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  • Sql Server huge tables with no rows

    - by Mike Gates
    I have a Sql Server database that has a few tables with zero row count but take up a combined 10 GB of space. I can see this by doing right-click/properties on the tables in question (data space is huge, between 1 and 6 GB, and row count is zero on these tables). I have no clue what could be causing this as I would assume zero rows would mean nearly zero space taken. Any ideas?

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  • ASP.NET MVC: Using jQuery context menu with tables

    - by DigiMortal
    I needed to add context menus to some tables of my intranet application. After trying some components I found one that does everything I need and has no overhead. In this posting I will show you how to use jQuery context menu plug-in and how to attach it to tables. I found context menu plug-in by Chris Domigan and it was very easy to integrate to my application (when comparing some other plug-ins that work only on demo pages and in simple scenarios). Thanks, Chris, for great work! Now let’s use this context menu plug-in with table. Before we go on let’s see what we are trying to achieve. The following screenshot fragment shows simple context menu that we want to attach to our table. And when we click some menu option then something should happen too. :) Installing context menu plug-in Download plug-in (if download link is broken then open demo page and I think you know how to get plug-in from there). Copy jquery.contextmenu.js to your scripts folder. Include it in your masterpage or in the page where you plan to use context menus. Make sure plug-in is included correctly (use Firebug or some other tool you like). Save the page. Defining context menu Now let’s define context menu. Here is fragment on context menu definition from my code. <div class="contextMenu" id="myMenu1">     <ul>     <li id="email"><img src="/img/e-mail.png" />E-mail</li>     <li id="homepage"><img src="/img/homepage.png" />Homepage</li>     </ul> </div> div with id myMenu1 is container of context menu. Unordered list inside container defines items in context menu – simple and elegant! Adding context menu to table I have table with persons. It is simple HTML. I omitted commands column from this and the next table to keep them simple and more easily readable. <table>   <tr>     <th>Name</th>     <th>Short</th>     <th>Address</th>     <th>Mobile</th>     <th>E-mail</th>   </tr>   <% foreach(var person in Model.Results) { %>   <tr>     <td><%=person.FullName %></td>     <td><%=person.ShortName %></td>     <td><%=person.FullAddress %></td>     <td><%=person.Mobile %></td>     <td><%=person.Email %></td>   </tr>   <% } %> </table> To get context menu linked to table rows first cells we need to specify class for cells and ID. We need ID because we have to know later which ID has the row on which user selected something from context menu. <table>   <tr>     <th>Name</th>     <th>Short</th>     <th>Address</th>     <th>Mobile</th>     <th>E-mail</th>   </tr>   <% foreach(var person in Model.Results) { %>   <tr>     <td class="showContext" id="<%= person.Id %>"><%=person.FullName %></td>     <td><%=person.ShortName %></td>     <td><%=person.FullAddress %></td>     <td><%=person.Mobile %></td>     <td><%=person.Email %></td>   </tr>   <% } %> </table> Now we have only one thing to do – we have to write some code that attaches context menu to table cells. Catching context menu events Now we will make everything work. Relax, it is only couple of lines of code, thank to jQuery. <script type="text/javascript">   $(document).ready(function () {     $('td.showContext').contextMenu('myMenu1', {         bindings: {         'email': function (t) {           document.location.href = '/contact/sendmail/' + t.id;         },         'homepage': function (t) {           document.location.href = '/contact/homepage/' + t.id;         }       }     });   }); </script> I think that first lines doesn’t need any comments. Take a look at bindings. We gave ID to table cells because it is carried also to bound events. We can use also more complex ID-s if we have more than one table with context menus on our form. Now we are done. Save all files, compile solution, run it and try out how context menu works. Conclusion We saw than using jQuery with context menu component allows us easily create powerful context menus for our user interfaces. Context menu was very easy to define. We were also able to attach context menu to table and use ID of current row entity also in events of context menu. To achieve this we needed only some minor modifications in view and couple of lines of JavaScript.

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  • Comparing Dates in Oracle Business Rule Decision Tables

    - by James Taylor
    I have been working with decision tables for some time but have never had a scenario where I need to compare dates. The use case was to check if a persons membership had expired. I didn't think much of it till I started to develop it. The first trap I feel into was trying to create ranges and bucket sets. The other trap I fell into was not converting the date field to a complete date. This may seem obvious to most people but my Google searches came up with nothing so I thought I would create a quick post. I assume everyone knows how to create a decision table so I'm not going to go through those steps. The prerequisite for this post is to have a decision table with a payload that has a date field. This filed must have the date in the following format YYYY-MM-DDThh:mm:ss. Create a new condition in your decision table Right-click on the condition to edit it and select the expression builder In the expression builder, select the Functions tab. Expand the CurrentDate file and select date, and click Insert Into Expression button. In the Expression Builder you need to create an expression that will return true or false, add the operation <= after the CurrentDate.date In my scenario my date field is memberExpire, Navigate to your date field and expand, select toGregorianCalendar(). Your expression will look something like this, click OK to get back to the decision table Now its just a matter of checking if the value is true or false. Simple when you know how :-)

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  • Configurable tables in sql database

    - by dot
    I have the following tables in my database: Config Table: ====================================== Start_Range | End Range | Config_id 10 | 15 | 1 ====================================== Available_UserIDs ========================== ID | UserID | Used_YN | 1 | 10 | t | 1 | 11 | f | 1 | 12 | f | 1 | 13 | f | 1 | 14 | f | 1 | 15 | f | ========================== Users ========================== UserId | FName | LName | 10 |John | Doe | ========================== This is used in a reservation system of sorts... which lets an administrator specify a range of numbers that will be assigned to users in the config table. Once the range has been defined, the system then populates the Available_userIDs table with all the numbers in between the range, and sets the Used_YN flag to false As users sign up, they grab the next user_id number that's not in use... and reserve it. Then the system adds a record to the Users table. Once the admin has specified a range, it is possible that they can change it. For example, they can start with 10-15... and then when the range is used up, they should be able to specify another range like 16 - 99. I've put a unique constraint on the Available_UserIDs table, as well as on the Users table - to ensure that UserIds can't be duplicated. My questions are as follows: What's the best way to prevent the admins from using a range that's already in use? I thought of the following options: -- check either the Users table to see if the start range or ending range numbers are being used. If they are, assume that all the numbers in between are in use too, and reject the range. -- let them specify whatever they want, try to populate the Available_UserIDs table. If there are duplicates, just ignore that specific error message from the database and continue on. How do I find gaps in the number ranges? For example, if they specify 10-15, and then 20-25, it'd be nice to be able to somehow suggest on my web page that 16-19 is currently available. I found this article: http://stackoverflow.com/questions/1312101/how-to-find-a-gap-in-running-counter-with-sql But it only seems to return the first available number... so in my example above, it would only return the number 16. I'm sure there's a simpler way to do things that I'm overlooking!

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  • Django auth without "auth_*" tables

    - by Travis Jensen
    We would like to use our own tables for user management instead of the Django "auth" tables. We already have database tables that include all of the relevant information our application needs but it isn't in the Django format. We would prefer not to have the information duplicated in two tables. We would like to utilize the auth package, though, as there is some very nice functionality that we don't want to replicate. I realize we could build our own auth backend, but that doesn't, as far as I can tell, remove the need for two sets of tables in this case. Am I correct in assuming that we cannot do this? I have found no docs that discuss how to modify the underlying model that the auth package is using. The backend simply pre-populates the user object that would eventually be saved in the auth tables. Thanks!

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  • Why do Lua arrays(tables) start at 1 instead of 0?

    - by AraK
    Hi, I don't understand the rational behind the decision of this part of Lua. Why does indexing start at 1? I have read(as many others did) this great paper. It seems to me a strange corner of a language that is very pleasant to learn and program. Don't get me wrong, Lua is just great but there has to be an explanation somewhere. Most of what I found(on the web) is just saying the index starts at 1. Full stop. It would be very interesting to read what its designers said about the subject. Note that I am "very" beginner in Lua, I hope I am not missing something obvious about tables.

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  • Export DB Tables via phpMyAdmin In Non-Alphabetical Order

    - by dosboy
    I have a MySQL database from a Joomla MultiSite installation where it has a set of tables with different prefixes for each Joomla site. When I export the db via phpMyAdmin it creates a SQL file where the tables are created and populated in alphabetical order. The problem is that the tables for the slave sites have dependencies on the tables for the master site, but alphabetically their prefixes are ahead of the master site. So the export works fine but when I try importing I get error after error and have to manually move sections around in the SQL file to make sure that the dependent tables are created/populated first. So, is it possible to export a db via phpMyAdmin with the tables in a specific order?

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  • Alter multiple tables' columns length

    - by gdoron
    So, we just found out that 254 tables in our Oracle DBMS have one column named "Foo" with the wrong length- Number(10) instead of Number(3). That foo column is a part from the PK of the tables. Those tables have other tables with forigen keys to it. What I did is: backed-up the table with a temp table. Disabled the forigen keys to the table. Disabled the PK with the foo column. Nulled the foo column for all the rows. Restored all the above But now we found out it's not just couple of tables but 254 tables. Is there an easy way, (or at least easier than this) to alter the columns length? P.S. I have DBA permissions.

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  • PHP SQL, SELECT corresponding data from 3 tables at once?

    - by user346325
    I have 3 tables, 'u' 'd' 's' 'u' has userid divid 'd' has divid divname 's' has sname primaryuserid secondaryuserid Now what I'd like to do is display a table with rows of the following format userid, divname, sname Plus figure out a way to decipher whether userid is a primary or secondary for this sname table. I'm able to show userid and divname using a left join, but I don't know how I would add a third table? To make it trickier, there can be more than 1 snames for each userid, up to ~20. Is there a way to display 0-20 snames depending on the userid, seperated with commas?

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  • Faster, Simpler access to Azure Tables with Enzo Azure API

    - by Herve Roggero
    After developing the latest version of Enzo Cloud Backup I took the time to create an API that would simplify access to Azure Tables (the Enzo Azure API). At first, my goal was to make the code simpler compared to the Microsoft Azure SDK. But as it turns out it is also a little faster; and when using the specialized methods (the fetch strategies) it is much faster out of the box than the Microsoft SDK, unless you start creating complex parallel and resilient routines yourself. Last but not least, I decided to add a few extension methods that I think you will find attractive, such as the ability to transform a list of entities into a DataTable. So let’s review each area in more details. Simpler Code My first objective was to make the API much easier to use than the Azure SDK. I wanted to reduce the amount of code necessary to fetch entities, remove the code needed to add automatic retries and handle transient conditions, and give additional control, such as a way to cancel operations, obtain basic statistics on the calls, and control the maximum number of REST calls the API generates in an attempt to avoid throttling conditions in the first place (something you cannot do with the Azure SDK at this time). Strongly Typed Before diving into the code, the following examples rely on a strongly typed class called MyData. The way MyData is defined for the Azure SDK is similar to the Enzo Azure API, with the exception that they inherit from different classes. With the Azure SDK, classes that represent entities must inherit from TableServiceEntity, while classes with the Enzo Azure API must inherit from BaseAzureTable or implement a specific interface. // With the SDK public class MyData1 : TableServiceEntity {     public string Message { get; set; }     public string Level { get; set; }     public string Severity { get; set; } } //  With the Enzo Azure API public class MyData2 : BaseAzureTable {     public string Message { get; set; }     public string Level { get; set; }     public string Severity { get; set; } } Simpler Code Now that the classes representing an Azure Table entity are defined, let’s review the methods that the Azure SDK would look like when fetching all the entities from an Azure Table (note the use of a few variables: the _tableName variable stores the name of the Azure Table, and the ConnectionString property returns the connection string for the Storage Account containing the table): // With the Azure SDK public List<MyData1> FetchAllEntities() {      CloudStorageAccount storageAccount = CloudStorageAccount.Parse(ConnectionString);      CloudTableClient tableClient = storageAccount.CreateCloudTableClient();      TableServiceContext serviceContext = tableClient.GetDataServiceContext();      CloudTableQuery<MyData1> partitionQuery =         (from e in serviceContext.CreateQuery<MyData1>(_tableName)         select new MyData1()         {            PartitionKey = e.PartitionKey,            RowKey = e.RowKey,            Timestamp = e.Timestamp,            Message = e.Message,            Level = e.Level,            Severity = e.Severity            }).AsTableServiceQuery<MyData1>();        return partitionQuery.ToList();  } This code gives you automatic retries because the AsTableServiceQuery does that for you. Also, note that this method is strongly-typed because it is using LINQ. Although this doesn’t look like too much code at first glance, you are actually mapping the strongly-typed object manually. So for larger entities, with dozens of properties, your code will grow. And from a maintenance standpoint, when a new property is added, you may need to change the mapping code. You will also note that the mapping being performed is optional; it is desired when you want to retrieve specific properties of the entities (not all) to reduce the network traffic. If you do not specify the properties you want, all the properties will be returned; in this example we are returning the Message, Level and Severity properties (in addition to the required PartitionKey, RowKey and Timestamp). The Enzo Azure API does the mapping automatically and also handles automatic reties when fetching entities. The equivalent code to fetch all the entities (with the same three properties) from the same Azure Table looks like this: // With the Enzo Azure API public List<MyData2> FetchAllEntities() {        AzureTable at = new AzureTable(_accountName, _accountKey, _ssl, _tableName);        List<MyData2> res = at.Fetch<MyData2>("", "Message,Level,Severity");        return res; } As you can see, the Enzo Azure API returns the entities already strongly typed, so there is no need to map the output. Also, the Enzo Azure API makes it easy to specify the list of properties to return, and to specify a filter as well (no filter was provided in this example; the filter is passed as the first parameter).  Fetch Strategies Both approaches discussed above fetch the data sequentially. In addition to the linear/sequential fetch methods, the Enzo Azure API provides specific fetch strategies. Fetch strategies are designed to prepare a set of REST calls, executed in parallel, in a way that performs faster that if you were to fetch the data sequentially. For example, if the PartitionKey is a GUID string, you could prepare multiple calls, providing appropriate filters ([‘a’, ‘b’[, [‘b’, ‘c’[, [‘c’, ‘d[, …), and send those calls in parallel. As you can imagine, the code necessary to create these requests would be fairly large. With the Enzo Azure API, two strategies are provided out of the box: the GUID and List strategies. If you are interested in how these strategies work, see the Enzo Azure API Online Help. Here is an example code that performs parallel requests using the GUID strategy (which executes more than 2 t o3 times faster than the sequential methods discussed previously): public List<MyData2> FetchAllEntitiesGUID() {     AzureTable at = new AzureTable(_accountName, _accountKey, _ssl, _tableName);     List<MyData2> res = at.FetchWithGuid<MyData2>("", "Message,Level,Severity");     return res; } Faster Results With Sequential Fetch Methods Developing a faster API wasn’t a primary objective; but it appears that the performance tests performed with the Enzo Azure API deliver the data a little faster out of the box (5%-10% on average, and sometimes to up 50% faster) with the sequential fetch methods. Although the amount of data is the same regardless of the approach (and the REST calls are almost exactly identical), the object mapping approach is different. So it is likely that the slight performance increase is due to a lighter API. Using LINQ offers many advantages and tremendous flexibility; nevertheless when fetching data it seems that the Enzo Azure API delivers faster.  For example, the same code previously discussed delivered the following results when fetching 3,000 entities (about 1KB each). The average elapsed time shows that the Azure SDK returned the 3000 entities in about 5.9 seconds on average, while the Enzo Azure API took 4.2 seconds on average (39% improvement). With Fetch Strategies When using the fetch strategies we are no longer comparing apples to apples; the Azure SDK is not designed to implement fetch strategies out of the box, so you would need to code the strategies yourself. Nevertheless I wanted to provide out of the box capabilities, and as a result you see a test that returned about 10,000 entities (1KB each entity), and an average execution time over 5 runs. The Azure SDK implemented a sequential fetch while the Enzo Azure API implemented the List fetch strategy. The fetch strategy was 2.3 times faster. Note that the following test hit a limit on my network bandwidth quickly (3.56Mbps), so the results of the fetch strategy is significantly below what it could be with a higher bandwidth. Additional Methods The API wouldn’t be complete without support for a few important methods other than the fetch methods discussed previously. The Enzo Azure API offers these additional capabilities: - Support for batch updates, deletes and inserts - Conversion of entities to DataRow, and List<> to a DataTable - Extension methods for Delete, Merge, Update, Insert - Support for asynchronous calls and cancellation - Support for fetch statistics (total bytes, total REST calls, retries…) For more information, visit http://www.bluesyntax.net or go directly to the Enzo Azure API page (http://www.bluesyntax.net/EnzoAzureAPI.aspx). About Herve Roggero Herve Roggero, Windows Azure MVP, is the founder of Blue Syntax Consulting, a company specialized in cloud computing products and services. Herve's experience includes software development, architecture, database administration and senior management with both global corporations and startup companies. Herve holds multiple certifications, including an MCDBA, MCSE, MCSD. He also holds a Master's degree in Business Administration from Indiana University. Herve is the co-author of "PRO SQL Azure" from Apress and runs the Azure Florida Association (on LinkedIn: http://www.linkedin.com/groups?gid=4177626). For more information on Blue Syntax Consulting, visit www.bluesyntax.net.

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  • Creation time of Innodb tables

    - by shantanuo
    CRETAE_TIME column of "TABLES" table from INFORMATION_SCHEMA shows the same CREATE_TIME for all my innodb tables. It means all these tables were created between 2010-03-26 06:52:00 and 2010-03-26 06:53:00 while actually they were created a few months ago. Does the CREATE_TABLE field change automatically for Innodb tables?

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  • Preference values - static without tables using a model with virtual attributes

    - by Mike
    Im trying to eliminate two tables from my database. The tables are message_sort_options and per_page_options. These tables basically just have 5 records which are options a user can set as their preference in a preferences table. The preferences table has columns like sort_preferences and per_page_preference which both point to a record in the other two tables containing the options. How can i set up the models with virtual attributes and fixed values for the options - eliminating table lookups every time the preferences are looked up?

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  • how to update tables' structures keeping current data

    - by Leon
    I have an c# application that uses tables from sqlserver 2008 database (runs on standalone pc with local sqlserver). Initially i install database on this pc with some initial data (there are some tables that application uses and the user doesn't touch). The question is - how can i upgrade this database after user created some new data without harming it (i continue developing and can add some new tables or stored procedures or add some columns to existing tables). Thanks in advance!

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  • A few tables are still out of sync after running mk-table-sync

    - by smusumeche
    I have 1 master and 2 slaves. I am using MySQL 5.1.42 on all servers. I am attempting to use mk-table-checksum to verify that their data is in sync, but I am getting unexpected results on one of the slaves. First, I generate the checksums on the master like this: mk-table-checksum h=localhost --databases MYDB --tables {$table_list} --replicate=MYDB.mk_checksum --chunk-size=10M My understanding is that this runs the checksum queries on the master which then propagate via normal replication to the slaves. So, no locking is needed because the slaves will be at the same logical point in time when they run the checksum queries on themselves. Is this correct? Next, to verify that the checksums match, I run this on the master: mk-table-checksum --databases MYDB --replicate=IRC.mk_checksum --replicate-check 1 h=localhost,u=maatkit,p=xxxx If there are any differences, I repair the slaves like this: mk-table-sync --execute --verbose --replicate IRC.mk_checksum h=localhost,u=maatkit,p=xxxx After doing all of this, I repaired both slaves with mk-table-sync. However, everytime I run this sequence (after everything has already been repaired), one slave is perfectly in sync but one slave always has a few tables out of sync. I am 99.999% sure that the data on the slaves matches, since I repaired everything and the tables were not even updated on the master between runs of the checksum script. What would cause a few tables to always show out of sync on only one of the slaves? I am stuck. Here is the output: Differences on h=x.x.x.x,p=...,u=maatkit DB TBL CHUNK CNT_DIFF CRC_DIFF BOUNDARIES IRC product 10 0 1 product_id = 147377 AND product_id < 162085 IRC post_order_survey 0 0 1 1=1 IRC mk_heartbeat 0 0 1 1=1 IRC mailing_list 0 0 1 1=1 IRC honey_pot_log 0 0 1 1=1 IRC product 12 0 1 product_id = 176793 AND product_id < 191501 IRC product 18 0 1 product_id = 265041 IRC orders 26 0 1 order_id = 694472 IRC orders_product 6 0 1 op_id = 935375

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  • best way to create tables with Doctrine?

    - by ajsie
    assume that i start coding an application from scratch, is the best way to create tables when using Doctrine, to manually create tables in mysql and then generate models from the tables, or is it the other way around, that is to create the models in php and then generate tables from models? and if i already have a database, will the models created be optimal? cause i have heard some say that its best to create the database from scratch when using ORM, so that the relations are optimized for OOD. share your thoughts!

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  • How To Delete Top 100 Rows From SQL Server Tables

    - by Gopinath
    If you want to delete top 100/n records from an SQL Server table, it is very easy with the following query: DELETE FROM MyTable WHERE PK_Column IN(     SELECT TOP 100 PK_Column     FROM MyTable     ORDER BY creation    ) Why Would You Require To Delete Top 100 Records? I often delete a top n records of a table when number of rows in the are too huge. Lets say if I’ve 1000000000 records in a table, deleting 10000 rows at a time in a loop is faster than trying to delete all the 1000000000  at a time. What ever may be reason, if you ever come across a requirement of deleting a bunch of rows at a time, this query will be helpful to you. Join us on Facebook to read all our stories right inside your Facebook news feed.

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  • SQL SERVER – Introduction to SQL Server 2014 In-Memory OLTP

    - by Pinal Dave
    In SQL Server 2014 Microsoft has introduced a new database engine component called In-Memory OLTP aka project “Hekaton” which is fully integrated into the SQL Server Database Engine. It is optimized for OLTP workloads accessing memory resident data. In-memory OLTP helps us create memory optimized tables which in turn offer significant performance improvement for our typical OLTP workload. The main objective of memory optimized table is to ensure that highly transactional tables could live in memory and remain in memory forever without even losing out a single record. The most significant part is that it still supports majority of our Transact-SQL statement. Transact-SQL stored procedures can be compiled to machine code for further performance improvements on memory-optimized tables. This engine is designed to ensure higher concurrency and minimal blocking. In-Memory OLTP alleviates the issue of locking, using a new type of multi-version optimistic concurrency control. It also substantially reduces waiting for log writes by generating far less log data and needing fewer log writes. Points to remember Memory-optimized tables refer to tables using the new data structures and key words added as part of In-Memory OLTP. Disk-based tables refer to your normal tables which we used to create in SQL Server since its inception. These tables use a fixed size 8 KB pages that need to be read from and written to disk as a unit. Natively compiled stored procedures refer to an object Type which is new and is supported by in-memory OLTP engine which convert it into machine code, which can further improve the data access performance for memory –optimized tables. Natively compiled stored procedures can only reference memory-optimized tables, they can’t be used to reference any disk –based table. Interpreted Transact-SQL stored procedures, which is what SQL Server has always used. Cross-container transactions refer to transactions that reference both memory-optimized tables and disk-based tables. Interop refers to interpreted Transact-SQL that references memory-optimized tables. Using In-Memory OLTP In-Memory OLTP engine has been available as part of SQL Server 2014 since June 2013 CTPs. Installation of In-Memory OLTP is part of the SQL Server setup application. The In-Memory OLTP components can only be installed with a 64-bit edition of SQL Server 2014 hence they are not available with 32-bit editions. Creating Databases Any database that will store memory-optimized tables must have a MEMORY_OPTIMIZED_DATA filegroup. This filegroup is specifically designed to store the checkpoint files needed by SQL Server to recover the memory-optimized tables, and although the syntax for creating the filegroup is almost the same as for creating a regular filestream filegroup, it must also specify the option CONTAINS MEMORY_OPTIMIZED_DATA. Here is an example of a CREATE DATABASE statement for a database that can support memory-optimized tables: CREATE DATABASE InMemoryDB ON PRIMARY(NAME = [InMemoryDB_data], FILENAME = 'D:\data\InMemoryDB_data.mdf', size=500MB), FILEGROUP [SampleDB_mod_fg] CONTAINS MEMORY_OPTIMIZED_DATA (NAME = [InMemoryDB_mod_dir], FILENAME = 'S:\data\InMemoryDB_mod_dir'), (NAME = [InMemoryDB_mod_dir], FILENAME = 'R:\data\InMemoryDB_mod_dir') LOG ON (name = [SampleDB_log], Filename='L:\log\InMemoryDB_log.ldf', size=500MB) COLLATE Latin1_General_100_BIN2; Above example code creates files on three different drives (D:  S: and R:) for the data files and in memory storage so if you would like to run this code kindly change the drive and folder locations as per your convenience. Also notice that binary collation was specified as Windows (non-SQL). BIN2 collation is the only collation support at this point for any indexes on memory optimized tables. It is also possible to add a MEMORY_OPTIMIZED_DATA file group to an existing database, use the below command to achieve the same. ALTER DATABASE AdventureWorks2012 ADD FILEGROUP hekaton_mod CONTAINS MEMORY_OPTIMIZED_DATA; GO ALTER DATABASE AdventureWorks2012 ADD FILE (NAME='hekaton_mod', FILENAME='S:\data\hekaton_mod') TO FILEGROUP hekaton_mod; GO Creating Tables There is no major syntactical difference between creating a disk based table or a memory –optimized table but yes there are a few restrictions and a few new essential extensions. Essentially any memory-optimized table should use the MEMORY_OPTIMIZED = ON clause as shown in the Create Table query example. DURABILITY clause (SCHEMA_AND_DATA or SCHEMA_ONLY) Memory-optimized table should always be defined with a DURABILITY value which can be either SCHEMA_AND_DATA or  SCHEMA_ONLY the former being the default. A memory-optimized table defined with DURABILITY=SCHEMA_ONLY will not persist the data to disk which means the data durability is compromised whereas DURABILITY= SCHEMA_AND_DATA ensures that data is also persisted along with the schema. Indexing Memory Optimized Table A memory-optimized table must always have an index for all tables created with DURABILITY= SCHEMA_AND_DATA and this can be achieved by declaring a PRIMARY KEY Constraint at the time of creating a table. The following example shows a PRIMARY KEY index created as a HASH index, for which a bucket count must also be specified. CREATE TABLE Mem_Table ( [Name] VARCHAR(32) NOT NULL PRIMARY KEY NONCLUSTERED HASH WITH (BUCKET_COUNT = 100000), [City] VARCHAR(32) NULL, [State_Province] VARCHAR(32) NULL, [LastModified] DATETIME NOT NULL, ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_AND_DATA); Now as you can see in the above query example we have used the clause MEMORY_OPTIMIZED = ON to make sure that it is considered as a memory optimized table and not just a normal table and also used the DURABILITY Clause= SCHEMA_AND_DATA which means it will persist data along with metadata and also you can notice this table has a PRIMARY KEY mentioned upfront which is also a mandatory clause for memory-optimized tables. We will talk more about HASH Indexes and BUCKET_COUNT in later articles on this topic which will be focusing more on Row and Index storage on Memory-Optimized tables. So stay tuned for that as well. Now as we covered the basics of Memory Optimized tables and understood the key things to remember while using memory optimized tables, let’s explore more using examples to understand the Performance gains using memory-optimized tables. I will be using the database which i created earlier in this article i.e. InMemoryDB in the below Demo Exercise. USE InMemoryDB GO -- Creating a disk based table CREATE TABLE dbo.Disktable ( Id INT IDENTITY, Name CHAR(40) ) GO CREATE NONCLUSTERED INDEX IX_ID ON dbo.Disktable (Id) GO -- Creating a memory optimized table with similar structure and DURABILITY = SCHEMA_AND_DATA CREATE TABLE dbo.Memorytable_durable ( Id INT NOT NULL PRIMARY KEY NONCLUSTERED Hash WITH (bucket_count =1000000), Name CHAR(40) ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_AND_DATA) GO -- Creating an another memory optimized table with similar structure but DURABILITY = SCHEMA_Only CREATE TABLE dbo.Memorytable_nondurable ( Id INT NOT NULL PRIMARY KEY NONCLUSTERED Hash WITH (bucket_count =1000000), Name CHAR(40) ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_only) GO -- Now insert 100000 records in dbo.Disktable and observe the Time Taken DECLARE @i_t bigint SET @i_t =1 WHILE @i_t<= 100000 BEGIN INSERT INTO dbo.Disktable(Name) VALUES('sachin' + CONVERT(VARCHAR,@i_t)) SET @i_t+=1 END -- Do the same inserts for Memory table dbo.Memorytable_durable and observe the Time Taken DECLARE @i_t bigint SET @i_t =1 WHILE @i_t<= 100000 BEGIN INSERT INTO dbo.Memorytable_durable VALUES(@i_t, 'sachin' + CONVERT(VARCHAR,@i_t)) SET @i_t+=1 END -- Now finally do the same inserts for Memory table dbo.Memorytable_nondurable and observe the Time Taken DECLARE @i_t bigint SET @i_t =1 WHILE @i_t<= 100000 BEGIN INSERT INTO dbo.Memorytable_nondurable VALUES(@i_t, 'sachin' + CONVERT(VARCHAR,@i_t)) SET @i_t+=1 END The above 3 Inserts took 1.20 minutes, 54 secs, and 2 secs respectively to insert 100000 records on my machine with 8 Gb RAM. This proves the point that memory-optimized tables can definitely help businesses achieve better performance for their highly transactional business table and memory- optimized tables with Durability SCHEMA_ONLY is even faster as it does not bother persisting its data to disk which makes it supremely fast. Koenig Solutions is one of the few organizations which offer IT training on SQL Server 2014 and all its updates. Now, I leave the decision on using memory_Optimized tables on you, I hope you like this article and it helped you understand  the fundamentals of IN-Memory OLTP . Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Koenig

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  • Export mysql database tables to php code to create same tables in other database?

    - by chefnelone
    How do I Export mysql database tables to php code so that it allows me to create and populate same tables in other database? I have a local database, I exported to sql syntax, then I get something like: CREATE TABLE `boletinSuscritos` ( `id` int(11) NOT NULL AUTO_INCREMENT, `name` varchar(120) NOT NULL, `email` varchar(120) NOT NULL, `date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=3 ; INSERT INTO `boletinSuscritos` VALUES(1, 'walter', '[email protected]', '2010-03-24 12:53:12'); INSERT INTO `boletinSuscritos` VALUES(2, 'Paco', '[email protected]', '2010-03-24 12:56:56'); but I need it to be: (Is there any way to export the tables in this way) $sql = "CREATE TABLE boletinSuscritos ( id int(11) NOT NULL AUTO_INCREMENT, name varchar(120) NOT NULL, email varchar(120) NOT NULL, date timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY ( id ) ) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=3 )"; mysql_query($sql,$conexion); mysql_query("INSERT INTO boletinSuscritos VALUES(1, 'walter', '[email protected]', '2010-03-24 12:53:12')"); mysql_query("INSERT INTO boletinSuscritos VALUES(2, 'Paco', '[email protected]', '2010-03-24 12:56:56')");

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  • Part 4, Getting the conversion tables ready for CS to DNN

    - by Chris Hammond
    This is the fourth post in a series of blog posts about converting from CommunityServer to DotNetNuke. A brief background: I had a number of websites running on CommunityServer 2.1, I decided it was finally time to ditch CommunityServer due to the change in their licensing model and pricing that made it not good for the small guy. This series of blog posts is about how to convert your CommunityServer based sites to DotNetNuke . Previous Posts: Part 1: An Introduction Part 2: DotNetNuke Installation...(read more)

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  • How to create a PeopleCode Application Package/Application Class using PeopleTools Tables

    - by Andreea Vaduva
    This article describes how - in PeopleCode (Release PeopleTools 8.50) - to enable a grid without enabling each static column, using a dynamic Application Class. The goal is to disable the following grid with three columns “Effort Date”, ”Effort Amount” and “Charge Back” , when the Check Box “Finished with task” is selected , without referencing each static column; this PeopleCode could be used dynamically with any grid. If the check box “Finished with task” is cleared, the content of the grid columns is editable (and the buttons “+” and “-“ are available): So, you create an Application Package “CLASS_EXTENSIONS” that contains an Application Class “EWK_ROWSET”. This Application Class is defined with Class extends “ Rowset” and you add two news properties “Enabled” and “Visible”: After creating this Application Class, you use it in two PeopleCode Events : Rowinit and FieldChange : This code is very ‘simple’, you write only one command : ” &ERS2.Enabled = False” → and the entire grid is “Enabled”… and you can use this code with any Grid! So, the complete PeopleCode to create the Application Package is (with explanation in [….]) : ******Package CLASS_EXTENSIONS : [Name of the Package: CLASS_EXTENSIONS] --Beginning of the declaration part------------------------------------------------------------------------------ class EWK_ROWSET extends Rowset; [Definition Class EWK_ROWSET as a subclass of Class Rowset] method EWK_ROWSET(&RS As Rowset); [Constructor is the Method with the same name of the Class] property boolean Visible get set; property boolean Enabled get set; [Definition of the property “Enabled” in read/write] private [Before the word “private”, all the declarations are publics] method SetDisplay(&DisplaySW As boolean, &PropName As string, &ChildSW As boolean); instance boolean &EnSW; instance boolean &VisSW; instance Rowset &NextChildRS; instance Row &NextRow; instance Record &NextRec; instance Field &NextFld; instance integer &RowCnt, &RecCnt, &FldCnt, &ChildRSCnt; instance integer &i, &j, &k; instance CLASS_EXTENSIONS:EWK_ROWSET &ERSChild; [For recursion] Constant &VisibleProperty = "VISIBLE"; Constant &EnabledProperty = "ENABLED"; end-class; --End of the declaration part------------------------------------------------------------------------------ method EWK_ROWSET [The Constructor] /+ &RS as Rowset +/ %Super = &RS; end-method; get Enabled /+ Returns Boolean +/; Return &EnSW; end-get; set Enabled /+ &NewValue as Boolean +/; &EnSW = &NewValue; %This.InsertEnabled=&EnSW; %This.DeleteEnabled=&EnSW; %This.SetDisplay(&EnSW, &EnabledProperty, False); [This method is called when you set this property] end-set; get Visible /+ Returns Boolean +/; Return &VisSW; end-get; set Visible /+ &NewValue as Boolean +/; &VisSW = &NewValue; %This.SetDisplay(&VisSW, &VisibleProperty, False); end-set; method SetDisplay [The most important PeopleCode Method] /+ &DisplaySW as Boolean, +/ /+ &PropName as String, +/ /+ &ChildSW as Boolean +/ [Not used in our example] &RowCnt = %This.ActiveRowCount; &NextRow = %This.GetRow(1); [To know the structure of a line ] &RecCnt = &NextRow.RecordCount; For &i = 1 To &RowCnt [Loop for each Line] &NextRow = %This.GetRow(&i); For &j = 1 To &RecCnt [Loop for each Record] &NextRec = &NextRow.GetRecord(&j); &FldCnt = &NextRec.FieldCount; For &k = 1 To &FldCnt [Loop for each Field/Record] &NextFld = &NextRec.GetField(&k); Evaluate Upper(&PropName) When = &VisibleProperty &NextFld.Visible = &DisplaySW; Break; When = &EnabledProperty; &NextFld.Enabled = &DisplaySW; [Enable each Field/Record] Break; When-Other Error "Invalid display property; Must be either VISIBLE or ENABLED" End-Evaluate; End-For; End-For; If &ChildSW = True Then [If recursion] &ChildRSCnt = &NextRow.ChildCount; For &j = 1 To &ChildRSCnt [Loop for each Rowset child] &NextChildRS = &NextRow.GetRowset(&j); &ERSChild = create CLASS_EXTENSIONS:EWK_ROWSET(&NextChildRS); &ERSChild.SetDisplay(&DisplaySW, &PropName, &ChildSW); [For each Rowset child, call Method SetDisplay with the same parameters used with the Rowset parent] End-For; End-If; End-For; end-method; ******End of the Package CLASS_EXTENSIONS:[Name of the Package: CLASS_EXTENSIONS] About the Author: Pascal Thaler joined Oracle University in 2005 where he is a Senior Instructor. His area of expertise is Oracle Peoplesoft Technology and he delivers the following courses: For Developers: PeopleTools Overview, PeopleTools I &II, Batch Application Engine, Language Oriented Object PeopleCode, Administration Security For Administrators : Server Administration & Installation, Database Upgrade & Data Management Tools For Interface Users: Integration Broker (Web Service)

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