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Category: MySQL (Page 1 of 11)

How To Convert Access to MySQL

Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 7.48 MB

Downloadable formats: PDF

Here and there we visit spot to put for quality fabric and most recent outlines yet once in a while locate a sort of spot where we satisfy our necessities. "In this era of internet shopping the standards of shopping have changedsignificantly. You can have highly relational data in Mongo, it is just less efficient to query/update many related collections, but many apps often only update 1 related model at a time, or can be better represented as nested data structures instead of relations.

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Learning MySQL

Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 13.75 MB

Downloadable formats: PDF

Run the below query you can get the Data Base Size in MySQL. PWT56 is a rich macroeconomic panel dataset, spanning 152 countries over the years 1950 to 1992. It is a step by step process that cannot be carried out haphazardly. The era of Big Data and Data Analytics has ushered in an exciting wave of new tools and businesses centered on providing meaningful analysis from the endless waves of new data.

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MySQL High Availability: Tools for Building Robust Data

Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 9.04 MB

Downloadable formats: PDF

This function returns a resource which is a pointer to the database connection. As more processing requirements grow, you need to have infrastructure that can handle volumes of data and increased processing demands. Twitter Manhattan - real-time, multi-tenant distributed database for Twitter scale. Please read the MusicBrainz Database product page and the database schema the rest of MusicBrainz Server, or; Use an alternative MySQL setup using mbzdb.

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PHP & MySQL For Dummies 3rd edition (For Dummies

Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 8.25 MB

Downloadable formats: PDF

As the world's most popular open source database and the most deployed database in the web and cloud, MySQL is a key component of many big data platforms, with Hadoop vendors estimating that 80% of deployments are integrated with MySQL. The following SQL statement removes a row from our products table where the prod_id field is equal 12134: DELETE FROM products WHERE prod_id = 12134; Keep in mind when using the DELETE statement to remove all rows in a table that only the rows are removed, and that the table itself remains.

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MySQL Database Usage & Administration

Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 14.07 MB

Downloadable formats: PDF

It calculated these times by combining publicly available data about weather, flight schedules, and other factors with proprietary data the company itself collected, including feeds from a network of passive radar stations it had installed near airports to gather data about every plane in the local sky. To the following where I created a boolean flag to which I pass as a parameter in the function: if($compression) { $zp = gzopen(BACKUP_PATH. 'db-backup-'.time().'-'.(md5(implode(',',$tables))).'.sql.gz', "w9"); gzwrite($zp, $return); gzclose($zp); } else { //save file $handle = fopen(BACKUP_PATH. 'db-backup-'.time().'-'.(md5(implode(',',$tables))).'.sql','w+'); fwrite($handle,$return); fclose($handle); } /* Version with VIEW */ /* backup the db OR just a table */ function backup_tables($host,$user,$pass,$name,$tables = '*') { $first_table_veriable=$tables; $return=null; $link = mysql_connect($host,$user,$pass); mysql_select_db($name,$link); // BASE TABLE SAVE //get all of the tables if($tables == '*') { $tables = array(); $result = mysql_query("SHOW FULL TABLES WHERE Table_type = 'BASE TABLE'"); while($row = mysql_fetch_row($result)) { $tables[] = $row[0]; } } else { $tables = is_array($tables)? $tables: explode(',',$tables); } //cycle through foreach($tables as $table) { $result = mysql_query('SELECT * FROM '.$table); $num_fields = mysql_num_fields($result); $return.= 'DROP TABLE IF EXISTS '.$table.';'; $row2 = mysql_fetch_row(mysql_query('SHOW CREATE TABLE '.$table)); $return.= "\n\n".$row2[1].";\n\n"; for ($i = 0; $i < $num_fields; $i++) { while($row = mysql_fetch_row($result)) { $return.= 'INSERT INTO '.$table.' VALUES('; for($j=0; $j<$num_fields; $j++) { $row[$j] = addslashes($row[$j]); $row[$j] = ereg_replace("\n","\\n",$row[$j]); if (isset($row[$j])) { $return.= '"'.$row[$j].'"'; } else { $return.= '""'; } if ($j<($num_fields-1)) { $return.= ','; } } $return.= ");\n"; } } $return.="\n\n\n"; } // WIEW SAVE //get all of the tables $tables = $first_table_veriable; if($tables == '*') { $tables = array(); $result = mysql_query("SHOW FULL TABLES WHERE Table_type = 'VIEW'"); while($row = mysql_fetch_row($result)) { $tables[] = $row[0]; } } else { $tables = is_array($tables)? $tables: explode(',',$tables); } //cycle through foreach($tables as $table) { $result = mysql_query('SELECT * FROM '.$table); $return.= 'DROP TABLE IF EXISTS '.$table.';'; $row2 = mysql_fetch_row(mysql_query('SHOW CREATE VIEW '.$table)); $return.= "\n\n".$row2[1].";\n\n"; $return.="\n\n\n"; } //save file $file_name='db-backup.sql'; $handle = fopen($file_name,'w+'); fwrite($handle,$return); fclose($handle); return $file_name; } require 'login.php'; $DBH = new PDO("mysql:host=$db_hostname;dbname=$db_database; charset=utf8", $db_username, $db_password); //put table names you want backed up in this array. //leave empty to do all $tables = array(); backup_tables($DBH, $tables); function backup_tables($DBH, $tables) { $DBH->setAttribute(PDO::ATTR_ORACLE_NULLS, PDO::NULL_TO_STRING ); //Script Variables $compression = false; $BACKUP_PATH = ""; $nowtimename = time(); //create/open files if ($compression) { $zp = gzopen($BACKUP_PATH.$nowtimename.'.sql.gz', "w9"); } else { $handle = fopen($BACKUP_PATH.$nowtimename.'.sql','a+'); } //array of all database field types which just take numbers $numtypes=array('tinyint','smallint','mediumint','int','bigint','float','double','decimal','real'); //get all of the tables if(empty($tables)) { $pstm1 = $DBH->query('SHOW TABLES'); while ($row = $pstm1->fetch(PDO::FETCH_NUM)) { $tables[] = $row[0]; } } else { $tables = is_array($tables)? $tables: explode(',',$tables); } //cycle through the table(s) foreach($tables as $table) { $result = $DBH->query('SELECT * FROM '.$table); $num_fields = $result->columnCount(); $num_rows = $result->rowCount(); $return=""; //uncomment below if you want 'DROP TABLE IF EXISTS' displayed //$return.= 'DROP TABLE IF EXISTS `'.$table.'`;'; //table structure $pstm2 = $DBH->query('SHOW CREATE TABLE '.$table); $row2 = $pstm2->fetch(PDO::FETCH_NUM); $ifnotexists = str_replace('CREATE TABLE', 'CREATE TABLE IF NOT EXISTS', $row2[1]); $return.= "\n\n".$ifnotexists.";\n\n"; if ($compression) { gzwrite($zp, $return); } else { fwrite($handle,$return); } $return = ""; //insert values if ($num_rows){ $return= 'INSERT INTO `'.$table."` ("; $pstm3 = $DBH->query('SHOW COLUMNS FROM '.$table); $count = 0; $type = array(); while ($rows = $pstm3->fetch(PDO::FETCH_NUM)) { if (stripos($rows[1], '(')) {$type[$table][] = stristr($rows[1], '(', true); } else $type[$table][] = $rows[1]; $return.= $rows[0]; $count++; if ($count rowCount())) { $return.= ", "; } } $return.= ")".' VALUES'; if ($compression) { gzwrite($zp, $return); } else { fwrite($handle,$return); } $return = ""; } while($row = $result->fetch(PDO::FETCH_NUM)) { $return= "\n\t("; for($j=0; $j< $num_fields; $j++) { $row[$j] = addslashes($row[$j]); //$row[$j] = preg_replace("\n","\\n",$row[$j]); if (isset($row[$j])) { //if number, take away "". else leave as string if (in_array($type[$table][$j], $numtypes)) $return.= $row[$j]; else $return.= '"'.$row[$j].'"'; } else { $return.= '""'; } if ($j<($num_fields-1)) { $return.= ','; } } $count++; if ($count rowCount())) { $return.= "),"; } else { $return.= ");"; } if ($compression) { gzwrite($zp, $return); } else { fwrite($handle,$return); } $return = ""; } $return="\n\n-- ------------------------------------------------ \n\n"; if ($compression) { gzwrite($zp, $return); } else { fwrite($handle,$return); } $return = ""; } $error1= $pstm2->errorInfo(); $error2= $pstm3->errorInfo(); $error3= $result->errorInfo(); echo $error1[2]; echo $error2[2]; echo $error3[2]; if ($compression) { gzclose($zp); } else { fclose($handle); } } sorry, here is the final version with bugs ironed out and made a bit better. tested and works perfectly. enjoy. require_once 'login.php'; $DBH = new PDO("mysql:host=$db_hostname;dbname=$db_database; charset=utf8", $db_username, $db_password); //put table names you want backed up in this array. //leave empty to do all function backup_tables($DBH, $BACKUP_PATH, $tables) { $DBH->setAttribute(PDO::ATTR_ORACLE_NULLS, PDO::NULL_NATURAL ); //Script Variables $compression = false; $nowtimename = time(); //create/open files if ($compression) { $zp = gzopen($BACKUP_PATH.$nowtimename.'.sql.gz', "a9"); } else { $handle = fopen($BACKUP_PATH.$nowtimename.'.sql','a+'); } //array of all database field types which just take numbers $numtypes=array('tinyint','smallint','mediumint','int','bigint','float','double','decimal','real'); //get all of the tables if(empty($tables)) { $pstm1 = $DBH->query('SHOW TABLES'); while ($row = $pstm1->fetch(PDO::FETCH_NUM)) { $tables[] = $row[0]; } } else { $tables = is_array($tables)? $tables: explode(',',$tables); } //cycle through the table(s) foreach($tables as $table) { $result = $DBH->query("SELECT * FROM $table"); $num_fields = $result->columnCount(); $num_rows = $result->rowCount(); $return=""; //uncomment below if you want 'DROP TABLE IF EXISTS' displayed //$return.= 'DROP TABLE IF EXISTS `'.$table.'`;'; //table structure $pstm2 = $DBH->query("SHOW CREATE TABLE $table"); $row2 = $pstm2->fetch(PDO::FETCH_NUM); $ifnotexists = str_replace('CREATE TABLE', 'CREATE TABLE IF NOT EXISTS', $row2[1]); $return.= "\n\n".$ifnotexists.";\n\n"; if ($compression) { gzwrite($zp, $return); } else { fwrite($handle,$return); } $return = ""; //insert values if ($num_rows){ $return= 'INSERT INTO `'."$table"."` ("; $pstm3 = $DBH->query("SHOW COLUMNS FROM $table"); $count = 0; $type = array(); while ($rows = $pstm3->fetch(PDO::FETCH_NUM)) { if (stripos($rows[1], '(')) {$type[$table][] = stristr($rows[1], '(', true); } else $type[$table][] = $rows[1]; $return.= "`".$rows[0]."`"; $count++; if ($count rowCount())) { $return.= ", "; } } $return.= ")".' VALUES'; if ($compression) { gzwrite($zp, $return); } else { fwrite($handle,$return); } $return = ""; } $count =0; while($row = $result->fetch(PDO::FETCH_NUM)) { $return= "\n\t("; for($j=0; $jquote($row[$j]); } else { $return.= 'NULL'; } if ($j< ($num_fields-1)) { $return.= ','; } } $count++; if ($count rowCount())) { $return.= "),"; } else { $return.= ");"; } if ($compression) { gzwrite($zp, $return); } else { fwrite($handle,$return); } $return = ""; } $return="\n\n-- ------------------------------------------------ \n\n"; if ($compression) { gzwrite($zp, $return); } else { fwrite($handle,$return); } $return = ""; } $error1= $pstm2->errorInfo(); $error2= $pstm3->errorInfo(); $error3= $result->errorInfo(); echo $error1[2]; echo $error2[2]; echo $error3[2]; if ($compression) { gzclose($zp); } else { fclose($handle); } } Thank you for script.

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Beginning PHP and MySQL: From Novice to Professional

Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 14.67 MB

Downloadable formats: PDF

For example, systems that offer large amounts of RAM and multiple processors may still be constrained by disk I/O. Storm Applied - Storm Applied is a practical guide to using Apache Storm for the real-world tasks associated with processing and analyzing real-time data streams. Well, perhaps then you might want to have a look at Redshift. It links the data to yet another table, a reference table containing data on the client's store locations. Once they've finished their development task, then DBAs compare the development database to the production database and make the corresponding changes to the production database when promoting the software to live.

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Web Application Design and Implementation: Apache 2, PHP5,

Format: Hardcover

Language: English

Format: PDF / Kindle / ePub

Size: 9.96 MB

Downloadable formats: PDF

Running MongoDB with containers and orchestration introduces some additional considerations: MongoDB database nodes are stateful. This database contains a standard set of data to be audited, which includes a wide variety of intrusions simulated in a military network environment. task description. He has been teaching networking, security, and web application development. Two options are possible here: saving the database as a script or exporting the database directly to MySQL server.

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MySQL to DB2 Conversion Guide

Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 11.63 MB

Downloadable formats: PDF

As a table, this looks like: Now, with the MySQL data inside a Pandas DataFrame, its easy graph this data. It's growing and getting better at what it does, and I don't know [if] you could ever ramp up MapReduce and Yarn to get to where Spark is going to be. In order to use the downloadable databases, you must have a working knowledge of Microsoft Access. Jared Brown of Hubstaff points out that following the data storage practices of these apps lead to fewer security concerns and lower storage costs and headaches. 3.

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Have Fun with PHP and MySQL Quick Start Workbook

Format: Print Length

Language: English

Format: PDF / Kindle / ePub

Size: 14.93 MB

Downloadable formats: PDF

We recommend that you download Cloudera’s Distribution for Hadoop (CDH3) from the Cloudera Software Archive at http://archive.cloudera.com for straightforward installation of Hadoop on Linux systems. InnoDB then reports to the error log: InnoDB: Database page corruption on disk or a failed InnoDB: file read of page 4. Partition tolerance means that the cluster can survive communication breakages that separate the cluster into multiple partitions, which are unable to communicate with each other.

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MySQL Admin Cookbook

Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 5.58 MB

Downloadable formats: PDF

Data is stored in 'documents', which are essentially key-value maps themselves, using the data types you see in JSON. This file will update the database with the new information. I’m also in agreement, this script is very well written and just saved me a tonne of time writing my own! There are three primary categories, which is true for almost every database software: Within each of these, there are a number of variants—some of which are MySQL-specific—you can use.

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