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  • Search Engine Optimization - Developing Your Powerful SEO Gameplan

    Deciding on what to do with your traffic generation business may be a little bit sticky. Should you change your search engine optimization gameplan? Or stick with what you have right now? Given the fact that half million of search engine optimization experts are doing the same thing like you. Developing an SEO didactic tactic plays a big part in your SEO gameplan.

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  • The Basics of Search Engine Optimization

    What is search engine optimization? Search engine optimization or 'SEO' for short is method of using keywords or phrases of keywords that are targeted for your site helping it to rank high in the search engine results. What this means is that when someone types a keyword or phrase that you have chosen to target your site should come out on top if done right.

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  • question about MySQL database migration

    - by WilliamLou
    Hi there: If I have a MySQL database with several tables on a live server, now I would like to migrate this database to another server. Of course, the migration I mean here involves some database tables, for example: add some new columns to several tables, add some new tables etc.. Now, the only method I can think of is to use some php/python(two scripts I know) script, connect two databases, dump the data from the old database, and then write into the new database. However, this method is not efficient at all. For example: in old database, table A has 28 columns; in new database, table A has 29 columns, but the extra column will have default value 0 for all the old rows. My script still needs to dump the data row by row and insert each row into the new database. Is there any tools or a better method than writing a script yourself? Here, I dont need to worry about multithread writing problems etc.., I mean the old database will be down (not open to public usage etc.., only for upgrade ) for a while. Thanks!!

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  • Cant get php script to connect to asterisk internal mysql database

    - by Bilbo
    Im trying to get a PHP script to connect to Asterisks internal sql database. I tried the to use the standard method for example $con = mysqli_connect("192.168.1.126","root","mysql","asterisk"); However when I log into the asterisk server to access the mysql database all i need it to type "mysql" and im logged in. Im wondering is it possible for my php script to connect to asterisk internal database. //edit The following mysql error is shown Warning: mysqli_connect(): (HY000/2003): Can't connect to MySQL server on '192.168.1.126' (111) in /var/www/html/project/sipSubScript.php on line 6 Failed to connect to MySQL: Can't connect to MySQL server on '192.168.1.126' (111)

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  • Ideas for scaling out database architecture

    - by andrew
    We're looking to scale out our existing database architecture and need some advice on which way to go. We currently have 2 web servers behind a load balancer that both read & write to a single master database which replicates to a slave. Ideally, I'd like each of the webservers to point to their own master DB and have the data between the 2 synchronised but from what I've read, using any kind of master-master or ring-replication is discouraged. I'm looking for a general "what do other people do" kind of answer - database vendor isn't a concern at the moment but we'd like to stay with MySQL or convert to MSSQL. Any ideas would be gratefully received. Many thanks, Andrew

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  • Cant connect to asterisk internal database [on hold]

    - by Bilbo
    Im trying to get a PHP script to connect to Asterisks internal mysql database. I tried the to use the standard method for example $con = mysqli_connect("192.168.1.126","root","mysql","asterisk"); However when I log into the asterisk server to access the mysql database all i need it to type "mysql" and im logged in. Im wondering is it possible for my php script to connect to asterisk internal database. The following error is shown: Warning: mysqli_connect(): (HY000/2003): Can't connect to MySQL server on '192.168.1.126' (111) in /var/www/html/project/sipSubScript.php on line 6 Failed to connect to MySQL: Can't connect to MySQL server on '192.168.1.126' (111)

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  • Application Compatibility Clients do not show in MSSQL database, but do show in \AppCompat\

    - by rjt
    Application Compatibility Clients are not denied access to the central MSSQL database, but are able to leave their own files in the \AppCompat\ share. The only computer that shows up in the "Microsoft Application Compatibility Manager" database is the the machine i initially created the .MSI installer from. The MSI successfullly pushed out via GPO and like i said there are tons of file in the \AppCompat\ share from many different computers. But only 1 pc shows up in the "Data Collection Manager" database, so i only have data from one machine. i could manually add all these machines (ADNETBIOSNAME\MACHINENAME221$) to the MSSQL AppCompat db permissions list or use an SQL command to do so in batch, but i suspect i must have missed something. Do you manually edit the MSI to set the credentials?

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  • Importing photoimpact .ab3 file database into another album program

    - by Mel F
    I have Photoimpact Album v5 which has now maxed out at 65,000 photos with database information. I can export the database and file information to a csv or dbase 4 file but I cannot find any way to import the information to a competative Photo Organization/Database product like Adobe Lightroom, ACDSee Pro3 or Photo Collector, etc... which is more modern, will work on Vista/Windows7, and not have any file limitations. Any help would be greatly appreciated. I really cannot reinput data information for 65,000 photos manually. I would use any good software that I can transfer my files and data ifno to.

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  • Connection to SQL Server 2008 R2 Database Server is SLOW

    - by AbeP
    The database server is a VM running SQL Server 2008 R2 on top of Windows Server 2012, 24GB RAM allocated and 2TB of disk space. Overall, the database connections are very slow and one thing that stands out is that the connection to the database server via SSMS takes 5-10 seconds. On other much less powerful servers, it takes 1-2 seconds. The VM is technically way more powerful than other machines, but the connection to the server is too slow. So, my guess is the issue is network related, but any clues on where I should be looking? Thanks!

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  • Move MySQL database while instance is online

    - by Mike Scott
    I have a MySQL instance containing a number of databases, one of which is an archive database (although using the INNODB rather than ARCHIVE storage engine) that is not queried or written to in normal operation. The data filesystem is filling up and I'd like to move the archive database's data directory to a different filesystem (and then symlink it back, obviously). If there are no SQL statements attempting to query or update the data during the move, can I safely do this while the MySQL instance and the other databases stay online and in use? I plan to rsync the database directory to the new filesystem, then rename the old one on the original filesystem to something different and create the new symlink. lsof reports that MySQL does have the .ibd files open, so presumably it would have to reopen them.

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  • /data/tmp on database server?

    - by Mellon
    I am on a Linux ubuntu machine with MySQL installed. My teacher gave out an assignment which mentioned "copy cars.dat to /data/tmp on the MySQL database server" without any explanations, I do not know what is the "/data/tmp on database server" means exactly? Basically after that I need to execute SQL statement like LOAD DATA INFILE '/data/tmp/cars.dat' INTO TABLE cars So, what does copy cars.dat to /data/tmp on the database server means as there is no /data/tmp directory even? Personally, I checked /etc/mysql/my.cnf file, inside which there are definitions of : ... basedir = /usr datadir = /var/lib/mysql tmpdir = /tmp ... Does it mean to copy cars.dat to the tmpdir which is just /tmp under root directory??

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  • Simplest way to shrink transaction log files on a mirrored production database

    - by MGOwen
    What's the simplest way to shrink transaction log file on a mirrored production database? I have to, as my disk space is running out. I will make a full database backup before I do this, so I don't need to keep anything from the transaction log (right? I have daily full database backup, probably never need point-in-time restore, though I'll keep the option open if I can - that's all the .ldf is really for, correct?). (Hope this isn't an exact duplicate, I read a lot of questions but couldn't find this exact scenario elsewhere).

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  • Sql database dumps failing every night

    - by chaseman36
    Hey guys, I have sql05 and my maintenance plan which backs up a database to an external storage SAN, has been failing every night. Here is my error: Executing the query "BACKUP DATABASE [master] TO DISK = N'\\192.168.x.x\vmbackup\server\dbbackup\master_backup_201004222300.bak' WITH NOFORMAT, NOINIT, NAME = N'master_backup_20100422230002', SKIP, REWIND, NOUNLOAD, STATS = 10 " failed with the following error: "Cannot open backup device '\\192.168.x.x\vmbackup\server\dbbackup\master_backup_201004222300.bak'. Operating system error 5(Access is denied.). BACKUP DATABASE is terminating abnormally.". Possible failure reasons: Problems with the query, "ResultSet" property not set correctly, parameters not set correctly, or connection not established correctly. I googled this error and tried adding permissions to the backup device for network service as recommended at experts exchange, no dice. Does anyone have any ideas?

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  • Big Data – Operational Databases Supporting Big Data – Columnar, Graph and Spatial Database – Day 14 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the Key-Value Pair Databases and Document Databases in the Big Data Story. In this article we will understand the role of Columnar, Graph and Spatial Database supporting Big Data Story. Now we will see a few of the examples of the operational databases. Relational Databases (The day before yesterday’s post) NoSQL Databases (The day before yesterday’s post) Key-Value Pair Databases (Yesterday’s post) Document Databases (Yesterday’s post) Columnar Databases (Tomorrow’s post) Graph Databases (Today’s post) Spatial Databases (Today’s post) Columnar Databases  Relational Database is a row store database or a row oriented database. Columnar databases are column oriented or column store databases. As we discussed earlier in Big Data we have different kinds of data and we need to store different kinds of data in the database. When we have columnar database it is very easy to do so as we can just add a new column to the columnar database. HBase is one of the most popular columnar databases. It uses Hadoop file system and MapReduce for its core data storage. However, remember this is not a good solution for every application. This is particularly good for the database where there is high volume incremental data is gathered and processed. Graph Databases For a highly interconnected data it is suitable to use Graph Database. This database has node relationship structure. Nodes and relationships contain a Key Value Pair where data is stored. The major advantage of this database is that it supports faster navigation among various relationships. For example, Facebook uses a graph database to list and demonstrate various relationships between users. Neo4J is one of the most popular open source graph database. One of the major dis-advantage of the Graph Database is that it is not possible to self-reference (self joins in the RDBMS terms) and there might be real world scenarios where this might be required and graph database does not support it. Spatial Databases  We all use Foursquare, Google+ as well Facebook Check-ins for location aware check-ins. All the location aware applications figure out the position of the phone with the help of Global Positioning System (GPS). Think about it, so many different users at different location in the world and checking-in all together. Additionally, the applications now feature reach and users are demanding more and more information from them, for example like movies, coffee shop or places see. They are all running with the help of Spatial Databases. Spatial data are standardize by the Open Geospatial Consortium known as OGC. Spatial data helps answering many interesting questions like “Distance between two locations, area of interesting places etc.” When we think of it, it is very clear that handing spatial data and returning meaningful result is one big task when there are millions of users moving dynamically from one place to another place & requesting various spatial information. PostGIS/OpenGIS suite is very popular spatial database. It runs as a layer implementation on the RDBMS PostgreSQL. This makes it totally unique as it offers best from both the worlds. Courtesy: mushroom network Tomorrow In tomorrow’s blog post we will discuss about very important components of the Big Data Ecosystem – Hive. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Java: micro-optimizing array manipulation

    - by Martin Wiboe
    Hello all, I am trying to make a Java port of a simple feed-forward neural network. This obviously involves lots of numeric calculations, so I am trying to optimize my central loop as much as possible. The results should be correct within the limits of the float data type. My current code looks as follows (error handling & initialization removed): /** * Simple implementation of a feedforward neural network. The network supports * including a bias neuron with a constant output of 1.0 and weighted synapses * to hidden and output layers. * * @author Martin Wiboe */ public class FeedForwardNetwork { private final int outputNeurons; // No of neurons in output layer private final int inputNeurons; // No of neurons in input layer private int largestLayerNeurons; // No of neurons in largest layer private final int numberLayers; // No of layers private final int[] neuronCounts; // Neuron count in each layer, 0 is input // layer. private final float[][][] fWeights; // Weights between neurons. // fWeight[fromLayer][fromNeuron][toNeuron] // is the weight from fromNeuron in // fromLayer to toNeuron in layer // fromLayer+1. private float[][] neuronOutput; // Temporary storage of output from previous layer public float[] compute(float[] input) { // Copy input values to input layer output for (int i = 0; i < inputNeurons; i++) { neuronOutput[0][i] = input[i]; } // Loop through layers for (int layer = 1; layer < numberLayers; layer++) { // Loop over neurons in the layer and determine weighted input sum for (int neuron = 0; neuron < neuronCounts[layer]; neuron++) { // Bias neuron is the last neuron in the previous layer int biasNeuron = neuronCounts[layer - 1]; // Get weighted input from bias neuron - output is always 1.0 float activation = 1.0F * fWeights[layer - 1][biasNeuron][neuron]; // Get weighted inputs from rest of neurons in previous layer for (int inputNeuron = 0; inputNeuron < biasNeuron; inputNeuron++) { activation += neuronOutput[layer-1][inputNeuron] * fWeights[layer - 1][inputNeuron][neuron]; } // Store neuron output for next round of computation neuronOutput[layer][neuron] = sigmoid(activation); } } // Return output from network = output from last layer float[] result = new float[outputNeurons]; for (int i = 0; i < outputNeurons; i++) result[i] = neuronOutput[numberLayers - 1][i]; return result; } private final static float sigmoid(final float input) { return (float) (1.0F / (1.0F + Math.exp(-1.0F * input))); } } I am running the JVM with the -server option, and as of now my code is between 25% and 50% slower than similar C code. What can I do to improve this situation? Thank you, Martin Wiboe

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  • Optimize css vs Google page speed is messing with me

    - by The Disintegrator
    I'm using google page speed and it's telling me my css is inefficient... Very inefficient rules (good to fix on any page): * table.fancy thead td Tag key with 2 descendant selectors and Class overly qualified with tag * table.fancy tfoot td Tag key with 2 descendant selectors and Class overly qualified with tag The css rules are table.fancy {border: 1px solid white; padding:5px} table.fancy td {background:#656165} table.fancy thead td, table.fancy tfoot td {background:#767276} I want the header and footer in a different background color than the body of the table (a data table) On what grounds this is inefficient? How to make it more efficient? I will not add a class to the thead and tfoot for googles's sake.

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  • optimizing an sql query using inner join and order by

    - by Sergio B
    I'm trying to optimize the following query without success. Any idea where it could be indexed to prevent the temporary table and the filesort? EXPLAIN SELECT SQL_NO_CACHE `groups`.* FROM `groups` INNER JOIN `memberships` ON `groups`.id = `memberships`.group_id WHERE ((`memberships`.user_id = 1) AND (`memberships`.`status_code` = 1 AND `memberships`.`manager` = 0)) ORDER BY groups.created_at DESC LIMIT 5;` +----+-------------+-------------+--------+--------------------------+---------+---------+---------------------------------------------+------+----------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------------+--------+--------------------------+---------+---------+---------------------------------------------+------+----------------------------------------------+ | 1 | SIMPLE | memberships | ref | grp_usr,grp,usr,grp_mngr | usr | 5 | const | 5 | Using where; Using temporary; Using filesort | | 1 | SIMPLE | groups | eq_ref | PRIMARY | PRIMARY | 4 | sportspool_development.memberships.group_id | 1 | | +----+-------------+-------------+--------+--------------------------+---------+---------+---------------------------------------------+------+----------------------------------------------+ 2 rows in set (0.00 sec) +--------+------------+-----------------------------------+--------------+-----------------+-----------+-------------+----------+--------+------+------------+---------+ | Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | +--------+------------+-----------------------------------+--------------+-----------------+-----------+-------------+----------+--------+------+------------+---------+ | groups | 0 | PRIMARY | 1 | id | A | 6 | NULL | NULL | | BTREE | | | groups | 1 | index_groups_on_name | 1 | name | A | 6 | NULL | NULL | YES | BTREE | | | groups | 1 | index_groups_on_privacy_setting | 1 | privacy_setting | A | 6 | NULL | NULL | YES | BTREE | | | groups | 1 | index_groups_on_created_at | 1 | created_at | A | 6 | NULL | NULL | YES | BTREE | | | groups | 1 | index_groups_on_id_and_created_at | 1 | id | A | 6 | NULL | NULL | | BTREE | | | groups | 1 | index_groups_on_id_and_created_at | 2 | created_at | A | 6 | NULL | NULL | YES | BTREE | | +--------+------------+-----------------------------------+--------------+-----------------+-----------+-------------+----------+--------+------+------------+---------+ +-------------+------------+----------------------------------------------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+ | Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | +-------------+------------+----------------------------------------------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+ | memberships | 0 | PRIMARY | 1 | id | A | 2 | NULL | NULL | | BTREE | | | memberships | 0 | grp_usr | 1 | group_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 0 | grp_usr | 2 | user_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | grp | 1 | group_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | usr | 1 | user_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | grp_mngr | 1 | group_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | grp_mngr | 2 | manager | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | complex_index | 1 | group_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | complex_index | 2 | user_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | complex_index | 3 | status_code | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | complex_index | 4 | manager | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | index_memberships_on_user_id_and_status_code_and_manager | 1 | user_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | index_memberships_on_user_id_and_status_code_and_manager | 2 | status_code | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | index_memberships_on_user_id_and_status_code_and_manager | 3 | manager | A | 2 | NULL | NULL | YES | BTREE | | +-------------+------------+----------------------------------------------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+

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  • Is possible to reuse subqueries?

    - by Gothmog
    Hello, I'm having some problems trying to perform a query. I have two tables, one with elements information, and another one with records related with the elements of the first table. The idea is to get in the same row the element information plus several records information. Structure could be explain like this: table [ id, name ] [1, '1'], [2, '2'] table2 [ id, type, value ] [1, 1, '2009-12-02'] [1, 2, '2010-01-03'] [1, 4, '2010-01-03'] [2, 1, '2010-01-02'] [2, 2, '2010-01-02'] [2, 2, '2010-01-03'] [2, 3, '2010-01-07'] [2, 4, '2010-01-07'] And this is want I would like to achieve: result [id, name, Column1, Column2, Column3, Column4] [1, '1', '2009-12-02', '2010-01-03', , '2010-01-03'] [2, '2', '2010-01-02', '2010-01-02', '2010-01-07', '2010-01-07'] The following query gets the proper result, but it seems to me extremely inefficient, having to iterate table2 for each column. Would be possible in anyway to do a subquery and reuse it? SELECT a.id, a.name, (select min(value) from table2 t where t.id = subquery.id and t.type = 1 group by t.type) as Column1, (select min(value) from table2 t where t.id = subquery.id and t.type = 2 group by t.type) as Column2, (select min(value) from table2 t where t.id = subquery.id and t.type = 3 group by t.type) as Column3, (select min(value) from table2 t where t.id = subquery.id and t.type = 4 group by t.type) as Column4 FROM (SELECT distinct id FROM table2 t WHERE (t.type in (1, 2, 3, 4)) AND t.value between '2010-01-01' and '2010-01-07') as subquery LEFT JOIN table a ON a.id = subquery.id

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  • Write a compiler for a language that looks ahead and multiple files?

    - by acidzombie24
    In my language I can use a class variable in my method when the definition appears below the method. It can also call methods below my method and etc. There are no 'headers'. Take this C# example. class A { public void callMethods() { print(); B b; b.notYetSeen(); public void print() { Console.Write("v = {0}", v); } int v=9; } class B { public void notYetSeen() { Console.Write("notYetSeen()\n"); } } How should I compile that? what i was thinking is: pass1: convert everything to an AST pass2: go through all classes and build a list of define classes/variable/etc pass3: go through code and check if there's any errors such as undefined variable, wrong use etc and create my output But it seems like for this to work I have to do pass 1 and 2 for ALL files before doing pass3. Also it feels like a lot of work to do until I find a syntax error (other than the obvious that can be done at parse time such as forgetting to close a brace or writing 0xLETTERS instead of a hex value). My gut says there is some other way. Note: I am using bison/flex to generate my compiler.

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  • Optimizing mathematics on arrays of floats in Ada 95 with GNATC

    - by mat_geek
    Consider the bellow code. This code is supposed to be processing data at a fixed rate, in one second batches, It is part of an overal system and can't take up too much time. When running over 100 lots of 1 seconds worth of data the program takes 35 seconds; or 35%. How do I improce the code to get the processing time down to a minimum? The code will be running on an Intel Pentium-M which is a P3 with SSE2. package FF is new Ada.Numerics.Generic_Elementary_Functions(Float); N : constant Integer := 820; type A is array(1 .. N) of Float; type A3 is array(1 .. 3) of A; procedure F(state : in out A3; result : out A3; l : in A; r : in A) is s : Float; t : Float; begin for i in 1 .. N loop t := l(i) + r(i); t := t / 2.0; state(1)(i) := t; state(2)(i) := t * 0.25 + state(2)(i) * 0.75; state(3)(i) := t * 1.0 /64.0 + state(2)(i) * 63.0 /64.0; for r in 1 .. 3 loop s := state(r)(i); t := FF."**"(s, 6.0) + 14.0; if t > MAX then t := MAX; elsif t < MIN then t := MIN; end if; result(r)(i) := FF.Log(t, 2.0); end loop; end loop; end;

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  • PostgreSQL - Why are some queries on large datasets so incredibly slow

    - by Brad Mathews
    Hello, I have two types of queries I run often on two large datasets. They run much slower than I would expect them to. The first type is a sequential scan updating all records: Update rcra_sites Set street = regexp_replace(street,'/','','i') rcra_sites has 700,000 records. It takes 22 minutes from pgAdmin! I wrote a vb.net function that loops through each record and sends an update query for each record (yes, 700,000 update queries!) and it runs in less than half the time. Hmmm.... The second type is a simple update with a relation and then a sequential scan: Update rcra_sites as sites Set violations='No' From narcra_monitoring as v Where sites.agencyid=v.agencyid and v.found_violation_flag='N' narcra_monitoring has 1,700,000 records. This takes 8 minutes. The query planner refuses to use my indexes. The query runs much faster if I start with a set enable_seqscan = false;. I would prefer if the query planner would do its job. I have appropriate indexes, I have vacuumed and analyzed. I optimized my shared_buffers and effective_cache_size best I know to use more memory since I have 4GB. My hardware is pretty darn good. I am running v8.4 on Windows 7. Is PostgreSQL just this slow? Or am I still missing something? Thanks! Brad

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  • Postgres query optmization

    - by hdx
    Hey guys, trying to optimize this query to solve a duplicate user issue: SELECT userid, 'ismaster' AS name, 'false' AS propvalue FROM user WHERE userid NOT IN (SELECT userid FROM userprop WHERE name = 'ismaster'); The problem is that the select after the NOT IN is 120.000 records and it's taking forever. Any suggestion?

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  • Opening a password encrypted access database using DAO VB.NET

    - by prasoon99
    I create a database like this: Sub Main() Dim wrkDefault As Workspace Dim dbE As DBEngine Dim dbs As Database 'Get default Workspace. dbE = New DBEngine wrkDefault = dbE.Workspaces(0) 'Set the database filename Dim DBFilename As String DBFilename = "c:\mydb.mdb" 'Make sure there isn't already a file with the same name of 'the new database file. If Dir(DBFilename) <> "" Then MsgBox("File already exists!") Exit Sub End If 'Create a new encrypted database with the specified 'collating order. 'lock database with the password 'hello' dbs = wrkDefault.CreateDatabase(DBFilename, _ LanguageConstants.dbLangGeneral & ";pwd=hello;", DatabaseTypeEnum.dbEncrypt) dbs.Close() End Sub How do I open this database again in VB.NET using DAO?

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  • Catch database exception in Kohana

    - by danilo
    I'm using Kohana 2. I would like to catch a database exception to prevent an error page when no connection to the server can be established. The error displayed is system/libraries/drivers/Database/Mysql.php [61]: mysql_connect() [function.mysql-connect]: Lost connection to MySQL server at 'reading initial communication packet', system error: 110 The database server is not reachable at all at this point. I'm doing this from a model. I tried both public function __construct() { // load database library into $this->db try { parent::__construct(); } catch (Exception $e) { die('Database error occured'); } } as well as try { $hoststatus = $this->db->query('SELECT x FROM y WHERE z;'); } catch (Exception $e) { die('Database error occured'); } ...but none of them seemed to work. It seems as if no exception gets passed on from the main model. Is there another way to catch the database error and use my own error handling?

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  • Optimizing MySql query to avoid using "Using filesort"

    - by usef_ksa
    I need your help to optimize the query to avoid using "Using filesort".The job of the query is to select all the articles that belongs to specific tag. The query is: "select title from tag,article where tag='Riyad' AND tag.article_id=article.id order by tag.article_id". the tables structure are the following: Tag table CREATE TABLE `tag` ( `tag` VARCHAR( 30 ) NOT NULL , `article_id` INT NOT NULL , INDEX ( `tag` ) ) ENGINE = MYISAM ; Article table CREATE TABLE `article` ( `id` INT NOT NULL AUTO_INCREMENT PRIMARY KEY , `title` VARCHAR( 60 ) NOT NULL ) ENGINE = MYISAM Sample data INSERT INTO `article` VALUES (1, 'About Riyad'); INSERT INTO `article` VALUES (2, 'About Newyork'); INSERT INTO `article` VALUES (3, 'About Paris'); INSERT INTO `article` VALUES (4, 'About London'); INSERT INTO `tag` VALUES ('Riyad', 1); INSERT INTO `tag` VALUES ('Saudia', 1); INSERT INTO `tag` VALUES ('Newyork', 2); INSERT INTO `tag` VALUES ('USA', 2); INSERT INTO `tag` VALUES ('Paris', 3); INSERT INTO `tag` VALUES ('France', 3);

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