause is added? The EXPLAIN shows that in both cases, the index dept_no_from_date_idx is being used anyway. To adapt myself to the standards of SO, I'm also writing the content of the two files here: The SQL queries: USE employees; /* Creating an index for an index-covered query */ CREATE INDEX dept_no_from_date_idx ON dept_emp (dept_no, from_date); /* Show `dept_emp` table structure, indexes and generic data */ SHOW TABLE STATUS LIKE "dept_emp"; DESCRIBE dept_emp; SHOW KEYS IN dept_emp; /* The EXPLAIN shows that the subquery doesn't use a covering-index */ EXPLAIN SELECT SQL_NO_CACHE * FROM dept_emp INNER JOIN ( /* The subquery should use a covering index, but isn't */ SELECT SQL_NO_CACHE emp_no, dept_no FROM dept_emp WHERE dept_no="d001" ORDER BY from_date DESC LIMIT 20000,50 ) AS `der` USING (`emp_no`, `dept_no`); /* The EXPLAIN shows that the subquery DOES use a covering-index, thanks to the FORCE INDEX clause */ EXPLAIN SELECT SQL_NO_CACHE * FROM dept_emp INNER JOIN ( /* The subquery use a covering index */ SELECT SQL_NO_CACHE emp_no, dept_no FROM dept_emp FORCE INDEX(dept_no_from_date_idx) WHERE dept_no="d001" ORDER BY from_date DESC LIMIT 20000,50 ) AS `der` USING (`emp_no`, `dept_no`); The results: -------------- /* Creating an index for an index-covered query */ CREATE INDEX dept_no_from_date_idx ON dept_emp (dept_no, from_date) -------------- Query OK, 331603 rows affected (33.95 sec) Records: 331603 Duplicates: 0 Warnings: 0 -------------- /* Show `dept_emp` table structure, indexes and generic data */ SHOW TABLE STATUS LIKE "dept_emp" -------------- +----------+--------+---------+------------+--------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+-------------+------------+-----------------+----------+----------------+---------+ | Name | Engine | Version | Row_format | Rows | Avg_row_length | Data_length | Max_data_length | Index_length | Data_free | Auto_increment | Create_time | Update_time | Check_time | Collation | Checksum | Create_options | Comment | +----------+--------+---------+------------+--------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+-------------+------------+-----------------+----------+----------------+---------+ | dept_emp | InnoDB | 10 | Compact | 331883 | 36 | 12075008 | 0 | 21544960 | 29360128 | NULL | 2010-05-04 13:07:49 | NULL | NULL | utf8_general_ci | NULL | | | +----------+--------+---------+------------+--------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+-------------+------------+-----------------+----------+----------------+---------+ 1 row in set (0.47 sec) -------------- DESCRIBE dept_emp -------------- +-----------+---------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +-----------+---------+------+-----+---------+-------+ | emp_no | int(11) | NO | PRI | NULL | | | dept_no | char(4) | NO | PRI | NULL | | | from_date | date | NO | | NULL | | | to_date | date | NO | | NULL | | +-----------+---------+------+-----+---------+-------+ 4 rows in set (0.05 sec) -------------- SHOW KEYS IN dept_emp -------------- +----------+------------+-----------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+ | Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | +----------+------------+-----------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+ | dept_emp | 0 | PRIMARY | 1 | emp_no | A | 331883 | NULL | NULL | | BTREE | | | dept_emp | 0 | PRIMARY | 2 | dept_no | A | 331883 | NULL | NULL | | BTREE | | | dept_emp | 1 | emp_no | 1 | emp_no | A | 331883 | NULL | NULL | | BTREE | | | dept_emp | 1 | dept_no | 1 | dept_no | A | 7 | NULL | NULL | | BTREE | | | dept_emp | 1 | dept_no_from_date_idx | 1 | dept_no | A | 13 | NULL | NULL | | BTREE | | | dept_emp | 1 | dept_no_from_date_idx | 2 | from_date | A | 165941 | NULL | NULL | | BTREE | | +----------+------------+-----------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+ 6 rows in set (0.23 sec) -------------- /* The EXPLAIN shows that the subquery doesn't use a covering-index */ EXPLAIN SELECT SQL_NO_CACHE * FROM dept_emp INNER JOIN ( /* The subquery should use a covering index, but isn't */ SELECT SQL_NO_CACHE emp_no, dept_no FROM dept_emp WHERE dept_no="d001" ORDER BY from_date DESC LIMIT 20000,50 ) AS `der` USING (`emp_no`, `dept_no`) -------------- +----+-------------+------------+--------+----------------------------------------------+-----------------------+---------+------------------------+-------+-------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+------------+--------+----------------------------------------------+-----------------------+---------+------------------------+-------+-------------+ | 1 | PRIMARY | <derived2> | ALL | NULL | NULL | NULL | NULL | 50 | | | 1 | PRIMARY | dept_emp | eq_ref | PRIMARY,emp_no,dept_no,dept_no_from_date_idx | PRIMARY | 16 | der.emp_no,der.dept_no | 1 | | | 2 | DERIVED | dept_emp | ref | dept_no,dept_no_from_date_idx | dept_no_from_date_idx | 12 | | 21402 | Using where | +----+-------------+------------+--------+----------------------------------------------+-----------------------+---------+------------------------+-------+-------------+ 3 rows in set (0.09 sec) -------------- /* The EXPLAIN shows that the subquery DOES use a covering-index, thanks to the FORCE INDEX clause */ EXPLAIN SELECT SQL_NO_CACHE * FROM dept_emp INNER JOIN ( /* The subquery use a covering index */ SELECT SQL_NO_CACHE emp_no, dept_no FROM dept_emp FORCE INDEX(dept_no_from_date_idx) WHERE dept_no="d001" ORDER BY from_date DESC LIMIT 20000,50 ) AS `der` USING (`emp_no`, `dept_no`) -------------- +----+-------------+------------+--------+----------------------------------------------+-----------------------+---------+------------------------+-------+--------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+------------+--------+----------------------------------------------+-----------------------+---------+------------------------+-------+--------------------------+ | 1 | PRIMARY | <derived2> | ALL | NULL | NULL | NULL | NULL | 50 | | | 1 | PRIMARY | dept_emp | eq_ref | PRIMARY,emp_no,dept_no,dept_no_from_date_idx | PRIMARY | 16 | der.emp_no,der.dept_no | 1 | | | 2 | DERIVED | dept_emp | ref | dept_no_from_date_idx | dept_no_from_date_idx | 12 | | 37468 | Using where; Using index | +----+-------------+------------+--------+----------------------------------------------+-----------------------+---------+------------------------+-------+--------------------------+ 3 rows in set (0.05 sec) Bye

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  • Mysql - help me optimize this query (improved question)

    - by sandeepan-nath
    About the system: - There are tutors who create classes and packs - A tags based search approach is being followed.Tag relations are created when new tutors register and when tutors create packs (this makes tutors and packs searcheable). For details please check the section How tags work in this system? below. Following is the concerned query SELECT SUM(DISTINCT( t.tag LIKE "%Dictatorship%" )) AS key_1_total_matches, SUM(DISTINCT( t.tag LIKE "%democracy%" )) AS key_2_total_matches, COUNT(DISTINCT( od.id_od )) AS tutor_popularity, CASE WHEN ( IF(( wc.id_wc > 0 ), ( wc.wc_api_status = 1 AND wc.wc_type = 0 AND wc.class_date > '2010-06-01 22:00:56' AND wccp.status = 1 AND ( wccp.country_code = 'IE' OR wccp.country_code IN ( 'INT' ) ) ), 0) ) THEN 1 ELSE 0 END AS 'classes_published', CASE WHEN ( IF(( lp.id_lp > 0 ), ( lp.id_status = 1 AND lp.published = 1 AND lpcp.status = 1 AND ( lpcp.country_code = 'IE' OR lpcp.country_code IN ( 'INT' ) ) ), 0) ) THEN 1 ELSE 0 END AS 'packs_published', td . *, u . * FROM tutor_details AS td JOIN users AS u ON u.id_user = td.id_user LEFT JOIN learning_packs_tag_relations AS lptagrels ON td.id_tutor = lptagrels.id_tutor LEFT JOIN learning_packs AS lp ON lptagrels.id_lp = lp.id_lp LEFT JOIN learning_packs_categories AS lpc ON lpc.id_lp_cat = lp.id_lp_cat LEFT JOIN learning_packs_categories AS lpcp ON lpcp.id_lp_cat = lpc.id_parent LEFT JOIN learning_pack_content AS lpct ON ( lp.id_lp = lpct.id_lp ) LEFT JOIN webclasses_tag_relations AS wtagrels ON td.id_tutor = wtagrels.id_tutor LEFT JOIN webclasses AS wc ON wtagrels.id_wc = wc.id_wc LEFT JOIN learning_packs_categories AS wcc ON wcc.id_lp_cat = wc.id_wp_cat LEFT JOIN learning_packs_categories AS wccp ON wccp.id_lp_cat = wcc.id_parent LEFT JOIN order_details AS od ON td.id_tutor = od.id_author LEFT JOIN orders AS o ON od.id_order = o.id_order LEFT JOIN tutors_tag_relations AS ttagrels ON td.id_tutor = ttagrels.id_tutor JOIN tags AS t ON ( t.id_tag = ttagrels.id_tag ) OR ( t.id_tag = lptagrels.id_tag ) OR ( t.id_tag = wtagrels.id_tag ) WHERE ( u.country = 'IE' OR u.country IN ( 'INT' ) ) AND CASE WHEN ( ( t.id_tag = lptagrels.id_tag ) AND ( lp.id_lp 0 ) ) THEN lp.id_status = 1 AND lp.published = 1 AND lpcp.status = 1 AND ( lpcp.country_code = 'IE' OR lpcp.country_code IN ( 'INT' ) ) ELSE 1 END AND CASE WHEN ( ( t.id_tag = wtagrels.id_tag ) AND ( wc.id_wc 0 ) ) THEN wc.wc_api_status = 1 AND wc.wc_type = 0 AND wc.class_date '2010-06-01 22:00:56' AND wccp.status = 1 AND ( wccp.country_code = 'IE' OR wccp.country_code IN ( 'INT' ) ) ELSE 1 END AND CASE WHEN ( od.id_od 0 ) THEN od.id_author = td.id_tutor AND o.order_status = 'paid' AND CASE WHEN ( od.id_wc 0 ) THEN od.can_attend_class = 1 ELSE 1 END ELSE 1 END GROUP BY td.id_tutor HAVING key_1_total_matches = 1 AND key_2_total_matches = 1 ORDER BY tutor_popularity DESC, u.surname ASC, u.name ASC LIMIT 0, 20 The problem The results returned by the above query are correct (AND logic working as per expectation), but the time taken by the query rises alarmingly for heavier data and for the current data I have it is like 25 seconds as against normal query timings of the order of 0.005 - 0.0002 seconds, which makes it totally unusable. It is possible that some of the delay is being caused because all the possible fields have not yet been indexed. The tag field of tags table is indexed. Is there something faulty with the query? What can be the reason behind 20+ seconds of execution time? How tags work in this system? When a tutor registers, tags are entered and tag relations are created with respect to tutor's details like name, surname etc. When a Tutors create packs, again tags are entered and tag relations are created with respect to pack's details like pack name, description etc. tag relations for tutors stored in tutors_tag_relations and those for packs stored in learning_packs_tag_relations. All individual tags are stored in tags table. The explain query output:- Please see this screenshot - http://www.test.examvillage.com/Explain_query.jpg

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  • Will removing unused query string parameters negatively affect SEO?

    - by trm
    Will changing links to remove query string parameters that are no longer used have any negative impact on search engine rankings? Say I have a page about.php on my site, and all of my links to this page are of the form http://www.example.com/about.php?foo=bar and I've made some changes to the script such that the parameter foo is no longer used. I would like to remove the unused parameter from the links so the URL will look cleaner, but I am concerned that this could cause problems with SEO. Is it safe to remove ?foo=bar from my links?

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  • MySQL Replication Error

    - by Ian
    I recently updated my master server to 5.1.41 and noticed that the slave was no longer replicating. It was returning this erorr: 091208 12:53:31 [ERROR] Slave I/O: error connecting to master '[email protected]:3306' - retry-time: 10 retries: 86400, Error_code: 2026 091208 12:53:41 [ERROR] Slave I/O: error connecting to master '[email protected]:3306' - retry-time: 10 retries: 86400, Error_code: 1045 The first error is apparently an SSL error, followed by auth denied.. Thing is, I haven't touched my SSL key or user access in months (and the key is fine, since I'm using the same one on that machine to replicate from other master servers.. Any ideas? Edit: Months later, I've tried with 5.1.44 and the problem is persisting. When I roll back to 5.1.39 replication works great... I guess I can't use anything newer than 5.1.39....

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  • SASL (Postfix) authentication with MySQL and Blowfish pre-encrypted passwords

    - by webo
    I have a Rails app with the Devise authentication gem running user registration and login. I want to use the db table that Devise populates when a user registers as the table that Postfix uses to authenticate users. The table has all the fields that Postfix may want for SASL authentication except that Devise encrypts the password using Blowfish before placing it in the database. How could I go about getting Postfix/SASL to decrypt those passwords so that the user can be authenticated properly? Devise salts the password so I'm not sure if that helps. Any suggestions? I'd likely want to do something similar with Dovecot or Courier, I'm not attached to one quite yet.

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  • MySQL Table does not support optimize

    - by Dscoduc
    My Wordpress tables appear to be in need of optimization so I looked into the commmand OPTIMIZE TABLE . When I run the command I get the following results: Table does not support optimize, doing recreate + analyze instead The tables are built using the Wordpress 2.91 installer and haven't been modified at all. Is this normal? How can I optimize my database to keep things working correctly?

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  • How to enable telnet with port 3306 during Master to master replication on MySQL Server

    - by Mainio
    I am trying to do Master to Master Replication in Windows Server 2008. I am successfully able to replicate all the database of Master 1 to Master 2. But I am unable to replicate the changes made on Master 2 to Master 1. Later on I found that, I can telnet to Master 1 from Master 2 with port 3306 but I am not able on telnet from Master 1 to Master 2. When I check netstat on both Master. I found the following result. I couldn't publish my public IP so I put name as Master 1 and Master 2 for their respective IP Master 1 C:\Users\XXXXX>netstat Active Connections Proto Local Address Foreign Address State TCP Master 1:3306 Master 2:61566 ESTABLISHED TCP Master 1:3389 My remote:56053 ESTABLISHED TCP 127.0.0.1:3306 Master 1:60675 ESTABLISHED TCP 127.0.0.1:3306 Master 1:60712 ESTABLISHED TCP 127.0.0.1:60675 Master 1:3306 ESTABLISHED TCP 127.0.0.1:60712 Master 1:3306 ESTABLISHED Master 2 C:\Users\XXXX>netstat Active Connections Proto Local Address Foreign Address State TCP Master 2:3389 My remote:56124 ESTABLISHED TCP Master 2:61566 Master 1:3306 ESTABLISHED TCP Master 2:61574 bil-sc-cm02:http ESTABLISHED TCP 127.0.0.1:3306 Master 2:61562 ESTABLISHED TCP 127.0.0.1:3306 Master 2:61563 ESTABLISHED TCP 127.0.0.1:61562 Master 2:3306 ESTABLISHED TCP 127.0.0.1:61563 Master 2:3306 ESTABLISHED TCP 127.0.0.1:61573 Master 2:3306 TIME_WAIT All shows that In my master 2, port 3306 is not activate. Now I need solution over here. How can I figure it. Your small suggestion would be million for me. Thank you Regards, Udhyan

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  • Purpose of "computer" section in MySQL Cluster 7.2?

    - by dpk
    According to the cluster documentation, you can either define data nodes with: [ndbd] NodeId=n HostName=1.2.3.4 or [ndbd] NodeId=n ExecuteOnComputer=m [computer] Id=m HostName=1.2.3.4 I don't see a substantial difference between the two. The documentation has this to say: The [computer] section has no real significance other than serving as a way to avoid the need of defining host names for each node in the system. I'm stumped. If I have to define a hostname, what benefit is there to defining it in [computer] instead of [ndbd]?

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  • Setting a time limit for a transaction in MySQL/InnoDB

    - by Trevor Burnham
    This sprang from this related question, where I wanted to know how to force two transactions to occur sequentially in a trivial case (where both are operating on only a single row). I got an answer—use SELECT ... FOR UPDATE as the first line of both transactions—but this leads to a problem: If the first transaction is never committed or rolled back, then the second transaction will be blocked indefinitely. The innodb_lock_wait_timeout variable sets the number of seconds after which the client trying to make the second transaction would be told "Sorry, try again"... but as far as I can tell, they'd be trying again until the next server reboot. So: Surely there must be a way to force a ROLLBACK if a transaction is taking forever? Must I resort to using a daemon to kill such transactions, and if so, what would such a daemon look like? If a connection is killed by wait_timeout or interactive_timeout mid-transaction, is the transaction rolled back? Is there a way to test this from the console? Clarification: innodb_lock_wait_timeout sets the number of seconds that a transaction will wait for a lock to be released before giving up; what I want is a way of forcing a lock to be released. Update: Here's a simple example that demonstrates why innodb_lock_wait_timeout is not sufficient to ensure that the second transaction is not blocked by the first: START TRANSACTION; SELECT SLEEP(55); COMMIT; With the default setting of innodb_lock_wait_timeout = 50, this transaction completes without errors after 55 seconds. And if you add an UPDATE before the SLEEP line, then initiate a second transaction from another client that tries to SELECT ... FOR UPDATE the same row, it's the second transaction that times out, not the one that fell asleep. What I'm looking for is a way to force an end to this transaction's restful slumber.

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  • Need help tuning Mysql and linux server

    - by Newtonx
    We have multi-user application (like MailChimp,Constant Contact) . Each of our customers has it's own contact's list (from 5 to 100.000 contacts). Everything is stored in one BIG database (currently 25G). Since we released our product we have the following data history. 5 years of data history : - users/customers (200+) - contacts (40 million records) - campaigns - campaign_deliveries (73.843.764 records) - campaign_queue ( 8 millions currently ) As we get more users and table records increase our system/web app is getting slower and slower . Some queries takes too long to execute . SCHEMA Table contacts --------------------+------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +---------------------+------------------+------+-----+---------+----------------+ | contact_id | int(10) unsigned | NO | PRI | NULL | auto_increment | | client_id | int(10) unsigned | YES | | NULL | | | name | varchar(60) | YES | | NULL | | | mail | varchar(60) | YES | MUL | NULL | | | verified | int(1) | YES | | 0 | | | owner | int(10) unsigned | NO | MUL | 0 | | | date_created | date | YES | MUL | NULL | | | geolocation | varchar(100) | YES | | NULL | | | ip | varchar(20) | YES | MUL | NULL | | +---------------------+------------------+------+-----+---------+----------------+ Table campaign_deliveries +---------------+------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +---------------+------------------+------+-----+---------+----------------+ | id | int(11) | NO | PRI | NULL | auto_increment | | newsletter_id | int(10) unsigned | NO | MUL | 0 | | | contact_id | int(10) unsigned | NO | MUL | 0 | | | sent_date | date | YES | MUL | NULL | | | sent_time | time | YES | MUL | NULL | | | smtp_server | varchar(20) | YES | | NULL | | | owner | int(5) | YES | MUL | NULL | | | ip | varchar(20) | YES | MUL | NULL | | +---------------+------------------+------+-----+---------+----------------+ Table campaign_queue +---------------+------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +---------------+------------------+------+-----+---------+----------------+ | queue_id | int(10) unsigned | NO | PRI | NULL | auto_increment | | newsletter_id | int(10) unsigned | NO | MUL | 0 | | | owner | int(10) unsigned | NO | MUL | 0 | | | date_to_send | date | YES | | NULL | | | contact_id | int(11) | NO | MUL | NULL | | | date_created | date | YES | | NULL | | +---------------+------------------+------+-----+---------+----------------+ Slow queries LOG -------------------------------------------- Query_time: 350 Lock_time: 1 Rows_sent: 1 Rows_examined: 971004 SELECT COUNT(*) as total FROM contacts WHERE (contacts.owner = 70 AND contacts.verified = 1); Query_time: 235 Lock_time: 1 Rows_sent: 1 Rows_examined: 4455209 SELECT COUNT(*) as total FROM contacts WHERE (contacts.owner = 2); How can we optimize it ? Queries should take no more than 30 secs to execute? Can we optimize it and keep all data in one BIG database or should we change app's structure and set one single database to each user ? Thanks

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  • trouble backing up large mysql database

    - by Patrick
    I have a wordpress MU database with something like 10,000+ tables for various user's blogs. I need to upgrade wordpress MU to newest version, but want to backup the DB before hand. PHPMyAdmin fails to even load the page when i click export. Ive tried going into the server (windows) and using dos command line: mysqldump -u USERNAME -p PASSWORD> BACKUP.sql but it hangs for a minute and gives me the error: error 23: out of resources when opinging file '.\USERNAME\wp_1037_links.MYD' (Errorcode: 24) when using LOCK Tables What am i doing wrong, or should i be doing? Is PHPMyAdmin right for something this size? Is there a better way of doing this than the two methods i tried? **Note that this is not my site, so any suggestions as to the setup of the DB ill have to run by the owner. Im just here for WP related crap, this is kind of out of scope for what i was brought on to do.

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  • What files to backup on Lighttpd+MySQL+PHP server

    - by Tomaszs
    I have a VPS with CentOS 5. I would like to create backup of: all my config files tweaks of database, php, server a databases cron settings website files installed applications and their settings (?) What files should i take into account? I don't want to miss any file that will be necessary to restore fast my webserver in case of any failure. And I don't want to create whole backup because entire VPS has like 30 GB of data.

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  • Postfix : error: unsupported dictionary type: mysql

    - by flavio.troja
    I've a problem w/ postfix problem: # tail -f /var/log/mail.err Aug 20 17:57:50 myserver postfix/smtpd[8243]: error: unsupported dictionary type: mysql Aug 20 17:57:50 myserver postfix/smtpd[8243]: error: unsupported dictionary type: mysql Aug 20 17:58:05 myserver postfix/smtpd[8244]: error: unsupported dictionary type: mysql Aug 20 17:58:05 myserver postfix/smtpd[8244]: error: unsupported dictionary type: mysql Aug 20 18:00:38 myserver postfix/smtpd[8277]: error: unsupported dictionary type: mysql Aug 20 18:00:38 myserver postfix/smtpd[8277]: error: unsupported dictionary type: mysql Aug 20 18:03:32 myserver postfix/smtpd[8320]: error: unsupported dictionary type: mysql Aug 20 18:03:32 myserver postfix/smtpd[8320]: error: unsupported dictionary type: mysql Aug 20 18:03:33 myserver postfix/trivial-rewrite[8322]: error: unsupported dictionary type: mysql Aug 20 18:03:33 myserver postfix/trivial-rewrite[8322]: error: unsupported dictionary type: mysql idea?

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  • Ways to go about optimizing website performance WordPress, Amazon EC2 Apache and RDS MySQL

    - by fuzzybee
    I have 6 WordPress websites running on 1 single EC2 instance. All the the websites are connecting to databases in 1 same RDS instance. Earlier today, traffic to the largest website peaked and the RDS instance went bottle-neck - CPU utilization was 100% for over an hour. It affected all of my websites as it took them all forever to load. In order to prevent such issue from happening again, which of the following will matter most so that I invest time and effort in first of all? (I will work on all later, I just need to prioritise now) To improve caching for all websites To fine-tune the database server To fine-tune my Apache server What will be the effect on user experience for my websites? Some quick searches show that I should limit number of concurrent connections to my web server but wouldn't that prevent users from accessing my websites? More background: My largest website has 140k visits and 660k page views a month. The other 5 websites should add up much less than that. I'm using a large EC2 instance as the web server I'm using a medium RDS instance as the database server What I've already done: Use W3 Total Cache plugin for caching for most the websites, especially the largest one (I can barely anything else in terms of caching I could do for the largest website) Am I using my resources wastefully or is there simply not enough resources for my websites - or rather, how do I answer that question myself?

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  • Make a snapshot of a live mySQL database with myISAM & innoDB tables without locking

    - by Artem
    We have a live database in production where we are running out of space on the server. So I would like to transfer to a new server without any downtime (or as little downtime as possible). In general, I would also like to have a hot failover copy of the database available. I would like to use replication to get all of the data copied to the new machine, and then at some point flip a switch and have that new machine become the master (normal failover scenario). My problem is that I am not sure how to initialize replication without locking the db to make the initial snapshot I will use? Is there any way to do this? I know I could do it using single-transaction if I was using innoDB, but very unfortunately we have some myISAM tables in there (in fact the largest 150GB table is myISAM and I want to switch it to InnoDB but I can't do it until I have more space & a hot copy to switch to). Any ideas? Is there some way to make such a snapshot? Or is there alternatively a way to get replication to "catch up" without an snapshot for initialization?

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  • MySQL 5.1 or 5.5?

    - by Miko
    Are there significant differences between versions 5.1 and 5.5? The server in question is used to host a medium-sized vBulletin forum. The main benefit of 5.1 is it's available through apt-get.

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  • Can you rely on Nginx as your only webserver for php/mysql

    - by Saif Bechan
    Can you rely on Nginx to be your only webserver. I know in terms of performance it works well, but how does it do in terms of security. I know Apache is stable and has ModSecurity. This is not the case for Nginx. I am going to use Nginx as only webserver, and only for dynamic content. All my static content is delivered by a CDN.

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  • MySQL too many connections

    - by Webnet
    On my server I have 7 databases. Our server has 512 MB of RAM which I'm getting upgraded this evening to 2GB and has a 2.4 single processor. I've gotten an error about the connection limit exceeded. With increasing my RAM, is it ok to increase the number of connections? Currently it's set to 200 but a single page may connect to 3-4 databases considering JOINs and things. We've setup so many databases for mere organization. We have a total of about 250-300 tables in all of the databases. Any advice would be appreciated :)

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