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  • Full password not required to access password protected directory?

    - by user617123
    I password protected a directory in cPanel. When I went to access the page in my browser, I accidentally hit backspace on the password before I hit enter. Surprisingly, the page still loaded. I played around with it and realized that I could remove the last 4 or 5 characters and the password would still work. Any more than that and it would fail. I'm just curious why this behavior is happening and whether or not it's anything to worry about?

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  • can anyone give me full details on how jquery and cdn works? [on hold]

    - by ajuwon oladipo
    have been readying a book on jquery of recent....i seen so many tins on cdn but please can anyone assist me with this?....how those jquery works ...do different plugs in work differently with specific function...or just a cdn helps you do all kind of thingsi mean like this <'script/* just one cdn link for any function you want*/<'/script then all your codes here...pls is it so ...i need a good explanation

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  • Sending changes from multiple tables in disconnected dataset to SQLServer...

    - by Stecy
    We have a third party application that accept calls using an XML RPC mechanism for calling stored procs. We send a ZIP-compressed dataset containing multiple tables with a bunch of update/delete/insert using this mechanism. On the other end, a CLR sproc decompress the data and gets the dataset. Then, the following code gets executed: using (var conn = new SqlConnection("context connection=true")) { if (conn.State == ConnectionState.Closed) conn.Open(); try { foreach (DataTable table in ds.Tables) { string columnList = ""; for (int i = 0; i < table.Columns.Count; i++) { if (i == 0) columnList = table.Columns[0].ColumnName; else columnList += "," + table.Columns[i].ColumnName; } var da = new SqlDataAdapter("SELECT " + columnList + " FROM " + table.TableName, conn); var builder = new SqlCommandBuilder(da); builder.ConflictOption = ConflictOption.OverwriteChanges; da.RowUpdating += onUpdatingRow; da.Update(ds, table.TableName); } } catch (....) { ..... } } Here's the event handler for the RowUpdating event: public static void onUpdatingRow(object sender, SqlRowUpdatingEventArgs e) { if ((e.StatementType == StatementType.Update) && (e.Command == null)) { e.Command = CreateUpdateCommand(e.Row, sender as SqlDataAdapter); e.Status = UpdateStatus.Continue; } } and the CreateUpdateCommand method: private static SqlCommand CreateUpdateCommand(DataRow row, SqlDataAdapter da) { string whereClause = ""; string setClause = ""; SqlConnection conn = da.SelectCommand.Connection; for (int i = 0; i < row.Table.Columns.Count; i++) { char quoted; if ((row.Table.Columns[i].DataType == Type.GetType("System.String")) || (row.Table.Columns[i].DataType == Type.GetType("System.DateTime"))) quoted = '\''; else quoted = ' '; string val = row[i].ToString(); if (row.Table.Columns[i].DataType == Type.GetType("System.Boolean")) val = (bool)row[i] ? "1" : "0"; bool isPrimaryKey = false; for (int j = 0; j < row.Table.PrimaryKey.Length; j++) { if (row.Table.PrimaryKey[j].ColumnName == row.Table.Columns[i].ColumnName) { if (whereClause != "") whereClause += " AND "; if (row[i] == DBNull.Value) whereClause += row.Table.Columns[i].ColumnName + "=NULL"; else whereClause += row.Table.Columns[i].ColumnName + "=" + quoted + val + quoted; isPrimaryKey = true; break; } } /* Only values for column that is not a primary key can be modified */ if (!isPrimaryKey) { if (setClause != "") setClause += ", "; if (row[i] == DBNull.Value) setClause += row.Table.Columns[i].ColumnName + "=NULL"; else setClause += row.Table.Columns[i].ColumnName + "=" + quoted + val + quoted; } } return new SqlCommand("UPDATE " + row.Table.TableName + " SET " + setClause + " WHERE " + whereClause, conn); } However, this is really slow when we have a lot of records. Is there a way to optimize this or an entirely different way to send lots of udpate/delete on several tables? I would really much like to use TSQL for this but can't figure a way to send a dataset to a regular sproc. Additional notes: We cannot directly access the SQLServer database. We tried without compression and it was slower.

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  • syntax error in sql query?

    - by user1550588
    I want to create some tables in database so for that i wright some queries to create table. but i got an error "there was a syntax error in your sql statement". I check all my queries but i am not able to find what syntax i wright wrong. here i attached my sql queries please told me what is wrong with queries. Thanks in advance. CREATE TABLE "WATER&SEWAGE" { "CUSTOMER_ID" VARCHAR, "POTABLE_WATER" VARCHAR, "HOT_WATER" VARCHAR, "SAFETY" VARCHAR, "T/P_VALVE+EXT" VARCHAR, "HEATER_TYPE" VARCHAR, "GAS_VENT_CONDITION" VARCHAR, "FIRE_BOX_CONDITION" VARCHAR, "PRESSURE" VARCHAR, "BACK_FLOW" VARCHAR, "PLUMBING_CONDITION" VARCHAR, "CABINET_CONDITION" VARCHAR, "3_COMP_SINK" VARCHAR, "WATER_HEATER" VARCHAR, "CLEAN_OUT_CONDITION" VARCHAR, "FLOOR_DRAIN" VARCHAR, "FLOOR_SINK" VARCHAR, "MAINTANANCE" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "TIME_AND_TETMPERATURE_REL" ("CUSTOMER_ID" INTEGER, "THERMOMTE_AVAILABLE" VARCHAR, "THERMO_TYPE" VARCHAR, "COLD_TEMP" VARCHAR, "FOOD_TYPE1" VARCHAR, "PROPER_COOLING" VARCHAR, "FOOD_TYPE2" VARCHAR, "COMPLIANCE" VARCHAR, "FOOD_TYPE3" VARCHAR, "TPHC" VARCHAR, "HACCP" VARCHAR, "HOT_HOLDING_TEMP" VARCHAR, "FOOD_TYPE4" VARCHAR, "HOT_TEMP" VARCHAR, "FOOD_TYPE5" VARCHAR, "IMPROPER_REHEATING" VARCHAR, "FOOD_TYPE6" VARCHAR, "FOOD_OUT_OF_TEMP" VARCHAR, "WRITTEN_PLAN_FILES" VARCHAR, "EMPLOYEE_KNOWLEDGE" VARCHAR, "TIME_KEEPING_METHODS" VARCHAR, "HACCP_METHODS" VARCHAR, "CALIBRATION" VARCHAR, "COOKING_TEMP" VARCHAR, "EQUIP_CONDITION" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "PROTECTION_FROM_CONTAMINATION" ("FOOD_ADULTERATION" VARCHAR, "FOOD_SPOILAGE" VARCHAR, "CONTAMINATION" VARCHAR, "FOOD_STORAGE" VARCHAR, "REFRIGRATORS" VARCHAR, "FREEZER" VARCHAR, "FIFO" VARCHAR, "DRY" VARCHAR, "DISHWASHING_CHEMICALS" VARCHAR, "CLEANING" VARCHAR, "SANITIZER" VARCHAR, "SUPPLY_EQUIPMENT" VARCHAR, "PESTICIDES" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR, "CUSTOMER_ID" INTEGER) CREATE TABLE "PHYSICAL_FACILITIES_2" ("CUSTOMER_ID" VARCHAR, "CEILING" VARCHAR, "WINDOWS" VARCHAR, "SPOILS_STORAGE" VARCHAR, "DOORS" VARCHAR, "PERSONAL_LOCKERS" VARCHAR, "FLOORS" VARCHAR, "CONDITION" VARCHAR, "HANDICAP" VARCHAR, "SELF_CLOSING_ROOM" VARCHAR, "TOILETS" VARCHAR, "TOILET_PAPER" VARCHAR, "TOILET_CONDITION" VARCHAR, "VENTILATION_CONDITION" VARCHAR, "MENS" VARCHAR, "MEN'S_VENTILATION" VARCHAR, "MEN'S_FLOOR_DRAWN" VARCHAR, "MEN'S_TOILET_STALLS" VARCHAR, "MEN'S_HAND_SINK" VARCHAR, "MEN'S_TOWELS" VARCHAR, "WOMEN'S" VARCHAR, "WOMEN'S_VENTILATION" VARCHAR, "WOMEN'S_FLOOR_DRAWN" VARCHAR, "WOMEN'S_TOILET_STALLS" VARCHAR, "WOMEN'S_HAND_SINK" VARCHAR, "WOMEN'S_TOWELS" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "PHYSICAL_FACILITIES_1" ("CUSTOMER_ID" VARCHAR, "LIGHTNING" VARCHAR, "KITCHEN" VARCHAR, "STORAGE" VARCHAR, "REFRIGRATION" VARCHAR, "JANITORIAL" VARCHAR, "INTERIOR" VARCHAR, "FIXTURE" VARCHAR, "FOOTCANDLES_1" VARCHAR, "FOOTCANDLES_2" VARCHAR, "FOOTCANDLES_3" VARCHAR, "FOOTCANDLES_4" VARCHAR, "FOOTCANDLES_5" VARCHAR, "EXTERIOR" VARCHAR, "WINDOWS" VARCHAR, "GLASS" VARCHAR, "SCREEN" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "PEST_CONTROL" ("CUSTOMER_ID" VARCHAR, "WALL/CEILING_PIPES" VARCHAR, "SANITATION" VARCHAR, "DOORS" VARCHAR, "SELF_CLOSING" VARCHAR, "RODENT_PROOF" VARCHAR, "VERMIN_PROOFING" VARCHAR, "FOUNDATION" VARCHAR, "ATTIC_VENTS" VARCHAR, "WINDOWS" VARCHAR, "TYPE_SCREENS" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "GENERAL_FOOD_SAFETY_REQ" ("CUSTOMER_ID" VARCHAR, "APPROVED_METHODS" VARCHAR, "DEFROST" VARCHAR, "FROZEN_FOOD" VARCHAR, "FOOD_WASHING" VARCHAR, "PRODUCE_1" VARCHAR, "FRUITS" VARCHAR, "GRAINS" VARCHAR, "VEGETABLES" VARCHAR, "SEPERATE_FROM_CONT" VARCHAR, "RAW" VARCHAR, "PRODUCE_2" VARCHAR, "STORED_BULK" VARCHAR, "STORAGE" VARCHAR, "FIFO" VARCHAR, "REFRIGRATAION" VARCHAR, "STORAGE_TEMP" VARCHAR, "HUMIDITY" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "FOOD_SAFETY_CERTIFICATION" ("CUSTOMER_ID" INTEGER,"OWNER" VARCHAR,"MANAGER" VARCHAR,"EMPLOYEE" VARCHAR,"NAME1" VARCHAR,"NAT'L_REGISTRY1" VARCHAR,"PROMETRIC1" VARCHAR,"SERVESAFE1" VARCHAR,"EXPIRATION1" VARCHAR,"NAME2" VARCHAR,"NAT'L_REGISTRY2" VARCHAR,"PROMETRIC2" VARCHAR,"SERVESAFE2" VARCHAR,"EXPIRATION2" VARCHAR,"COMMENTS" VARCHAR,"FOOD_TEMP" VARCHAR,"DISHWASHER" VARCHAR,"DANGER_ZONE" VARCHAR,"COOLING_FOODS" VARCHAR,"THAWING" VARCHAR,"REHEATING" VARCHAR,"THERMOMETERS" VARCHAR,"FIFO" VARCHAR,"HANDWASH" VARCHAR,"COOKING_TEMP" VARCHAR,"FOOD_POISONING_TYPES" VARCHAR,"EVEDENCE_PHOTOS" VARCHAR) CREATE TABLE "FOOD_FROM_APPROVED_SOURCES" ("CUSTOMER_ID" VARCHAR, "RECEIPTS" VARCHAR, "DELIVERY_DOOR" VARCHAR, "AIR_CURTAIN" VARCHAR, "VELOCITY" VARCHAR, "OFF_LOAD" VARCHAR, "INSPECTS" VARCHAR, "RODENTS" VARCHAR, "WARNING" VARCHAR, "SHELL_FISH" VARCHAR, "GULF_OYSTER" VARCHAR, "FOOD_OUT_OF_TEMP" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTO" VARCHAR) CREATE TABLE "FOOD_FACILITY_SITE_FACTS" ("CUSTOMER_ID" INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL UNIQUE,"DBA" VARCHAR,"DISTRICT" VARCHAR,"CITY" VARCHAR,"ZIPCODE" VARCHAR,"ADDRESS" VARCHAR,"SEAT_NO" VARCHAR,"PHONE_NO" VARCHAR,"OWNER" VARCHAR,"PERSON_IN_CHARGE" VARCHAR,"WEBSITE" VARCHAR,"EMAIL" VARCHAR,"FACILITY_TYPE" VARCHAR,"SQ_FOOTAGE" VARCHAR,"NO_OF_SEATS" VARCHAR,"ALCOHOL_SALES" VARCHAR,"LTD_PREP" VARCHAR,"BUSINESS_LICENCE_NO" VARCHAR,"EXPIRATION" VARCHAR,"COMMENTS" VARCHAR,"EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "FOOD_DISPLAY_SELF_SERVICE" ("CUSTOMER_ID" VARCHAR, "SELF_SERVICE" VARCHAR, "LIDS" VARCHAR, "UTENSILS" VARCHAR, "HOW_OFTEN_CHANGED" VARCHAR, "SCOOP" VARCHAR, "SNEEZ_GUARD" VARCHAR, "DISHES" VARCHAR, "CROSS" VARCHAR, "SENITATION" VARCHAR, "MAINTANANCE" VARCHAR, "MECHANICAL_CONDITION" VARCHAR, "SERVICE_OF_UTENSIL" VARCHAR, "TIME" VARCHAR, "PRPER_FOOD_LABELING" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "EQUIPMENT/UTENSILS/LINES" ("CUSTOMER_ID" VARCHAR, "STORED_DISHES" VARCHAR, "CUPS" VARCHAR, "DAMAGED_DISHES" VARCHAR, "UTENSILS" VARCHAR, "LINES" VARCHAR, "COOLING_EQUIPMENT" VARCHAR, "COOK_WARE_STORAGE" VARCHAR, "CONDITION" VARCHAR, "STORAGE_LOCATION" VARCHAR, "NAPKINS" VARCHAR, "SANITATION" VARCHAR, "ADEQUATE_CAPACITY" VARCHAR, "HAZARDS" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "EMPLOYEE_HEALTH_AND_HYGENE" ("CSTOMER_ID" INTEGER, "COMUNICABLE_DIESEASE" VARCHAR, "WIPING_BAGS" VARCHAR, "DISCHARGE" VARCHAR, "LOCKERS" VARCHAR, "PROPER_HAND_WASH" VARCHAR, "RESTROOM_CONDITION" VARCHAR, "HANDWASH_STATION" VARCHAR, "HAIR_RESTRAINT" VARCHAR, "GLOVES_USED" VARCHAR, "WOUND_CARE" VARCHAR, "FOOD_SAMPLE_TESTING" VARCHAR, "GARMENT_CONDITION" VARCHAR, "HEALTH" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "DISH&WARE_WASHING" ("CUSTOMER_ID" INTEGER, "TYPE_OF_COMPARTMENT_SINK" VARCHAR, "PLUMBING_ISSUE1" VARCHAR, "QUATERNARY_AMMONIA" VARCHAR, "IODINE" VARCHAR, "HOT_WTR_SANIT_TEMP" VARCHAR, "PLUMBING_ISSUE2" VARCHAR, "HOT_WATER" VARCHAR, "TEMP" VARCHAR, "DISHWASHER_TYPE" VARCHAR, "WAQLL_CONDITION" VARCHAR, "SANITIZER_LEVELS" VARCHAR, "CHLORINE" VARCHAR, "SINK_OR_DISHWASHER" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR) CREATE TABLE "CORRECTIVE_ACTIONS" ("CUSTOMER_ID" VARCHAR, "CORRECTIVE_ACTIONS" VARCHAR) CREATE TABLE "CONSUMER_ADVISORY" ("CUSTOMER_ID" VARCHAR, "TRUTH_IN_MENU" VARCHAR, "MAJOR_CHAIN" VARCHAR, "TRANS_FAT" VARCHAR, "SCHOOL" VARCHAR, "PROHIBITED" VARCHAR, "CALORIES" VARCHAR, "COMMENTS" VARCHAR, "EVEDINCE_PHOTOS" VARCHAR) CREATE TABLE "COMPLAINS&ENFORCEMENTS" ("CUSTOMER_ID" VARCHAR, "PLAN_SUBMITTED" VARCHAR, "APPROVEL" VARCHAR, "CERTIFICATE_OF_OCCU" VARCHAR, "PRIOR_INSPEK_REPORT" VARCHAR, "LAST_INSPECTION_DATE" VARCHAR, "PERMIT_STATUS" VARCHAR, "POSTED" VARCHAR, "EXPIRATION" VARCHAR, "PERMIT_DISPLAYED" VARCHAR, "INSPECTION_REPORT_POSTING" VARCHAR, "COMMENTS" VARCHAR, "EVIDENCE_PHOTOS" VARCHAR)

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  • AsyncListViewAdapter + SimplePager, why is inactive pager clearing the table?

    - by Jaroslav Záruba
    I'm trying to make CellTable work together with AsyncListViewAdapter<T> and SimplePager<T>. The data gets displayed, but when the pager should be 'deaf' (meaning when all existing data are displayed) it still receives clicks and, more importantly, makes the displayed data go away. Instead of my data 'loading' indicator gets displayed, and it keep loading and loading... Obviously nothing gets loaded, as it doesn't even call the onRangeChanged handler. I went through the code-snippets in this thread, but I can't see anything suspicions on what I've been doing. Is there some obvious answer to a rookie mistake? I shrinked my variable names, hopefully it won't wrap too much. protected class MyAsyncAdapter extends AsyncListViewAdapter<DTO> { @Override protected void onRangeChanged(ListView<DTO> v) { /* * doesn't even get called on [go2start/go2end] click :( */ Range r = v.getRange(); fetchData(r.getStart(), r.getLength()); } } private void addTable() { // table: CellTable<DTO> table = new CellTable<DTO>(10); table.addColumn(new Column<DTO, String>(new TextCell()) { @Override public String getValue(DTO myDto) { return myDto.getName(); } }, "Name"); // pager: SimplePager<DTO> pager = new SimplePager<DTO>(table); table.setPager(pager); adapter = new MyAsyncAdapter(); adapter.addView(table); // does not make any difference: // adapter.updateDataSize(0, false); // adapter.updateDataSize(10, true); VerticalPanel vPanel = new VerticalPanel(); vPanel.add(table); vPanel.add(pager); RootLayoutPanel.get().add(vPanel); } // success-handler of my fetching AsyncCallback @Override public void onSuccess(List<DTO> data) { // AsyncCallback<List<DTO>> has start field adapter.updateViewData(start, data.size(), data); if(data.size() < length) adapter.updateDataSize(start + data.size(), true); } Regards J. Záruba

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  • What is wrong with my SQL syntax here?

    - by CT
    I'm trying to create a IT asset database with a web front end. I've gathered some data from forms using POST as well as one variable that had already written to a cookie. This is the first time I have tried to enter the data into the database. Here is the code: <?php //get data $id = $_POST['id']; $company = $_POST['company']; $location = $_POST['location']; $purchase_date = $_POST['purchase_date']; $purchase_order = $_POST['purchase_order']; $value = $_POST['value']; $type = $_COOKIE["type"]; $notes = $_POST['notes']; $manufacturer = $_POST['manufacturer']; $model = $_POST['model']; $warranty = $_POST['warranty']; //set cookies setcookie('id', $id); setcookie('company', $company); setcookie('location', $location); setcookie('purchase_date', $purchase_date); setcookie('purchase_order', $purchase_order); setcookie('value', $value); setcookie('type', $type); setcookie('notes', $notes); setcookie('manufacturer', $manufacturer); setcookie('model', $model); setcookie('warranty', $warranty); //checkdata //start database interactions // connect to mysql server and database "asset_db" mysql_connect("localhost", "asset_db", "asset_db") or die(mysql_error()); mysql_select_db("asset_db") or die(mysql_error()); // Insert a row of information into the table "asset" mysql_query("INSERT INTO asset (id, company, location, purchase_date, purchase_order, value, type, notes) VALUES('$id', '$company', '$location', '$purchase_date', $purchase_order', '$value', '$type', '$notes') ") or die(mysql_error()); echo "Asset Added"; // Insert a row of information into the table "server" mysql_query("INSERT INTO server (id, manufacturer, model, warranty) VALUES('$id', '$manufacturer', '$model', '$warranty') ") or die(mysql_error()); echo "Server Added"; //destination url //header("Location: verify_submit_server.php"); ?> The error I get is: You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near '', '678 ', 'Server', '789')' at line 2 That data is just test data I was trying to throw in there, but it looks to be the at the $value, $type, $notes. Here are the table create statements if they help: <?php // connect to mysql server and database "asset_db" mysql_connect("localhost", "asset_db", "asset_db") or die(mysql_error()); mysql_select_db("asset_db") or die(mysql_error()); // create asset table mysql_query("CREATE TABLE asset( id VARCHAR(50) PRIMARY KEY, company VARCHAR(50), location VARCHAR(50), purchase_date VARCHAR(50), purchase_order VARCHAR(50), value VARCHAR(50), type VARCHAR(50), notes VARCHAR(200))") or die(mysql_error()); echo "Asset Table Created.</br />"; // create software table mysql_query("CREATE TABLE software( id VARCHAR(50) PRIMARY KEY, software VARCHAR(50), license VARCHAR(50))") or die(mysql_error()); echo "Software Table Created.</br />"; // create laptop table mysql_query("CREATE TABLE laptop( id VARCHAR(50) PRIMARY KEY, manufacturer VARCHAR(50), model VARCHAR(50), serial_number VARCHAR(50), esc VARCHAR(50), user VARCHAR(50), prev_user VARCHAR(50), warranty VARCHAR(50))") or die(mysql_error()); echo "Laptop Table Created.</br />"; // create desktop table mysql_query("CREATE TABLE desktop( id VARCHAR(50) PRIMARY KEY, manufacturer VARCHAR(50), model VARCHAR(50), serial_number VARCHAR(50), esc VARCHAR(50), user VARCHAR(50), prev_user VARCHAR(50), warranty VARCHAR(50))") or die(mysql_error()); echo "Desktop Table Created.</br />"; // create server table mysql_query("CREATE TABLE server( id VARCHAR(50) PRIMARY KEY, manufacturer VARCHAR(50), model VARCHAR(50), warranty VARCHAR(50))") or die(mysql_error()); echo "Server Table Created.</br />"; ?> Running a standard LAMP stack on Ubuntu 10.04. Thank you.

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  • How do I write object classes effectively when dealing with table joins?

    - by Chris
    I should start by saying I'm not now, nor do I have any delusions I'll ever be a professional programmer so most of my skills have been learned from experience very much as a hobby. I learned PHP as it seemed a good simple introduction in certain areas and it allowed me to design simple web applications. When I learned about objects, classes etc the tutor's basic examnples covered the idea that as a rule of thumb each database table should have its own class. While that worked well for the photo gallery project we wrote, as it had very simple mysql queries, it's not working so well now my projects are getting more complex. If I require data from two separate tables which require a table join I've instead been ignoring the class altogether and handling it on a case by case basis, OR, even worse been combining some of the data into the class and the rest as a separate entity and doing two queries, which to me seems inefficient. As an example, when viewing content on a forum I wrote, if you view a thread, I retrieve data from the threads table, the posts table and the user table. The queries from the user and posts table are retrieved via a join and not instantiated as an object, whereas the thread data is called using my Threads class. So how do I get from my current state of affairs to something a little less 'stupid', for want of a better word. Right now I have a DB class that deals with connection and escaping values etc, a parent db query class that deals with the common queries and methods, and all of the other classes (Thread, Upload, Session, Photo and ones thats aren't used Post, User etc ) are children of that. Do I make a big posts class that has the relevant extra attributes that I retrieve from the users (and potentially threads) table? Do I have separate classes that populate each of their relevant attributes with a single query? If so how do I do that? Because of the way my classes are written, based on what I was taught, my db update row method, or insert method both just take the attributes as an array and update all of that, if I have extra attributes from other db tables in each class then how do I rewrite those methods as obbiously updating automatically like that would result in errors? In short I think my understanding is limited right now and I'd like some pointers when it comes to the fundamentals of how to write more complex classes.

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  • So, I have this jquery bit that adds a row to a table the way I need it to, but it's UGLY

    - by dhoss
    I have a table that looks like this: <table name="exercises" id="workout-table"> <tr> <th>Name</th> <th>Reps/Intervals</th> <th>Sets</th> <th>Weight/Distance/Time</th> </tr> [%- i=0 %] [% WHILE i<=10 %] <tr class="workout-rows"> <td><input type="text" name="workout[exercise][[% i %]][name]" /></td> <td><input type="text" name="workout[exercise][[% i %]][repetitions]" size="3"/></td> <td><input type="text" name="workout[exercise][[% i %]][sets]" size="3"/></td> <td><input type="text" name="workout[exercise][[% i %]][weight]" size="4"/></td> </tr> [% i = i + 1 %] [% END %] </table> That template code is Template::Toolkit code that basically just generates an index so I can keep track of elements in what will become an HoAoH from Catalyst::Plugin::Params::Nested. This is the javascript that actually adds the row to the table on button click: $("#add-row").click(function(){ var size = $(".workout-rows").length; //size += 1; var row ='<tr class="workout-rows">' + '<td><input type="text" name="workout[exercise][' + size + '][name]" /></td>' + '<td><input type="text" name="workout[exercise][' + size + '][repetitions]" size="3"/></td>' + '<td><input type="text" name="workout[exercise][' + size + '][sets]" size="3"/></td>' + '<td><input type="text" name="workout[exercise][' + size + '][weight]" size="4"/></td>' + '</tr>'; $("#workout-table >tbody tr:last").after(row) }); I really really don't like the idea of copy-pasting the table row markup into the script itself, as it's repetitive and non-intuitive. I've tried .clone stuff, which works great for copying the row verbatim, but it doesn't keep track of the number of rows dynamically like I need it to. So basically I've pared it down to needing to find out how to mess with the name of each input so that it can reflect the loop index appropriately, so Catalyst::Plugin::Params::Nested will build the correct structure. Thoughts?

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  • referencing part of the composite primary key

    - by Zavael
    I have problems with setting the reference on database table. I have following structure: CREATE TABLE club( id INTEGER NOT NULL, name_short VARCHAR(30), name_full VARCHAR(70) NOT NULL ); CREATE UNIQUE INDEX club_uix ON club(id); ALTER TABLE club ADD CONSTRAINT club_pk PRIMARY KEY (id); CREATE TABLE team( id INTEGER NOT NULL, club_id INTEGER NOT NULL, team_name VARCHAR(30) ); CREATE UNIQUE INDEX team_uix ON team(id, club_id); ALTER TABLE team ADD CONSTRAINT team_pk PRIMARY KEY (id, club_id); ALTER TABLE team ADD FOREIGN KEY (club_id) REFERENCES club(id); CREATE TABLE person( id INTEGER NOT NULL, first_name VARCHAR(20), last_name VARCHAR(20) NOT NULL ); CREATE UNIQUE INDEX person_uix ON person(id); ALTER TABLE person ADD PRIMARY KEY (id); CREATE TABLE contract( person_id INTEGER NOT NULL, club_id INTEGER NOT NULL, wage INTEGER ); CREATE UNIQUE INDEX contract_uix on contract(person_id); ALTER TABLE contract ADD CONSTRAINT contract_pk PRIMARY KEY (person_id); ALTER TABLE contract ADD FOREIGN KEY (club_id) REFERENCES club(id); ALTER TABLE contract ADD FOREIGN KEY (person_id) REFERENCES person(id); CREATE TABLE player( person_id INTEGER NOT NULL, team_id INTEGER, height SMALLINT, weight SMALLINT ); CREATE UNIQUE INDEX player_uix on player(person_id); ALTER TABLE player ADD CONSTRAINT player_pk PRIMARY KEY (person_id); ALTER TABLE player ADD FOREIGN KEY (person_id) REFERENCES person(id); -- ALTER TABLE player ADD FOREIGN KEY (team_id) REFERENCES team(id); --this is not working It gives me this error: Error code -5529, SQL state 42529: a UNIQUE constraint does not exist on referenced columns: TEAM in statement [ALTER TABLE player ADD FOREIGN KEY (team_id) REFERENCES team(id)] As you can see, team table has composite primary key (club_id + id), the person references club through contract. Person has some common attributes for player and other staff types. One club can have multiple teams. Employed person has to have a contract with a club. Player (is the specification of person) - if emplyed - can be assigned to one of the club's teams. Is there better way to design my structure? I thought about excluding the club_id from team's primary key, but I would like to know if this is the only way. Thanks. UPDATE 1 I would like to have the id as team identification only within the club, so multiple teams can have equal id as long as they belong to different clubs. Is it possible? UPDATE 2 updated the naming convention as adviced by philip Some business rules to better understand the structure: One club can have 1..n teams (Main squad, Reserve squad, Youth squad or Team A, Team B... only team can play match, not club) One team belongs to one club only A player is type of person (other types (staff) are scouts, coaches etc so they do not need to belong to specific team, just to the club, if employed) Person can have 0..1 contract with 1 club (that means he is employed or unemployed) Player (if employed) belongs to one team of the club Now thinking about it - moving team_id from player to contract would solve my problem, and it could hold the condition "Player (if employed) belongs to one team of the club", but it would be redundant for other staff types. What do you think?

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  • different nmap results

    - by aasasas
    Hello I have a scan on my server form outside and from inside, why results are different? [root@xxx ~]# nmap -sV -p 0-65535 localhost Starting Nmap 5.51 ( http://nmap.org ) at 2011-02-16 07:59 MSK Nmap scan report for localhost (127.0.0.1) Host is up (0.000015s latency). rDNS record for 127.0.0.1: localhost.localdomain Not shown: 65534 closed ports PORT STATE SERVICE VERSION 22/tcp open ssh OpenSSH 4.3 (protocol 2.0) 80/tcp open http Apache httpd 2.2.3 ((CentOS)) Service detection performed. Please report any incorrect results at http://nmap.org/submit/ . Nmap done: 1 IP address (1 host up) scanned in 7.99 seconds AND sh-3.2# nmap -sV -p 0-65535 xxx.com Starting Nmap 5.51 ( http://nmap.org ) at 2011-02-16 00:01 EST Warning: Unable to open interface vmnet1 -- skipping it. Warning: Unable to open interface vmnet8 -- skipping it. Stats: 0:07:49 elapsed; 0 hosts completed (1 up), 1 undergoing SYN Stealth Scan SYN Stealth Scan Timing: About 36.92% done; ETC: 00:22 (0:13:21 remaining) Stats: 0:22:05 elapsed; 0 hosts completed (1 up), 1 undergoing Service Scan Service scan Timing: About 75.00% done; ETC: 00:23 (0:00:02 remaining) Nmap scan report for xxx.com (x.x.x.x) Host is up (0.22s latency). Not shown: 65528 closed ports PORT STATE SERVICE VERSION 21/tcp open tcpwrapped 22/tcp open ssh OpenSSH 4.3 (protocol 2.0) 25/tcp open tcpwrapped 80/tcp open http Apache httpd 2.2.3 ((CentOS)) 110/tcp open tcpwrapped 143/tcp open tcpwrapped 443/tcp open tcpwrapped 8080/tcp open http-proxy?

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  • How do you build an Oa_zones array in to utitlize OpenX full page invocation in Rails?

    - by johnml
    I'm serving ads using OpenX within Rails. To correctly use the OpenX full page invocation you need to set Oa_zones[] array, otherwise all available ads are requested (but will never be used). These are the necessary pieces: Build an array of zones. Ideally zones could be added in any partial, so working with this array needs to be accessible throughout the view. Output full page invocation link ie. delivery/spcjs.php?id=1&block=1 Output zones The problem is, the full page invocation script can't be loaded until the zone array is built (and instantiated in JavaScript). At the same time, the zone array can't be built until the entire view has been rendered.

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  • [WiX] Is there a way to create a patch that is identical to doing a full install of the newer versio

    - by Davy8
    I'm trying to create patches using the method from this tutorial. An issue I'm running into is that I can't install a new patch on top of a previous patch. I can full install Version A,then patch to Version B. After that I can't patch to Version C. I can full install Version B, then patch to Version C. Currently we just do full installs with major updates each time which is working fine, but because of the frequency of our (internal) updates the file size and update time is becoming a burden so we're looking to reduce the update time (both downloading and installing) especially when most of the files don't change.

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  • How to set incremental CSS classes in each Table Cell with jQuery?

    - by Mark Rapp
    I have a table populated via a DB and it renders like so (it could have any number of columns referring to "time", 5 columns, 8 columns, 2 columns, etc): <table id="eventInfo"> <tr> <td class="name">John</td> <td class="date">Dec 20</td> <td class="**time**">2pm</td> <td class="**time**">3pm</td> <td class="**time**">4pm</td> <td class="event">Birthday</td> </tr> <tr> <td class="name">Billy</td> <td class="date">Dec 19</td> <td class="**time**">6pm</td> <td class="**time**">7pm</td> <td class="**time**">8pm</td> <td class="event">Birthday</td> </tr> With jQuery, I'd like to go through each Table Row and incrementally set an additional class-name on only the Table Cells where "class='time'" so that the result would be: John Dec 20 2pm 3pm 4pm Birthday Billy Dec 19 6pm 7pm 8pm Birthday I've only been able to get it to count all of the Table Cells where "class='time'" and not each set within its own Table Row. This is what I've tried with jQuery: $(document).ready(function() { $("table#eventInfo tr").each(function() { var tcount = 0; $("td.time").attr("class", function() { return "timenum-" + tcount++; }) //writes out the results in each TD .each(function() { $("span", this).html("(class = '<b>" + this.className + "</b>')"); }); }); }); Unfortunately, this only results in: <table id="eventInfo"> <tr> <td class="name">John</td> <td class="date">Dec 20</td> <td class="**time** **timenum-1**">2pm</td> <td class="**time** **timenum-2**">3pm</td> <td class="**time** **timenum-3**">4pm</td> <td class="event">Birthday</td> </tr> <tr> <td class="name">Billy</td> <td class="date">Dec 19</td> <td class="**time** **timenum-4**">6pm</td> <td class="**time** **timenum-5**">7pm</td> <td class="**time** **timenum-6**">8pm</td> <td class="event">Birthday</td> </tr> Thanks for your help!

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  • BNF – how to read syntax?

    - by Piotr Rodak
    A few days ago I read post of Jen McCown (blog) about her idea of blogging about random articles from Books Online. I think this is a great idea, even if Jen says that it’s not exciting or sexy. I noticed that many of the questions that appear on forums and other media arise from pure fact that people asking questions didn’t bother to read and understand the manual – Books Online. Jen came up with a brilliant, concise acronym that describes very well the category of posts about Books Online – RTFM365. I take liberty of tagging this post with the same acronym. I often come across questions of type – ‘Hey, i am trying to create a table, but I am getting an error’. The error often says that the syntax is invalid. 1 CREATE TABLE dbo.Employees 2 (guid uniqueidentifier CONSTRAINT DEFAULT Guid_Default NEWSEQUENTIALID() ROWGUIDCOL, 3 Employee_Name varchar(60) 4 CONSTRAINT Guid_PK PRIMARY KEY (guid) ); 5 The answer is usually(1), ‘Ok, let me check it out.. Ah yes – you have to put name of the DEFAULT constraint before the type of constraint: 1 CREATE TABLE dbo.Employees 2 (guid uniqueidentifier CONSTRAINT Guid_Default DEFAULT NEWSEQUENTIALID() ROWGUIDCOL, 3 Employee_Name varchar(60) 4 CONSTRAINT Guid_PK PRIMARY KEY (guid) ); Why many people stumble on syntax errors? Is the syntax poorly documented? No, the issue is, that correct syntax of the CREATE TABLE statement is documented very well in Books Online and is.. intimidating. Many people can be taken aback by the rather complex block of code that describes all intricacies of the statement. However, I don’t know better way of defining syntax of the statement or command. The notation that is used to describe syntax in Books Online is a form of Backus-Naur notatiion, called BNF for short sometimes. This is a notation that was invented around 50 years ago, and some say that even earlier, around 400 BC – would you believe? Originally it was used to define syntax of, rather ancient now, ALGOL programming language (in 1950’s, not in ancient India). If you look closer at the definition of the BNF, it turns out that the principles of this syntax are pretty simple. Here are a few bullet points: italic_text is a placeholder for your identifier <italic_text_in_angle_brackets> is a definition which is described further. [everything in square brackets] is optional {everything in curly brackets} is obligatory everything | separated | by | operator is an alternative ::= “assigns” definition to an identifier Yes, it looks like these six simple points give you the key to understand even the most complicated syntax definitions in Books Online. Books Online contain an article about syntax conventions – have you ever read it? Let’s have a look at fragment of the CREATE TABLE statement: 1 CREATE TABLE 2 [ database_name . [ schema_name ] . | schema_name . ] table_name 3 ( { <column_definition> | <computed_column_definition> 4 | <column_set_definition> } 5 [ <table_constraint> ] [ ,...n ] ) 6 [ ON { partition_scheme_name ( partition_column_name ) | filegroup 7 | "default" } ] 8 [ { TEXTIMAGE_ON { filegroup | "default" } ] 9 [ FILESTREAM_ON { partition_scheme_name | filegroup 10 | "default" } ] 11 [ WITH ( <table_option> [ ,...n ] ) ] 12 [ ; ] Let’s look at line 2 of the above snippet: This line uses rules 3 and 5 from the list. So you know that you can create table which has specified one of the following. just name – table will be created in default user schema schema name and table name – table will be created in specified schema database name, schema name and table name – table will be created in specified database, in specified schema database name, .., table name – table will be created in specified database, in default schema of the user. Note that this single line of the notation describes each of the naming schemes in deterministic way. The ‘optionality’ of the schema_name element is nested within database_name.. section. You can use either database_name and optional schema name, or just schema name – this is specified by the pipe character ‘|’. The error that user gets with execution of the first script fragment in this post is as follows: Msg 156, Level 15, State 1, Line 2 Incorrect syntax near the keyword 'DEFAULT'. Ok, let’s have a look how to find out the correct syntax. Line number 3 of the BNF fragment above contains reference to <column_definition>. Since column_definition is in angle brackets, we know that this is a reference to notion described further in the code. And indeed, the very next fragment of BNF contains syntax of the column definition. 1 <column_definition> ::= 2 column_name <data_type> 3 [ FILESTREAM ] 4 [ COLLATE collation_name ] 5 [ NULL | NOT NULL ] 6 [ 7 [ CONSTRAINT constraint_name ] DEFAULT constant_expression ] 8 | [ IDENTITY [ ( seed ,increment ) ] [ NOT FOR REPLICATION ] 9 ] 10 [ ROWGUIDCOL ] [ <column_constraint> [ ...n ] ] 11 [ SPARSE ] Look at line 7 in the above fragment. It says, that the column can have a DEFAULT constraint which, if you want to name it, has to be prepended with [CONSTRAINT constraint_name] sequence. The name of the constraint is optional, but I strongly recommend you to make the effort of coming up with some meaningful name yourself. So the correct syntax of the CREATE TABLE statement from the beginning of the article is like this: 1 CREATE TABLE dbo.Employees 2 (guid uniqueidentifier CONSTRAINT Guid_Default DEFAULT NEWSEQUENTIALID() ROWGUIDCOL, 3 Employee_Name varchar(60) 4 CONSTRAINT Guid_PK PRIMARY KEY (guid) ); That is practically everything you should know about BNF. I encourage you to study the syntax definitions for various statements and commands in Books Online, you can find really interesting things hidden there. Technorati Tags: SQL Server,t-sql,BNF,syntax   (1) No, my answer usually is a question – ‘What error message? What does it say?’. You’d be surprised to know how many people think I can go through time and space and look at their screen at the moment they received the error.

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  • SQL SERVER – How to Recover SQL Database Data Deleted by Accident

    - by Pinal Dave
    In Repair a SQL Server database using a transaction log explorer, I showed how to use ApexSQL Log, a SQL Server transaction log viewer, to recover a SQL Server database after a disaster. In this blog, I’ll show you how to use another SQL Server disaster recovery tool from ApexSQL in a situation when data is accidentally deleted. You can download ApexSQL Recover here, install, and play along. With a good SQL Server disaster recovery strategy, data recovery is not a problem. You have a reliable full database backup with valid data, a full database backup and subsequent differential database backups, or a full database backup and a chain of transaction log backups. But not all situations are ideal. Here we’ll address some sub-optimal scenarios, where you can still successfully recover data. If you have only a full database backup This is the least optimal SQL Server disaster recovery strategy, as it doesn’t ensure minimal data loss. For example, data was deleted on Wednesday. Your last full database backup was created on Sunday, three days before the records were deleted. By using the full database backup created on Sunday, you will be able to recover SQL database records that existed in the table on Sunday. If there were any records inserted into the table on Monday or Tuesday, they will be lost forever. The same goes for records modified in this period. This method will not bring back modified records, only the old records that existed on Sunday. If you restore this full database backup, all your changes (intentional and accidental) will be lost and the database will be reverted to the state it had on Sunday. What you have to do is compare the records that were in the table on Sunday to the records on Wednesday, create a synchronization script, and execute it against the Wednesday database. If you have a full database backup followed by differential database backups Let’s say the situation is the same as in the example above, only you create a differential database backup every night. Use the full database backup created on Sunday, and the last differential database backup (created on Tuesday). In this scenario, you will lose only the data inserted and updated after the differential backup created on Tuesday. If you have a full database backup and a chain of transaction log backups This is the SQL Server disaster recovery strategy that provides minimal data loss. With a full chain of transaction logs, you can recover the SQL database to an exact point in time. To provide optimal results, you have to know exactly when the records were deleted, because restoring to a later point will not bring back the records. This method requires restoring the full database backup first. If you have any differential log backup created after the last full database backup, restore the most recent one. Then, restore transaction log backups, one by one, it the order they were created starting with the first created after the restored differential database backup. Now, the table will be in the state before the records were deleted. You have to identify the deleted records, script them and run the script against the original database. Although this method is reliable, it is time-consuming and requires a lot of space on disk. How to easily recover deleted records? The following solution enables you to recover SQL database records even if you have no full or differential database backups and no transaction log backups. To understand how ApexSQL Recover works, I’ll explain what happens when table data is deleted. Table data is stored in data pages. When you delete table records, they are not immediately deleted from the data pages, but marked to be overwritten by new records. Such records are not shown as existing anymore, but ApexSQL Recover can read them and create undo script for them. How long will deleted records stay in the MDF file? It depends on many factors, as time passes it’s less likely that the records will not be overwritten. The more transactions occur after the deletion, the more chances the records will be overwritten and permanently lost. Therefore, it’s recommended to create a copy of the database MDF and LDF files immediately (if you cannot take your database offline until the issue is solved) and run ApexSQL Recover on them. Note that a full database backup will not help here, as the records marked for overwriting are not included in the backup. First, I’ll delete some records from the Person.EmailAddress table in the AdventureWorks database.   I can delete these records in SQL Server Management Studio, or execute a script such as DELETE FROM Person.EmailAddress WHERE BusinessEntityID BETWEEN 70 AND 80 Then, I’ll start ApexSQL Recover and select From DELETE operation in the Recovery tab.   In the Select the database to recover step, first select the SQL Server instance. If it’s not shown in the drop-down list, click the Server icon right to the Server drop-down list and browse for the SQL Server instance, or type the instance name manually. Specify the authentication type and select the database in the Database drop-down list.   In the next step, you’re prompted to add additional data sources. As this can be a tricky step, especially for new users, ApexSQL Recover offers help via the Help me decide option.   The Help me decide option guides you through a series of questions about the database transaction log and advises what files to add. If you know that you have no transaction log backups or detached transaction logs, or the online transaction log file has been truncated after the data was deleted, select No additional transaction logs are available. If you know that you have transaction log backups that contain the delete transactions you want to recover, click Add transaction logs. The online transaction log is listed and selected automatically.   Click Add if to add transaction log backups. It would be best if you have a full transaction log chain, as explained above. The next step for this option is to specify the time range.   Selecting a small time range for the time of deletion will create the recovery script just for the accidentally deleted records. A wide time range might script the records deleted on purpose, and you don’t want that. If needed, you can check the script generated and manually remove such records. After that, for all data sources options, the next step is to select the tables. Be careful here, if you deleted some data from other tables on purpose, and don’t want to recover them, don’t select all tables, as ApexSQL Recover will create the INSERT script for them too.   The next step offers two options: to create a recovery script that will insert the deleted records back into the Person.EmailAddress table, or to create a new database, create the Person.EmailAddress table in it, and insert the deleted records. I’ll select the first one.   The recovery process is completed and 11 records are found and scripted, as expected.   To see the script, click View script. ApexSQL Recover has its own script editor, where you can review, modify, and execute the recovery script. The insert into statements look like: INSERT INTO Person.EmailAddress( BusinessEntityID, EmailAddressID, EmailAddress, rowguid, ModifiedDate) VALUES( 70, 70, N'[email protected]' COLLATE SQL_Latin1_General_CP1_CI_AS, 'd62c5b4e-c91f-403f-b630-7b7e0fda70ce', '20030109 00:00:00.000' ); To execute the script, click Execute in the menu.   If you want to check whether the records are really back, execute SELECT * FROM Person.EmailAddress WHERE BusinessEntityID BETWEEN 70 AND 80 As shown, ApexSQL Recover recovers SQL database data after accidental deletes even without the database backup that contains the deleted data and relevant transaction log backups. ApexSQL Recover reads the deleted data from the database data file, so this method can be used even for databases in the Simple recovery model. Besides recovering SQL database records from a DELETE statement, ApexSQL Recover can help when the records are lost due to a DROP TABLE, or TRUNCATE statement, as well as repair a corrupted MDF file that cannot be attached to as SQL Server instance. You can find more information about how to recover SQL database lost data and repair a SQL Server database on ApexSQL Solution center. There are solutions for various situations when data needs to be recovered. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Backup and Restore, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • SQL SERVER – Shrinking Database is Bad – Increases Fragmentation – Reduces Performance

    - by pinaldave
    Earlier, I had written two articles related to Shrinking Database. I wrote about why Shrinking Database is not good. SQL SERVER – SHRINKDATABASE For Every Database in the SQL Server SQL SERVER – What the Business Says Is Not What the Business Wants I received many comments on Why Database Shrinking is bad. Today we will go over a very interesting example that I have created for the same. Here are the quick steps of the example. Create a test database Create two tables and populate with data Check the size of both the tables Size of database is very low Check the Fragmentation of one table Fragmentation will be very low Truncate another table Check the size of the table Check the fragmentation of the one table Fragmentation will be very low SHRINK Database Check the size of the table Check the fragmentation of the one table Fragmentation will be very HIGH REBUILD index on one table Check the size of the table Size of database is very HIGH Check the fragmentation of the one table Fragmentation will be very low Here is the script for the same. USE MASTER GO CREATE DATABASE ShrinkIsBed GO USE ShrinkIsBed GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Create FirstTable CREATE TABLE FirstTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Create Clustered Index on ID CREATE CLUSTERED INDEX [IX_FirstTable_ID] ON FirstTable ( [ID] ASC ) ON [PRIMARY] GO -- Create SecondTable CREATE TABLE SecondTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Create Clustered Index on ID CREATE CLUSTERED INDEX [IX_SecondTable_ID] ON SecondTable ( [ID] ASC ) ON [PRIMARY] GO -- Insert One Hundred Thousand Records INSERT INTO FirstTable (ID,FirstName,LastName,City) SELECT TOP 100000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 1 THEN 'New York' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 5 THEN 'San Marino' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 3 THEN 'Los Angeles' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Insert One Hundred Thousand Records INSERT INTO SecondTable (ID,FirstName,LastName,City) SELECT TOP 100000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 1 THEN 'New York' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 5 THEN 'San Marino' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 3 THEN 'Los Angeles' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO Let us check the table size and fragmentation. Now let us TRUNCATE the table and check the size and Fragmentation. USE MASTER GO CREATE DATABASE ShrinkIsBed GO USE ShrinkIsBed GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Create FirstTable CREATE TABLE FirstTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Create Clustered Index on ID CREATE CLUSTERED INDEX [IX_FirstTable_ID] ON FirstTable ( [ID] ASC ) ON [PRIMARY] GO -- Create SecondTable CREATE TABLE SecondTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Create Clustered Index on ID CREATE CLUSTERED INDEX [IX_SecondTable_ID] ON SecondTable ( [ID] ASC ) ON [PRIMARY] GO -- Insert One Hundred Thousand Records INSERT INTO FirstTable (ID,FirstName,LastName,City) SELECT TOP 100000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 1 THEN 'New York' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 5 THEN 'San Marino' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 3 THEN 'Los Angeles' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Insert One Hundred Thousand Records INSERT INTO SecondTable (ID,FirstName,LastName,City) SELECT TOP 100000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 1 THEN 'New York' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 5 THEN 'San Marino' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 3 THEN 'Los Angeles' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO You can clearly see that after TRUNCATE, the size of the database is not reduced and it is still the same as before TRUNCATE operation. After the Shrinking database operation, we were able to reduce the size of the database. If you notice the fragmentation, it is considerably high. The major problem with the Shrink operation is that it increases fragmentation of the database to very high value. Higher fragmentation reduces the performance of the database as reading from that particular table becomes very expensive. One of the ways to reduce the fragmentation is to rebuild index on the database. Let us rebuild the index and observe fragmentation and database size. -- Rebuild Index on FirstTable ALTER INDEX IX_SecondTable_ID ON SecondTable REBUILD GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO You can notice that after rebuilding, Fragmentation reduces to a very low value (almost same to original value); however the database size increases way higher than the original. Before rebuilding, the size of the database was 5 MB, and after rebuilding, it is around 20 MB. Regular rebuilding the index is rebuild in the same user database where the index is placed. This usually increases the size of the database. Look at irony of the Shrinking database. One person shrinks the database to gain space (thinking it will help performance), which leads to increase in fragmentation (reducing performance). To reduce the fragmentation, one rebuilds index, which leads to size of the database to increase way more than the original size of the database (before shrinking). Well, by Shrinking, one did not gain what he was looking for usually. Rebuild indexing is not the best suggestion as that will create database grow again. I have always remembered the excellent post from Paul Randal regarding Shrinking the database is bad. I suggest every one to read that for accuracy and interesting conversation. Let us run following script where we Shrink the database and REORGANIZE. -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO -- Shrink the Database DBCC SHRINKDATABASE (ShrinkIsBed); GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO -- Rebuild Index on FirstTable ALTER INDEX IX_SecondTable_ID ON SecondTable REORGANIZE GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO You can see that REORGANIZE does not increase the size of the database or remove the fragmentation. Again, I no way suggest that REORGANIZE is the solution over here. This is purely observation using demo. Read the blog post of Paul Randal. Following script will clean up the database -- Clean up USE MASTER GO ALTER DATABASE ShrinkIsBed SET SINGLE_USER WITH ROLLBACK IMMEDIATE GO DROP DATABASE ShrinkIsBed GO There are few valid cases of the Shrinking database as well, but that is not covered in this blog post. We will cover that area some other time in future. Additionally, one can rebuild index in the tempdb as well, and we will also talk about the same in future. Brent has written a good summary blog post as well. Are you Shrinking your database? Well, when are you going to stop Shrinking it? Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Index, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • I thought the new AUTO_SAMPLE_SIZE in Oracle Database 11g looked at all the rows in a table so why do I see a very small sample size on some tables?

    - by Maria Colgan
    I recently got asked this question and thought it was worth a quick blog post to explain in a little more detail what is going on with the new AUTO_SAMPLE_SIZE in Oracle Database 11g and what you should expect to see in the dictionary views. Let’s take the SH.CUSTOMERS table as an example.  There are 55,500 rows in the SH.CUSTOMERS tables. If we gather statistics on the SH.CUSTOMERS using the new AUTO_SAMPLE_SIZE but without collecting histogram we can check what sample size was used by looking in the USER_TABLES and USER_TAB_COL_STATISTICS dictionary views. The sample sized shown in the USER_TABLES is 55,500 rows or the entire table as expected. In USER_TAB_COL_STATISTICS most columns show 55,500 rows as the sample size except for four columns (CUST_SRC_ID, CUST_EFF_TO, CUST_MARTIAL_STATUS, CUST_INCOME_LEVEL ). The CUST_SRC_ID and CUST_EFF_TO columns have no sample size listed because there are only NULL values in these columns and the statistics gathering procedure skips NULL values. The CUST_MARTIAL_STATUS (38,072) and the CUST_INCOME_LEVEL (55,459) columns show less than 55,500 rows as their sample size because of the presence of NULL values in these columns. In the SH.CUSTOMERS table 17,428 rows have a NULL as the value for CUST_MARTIAL_STATUS column (17428+38072 = 55500), while 41 rows have a NULL values for the CUST_INCOME_LEVEL column (41+55459 = 55500). So we can confirm that the new AUTO_SAMPLE_SIZE algorithm will use all non-NULL values when gathering basic table and column level statistics. Now we have clear understanding of what sample size to expect lets include histogram creation as part of the statistics gathering. Again we can look in the USER_TABLES and USER_TAB_COL_STATISTICS dictionary views to find the sample size used. The sample size seen in USER_TABLES is 55,500 rows but if we look at the column statistics we see that it is same as in previous case except  for columns  CUST_POSTAL_CODE and  CUST_CITY_ID. You will also notice that these columns now have histograms created on them. The sample size shown for these columns is not the sample size used to gather the basic column statistics. AUTO_SAMPLE_SIZE still uses all the rows in the table - the NULL rows to gather the basic column statistics (55,500 rows in this case). The size shown is the sample size used to create the histogram on the column. When we create a histogram we try to build it on a sample that has approximately 5,500 non-null values for the column.  Typically all of the histograms required for a table are built from the same sample. In our example the histograms created on CUST_POSTAL_CODE and the CUST_CITY_ID were built on a single sample of ~5,500 (5,450 rows) as these columns contained only non-null values. However, if one or more of the columns that requires a histogram has null values then the sample size maybe increased in order to achieve a sample of 5,500 non-null values for those columns. n addition, if the difference between the number of nulls in the columns varies greatly, we may create multiple samples, one for the columns that have a low number of null values and one for the columns with a high number of null values.  This scheme enables us to get close to 5,500 non-null values for each column. +Maria Colgan

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  • How do I keep a table up to date across 4 db's to be used in SQL Replication Filtering?

    - by Refracted Paladin
    I have a Win Form, Data Entry, application that uses 4 seperate Data Bases. This is an occasionally connected app that uses Merge Replication (SQL 2005) to stay in Sync. This is working just fine. The next hurdle I am trying to tackle is adding Filters to my Publications. Right now we are replicating 70mbs, compressed, to each of our 150 subscribers when, truthfully, they only need a tiny fraction of that. Using Filters I am able to accomplish this(see code below) but I had to make a mapping table in order to do so. This mapping table consists of 3 columns. A PrimaryID(Guid), WorkerName(varchar), and ClientID(int). The problem is I need this table present in all FOUR Databases in order to use it for the filter since, to my knowledge, views or cross-db query's are not allowed in a Filter Statement. What are my options? Seems like I would set it up to be maintained in 1 Database and then use Triggers to keep it updated in the other 3 Databases. In order to be a part of the Filter I have to include that table in the Replication Set so how do I flag it appropriately. Is there a better way, altogether? SELECT <published_columns> FROM [dbo].[tblPlan] WHERE [ClientID] IN (select ClientID from [dbo].[tblWorkerOwnership] where WorkerID = SUSER_SNAME()) Which allows you to chain together Filters, this next one is below the first one so it only pulls from the first's Filtered Set. SELECT <published_columns> FROM [dbo].[tblPlan] INNER JOIN [dbo].[tblHealthAssessmentReview] ON [tblPlan].[PlanID] = [tblHealthAssessmentReview].[PlanID] P.S. - I know how illogical the DB structure sounds. I didn't make it. I inherited it and was then told to make it a "disconnected app."

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  • How do I keep a table in sync across multiple SQL Databases?

    - by Refracted Paladin
    I have a Win Form, Data Entry, application that uses 4 seperate Data Bases. This is an occasionally connected app that uses Merge Replication (SQL 2005) to stay in Sync. This is working just fine. The next hurdle I am trying to tackle is adding Filters to my Publications. Right now we are replicating 70mbs, compressed, to each of our 150 subscribers when, truthfully, they only need a tiny fraction of that. Using Filters I am able to accomplish this(see code below) but I had to make a mapping table in order to do so. This mapping table consists of 3 columns. A PrimaryID(Guid), WorkerName(varchar), and ClientID(int). The problem is I need this table present in all FOUR Databases in order to use it for the filter since, to my knowledge, views or cross-db query's are not allowed in a Filter Statement. What are my options? Seems like I would set it up to be maintained in 1 Database and then use Triggers to keep it updated in the other 3 Databases. In order to be a part of the Filter I have to include that table in the Replication Set so how do I flag it appropriately. Is there a better way, altogether? SELECT <published_columns> FROM [dbo].[tblPlan] WHERE [ClientID] IN (select ClientID from [dbo].[tblWorkerOwnership] where WorkerID = SUSER_SNAME()) Which allows you to chain together Filters, this next one is below the first one so it only pulls from the first's Filtered Set. SELECT <published_columns> FROM [dbo].[tblPlan] INNER JOIN [dbo].[tblHealthAssessmentReview] ON [tblPlan].[PlanID] = [tblHealthAssessmentReview].[PlanID] P.S. - I know how illogical the DB structure sounds. I didn't make it. I inherited it and was then told to make it a "disconnected app." Go figure!

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  • Data from a table in 1 DB needed for filter in different DB...

    - by Refracted Paladin
    I have a Win Form, Data Entry, application that uses 4 seperate Data Bases. This is an occasionally connected app that uses Merge Replication (SQL 2005) to stay in Sync. This is working just fine. The next hurdle I am trying to tackle is adding Filters to my Publications. Right now we are replicating 70mbs, compressed, to each of our 150 subscribers when, truthfully, they only need a tiny fraction of that. Using Filters I am able to accomplish this(see code below) but I had to make a mapping table in order to do so. This mapping table consists of 3 columns. A PrimaryID(Guid), WorkerName(varchar), and ClientID(int). The problem is I need this table present in all FOUR Databases in order to use it for the filter since, to my knowledge, views or cross-db query's are not allowed in a Filter Statement. What are my options? Seems like I would set it up to be maintained in 1 Database and then use Triggers to keep it updated in the other 3 Databases. In order to be a part of the Filter I have to include that table in the Replication Set so how do I flag it appropriately. Is there a better way, altogether? SELECT <published_columns> FROM [dbo].[tblPlan] WHERE [ClientID] IN (select ClientID from [dbo].[tblWorkerOwnership] where WorkerID = SUSER_SNAME()) Which allows you to chain together Filters, this next one is below the first one so it only pulls from the first's Filtered Set. SELECT <published_columns> FROM [dbo].[tblPlan] INNER JOIN [dbo].[tblHealthAssessmentReview] ON [tblPlan].[PlanID] = [tblHealthAssessmentReview].[PlanID]

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  • Ubuntu "No space left on device" for /home, df shows 100% full, ds shows much, much less

    - by Jon Cram
    On an Ubuntu 12.04 server, normal users can no longer create or add to files in /home, encountering a "No space left on device" error. The /home directory has a capacity of 1.7 terabytes and as far as I can tell is nowhere near full in terms of actual data stored or inodes used. df -h shows: Filesystem Size Used Avail Use% Mounted on /dev/md2 1.0T 18G 955G 2% / udev 7.7G 4.0K 7.7G 1% /dev tmpfs 3.1G 320K 3.1G 1% /run none 5.0M 0 5.0M 0% /run/lock none 7.7G 0 7.7G 0% /run/shm cgroup 7.7G 0 7.7G 0% /sys/fs/cgroup /dev/md3 1.7T 1.7T 0 100% /home /dev/md1 496M 45M 426M 10% /boot /home indeed looks rather full. du -hs /home suggests otherwise: 1.4G /home There appears no inode issue - df -i: Filesystem Inodes IUsed IFree IUse% Mounted on /dev/md2 67108864 75334 67033530 1% / udev 2013497 527 2012970 1% /dev tmpfs 2015816 440 2015376 1% /run none 2015816 2 2015814 1% /run/lock none 2015816 1 2015815 1% /run/shm cgroup 2015816 9 2015807 1% /sys/fs/cgroup /dev/md3 113909760 105981 113803779 1% /home /dev/md1 131072 239 130833 1% /boot I recently deleted a many gigabytes of application cache and log data from /home, however this was in the tens of gigabytes at best and nowhere near the capcity of /home. Update 1: du -hs --apparent-size /home 1.2G /home du -hs /home 1.4G /home What might be going on here?

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  • How do I keep a table in Sync across 4 db's to be used in SQL Replication Filtering?

    - by Refracted Paladin
    I have a Win Form, Data Entry, application that uses 4 seperate Data Bases. This is an occasionally connected app that uses Merge Replication (SQL 2005) to stay in Sync. This is working just fine. The next hurdle I am trying to tackle is adding Filters to my Publications. Right now we are replicating 70mbs, compressed, to each of our 150 subscribers when, truthfully, they only need a tiny fraction of that. Using Filters I am able to accomplish this(see code below) but I had to make a mapping table in order to do so. This mapping table consists of 3 columns. A PrimaryID(Guid), WorkerName(varchar), and ClientID(int). The problem is I need this table present in all FOUR Databases in order to use it for the filter since, to my knowledge, views or cross-db query's are not allowed in a Filter Statement. What are my options? Seems like I would set it up to be maintained in 1 Database and then use Triggers to keep it updated in the other 3 Databases. In order to be a part of the Filter I have to include that table in the Replication Set so how do I flag it appropriately. Is there a better way, altogether? SELECT <published_columns> FROM [dbo].[tblPlan] WHERE [ClientID] IN (select ClientID from [dbo].[tblWorkerOwnership] where WorkerID = SUSER_SNAME()) Which allows you to chain together Filters, this next one is below the first one so it only pulls from the first's Filtered Set. SELECT <published_columns> FROM [dbo].[tblPlan] INNER JOIN [dbo].[tblHealthAssessmentReview] ON [tblPlan].[PlanID] = [tblHealthAssessmentReview].[PlanID] P.S. - I know how illogical the DB structure sounds. I didn't make it. I inherited it and was then told to make it a "disconnected app."

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  • Excel or Access: how to group several lines in a table and insert contents in columns? ("split column")

    - by Martin
    I have a table containing data of sold products (shown in the example on the left): Columns: Number of the order Product Name Attribute - specifies what is given in the following field "value", e. g. Customer Name or Product Variant Value - is the value of the Attribute Count - is the number of products of this variant sold in the order That means: Product B has 2 variants "c" and "d" Note that in Order 1 Product B was sold in Variant d only, because the letter "N" in field "D4" means "none". Note, that in OrdnerNo 3 Product B was sold only in Variant c, because for Variant d field "D9" is "N"!! This is confusing, but it is the structure of the original data (which I can not change). I need a way to convert the table on the left in a table like that on the right: one line for each product type Order Number Product Name Customer Name Count (number of products sold in this order) Variant - this is the problem, as it has to be filled with the So all rows with the same OrderNo and same product have to be grouped in to one, and I hope it is clear what I need. I tried to do it with Pivot Tables, but that fails, as the Count is always in each line, no matter if it has Value "N" or not and for the products without variants there is only one line for each order, however for products with variants there are several... So how could I create the right table with a VBA macro in MS Excel or maybe there is a trick in MS Access to do it directly or with an SQL query?

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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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