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  • CENTOS 6 - How to install php-mysql when php-common @remi is present?

    - by Multitut
    I am having troubles adding mysql support for my php installation, this installation was made using a ready to use-package that came with our VPS. This is my php.info: http://snake.quetzalcoatech.com/info.php I am trying to install php mysql using: yum install php-mysql And get this output: Loaded plugins: fastestmirror Loading mirror speeds from cached hostfile * base: mirrors.serveraxis.net * extras: mirror.fdcservers.net * updates: bay.uchicago.edu Setting up Install Process Resolving Dependencies --> Running transaction check ---> Package php-mysql.x86_64 0:5.3.3-14.el6_3 will be installed --> Processing Dependency: php-common = 5.3.3-14.el6_3 for package: php-mysql-5.3.3-14.el6_3.x86_64 --> Finished Dependency Resolution Error: Package: php-mysql-5.3.3-14.el6_3.x86_64 (updates) Requires: php-common = 5.3.3-14.el6_3 Installed: php-common-5.3.17-2.el6.remi.x86_64 (@remi) php-common = 5.3.17-2.el6.remi Available: php-common-5.3.3-3.el6_2.8.x86_64 (base) php-common = 5.3.3-3.el6_2.8 Available: php-common-5.3.3-14.el6_3.x86_64 (updates) php-common = 5.3.3-14.el6_3 You could try using --skip-broken to work around the problem You could try running: rpm -Va --nofiles --nodigest I am a noob using Linux, so could you tell me which command should I use to install a compatible php-mysql module? Thank you so much!

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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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  • mysql mass insert data

    - by user12145
    Edit: I realized that if I construct a large query in memory, the speed has increased almost 10 times of magnitude "insert ignore into xxx(col1, col2) values('a',1), values('b',1), values('c',1)..." Edit: since I have an index on the first column, the insert time creeps up as I insert more. Can I delay the index until the end? Original: I'm using the following to batch insert 10 million rows into mysql db(not all at once, since they don't all fit into memory), it's too slow(taking many hours). should I use load file to improve performance? I would have to create a second file to store all the 10 million rows, then load that into db. are there better ways? PreparedStatement st=con.prepareStatement("insert ignore into xxx (col1, col2) "+ " values (?, 1)"); Iterator d=data.iterator(); while(d.hasNext()){ st.clearParameters(); st.setString(1, (d.next()).toLowerCase()); st.addBatch(); } int[]updateCounts=st.executeBatch();

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  • MySQL config for 2GB ram

    - by Tiffany Walker
    How is my config? Does it work well for 2GB? What would be an ideal config for a 2GB ram server? [mysqld] set-variable = max_connections=500 log-slow-queries safe-show-database local-infile=0 skip-networking symbolic-links=0 max_connections = 500 key_buffer = 256M myisam_sort_buffer_size = 64M join_buffer_size = 2M read_buffer_size = 2M sort_buffer_size = 2M read_rnd_buffer_size = 2M thread_concurrency = 16 table_cache = 1024 thread_cache_size = 50 wait_timeout = 7200 connect_timeout = 10 tmp_table_size = 32M max_allowed_packet = 160M max_connect_errors = 10 query_cache_limit = 1M query_cache_size = 32M query_cache_type = 1 [mysqld_safe] open_files_limit = 8192 [mysqldump] max_allowed_packet = 16M [myisamchk] key_buffer = 64M sort_buffer = 64M read_buffer = 16M write_buffer = 16M UPDATE 2012-03-28 12:58 EDT By RolandoMySQLDBA Please run these queries and paste them into your question: For MyISAM SELECT CONCAT(ROUND(KBS/POWER(1024, IF(PowerOf1024<0,0,IF(PowerOf1024>3,0,PowerOf1024)))+0.4999), SUBSTR(' KMG',IF(PowerOf1024<0,0, IF(PowerOf1024>3,0,PowerOf1024))+1,1)) recommended_key_buffer_size FROM (SELECT LEAST(POWER(2,32),KBS1) KBS FROM (SELECT SUM(index_length) KBS1 FROM information_schema.tables WHERE engine='MyISAM' AND table_schema NOT IN ('information_schema','mysql')) AA ) A, (SELECT 2 PowerOf1024) B; For InnoDB SELECT CONCAT(ROUND(KBS/POWER(1024, IF(PowerOf1024<0,0,IF(PowerOf1024>3,0,PowerOf1024)))+0.49999), SUBSTR(' KMG',IF(PowerOf1024<0,0, IF(PowerOf1024>3,0,PowerOf1024))+1,1)) recommended_innodb_buffer_pool_size FROM (SELECT SUM(data_length+index_length) KBS FROM information_schema.tables WHERE engine='InnoDB') A, (SELECT 2 PowerOf1024) B;

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  • Mysql: create index on 1.4 billion records

    - by SiLent SoNG
    I have a table with 1.4 billion records. The table structure is as follows: CREATE TABLE text_page ( text VARCHAR(255), page_id INT UNSIGNED ) ENGINE=MYISAM DEFAULT CHARSET=ascii The requirement is to create an index over the column text. The table size is about 34G. I have tried to create the index by the following statement: ALTER TABLE text_page ADD KEY ix_text (text) After 10 hours' waiting I finally give up this approach. Is there any workable solution on this problem? UPDATE: the table is unlikely to be updated or inserted or deleted. The reason why to create index on the column text is because this kind of sql query would be frequently executed: SELECT page_id FROM text_page WHERE text = ? UPDATE: I have solved the problem by partitioning the table. The table is partitioned into 40 pieces on column text. Then creating index on the table takes about 1 hours to complete. It seems that MySQL index creation becomes very slow when the table size becomes very big. And partitioning reduces the table into smaller trunks.

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  • mysql db connection

    - by Dragster
    hi there i have been searching the web for a connection between my android simulator and a mysql db. I've fount that you can't connect directly but via a webserver. The webserver wil handle my request from my android. I fount the following code on www.helloandroid.com But i don't understand. If i run this code on the simulator nothing happens. The screen stays black. Where does Log.i land. In the android screen or in the error log or somewhere else? Can somebody help me with this code? package app.android.ticket; import java.io.BufferedReader; import java.io.InputStream; import java.io.InputStreamReader; import java.util.ArrayList; import org.apache.http.HttpEntity; import org.apache.http.HttpResponse; import org.apache.http.NameValuePair; import org.apache.http.client.HttpClient; import org.apache.http.client.entity.UrlEncodedFormEntity; import org.apache.http.client.methods.HttpPost; import org.apache.http.impl.client.DefaultHttpClient; import org.apache.http.message.BasicNameValuePair; import org.json.JSONArray; import org.json.JSONException; import org.json.JSONObject; import android.app.Activity; import android.os.Bundle; import android.util.Log; public class fetchData extends Activity { /** Called when the activity is first created. */ @Override public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.main); //call the method to run the data retreival getServerData(); } public static final String KEY_121 = "http://www.jorisdek.nl/android/getAllPeopleBornAfter.php"; public fetchData() { Log.e("fetchData", "Initialized ServerLink "); } private void getServerData() { InputStream is = null; String result = ""; //the year data to send ArrayList<NameValuePair> nameValuePairs = new ArrayList<NameValuePair>(); nameValuePairs.add(new BasicNameValuePair("year","1980")); //http post try{ HttpClient httpclient = new DefaultHttpClient(); HttpPost httppost = new HttpPost(KEY_121); httppost.setEntity(new UrlEncodedFormEntity(nameValuePairs)); HttpResponse response = httpclient.execute(httppost); HttpEntity entity = response.getEntity(); is = entity.getContent(); }catch(Exception e){ Log.e("log_tag", "Error in http connection "+e.toString()); } //convert response to string try{ BufferedReader reader = new BufferedReader(new InputStreamReader(is,"iso-8859-1"),8); StringBuilder sb = new StringBuilder(); String line = null; while ((line = reader.readLine()) != null) { sb.append(line + "\n"); } is.close(); result=sb.toString(); }catch(Exception e){ Log.e("log_tag", "Error converting result "+e.toString()); } //parse json data try{ JSONArray jArray = new JSONArray(result); for(int i=0;i<jArray.length();i++){ JSONObject json_data = jArray.getJSONObject(i); Log.i("log_tag","id: "+json_data.getInt("id")+ ", name: "+json_data.getString("name")+ ", sex: "+json_data.getInt("sex")+ ", birthyear: "+json_data.getInt("birthyear") ); } }catch(JSONException e){ Log.e("log_tag", "Error parsing data "+e.toString()); } } }

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  • How To View and Write To System Log Files on Ubuntu

    - by Chris Hoffman
    Linux logs a large amount of events to the disk, where they’re mostly stored in the /var/log directory in plain text. Most log entries go through the system logging daemon, syslogd, and are written to the system log. Ubuntu includes a number of ways of viewing these logs, either graphically or from the command-line. You can also write your own log messages to the system log — particularly useful in scripts. How to Banish Duplicate Photos with VisiPic How to Make Your Laptop Choose a Wired Connection Instead of Wireless HTG Explains: What Is Two-Factor Authentication and Should I Be Using It?

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  • Function inside .profile results in no log-in

    - by bioShark
    I've created a custom function in my .profile, and I've added right at the bottom, after my custom aliases : # custom functions function eclipse-gtk { cd ~/development/eclipse-juno ./eclipse_wb.sh & cd - } The function starts a custom version of my eclipse. After I've added it, because I didn't wanted to log-out/log-in, I've reloaded my profile with the command: . ~/.profile and then I've tested my function by calling eclipse-gtk and it worked without any issue. Today when I booted, I couldn't log in. After providing my password, in a few seconds I was back at the log-in screen. Dropping to command line using CTR + ALT + F1, I've commented out the function in my .profile and the log-in was possible without any issue. My question is, what did I do wrong when I wrote the function? And if there is something wrong, why did it work yesterday after reloading the profile. Thanks in advance. Using: Ubuntu 12.04

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  • Ubuntu One Files for Android will not let me log in

    - by user20867
    I installed Ubuntu One Files on my Nexus One phone. When I tap Log in on the main screen, the app tries to log in then after a few seconds returns the following message: Log-in failed, please try again later. I have an Ubuntu One account, and when I tap Register on the main screen for Ubuntu One Files, I can log in using my phone's Web browser. But if I go back to the app and try to log in, I get the same error. Again, my phone is a Nexus One running Android 2.3.4. The phone is not rooted or modded in any way.

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  • redirect user, then log his visit using php and mysql

    - by Bart van Heukelom
    I have a PHP redirect page to track clicks on links. Basically it does: - get url from $_GET - connect to database - create row for url, or update with 1 hit if it exists - redirect browser to url using Location: header I was wondering if it's possible to send the redirect to the client first, so it can get on with it's job, and then log the click. Would simply switching things around work?

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  • Optimize slow ranking query

    - by Juan Pablo Califano
    I need to optimize a query for a ranking that is taking forever (the query itself works, but I know it's awful and I've just tried it with a good number of records and it gives a timeout). I'll briefly explain the model. I have 3 tables: player, team and player_team. I have players, that can belong to a team. Obvious as it sounds, players are stored in the player table and teams in team. In my app, each player can switch teams at any time, and a log has to be mantained. However, a player is considered to belong to only one team at a given time. The current team of a player is the last one he's joined. The structure of player and team is not relevant, I think. I have an id column PK in each. In player_team I have: id (PK) player_id (FK -> player.id) team_id (FK -> team.id) Now, each team is assigned a point for each player that has joined. So, now, I want to get a ranking of the first N teams with the biggest number of players. My first idea was to get first the current players from player_team (that is one record top for each player; this record must be the player's current team). I failed to find a simple way to do it (tried GROUP BY player_team.player_id HAVING player_team.id = MAX(player_team.id), but that didn't cut it. I tried a number of querys that didn't work, but managed to get this working. SELECT COUNT(*) AS total, pt.team_id, p.facebook_uid AS owner_uid, t.color FROM player_team pt JOIN player p ON (p.id = pt.player_id) JOIN team t ON (t.id = pt.team_id) WHERE pt.id IN ( SELECT max(J.id) FROM player_team J GROUP BY J.player_id ) GROUP BY pt.team_id ORDER BY total DESC LIMIT 50 As I said, it works but looks very bad and performs worse, so I'm sure there must be a better way to go. Anyone has any ideas for optimizing this? I'm using mysql, by the way. Thanks in advance Adding the explain. (Sorry, not sure how to format it properly) id select_type table type possible_keys key key_len ref rows Extra 1 PRIMARY t ALL PRIMARY NULL NULL NULL 5000 Using temporary; Using filesort 1 PRIMARY pt ref FKplayer_pt77082,FKplayer_pt265938,new_index FKplayer_pt77082 4 t.id 30 Using where 1 PRIMARY p eq_ref PRIMARY PRIMARY 4 pt.player_id 1 2 DEPENDENT SUBQUERY J index NULL new_index 8 NULL 150000 Using index

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  • Slow query execution time

    - by rotor
    select p.id,p.title,p.slug,p.content, (select url from gallery where postid=p.id limit 1) as url, t.name from posts as p inner join termrel as tr on (tr.object = p.id) inner join termtax as tx on (tx.id = tr.termtax_id) inner join terms as t on (t.id = tx.term_id) where tx.taxonomy_id=3 and p.post_status is null order by t.name asc This query took about 0.2407s to execute. How to make it fast?

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  • MS SQL Query Sum of subquery

    - by San
    Hello , I need a help i getting following output from the query . SELECT ARG_CONSUMER, cast(ARG_TOTALAMT as float)/100 AS 'Total', (SELECT SUM(cast(DAMT as float))/100 FROM DEBT WHERE DDATE >= ARG.ARG_ORIGDATE AND DDATE <= ARG.ARG_LASTPAYDATE AND DTYPE IN ('CSH','CNTP','DDR','NBP') AND DCONSUMER = ARG.ARG_CONSUMER ) AS 'Paid' FROM ARGMASTER ARG WHERE ARG_STATUS = '1' Current output is a list of all records... But what i want to achieve here is count of arg consumers Total of ARG_TOTALAMT total of that subquery PAID difference between PAID & Total amount. I am able to achieve first two i.e. count of consumers & total of ARG _ TOTALAMT... but i am confused about sum of of ...i.e. sum (SELECT SUM(cast(DAMT as float))/100 FROM DEBT WHERE DDATE >= ARG.ARG_ORIGDATE AND DDATE <= ARG.ARG_LASTPAYDATE AND DTYPE IN ('CSH','CNTP','DDR','NBP') AND DCONSUMER = ARG.ARG_CONSUMER) AS 'Paid' Please advice

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  • MySQL Privileges required to GRANT EVENT, EXECUTE, LOCK TABLES, and TRIGGER

    - by Brad
    I have an account, user_a, and I would like to grant all available permissions on some_db to user_b. I have tried the following query: GRANT ALTER, ALTER ROUTINE, CREATE, CREATE ROUTINE, CREATE TEMPORARY TABLES, CREATE VIEW, DELETE, DROP, EVENT, EXECUTE, INDEX, INSERT, LOCK TABLES, REFERENCES, SELECT, SHOW VIEW, TRIGGER, UPDATE ON `some_db`.* TO 'user_b'@'%' WITH GRANT OPTION The result: Access denied for user 'user_a'@'%' to database 'some_db' Some experimentation has shown me that the only permissions my account (user_a) is unable to grant are EVENT, EXECUTE, LOCK TABLES, and TRIGGER. What privileges are required for my account to GRANT these privileges to another user? If I run SHOW GRANTS, I get this output: "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, SHOW DATABASES, SUPER, CREATE TEMPORARY TABLES, REPLICATION SLAVE, REPLICATION CLIENT, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE, CREATE USER ON *.* TO 'user_a'@'%' IDENTIFIED BY PASSWORD '1234567890abcdef' WITH GRANT OPTION" "GRANT SELECT, INSERT, UPDATE, DELETE, EXECUTE ON `some_other_unrelated_db`.* TO 'user_a'@'%'" "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE TEMPORARY TABLES, LOCK TABLES, EXECUTE, CREATE ROUTINE, ALTER ROUTINE ON `another_unrelated_db`.* TO 'user_a'@'%' WITH GRANT OPTION"

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  • Why is it taking longer to log into windows7?

    - by acidzombie24
    I installed windows 7 and it was file for weeks. Recently i created a 2nd user account, installed important updates, installed 1 game and AFAIK that is it. What did it? All three of theses doesnt seem they would cause logging in to take longer (maybe important updates did it?). It takes 90+ seconds to get a fully loaded desktop when it use to take ~30 second. Looking at msconfig and starup i see vmware, dtools, launchy and live messenger (msn). I know i had three of these and maybe all 4 during the last install how can i find out what made loggin in slow? -edit- i also installed visual studios rc1 team instead of beta2 and msvs 2008. But i hardly doubt msvs rc1 did it.

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  • Why is it taking longer to log into windows7?

    - by acidzombie24
    I installed windows 7 and it was file for weeks. Recently i created a 2nd user account, installed important updates, installed 1 game and AFAIK that is it. What did it? All three of theses doesnt seem they would cause logging in to take longer (maybe important updates did it?). It takes 90+ seconds to get a fully loaded desktop when it use to take ~30 second. Looking at msconfig and starup i see vmware, dtools, launchy and live messenger (msn). I know i had three of these and maybe all 4 during the last install how can i find out what made loggin in slow? -edit- i also installed visual studios rc1 team instead of beta2 and msvs 2008. But i hardly doubt msvs rc1 did it.

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  • Move MySQL master

    - by Noodles
    I currently have a master db server (lets call it db1) and 6 slaves (slave1-6). I've setup a new server (db2) as a slave of db1 and it's in sync. I want to change all the slaves to use db2 instead of db1, but with minimal downtime/data loss. At the moment the only way I can think of doing it is shutting down our website (so data stops being written to db1), waiting until all the slaves are up to date, flush logs on db1, shut it down. Reset master on db2, change all slaves to point to db2 with log position = 0. Is this the right way to do it or is there a way to do it without taking the site offline?

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  • Performance Enhancement in Full-Text Search Query

    - by Calvin Sun
    Ever since its first release, we are continuing consolidating and developing InnoDB Full-Text Search feature. There is one recent improvement that worth blogging about. It is an effort with MySQL Optimizer team that simplifies some common queries’ Query Plans and dramatically shorted the query time. I will describe the issue, our solution and the end result by some performance numbers to demonstrate our efforts in continuing enhancement the Full-Text Search capability. The Issue: As we had discussed in previous Blogs, InnoDB implements Full-Text index as reversed auxiliary tables. The query once parsed will be reinterpreted into several queries into related auxiliary tables and then results are merged and consolidated to come up with the final result. So at the end of the query, we’ll have all matching records on hand, sorted by their ranking or by their Doc IDs. Unfortunately, MySQL’s optimizer and query processing had been initially designed for MyISAM Full-Text index, and sometimes did not fully utilize the complete result package from InnoDB. Here are a couple examples: Case 1: Query result ordered by Rank with only top N results: mysql> SELECT FTS_DOC_ID, MATCH (title, body) AGAINST ('database') AS SCORE FROM articles ORDER BY score DESC LIMIT 1; In this query, user tries to retrieve a single record with highest ranking. It should have a quick answer once we have all the matching documents on hand, especially if there are ranked. However, before this change, MySQL would almost retrieve rankings for almost every row in the table, sort them and them come with the top rank result. This whole retrieve and sort is quite unnecessary given the InnoDB already have the answer. In a real life case, user could have millions of rows, so in the old scheme, it would retrieve millions of rows' ranking and sort them, even if our FTS already found there are two 3 matched rows. Apparently, the million ranking retrieve is done in vain. In above case, it should just ask for 3 matched rows' ranking, all other rows' ranking are 0. If it want the top ranking, then it can just get the first record from our already sorted result. Case 2: Select Count(*) on matching records: mysql> SELECT COUNT(*) FROM articles WHERE MATCH (title,body) AGAINST ('database' IN NATURAL LANGUAGE MODE); In this case, InnoDB search can find matching rows quickly and will have all matching rows. However, before our change, in the old scheme, every row in the table was requested by MySQL one by one, just to check whether its ranking is larger than 0, and later comes up a count. In fact, there is no need for MySQL to fetch all rows, instead InnoDB already had all the matching records. The only thing need is to call an InnoDB API to retrieve the count The difference can be huge. Following query output shows how big the difference can be: mysql> select count(*) from searchindex_inno where match(si_title, si_text) against ('people')  +----------+ | count(*) | +----------+ | 666877 | +----------+ 1 row in set (16 min 17.37 sec) So the query took almost 16 minutes. Let’s see how long the InnoDB can come up the result. In InnoDB, you can obtain extra diagnostic printout by turning on “innodb_ft_enable_diag_print”, this will print out extra query info: Error log: keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 2 secs: row(s) 666877: error: 10 ft_init() ft_init_ext() keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 3 secs: row(s) 666877: error: 10 Output shows it only took InnoDB only 3 seconds to get the result, while the whole query took 16 minutes to finish. So large amount of time has been wasted on the un-needed row fetching. The Solution: The solution is obvious. MySQL can skip some of its steps, optimize its plan and obtain useful information directly from InnoDB. Some of savings from doing this include: 1) Avoid redundant sorting. Since InnoDB already sorted the result according to ranking. MySQL Query Processing layer does not need to sort to get top matching results. 2) Avoid row by row fetching to get the matching count. InnoDB provides all the matching records. All those not in the result list should all have ranking of 0, and no need to be retrieved. And InnoDB has a count of total matching records on hand. No need to recount. 3) Covered index scan. InnoDB results always contains the matching records' Document ID and their ranking. So if only the Document ID and ranking is needed, there is no need to go to user table to fetch the record itself. 4) Narrow the search result early, reduce the user table access. If the user wants to get top N matching records, we do not need to fetch all matching records from user table. We should be able to first select TOP N matching DOC IDs, and then only fetch corresponding records with these Doc IDs. Performance Results and comparison with MyISAM The result by this change is very obvious. I includes six testing result performed by Alexander Rubin just to demonstrate how fast the InnoDB query now becomes when comparing MyISAM Full-Text Search. These tests are base on the English Wikipedia data of 5.4 Million rows and approximately 16G table. The test was performed on a machine with 1 CPU Dual Core, SSD drive, 8G of RAM and InnoDB_buffer_pool is set to 8 GB. Table 1: SELECT with LIMIT CLAUSE mysql> SELECT si_title, match(si_title, si_text) against('family') as rel FROM si WHERE match(si_title, si_text) against('family') ORDER BY rel desc LIMIT 10; InnoDB MyISAM Times Faster Time for the query 1.63 sec 3 min 26.31 sec 127 You can see for this particular query (retrieve top 10 records), InnoDB Full-Text Search is now approximately 127 times faster than MyISAM. Table 2: SELECT COUNT QUERY mysql>select count(*) from si where match(si_title, si_text) against('family‘); +----------+ | count(*) | +----------+ | 293955 | +----------+ InnoDB MyISAM Times Faster Time for the query 1.35 sec 28 min 59.59 sec 1289 In this particular case, where there are 293k matching results, InnoDB took only 1.35 second to get all of them, while take MyISAM almost half an hour, that is about 1289 times faster!. Table 3: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county California 0.93 sec 32.03 sec 34.4 President united states of America 2.5 sec 36.98 sec 14.8 Table 4: SELECT title and text with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, si_title, si_text, ... as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.61 sec 41.65 sec 68.3 family film 1.15 sec 47.17 sec 41.0 Pizza restaurant orange county california 1.03 sec 48.2 sec 46.8 President united states of america 2.49 sec 44.61 sec 17.9 Table 5: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel  FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county califormia 0.93 sec 32.03 sec 34.4 President united states of america 2.5 sec 36.98 sec 14.8 Table 6: SELECT COUNT(*) mysql> SELECT count(*) FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.47 sec 82 sec 174.5 family film 0.83 sec 131 sec 157.8 Pizza restaurant orange county califormia 0.74 sec 106 sec 143.2 President united states of america 1.96 sec 220 sec 112.2  Again, table 3 to table 6 all showing InnoDB consistently outperform MyISAM in these queries by a large margin. It becomes obvious the InnoDB has great advantage over MyISAM in handling large data search. Summary: These results demonstrate the great performance we could achieve by making MySQL optimizer and InnoDB Full-Text Search more tightly coupled. I think there are still many cases that InnoDB’s result info have not been fully taken advantage of, which means we still have great room to improve. And we will continuously explore the area, and get more dramatic results for InnoDB full-text searches. Jimmy Yang, September 29, 2012

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  • JPA : optimize EJB-QL query involving large many-to-many join table

    - by Fabien
    Hi all. I'm using Hibernate Entity Manager 3.4.0.GA with Spring 2.5.6 and MySql 5.1. I have a use case where an entity called Artifact has a reflexive many-to-many relation with itself, and the join table is quite large (1 million lines). As a result, the HQL query performed by one of the methods in my DAO takes a long time. Any advice on how to optimize this and still use HQL ? Or do I have no choice but to switch to a native SQL query that would perform a join between the table ARTIFACT and the join table ARTIFACT_DEPENDENCIES ? Here is the problematic query performed in the DAO : @SuppressWarnings("unchecked") public List<Artifact> findDependentArtifacts(Artifact artifact) { Query query = em.createQuery("select a from Artifact a where :artifact in elements(a.dependencies)"); query.setParameter("artifact", artifact); List<Artifact> list = query.getResultList(); return list; } And the code for the Artifact entity : package com.acme.dependencytool.persistence.model; import java.util.ArrayList; import java.util.List; import javax.persistence.CascadeType; import javax.persistence.Column; import javax.persistence.Entity; import javax.persistence.FetchType; import javax.persistence.GeneratedValue; import javax.persistence.Id; import javax.persistence.JoinColumn; import javax.persistence.JoinTable; import javax.persistence.ManyToMany; import javax.persistence.Table; import javax.persistence.UniqueConstraint; @Entity @Table(name = "ARTIFACT", uniqueConstraints={@UniqueConstraint(columnNames={"GROUP_ID", "ARTIFACT_ID", "VERSION"})}) public class Artifact { @Id @GeneratedValue @Column(name = "ID") private Long id = null; @Column(name = "GROUP_ID", length = 255, nullable = false) private String groupId; @Column(name = "ARTIFACT_ID", length = 255, nullable = false) private String artifactId; @Column(name = "VERSION", length = 255, nullable = false) private String version; @ManyToMany(cascade=CascadeType.ALL, fetch=FetchType.EAGER) @JoinTable( name="ARTIFACT_DEPENDENCIES", joinColumns = @JoinColumn(name="ARTIFACT_ID", referencedColumnName="ID"), inverseJoinColumns = @JoinColumn(name="DEPENDENCY_ID", referencedColumnName="ID") ) private List<Artifact> dependencies = new ArrayList<Artifact>(); public Long getId() { return id; } public void setId(Long id) { this.id = id; } public String getGroupId() { return groupId; } public void setGroupId(String groupId) { this.groupId = groupId; } public String getArtifactId() { return artifactId; } public void setArtifactId(String artifactId) { this.artifactId = artifactId; } public String getVersion() { return version; } public void setVersion(String version) { this.version = version; } public List<Artifact> getDependencies() { return dependencies; } public void setDependencies(List<Artifact> dependencies) { this.dependencies = dependencies; } } Thanks in advance. EDIT 1 : The DDLs are generated automatically by Hibernate EntityMananger based on the JPA annotations in the Artifact entity. I have no explicit control on the automaticaly-generated join table, and the JPA annotations don't let me explicitly set an index on a column of a table that does not correspond to an actual Entity (in the JPA sense). So I guess the indexing of table ARTIFACT_DEPENDENCIES is left to the DB, MySQL in my case, which apparently uses a composite index based on both clumns but doesn't index the column that is most relevant in my query (DEPENDENCY_ID). mysql describe ARTIFACT_DEPENDENCIES; +---------------+------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +---------------+------------+------+-----+---------+-------+ | ARTIFACT_ID | bigint(20) | NO | MUL | NULL | | | DEPENDENCY_ID | bigint(20) | NO | MUL | NULL | | +---------------+------------+------+-----+---------+-------+ EDIT 2 : When turning on showSql in the Hibernate session, I see many occurences of the same type of SQL query, as below : select dependenci0_.ARTIFACT_ID as ARTIFACT1_1_, dependenci0_.DEPENDENCY_ID as DEPENDENCY2_1_, artifact1_.ID as ID1_0_, artifact1_.ARTIFACT_ID as ARTIFACT2_1_0_, artifact1_.GROUP_ID as GROUP3_1_0_, artifact1_.VERSION as VERSION1_0_ from ARTIFACT_DEPENDENCIES dependenci0_ left outer join ARTIFACT artifact1_ on dependenci0_.DEPENDENCY_ID=artifact1_.ID where dependenci0_.ARTIFACT_ID=? Here's what EXPLAIN in MySql says about this type of query : mysql explain select dependenci0_.ARTIFACT_ID as ARTIFACT1_1_, dependenci0_.DEPENDENCY_ID as DEPENDENCY2_1_, artifact1_.ID as ID1_0_, artifact1_.ARTIFACT_ID as ARTIFACT2_1_0_, artifact1_.GROUP_ID as GROUP3_1_0_, artifact1_.VERSION as VERSION1_0_ from ARTIFACT_DEPENDENCIES dependenci0_ left outer join ARTIFACT artifact1_ on dependenci0_.DEPENDENCY_ID=artifact1_.ID where dependenci0_.ARTIFACT_ID=1; +----+-------------+--------------+--------+-------------------+-------------------+---------+---------------------------------------------+------+-------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+--------------+--------+-------------------+-------------------+---------+---------------------------------------------+------+-------+ | 1 | SIMPLE | dependenci0_ | ref | FKEA2DE763364D466 | FKEA2DE763364D466 | 8 | const | 159 | | | 1 | SIMPLE | artifact1_ | eq_ref | PRIMARY | PRIMARY | 8 | dependencytooldb.dependenci0_.DEPENDENCY_ID | 1 | | +----+-------------+--------------+--------+-------------------+-------------------+---------+---------------------------------------------+------+-------+ EDIT 3 : I tried setting the FetchType to LAZY in the JoinTable annotation, but I then get the following exception : Hibernate: select artifact0_.ID as ID1_, artifact0_.ARTIFACT_ID as ARTIFACT2_1_, artifact0_.GROUP_ID as GROUP3_1_, artifact0_.VERSION as VERSION1_ from ARTIFACT artifact0_ where artifact0_.GROUP_ID=? and artifact0_.ARTIFACT_ID=? 51545 [btpool0-2] ERROR org.hibernate.LazyInitializationException - failed to lazily initialize a collection of role: com.acme.dependencytool.persistence.model.Artifact.dependencies, no session or session was closed org.hibernate.LazyInitializationException: failed to lazily initialize a collection of role: com.acme.dependencytool.persistence.model.Artifact.dependencies, no session or session was closed at org.hibernate.collection.AbstractPersistentCollection.throwLazyInitializationException(AbstractPersistentCollection.java:380) at org.hibernate.collection.AbstractPersistentCollection.throwLazyInitializationExceptionIfNotConnected(AbstractPersistentCollection.java:372) at org.hibernate.collection.AbstractPersistentCollection.readSize(AbstractPersistentCollection.java:119) at org.hibernate.collection.PersistentBag.size(PersistentBag.java:248) at com.acme.dependencytool.server.DependencyToolServiceImpl.createArtifactViewBean(DependencyToolServiceImpl.java:93) at com.acme.dependencytool.server.DependencyToolServiceImpl.createArtifactViewBean(DependencyToolServiceImpl.java:109) at com.acme.dependencytool.server.DependencyToolServiceImpl.search(DependencyToolServiceImpl.java:48) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at com.google.gwt.user.server.rpc.RPC.invokeAndEncodeResponse(RPC.java:527) at com.google.gwt.user.server.rpc.RemoteServiceServlet.processCall(RemoteServiceServlet.java:166) at com.google.gwt.user.server.rpc.RemoteServiceServlet.doPost(RemoteServiceServlet.java:86) at javax.servlet.http.HttpServlet.service(HttpServlet.java:637) at javax.servlet.http.HttpServlet.service(HttpServlet.java:717) at org.mortbay.jetty.servlet.ServletHolder.handle(ServletHolder.java:487) at org.mortbay.jetty.servlet.ServletHandler.handle(ServletHandler.java:362) at org.mortbay.jetty.security.SecurityHandler.handle(SecurityHandler.java:216) at org.mortbay.jetty.servlet.SessionHandler.handle(SessionHandler.java:181) at org.mortbay.jetty.handler.ContextHandler.handle(ContextHandler.java:729) at org.mortbay.jetty.webapp.WebAppContext.handle(WebAppContext.java:405) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) at org.mortbay.jetty.handler.RequestLogHandler.handle(RequestLogHandler.java:49) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) at org.mortbay.jetty.Server.handle(Server.java:324) at org.mortbay.jetty.HttpConnection.handleRequest(HttpConnection.java:505) at org.mortbay.jetty.HttpConnection$RequestHandler.content(HttpConnection.java:843) at org.mortbay.jetty.HttpParser.parseNext(HttpParser.java:647) at org.mortbay.jetty.HttpParser.parseAvailable(HttpParser.java:205) at org.mortbay.jetty.HttpConnection.handle(HttpConnection.java:380) at org.mortbay.io.nio.SelectChannelEndPoint.run(SelectChannelEndPoint.java:395) at org.mortbay.thread.QueuedThreadPool$PoolThread.run(QueuedThreadPool.java:488)

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  • Replace text with spaces in MySQL

    - by javipas
    I'm trying to do a global replace of search in my database, which has a lot of articles with a double carriage return because of this code: <p> </p> I'd like to replace this in my WordPress blog so instead of that appears... nothing, and so I can delete the CR. I've tried this on my database UPDATE wp_posts set post_content = replace (post_content,'<p> </p>',''); but didn't work. Why? Do I have to add special thinks to consider the space between the <p>and the</p>? Mmm. Good points, both Jon Angliss and Wim. Jon, as you could have guessed, the database shows no entries with that text string. So there's something going on inside the post_content field. Wim, the famous   was replaced previously, but there are still hundreds of posts that for some reason have something different between the p and the /p tags. I've done a search of one of the posts with this error: mysql> select * from wp_posts where post_title like '%3DVisionLive%'; And looking in the wp_content field, this is a little piece of the post: Phil Eisler, responsable de la divisi?n 3D Vision.?</p> <p>?</p> <p>Este portal ser? por tanto No spanish tilde (accent) shown on the terminal, and instead of an space there's a quotation mark between the p and the /p tags. I've tried to replace <p>?</p>, but again, no results. There's some character (or several) there, but I don't know how to discover that. Maybe it's the character set of my terminal, but I've accessed the database from phpmyadmin and in that case there's a space character between the p and the /p. Weird.

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  • How to use most of memory available on MySQL

    - by Zilvinas
    I've got a MySQL server which has both InnoDB and MyISAM tables. InnoDB tablespace is quite small under 4 GB. MyISAM is big ~250 GB in total of which 50 GB is for indexes. Our server has 32 GB of RAM but it usually uses only ~8GB. Our key_buffer_size is only 2GB. But our key cache hit ratio is ~95%. I find it hard to believe.. Here's our key statistics: | Key_blocks_not_flushed | 1868 | | Key_blocks_unused | 109806 | | Key_blocks_used | 1714736 | | Key_read_requests | 19224818713 | | Key_reads | 60742294 | | Key_write_requests | 1607946768 | | Key_writes | 64788819 | key_cache_block_size is default at 1024. We have 52 GB's of index data and 2GB key cache is enough to get a 95% hit ratio. Is that possible? On the other side data set is 200GB and since MyISAM uses OS (Centos) caching I would expect it to use a lot more memory to cache accessed myisam data. But at this stage I see that key_buffer is completely used, our buffer pool size for innodb is 4gb and is also completely used that adds up to 6GB. Which means data is cached using just 1 GB? My question is how could I check where all the free memory could be used? How could I check if MyISAM hits OS cache for data reads instead of disk?

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  • write client ip in iis 7.0 log over firewalls

    - by Guy Bertental
    Hi, I a solution for IIS 7.0 which runs on windows server 2008 64bit to write my clients IP to IIS logs while the server is behind firewalls and proxies (Pass X-Forwarded-For header value). I've tried to install the an ISAPI Filter written by Joe Pruitt. it works great on Windows Server 2003 32bit IIS 6.0, but seems to do nothing at all on windows server 2008 64bit IIS 7.0. Did anyone try this ISAPI filter on this version of OS? or have another solution? link to the Joe Pruitt's (from F5) ISAPI filter: http://devcentral.f5.com/weblogs/Joe/archive/2009/08/19/x_forwarded_for_log_filter_for_windows_servers.aspx best regards, guy bertental

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  • Server configurations for hosting MySQL database

    - by shyam
    I have a web application which uses a MySQL database hosted on a virtual server. I've been using this server when I started the application and when the database was really small. Now it has grown and the server is not able to handle the db, causing frequent db errors. I'm planning to get a server and I need suggestions for that. Like I said, the db is now 9 GB, and is growing considerably fast. There are a number of tables with millions of rows, which are frequently updated and queried. The most frequent error the db shows is Lock wait timeout exceeded. Previously there used to be "The total number of locks exceeds the lock table size" errors too, but I could avoid it by increasing Innodb buffer pool size. Please suggest what configurations should I look for in the server I should buy. I read somewhere that the db should ideally have a buffer pool size greater than the size of its data, so in my case I guess I'd need memory gt 9 GB. What other things should I look for in the server? Just tell me if I should give you more info about the

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  • Mysql ndb cluster - node restart.

    - by Arafat
    Hi guys! I just setup a mysql cluster on a fairly decent baby (IBM x3650 M3) with 24GB memory, xeon 6core, SAS 6Gbps HDD. Running Debian Lenny 5. 64bits. Ndb version is 7.1.9a. Our database size on MyISAM is around 3.2 GB. Ndb_size estimation is 58GB for ndbengine. A little info about my database is as follows. 150 common tables for global purpose. 130 tables for each clients. So it goes like this, 130 x 115(clients) = 14950 tables. Is it normal or usual to have 14000 tables on one database? The reasons why we did this was, Easy maintenance and per client based customization. Now, the problem is, ndb cluster can only support, 20320 tables. But it can support 5,000,000,000 rows in one table if I'm not wrong. My real head ache is my cluster data node takes less than two minutes to startup with out any data. But as soon as convert my tables into ndb, that too only 2000 tables, data node takes at least 30 to 40 mins to start up. Is it normal? If I convertt all my tables into ndb, will it take even longer? Or let's say if consolidate my 14000 table's data into one, which is 130 tables, will it help? Or is there anything idiotically wrong which I'm doing? I'll attach my config.ini file soon. here's the simple overview of my config Datamemory = 14G Indexmemory = 3GB Maxnooftable = 14000 Maxnoofattributes = 78000 I'm just testing these values with 2000 tables first. Please advise, how to increase the start up speed. Please point out where I'm going wrong. Thanks in advance guys!

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