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  • Introduction à JPA, application au chargement de données depuis une base MySQL, par Thierry Leriche-Dessirier

    Bonjour à tous, Je vous propose un nouvel article rapide, intitulé "Introduction à JPA, application au chargement de données depuis une base MySQL" et disponible à l'adresse suivante : http://thierry-leriche-dessirier.dev...sql-jpa-intro/ Ce miniarticle montre (par l'exemple) comment charger des données depuis une base MySQL, à l'aide de JPA (Java Persistence API), en quelques minutes et en nous limitant aux fonctionnalités simples. Attention : La techno JPA (Java Persistence API) est relativement complexe. Dans cet article, nous n'abordons que les points faciles. Ceci n'est donc pas un tutoriel complet m...

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  • phpMyAdmin - Display all queries

    - by Carlos Fernández San Millán
    I have installed a fresh desktop with ubuntu quantal and the following packages versions: MySQL: 5.5.28-0ubuntu0.12.10.1 Apache: 2.2.22 (Ubuntu) phpMyAdmin: 3.4.11.1deb1 I would like phpmyadmin to display all the queries I run. How can I do it? Thank you very much. UPDATE To be more specific, there are some queries showing into the query box, but I would like phpMyAdmin to show ALL of them including when I export a Database (if possible). Thank you.

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  • Clustered MSDTC

    - by niel
    Hi I'm setting up a SQL cluster (SQL 2008), Windows 2008 R2. I enable the network access on local dtc and then create a DTC resource in my cluster . the problem is that when i start up the resource it does nto pull through my settings to enable network access. the log shows this: MSDTC started with the following settings: Security Configuration (OFF = 0 and ON = 1): Allow Remote Administrator = 0, Network Clients = 0, Trasaction Manager Communication: Allow Inbound Transactions = 0, Allow Outbound Transactions = 0, Transaction Internet Protocol (TIP) = 0, Enable XA Transactions = 0, Enable SNA LU 6.2 Transactions = 1, MSDTC Communications Security = Mutual Authentication Required, Account = NT AUTHORITY\NetworkService, Firewall Exclusion Detected = 0 Transaction Bridge Installed = 0 Filtering Duplicate Events = 1 where when i restart the local dtc service it says this: Security Configuration (OFF = 0 and ON = 1): Allow Remote Administrator = 0, Network Clients = 1, Trasaction Manager Communication: Allow Inbound Transactions = 1, Allow Outbound Transactions = 1, Transaction Internet Protocol (TIP) = 0, Enable XA Transactions = 1, Enable SNA LU 6.2 Transactions = 1, MSDTC Communications Security = No Authentication Required, Account = NT AUTHORITY\NetworkService, Firewall Exclusion Detected = 0 Transaction Bridge Installed = 0 Filtering Duplicate Events = 1 settings on both nodes in teh cluster is the same. I have reinstalled and restarted to many times to mention. Any ideas ?

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  • MySQL: Best of Breed Database

    - by Bertrand Matthelié
    Oracle offers best of breed technology at every layer of the stack, from servers and storage to applications. Discover why MySQL is a best of breed database solution for: Web-based applications, including the next generation of highly demanding web, cloud, mobile and social application Distributed applications requiring a powerful and reliable embedded database Custom and departmental enterprise applications on Windows and other platforms Check out our Resource Center to get access to white papers and other resources. And, remember to register for MySQL Connect if you haven’t done so yet. You can still save US$ 300 over the on-site fee – Register Now!

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  • simple sql group by custom groups question [migrated]

    - by alex
    imagine a mysql table that only has 2 columns, an id and a name of a color. with this query I know how many id's do I have for each color. SELECT color_name, count(id) FROM color_table GROUP BY (color_name); red:10 blue:5 yellow:3 green:1 my question is, is there a way I can specify to the "group by" some custom groups?? i mean, is there a query that results in this??: red:10 colors different than red: 9

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  • ???????/???MySQL?????? ??????

    - by Yusuke.Yamamoto
    ????? ??:2011/07/25 ??:??????/?? MySQL ??????????????????????????????Associate?Administrator?Developer?Cluster ?????????????????????????????????????????????????? MySQL 5 Certified Associate ?? / ????????????????MySQL 5 Developer Certified Professional ?? / ????????????????MySQL 5 Database Administrator Certified Professional ?? / ????????????????MySQL 5.1 Cluster Database Administrator Certified Expert ?? / ???????????????? ????????? ????????????????? http://otndnld.oracle.co.jp/ondemand/otn-seminar/movie/20110725MySQL_Cert.wmv http://www.oracle.com/technetwork/jp/ondemand/db-new/20110725-ou-cert-455765-ja.pdf

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  • Strange mysql problem moving website from Ubuntu server to Mac server

    - by evan
    I'm moving a website (php/mysql) from an Ubuntu server to a OSX 10.6 server. I've set up apache to run php scripts and setup the newest version of mysql on the mac. I just copied all of the php files and dumped/imported all of the mysql databases (including the mysql users database). When I visit the page being served on the Mac the page is able to connect to the database, but not query. Specifically this function mysql_error() is returning this error message NO SUCH FILE OR DIRECTORY The reason it's strange is that I'm able to change the php connection strings for mysql on the Ubuntu server so that it points to the Mac server and the page works correctly (so it seems mysql is correctly set up on the mac and definitely contains all of the users and tables it should). Thinking it was something to do with file permissions on the mac, I've changed all of the files 755 and it hasn't helped. Any ideas? Thanks!! UPDATE: I've found this error which I'm relatively certain is related to this problem in /var/log/apache2/error_log PHP Warning: mysql_query(): A link to the server could not be established

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  • I have to shard a mysql database. I want to start with 12 shards on 2 machines. What is the best w

    - by Tim
    All tables are InnoDb. I would rather not use mysqldump, because the shard sizes will be about 200 GB (about 700 million rows), and that will take too long. I was hoping to just stop mysql for an hour, copy the data files to a new machine, and start back up. But you can't do this with InnoDb, as some data is in the shared tablespace. Even if I have the innodb_file_per_table option set. This is not a website, but a custom application, used by tens of thousands right now, so uptime and performance are important. I suppose I could add logic into my server application to allow for gradual rebalancing / moving of a shard. Does anyone have a better idea?

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  • setsockopt EOPNOTSUPP (Operation not supported)

    - by brant
    When I strace my MySQL process, I keep finding the same error over and over: setsockopt(240, SOL_IP, IP_TOS, [8], 4) = -1 EOPNOTSUPP (Operation not supported) futex(0x87ab944, FUTEX_WAKE_OP_PRIVATE, 1, 1, 0x87ab940, {FUTEX_OP_SET, 0, FUTEX_OP_CMP_GT, 1}) = 1 futex(0x87ab260, FUTEX_WAKE_PRIVATE, 1) = 1 select(13, [10 12], NULL, NULL, NULL) = 1 (in [12]) fcntl64(12, F_SETFL, O_RDWR|O_NONBLOCK) = 0 accept(12, {sa_family=AF_FILE, path="\246\32629iE"...}, [2]) = 803 fcntl64(12, F_SETFL, O_RDWR) = 0 getsockname(803, {sa_family=AF_FILE, path="/var/lib/mysql\1"...}, [28]) = 0 fcntl64(803, F_SETFL, O_RDONLY) = 0 fcntl64(803, F_GETFL) = 0x2 (flags O_RDWR) fcntl64(803, F_SETFL, O_RDWR|O_NONBLOCK) = 0 setsockopt(803, SOL_IP, IP_TOS, [8], 4) = -1 EOPNOTSUPP (Operation not supported) futex(0x87ab944, FUTEX_WAKE_OP_PRIVATE, 1, 1, 0x87ab940, {FUTEX_OP_SET, 0, FUTEX_OP_CMP_GT, 1}) = 1 futex(0x87ab260, FUTEX_WAKE_PRIVATE, 1) = 1 select(13, [10 12], NULL, NULL, NULL) = 1 (in [12]) fcntl64(12, F_SETFL, O_RDWR|O_NONBLOCK) = 0 accept(12, {sa_family=AF_FILE, path="\246\32629iE"...}, [2]) = 240 fcntl64(12, F_SETFL, O_RDWR) = 0 getsockname(240, {sa_family=AF_FILE, path="/var/lib/mysql\1"...}, [28]) = 0 fcntl64(240, F_SETFL, O_RDONLY) = 0 fcntl64(240, F_GETFL) = 0x2 (flags O_RDWR) fcntl64(240, F_SETFL, O_RDWR|O_NONBLOCK) = 0 setsockopt(240, SOL_IP, IP_TOS, [8], 4) = -1 EOPNOTSUPP (Operation not supported) When I look for running mysql processes I don't see anything out of the ordinary. I figured it might be someplace in my code, so I modified .htaccess to spit out a 502 error to prevent it from loading anything. The error still shows up, just less frequently. There have been quite a few threads that talk about this error, but no real answer as to how to solve it. my.conf, as per request: [mysqld] #skip-networking #log-slow-queries #safe-show-database #local-infile = 0 log-slow-queries = /var/log/mysql-slow.log max_connections = 200 query_cache_limit = 128643200 key_buffer_size = 1200144000 low_priority_updates = 1 concurrent_insert = 2 thread_cache_size = 7 query_cache_size = 662144000 table_cache = 1600 table_definition_cache = 1024 long_query_time = 2.5 open_files_limit = 2647 max_connect_errors=999999999

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  • Easy Server Monitoring/Logging point in time solution?

    - by Andre Jay Marcelo-Tanner
    I managed my company's servers and I need to know if load spiked at 3am on the web or mysql server, what processes were active in apache or what queries were going on in mysql at that point in time and maybe any other information that will help me. I know all of that is in log files all over and its literally a PITA to look it all up and correlate data. isnt there 1 solution thats been invented. i know we have pingdom to monitor uptime and responsiveness. like if it has taken 30 seconds to load a page or an error was given by apache or php or mysql to the browser, i want to know that and what mysql processes were running at the time, the apache full status and maybe top output also. stuff like that also would be looking for a SAAS like cloudkick, something i dont have to spend an entire month of work hours setting up when we can pay for something cheaper.

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  • How to enable mysqli extension on redhat?

    - by nuthan
    My php.ini says: Additional .ini files parsed /etc/php53/php.d/curl.ini, /etc/php53/php.d/fileinfo.ini, /etc/php53/php.d/json.ini, /etc/php53/php.d/mysqli.ini, /etc/php53/php.d/mysql.ini, /etc/php53/php.d/pdo_mysql.ini, /etc/php53/php.d/phar.ini, /etc/php53/php.d/zip.ini mysqli.ini is loaded.. But still i get this, PHP Fatal error: Class 'mysqli' not found i tried enabling dynamic loading and initialize php scripts with dl("mysqli.so"); i also tried recompiling the php source: ./configure --with-mysql=/usr/lib64/mysql --with- mysqli=/usr/lib64/mysql/mysql_config even this didn't work. Can anybody help me solve my problem? Red Hat Enterprise Linux Server release 5 (Tikanga). x86_64 GNU/Linux. No access to RHN. Thanks.

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  • Best practices for building a simple, scalable cluster on Amazon EC2 for a Java web app

    - by Alex B
    I want to build a Java web app and deploy it on EC2. It will be written in Java and will use MySQL. I was hoping to get some pointers on the actual deployment process and configuration. In particular I'm interested in the following topics: machine images (diy vs ready made) mysql replication and backup to S3 ways of deploying and redeploying the app to EC2 without interruptions firewalls? load balancing and auto scaling cloudtools (or alternative tools)

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  • Possible to open a text file in a MYSQL stored procedure?

    - by futureelite7
    Is it possible to open and read from a text file in a MYSQL stored procedure? I have a text file with a list of about 50k telephone numbers, and want to write a stored procedure that will open the file, read the 50k lines and store it as rows in a table. I cannot load the file directly using LOAD IN FILE as the table has additional columns that I have to set. Thanks!

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  • Python: Improving long cumulative sum

    - by Bo102010
    I have a program that operates on a large set of experimental data. The data is stored as a list of objects that are instances of a class with the following attributes: time_point - the time of the sample cluster - the name of the cluster of nodes from which the sample was taken code - the name of the node from which the sample was taken qty1 = the value of the sample for the first quantity qty2 = the value of the sample for the second quantity I need to derive some values from the data set, grouped in three ways - once for the sample as a whole, once for each cluster of nodes, and once for each node. The values I need to derive depend on the (time sorted) cumulative sums of qty1 and qty2: the maximum value of the element-wise sum of the cumulative sums of qty1 and qty2, the time point at which that maximum value occurred, and the values of qty1 and qty2 at that time point. I came up with the following solution: dataset.sort(key=operator.attrgetter('time_point')) # For the whole set sys_qty1 = 0 sys_qty2 = 0 sys_combo = 0 sys_max = 0 # For the cluster grouping cluster_qty1 = defaultdict(int) cluster_qty2 = defaultdict(int) cluster_combo = defaultdict(int) cluster_max = defaultdict(int) cluster_peak = defaultdict(int) # For the node grouping node_qty1 = defaultdict(int) node_qty2 = defaultdict(int) node_combo = defaultdict(int) node_max = defaultdict(int) node_peak = defaultdict(int) for t in dataset: # For the whole system ###################################################### sys_qty1 += t.qty1 sys_qty2 += t.qty2 sys_combo = sys_qty1 + sys_qty2 if sys_combo > sys_max: sys_max = sys_combo # The Peak class is to record the time point and the cumulative quantities system_peak = Peak(time_point=t.time_point, qty1=sys_qty1, qty2=sys_qty2) # For the cluster grouping ################################################## cluster_qty1[t.cluster] += t.qty1 cluster_qty2[t.cluster] += t.qty2 cluster_combo[t.cluster] = cluster_qty1[t.cluster] + cluster_qty2[t.cluster] if cluster_combo[t.cluster] > cluster_max[t.cluster]: cluster_max[t.cluster] = cluster_combo[t.cluster] cluster_peak[t.cluster] = Peak(time_point=t.time_point, qty1=cluster_qty1[t.cluster], qty2=cluster_qty2[t.cluster]) # For the node grouping ##################################################### node_qty1[t.node] += t.qty1 node_qty2[t.node] += t.qty2 node_combo[t.node] = node_qty1[t.node] + node_qty2[t.node] if node_combo[t.node] > node_max[t.node]: node_max[t.node] = node_combo[t.node] node_peak[t.node] = Peak(time_point=t.time_point, qty1=node_qty1[t.node], qty2=node_qty2[t.node]) This produces the correct output, but I'm wondering if it can be made more readable/Pythonic, and/or faster/more scalable. The above is attractive in that it only loops through the (large) dataset once, but unattractive in that I've essentially copied/pasted three copies of the same algorithm. To avoid the copy/paste issues of the above, I tried this also: def find_peaks(level, dataset): def grouping(object, attr_name): if attr_name == 'system': return attr_name else: return object.__dict__[attrname] cuml_qty1 = defaultdict(int) cuml_qty2 = defaultdict(int) cuml_combo = defaultdict(int) level_max = defaultdict(int) level_peak = defaultdict(int) for t in dataset: cuml_qty1[grouping(t, level)] += t.qty1 cuml_qty2[grouping(t, level)] += t.qty2 cuml_combo[grouping(t, level)] = (cuml_qty1[grouping(t, level)] + cuml_qty2[grouping(t, level)]) if cuml_combo[grouping(t, level)] > level_max[grouping(t, level)]: level_max[grouping(t, level)] = cuml_combo[grouping(t, level)] level_peak[grouping(t, level)] = Peak(time_point=t.time_point, qty1=node_qty1[grouping(t, level)], qty2=node_qty2[grouping(t, level)]) return level_peak system_peak = find_peaks('system', dataset) cluster_peak = find_peaks('cluster', dataset) node_peak = find_peaks('node', dataset) For the (non-grouped) system-level calculations, I also came up with this, which is pretty: dataset.sort(key=operator.attrgetter('time_point')) def cuml_sum(seq): rseq = [] t = 0 for i in seq: t += i rseq.append(t) return rseq time_get = operator.attrgetter('time_point') q1_get = operator.attrgetter('qty1') q2_get = operator.attrgetter('qty2') timeline = [time_get(t) for t in dataset] cuml_qty1 = cuml_sum([q1_get(t) for t in dataset]) cuml_qty2 = cuml_sum([q2_get(t) for t in dataset]) cuml_combo = [q1 + q2 for q1, q2 in zip(cuml_qty1, cuml_qty2)] combo_max = max(cuml_combo) time_max = timeline.index(combo_max) q1_at_max = cuml_qty1.index(time_max) q2_at_max = cuml_qty2.index(time_max) However, despite this version's cool use of list comprehensions and zip(), it loops through the dataset three times just for the system-level calculations, and I can't think of a good way to do the cluster-level and node-level calaculations without doing something slow like: timeline = defaultdict(int) cuml_qty1 = defaultdict(int) #...etc. for c in cluster_list: timeline[c] = [time_get(t) for t in dataset if t.cluster == c] cuml_qty1[c] = [q1_get(t) for t in dataset if t.cluster == c] #...etc. Does anyone here at Stack Overflow have suggestions for improvements? The first snippet above runs well for my initial dataset (on the order of a million records), but later datasets will have more records and clusters/nodes, so scalability is a concern. This is my first non-trivial use of Python, and I want to make sure I'm taking proper advantage of the language (this is replacing a very convoluted set of SQL queries, and earlier versions of the Python version were essentially very ineffecient straight transalations of what that did). I don't normally do much programming, so I may be missing something elementary. Many thanks!

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  • cPanel web server redundancy advice?

    - by crgnz
    At present I operate a (reasonably low volume) web-hosting service with a Centos 5.3 server running cPanel/WHM. I would like to implement a level of redundancy such that in the event of server failure, I can restore service with a minimum of effort in less than 60 minutes. I also want to setup a secondary DNS that cPanel will replicate with. My current idea is to kill two birds with one stone by: My current server is called "www1" Purchase an identical server (HP DL360 G4) with mirrored disks. Call this server "www2" Install Centos 5.4 (or perhaps I should install 5.3 to be identical with www1) Install cPanel/WHM on this server and fully license it Setup www1 and www2 cPanel to replicate DNS with each other Setup a nightly replication script that does the following: a) rsync's the /home directory from www1 to www2 b) dumps all MySQL databases on www1 and copies them to a temp folder (with root access only) on www2 c) triggers a script to run on www2 that restores the MySQL dumps Thus each night a fully working copy of all the websites and MySQL databases is copied to www2. I do not have enough knowledge of MySQL replication to understand if it works safely and transparently with cPanel. Thus I propose the mysql dump/copy/restore due to not knowing any better! In the event that www1 dies a horrible death, I envisage that I could login to www2, change the IP addresses to those that www1 had, and presto, the websites are available again. The advantage of this idea is that it is fairly simple and "low tech" and thus does not require an expert sysadmin to setup and monitor (I am NOT an expert sysadmin) The disadvantage of this idea is that up to a full days worth of data changes would be lost. I think this would be acceptable to the sorts of customers I host at the moment. The other disadvantage would be having to pay for a full cPanel license, but I am comfortable with that cost, so for now all I want to discuss are technical considerations. Is this a sound scheme?

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  • Why does this pdo::mysql code crash on windows??

    - by user154107
    Why does this pdo::mysql code crash on windows??? <?php $username = "root"; $password = ""; try { $dsn = "mysql:host=localhost;dbname=employees"; $dbh = new PDO($dsn, $username, $password); $dbh->setAttribute(PDO::ATTR_EMULATE_PREPARES, FALSE); $dbh->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION); echo "Connected to database<br />" ; $dbh->exec("DROP TABLE IF EXISTS vCard;"); $dbh->exec("DROP TABLE IF EXISTS emp;"); $table = "CREATE TABLE vCard( id INT(4) NOT NULL PRIMARY KEY, firstName VARCHAR (255), lastName VARCHAR (255), office VARCHAR (255), homePh VARCHAR (13), mobilePh VARCHAR (13))"; $dbh->exec($table); $dbh->beginTransaction(); $dbh->exec("INSERT INTO vCard(id, firstName, lastName, office, homePh, mobilePh) VALUES (4834, 'Randy', 'Lewis', 'SR. Front End Developer', '631-842-3375', '917-435-2245');"); $dbh->exec("INSERT INTO vCard(id, firstName, lastName, office, homePh, mobilePh) VALUES (0766, 'Frank', 'LaGuy', 'Graphic Designer', '631-789-8244', '917-324-9897');"); $dbh->exec("INSERT INTO vCard(id, firstName, lastName, office, homePh, mobilePh) VALUES (6684, 'Donnie', 'Dolemite', 'COO', '631-789-9482', '917-234-1222');"); $dbh->exec("INSERT INTO vCard(id, firstName, lastName, office, homePh, mobilePh) VALUES (8569, '', 'McLovin', 'Actor', '631-842-9786', '917-987-8944');"); $dbh->commit(); echo "Data entered successfully<br/><br/>"; $sql = "SELECT * FROM vCard"; // WHERE firstName = 'Donnie'"; $results = $dbh->query($sql); foreach ($results as $id){ echo "SSN: ". $id['id']." "; echo "First Name: ". $id['firstName']." "; echo "Last Name: ". $id['lastName']."<br/>"; } } catch (PDOException $e) { echo "Failed: " . $e->getMessage(); $dbh->rollback(); } ?> basically this line of code is what triggers Apache to crash.. $sql = "SELECT * FROM vCard"; If I try to select one value like 'id' it'll ... when I try to select more than one value "*" it crashes??????

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  • What's the best way to store a MySQL database in source control?

    - by Marplesoft
    I am working on an application with a few other people and we'd like to store our MySQL database in source control. My thoughts are two have two files: one would be the create script for the tables, etc, and the other would be the inserts for our sample data. Is this a good approach? Also, what's the best way to export this information? Also, any suggestions for workflow in terms of ways to speed up the process of making changes, exporting, updating, etc.

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  • Running Awk command on a cluster

    - by alex
    How do you execute a Unix shell command (awk script, a pipe etc) on a cluster in parallel (step 1) and collect the results back to a central node (step 2) Hadoop seems to be a huge overkill with its 600k LOC and its performance is terrible (takes minutes just to initialize the job) i don't need shared memory, or - something like MPI/openMP as i dont need to synchronize or share anything, don't need a distributed VM or anything as complex Google's SawZall seems to work only with Google proprietary MapReduce API some distributed shell packages i found failed to compile, but there must be a simple way to run a data-centric batch job on a cluster, something as close as possible to native OS, may be using unix RPC calls i liked rsync simplicity but it seem to update remote notes sequentially, and you cant use it for executing scripts as afar as i know switching to Plan 9 or some other network oriented OS looks like another overkill i'm looking for a simple, distributed way to run awk scripts or similar - as close as possible to data with a minimal initialization overhead, in a nothing-shared, nothing-synchronized fashion Thanks Alex

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