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  • SQL Developer Data Modeler v3.3 Early Adopter: Link Model Objects Across Designs

    - by thatjeffsmith
    The third post in our “What’s New in SQL Developer Data Modeler v3.3” series, SQL Developer Data Modeler now allows you to link objects across models. If you need to catch up on the earlier posts, here are the first two: New and Improved Search Collaborative Design via Excel Today’s post is a very simple and straightforward discussion on how to share objects across models and designs. In previous releases you could easily copy and paste objects between models and designs. Simply select your object, right-click and select ‘Copy’ Once copied, paste it into your other designs and then make changes as required. Once you paste the object, it is no longer associated with the source it was copied from. You are free to make any changes you want in the new location without affecting the source material. And it works the other way as well – make any changes to the source material and the new object is also unaffected. However. What if you want to LINK a model object instead of COPYING it? In version 3.3, you can now do this. Simply drag and drop the object instead of copy and pasting it. Select the object, in this case a relational model table, and drag it to your other model. It’s as simple as it sounds, here’s a little animated GIF to show you what I’m talking about. Drag and drop between models/designs to LINK an object Notes The ‘linked’ object cannot be modified from the destination space Updating the source object will propagate the changes forward to wherever it’s been linked You can drag a linked object to another design, so dragging from A - B and then from B - C will work Linked objects are annotated in the model with a ‘Chain’ bitmap, see below This object has been linked from another design/model and cannot be modified. A very simple feature, but I like the flexibility here. Copy and paste = new independent object. Drag and drop = linked object.

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  • Data structures in functional programming

    - by pwny
    I'm currently playing with LISP (particularly Scheme and Clojure) and I'm wondering how typical data structures are dealt with in functional programming languages. For example, let's say I would like to solve a problem using a graph pathfinding algorithm. How would one typically go about representing that graph in a functional programming language (primarily interested in pure functional style that can be applied to LISP)? Would I just forget about graphs altogether and solve the problem some other way?

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  • Fokedvenc BI és DW blogjaim 7: Oracle Data Warehousing

    - by Fekete Zoltán
    A következo tartalmas blogot ajánlom a nyájas olvasó figyelmébe: The Data Warehouse Insider: http://blogs.oracle.com/datawarehousing/ Az adattárház általános fogalmaitól és a bevezetések és tervezés "best practice" legjobb gyakorlati tapasztalatokig. Témák: csillagsémák, particionálás, OLAP, 3NF, párhuzamos feldolgozások, adatbetöltés, ETL-ELT, adatmodellek, rendezvények, Exadata, Database Machine, tömörítés, adatbányászat, ügyféltörténetek,...

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  • PASS Data Architecture VC presents Neil Hambly on Improve Data Quality & Integrity using Constraints

    On Tuesday June 19th 12PM noon Central, Neil Hambly will discuss "Leveraging the power of constraints to improve both data quality and performance of your databases." What are your servers really trying to tell you? Find out with new SQL Monitor 3.0, an easy-to-use tool built for no-nonsense database professionals.For effortless insights into SQL Server, download a free trial today.

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  • When does 'optimizing code' == 'structuring data'?

    - by NewAlexandria
    A recent article by ycombinator lists a comment with principles of a great programmer. #7. Good programmer: I optimize code. Better programmer: I structure data. Best programmer: What's the difference? Acknowledging subjective and contentious concepts - does anyone have a position on what this means? I do, but I'd like to edit this question later with my thoughts so-as not to predispose the answers.

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  • Single Key Multiple Values Data Structure for one to many mapping

    - by nijhawan.saurabh
    Dictionaries are good, they are great to store Key / Value pairs but what if you want to store multiple values for a single key? Dictionaries would not allow duplicate keys. I came across a nice way to represent such a Data Structure using one of the Extension Method (ToLookup) present in System.Linq Namespace which converts an IEnumerable<T> to an ILookup<TKey, TElement>.   Now, there are two parameters this method expects (The other overload expects 3 parameters): IEnumerable<TSource> - This list would contain the actual data. Func<TSource, TKey> keySelector - The Delegate which which computes the keys   The method returns the following: ILookup<TKey, TElement>   This DS would store Keys and multiple values along those keys.   Let's see a small example:        12  using System;    13     using System.Collections.Generic;    14     using System.Linq;    15     16     /// <summary>    17     /// </summary>    18     internal class Program    19     {    20         #region Methods    21     22         /// <summary>    23         /// </summary>    24         /// <param name="args">    25         /// The args.    26         /// </param>    27         private static void Main(string[] args)    28         {    29             // Create an array of strings.    30             var list = new List<string> { "IceCream1", "Chocolate Moose", "IceCream2" };    31     32             // Generate a lookup Data Structure    33             ILookup<int, string> lookupDs = list.ToLookup(item => item.Length);    34     35           // Enumerate groupings.    36             foreach (var group in lookupDs)    37             {    38                 foreach (string element in group)    39                 {    40                     Console.WriteLine(element);    41                 }    42             }    43         } Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • Data Education: Great Classes Coming to a City Near You

    - by Adam Machanic
    In case you haven't noticed, Data Education (the training company I started a couple of years ago) has expanded beyond the US northeast; we're currently offering courses with top trainers in both St. Louis and Chicago , as well as the Boston area. The courses are starting to fill up fast—not surprising when you consider we’re talking about experienced instructors like Kalen Delaney , Rob Farley , and Allan Hirt —but we have still have some room. We’re very excited about bringing the highest quality...(read more)

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  • Extracting the Layout of all the Data Forms from the Relational Database

    - by RahulS
    Today I came across a question from one of our clients that: "what members are used on each data form WITHOUT having to go through the report generated out of our Planning app". We worked with client on this and reached to a simple query. All the form related information is stored in the following tables: HSP_FORM HSP_FORMOBJ_DEF HSP_FORMOBJ_DEF_MBR HSP_FORM_ATTRIBUTES HSP_FORM_CALCS HSP_FORM_DV_CONDITION HSP_FORM_DV_PM_RULE HSP_FORM_DV_RULE HSP_FORM_DV_USER_IN_PM_RULE HSP_FORM_LAYOUT HSP_FORM_MENUS HSP_FORM_VARIABLES If we want to retrieve just the members included, we can concentrate on: HSP_OBJECT to get the Object_ID for form, Object_Type is 7 for forms. (Ex: Select * from HSP_OBJECT where OBJECT_TYPE = 7) HSP_FORMOBJ_DEF Find the OBJDEF_ID for a particular form HSP_FORMOBJ_DEF_MBR Use the above OBJDEF_ID to find the members: Here the Mbr_ID is the Id of the member and Query_Type is the Function like Idesc, Level0 etc and Sequce is you sequence, And the final table we can use is HSP_FORM_LAYOUT: Layout_Type: 0->Pov 1-> Page, 2->Row, 3->Col, DIM_ID is the dimension ID and Ordinal is position. Here is the Query: SELECT HSP_OBJECT.OBJECT_NAME AS 'Form',  HSP_OBJECT_2.OBJECT_NAME AS 'Dimension',  HSP_OBJECT_1.OBJECT_NAME AS 'Member',  HSP_FORMOBJ_DEF_MBR.QUERY_TYPE FROM  <DatabaseName>.dbo.HSP_FORM_LAYOUT HSP_FORM_LAYOUT,  <DatabaseName>.dbo.HSP_FORMOBJ_DEF HSP_FORMOBJ_DEF,  <DatabaseName>.dbo.HSP_FORMOBJ_DEF_MBR HSP_FORMOBJ_DEF_MBR,  <DatabaseName>.dbo.HSP_MEMBER HSP_MEMBER,  <DatabaseName>.dbo.HSP_OBJECT HSP_OBJECT,  <DatabaseName>.dbo.HSP_OBJECT HSP_OBJECT_1,  <DatabaseName>.dbo.HSP_OBJECT HSP_OBJECT_2 WHERE  HSP_OBJECT.OBJECT_ID = HSP_FORMOBJ_DEF.FORM_ID AND  HSP_FORMOBJ_DEF_MBR.OBJDEF_ID = HSP_FORMOBJ_DEF.OBJDEF_ID AND  HSP_MEMBER.MEMBER_ID = HSP_FORMOBJ_DEF_MBR.MBR_ID AND  HSP_OBJECT_1.OBJECT_ID = HSP_MEMBER.MEMBER_ID AND  HSP_OBJECT_2.OBJECT_ID = HSP_MEMBER.DIM_ID AND  HSP_FORM_LAYOUT.DIM_ID = HSP_MEMBER.DIM_ID AND  HSP_FORM_LAYOUT.FORM_ID = HSP_FORMOBJ_DEF.FORM_ID AND  ((HSP_OBJECT.OBJECT_TYPE=7)) ORDER BY HSP_OBJECT.OBJECT_NAME  Concentrate on Test1 data form and Actual Layout of it as follows: Corresponding Query_type for few of the functions: 9  for Idesc, 3  for Ancestors, -9 for ILvl0Des, 8  for Desc, 4  for IAncestors Its just a basic idea you can do lot on the basis of this. Cheers..!!! Rahul S. http://www.facebook.com/pages/HyperionPlanning/117320818374228

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  • Sorting data in the SSIS Pipeline (Video)

    In this post I want to show a couple of ways to order the data that comes into the pipeline.  a number of people have asked me about this primarily because there are a number of ways to do it but also because some components in the pipeline take sorted inputs.  One of the methods I show is visually easy to understand and the other is less visual but potentially more performant.

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  • Application Crash cleared the content of the Folder

    - by Ameya
    Recently while working on the LinuxDC++ over the network the application crashed while downloading files. Now my Downloads folder which had at least 60-80GB of data is completely cleaned but the system is not reporting the available the correct free space. Is there way to restore the contents of the folder only as the solution available are for the whole partition. I just want to recover the contents from one folder.

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  • What's beyond c,c++ and data structure?

    - by sagacious
    I have learnt c and c++ programming languages.i have learnt data structure too. Now i'm confused what to do next?my aim is to be a good programmer. i want to go deeper into the field of programming and making the practical applications of what i have learnt. So,the question takes the form-what to do next?Or is there any site where i can see advantage of every language with it's features? sorry,if there's any language error and thanks in advance.

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  • Five stars of open data - example and review

    - by Joe
    (there may be a more suited SE site for this question so feel free to shift) I have some data I'd like to make open to the public - It's synatesis of some related data retrived from freedom of infomation requests over the last year. The data itself is at http://www.cs.rhul.ac.uk/home/joseph/domesday/Domesday-Scotland.csv or for fans of Excel, at http://www.cs.rhul.ac.uk/home/joseph/domesday/Domesday-Scotland.xlsx . It's no more than a table with about five columns. I'd like to make this properly open data, so I was looking at the 5 star deployment scheme for Open Data. Much of which is fine but I'm confused towards the end and I could do with an explenation from people who know the answers. So to get achieve the star levels I need: "make your stuff available on the Web (whatever format) under an open license" trival - all I have to do is put the notes up on the page that will give the provance of the data. "make it available as structured data (e.g., Excel instead of image scan of a table)"… done… "use non-proprietary formats (e.g., CSV instead of Excel)" - done… "use URIs to identify things, so that people can point at your stuff" - this is where I start to get a bit hazy - does this mean there should be an URI for every line in the table? "link your data to other data to provide context" - this isn't massively clear to me - does this mean to give the provence of the data? One column of the data I've put out is a link to where the data came from - is that the sort of thing we're looking at? Any and all information and answers welcome… EDIT - or if anyone wants to recommend a place SE or other place to ask the question - that would be cool...

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  • Using a "white list" for extracting terms for Text Mining, Part 2

    - by [email protected]
    In my last post, we set the groundwork for extracting specific tokens from a white list using a CTXRULE index. In this post, we will populate a table with the extracted tokens and produce a case table suitable for clustering with Oracle Data Mining. Our corpus of documents will be stored in a database table that is defined as create table documents(id NUMBER, text VARCHAR2(4000)); However, any suitable Oracle Text-accepted data type can be used for the text. We then create a table to contain the extracted tokens. The id column contains the unique identifier (or case id) of the document. The token column contains the extracted token. Note that a given document many have many tokens, so there will be one row per token for a given document. create table extracted_tokens (id NUMBER, token VARCHAR2(4000)); The next step is to iterate over the documents and extract the matching tokens using the index and insert them into our token table. We use the MATCHES function for matching the query_string from my_thesaurus_rules with the text. DECLARE     cursor c2 is       select id, text       from documents; BEGIN     for r_c2 in c2 loop        insert into extracted_tokens          select r_c2.id id, main_term token          from my_thesaurus_rules          where matches(query_string,                        r_c2.text)>0;     end loop; END; Now that we have the tokens, we can compute the term frequency - inverse document frequency (TF-IDF) for each token of each document. create table extracted_tokens_tfidf as   with num_docs as (select count(distinct id) doc_cnt                     from extracted_tokens),        tf       as (select a.id, a.token,                            a.token_cnt/b.num_tokens token_freq                     from                        (select id, token, count(*) token_cnt                        from extracted_tokens                        group by id, token) a,                       (select id, count(*) num_tokens                        from extracted_tokens                        group by id) b                     where a.id=b.id),        doc_freq as (select token, count(*) overall_token_cnt                     from extracted_tokens                     group by token)   select tf.id, tf.token,          token_freq * ln(doc_cnt/df.overall_token_cnt) tf_idf   from num_docs,        tf,        doc_freq df   where df.token=tf.token; From the WITH clause, the num_docs query simply counts the number of documents in the corpus. The tf query computes the term (token) frequency by computing the number of times each token appears in a document and divides that by the number of tokens found in the document. The doc_req query counts the number of times the token appears overall in the corpus. In the SELECT clause, we compute the tf_idf. Next, we create the nested table required to produce one record per case, where a case corresponds to an individual document. Here, we COLLECT all the tokens for a given document into the nested column extracted_tokens_tfidf_1. CREATE TABLE extracted_tokens_tfidf_nt              NESTED TABLE extracted_tokens_tfidf_1                  STORE AS extracted_tokens_tfidf_tab AS              select id,                     cast(collect(DM_NESTED_NUMERICAL(token,tf_idf)) as DM_NESTED_NUMERICALS) extracted_tokens_tfidf_1              from extracted_tokens_tfidf              group by id;   To build the clustering model, we create a settings table and then insert the various settings. Most notable are the number of clusters (20), using cosine distance which is better for text, turning off auto data preparation since the values are ready for mining, the number of iterations (20) to get a better model, and the split criterion of size for clusters that are roughly balanced in number of cases assigned. CREATE TABLE km_settings (setting_name  VARCHAR2(30), setting_value VARCHAR2(30)); BEGIN  INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.clus_num_clusters, 20);  INSERT INTO km_settings (setting_name, setting_value)     VALUES (dbms_data_mining.kmns_distance, dbms_data_mining.kmns_cosine);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.prep_auto,dbms_data_mining.prep_auto_off);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_iterations,20);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_split_criterion,dbms_data_mining.kmns_size);   COMMIT; END; With this in place, we can now build the clustering model. BEGIN     DBMS_DATA_MINING.CREATE_MODEL(     model_name          => 'TEXT_CLUSTERING_MODEL',     mining_function     => dbms_data_mining.clustering,     data_table_name     => 'extracted_tokens_tfidf_nt',     case_id_column_name => 'id',     settings_table_name => 'km_settings'); END;To generate cluster names from this model, check out my earlier post on that topic.

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  • Building vs. Buying a Master Data Management Solution

    - by david.butler(at)oracle.com
    Many organizations prefer to build their own MDM solutions. The argument is that they know their data quality issues and their data better than anyone. Plus a focused solution will cost less in the long run then a vendor supplied general purpose product. This is not unreasonable if you think of MDM as a point solution for a particular data quality problem. But this approach carries significant risk. We now know that organizations achieve significant competitive advantages when they deploy MDM as a strategic enterprise wide solution: with the most common best practice being to deploy a tactical MDM solution and grow it into a full information architecture. A build your own approach most certainly will not scale to a larger architecture unless it is done correctly with the larger solution in mind. It is possible to build a home grown point MDM solution in such a way that it will dovetail into broader MDM architectures. A very good place to start is to use the same basic technologies that Oracle uses to build its own MDM solutions. Start with the Oracle 11g database to create a flexible, extensible and open data model to hold the master data and all needed attributes. The Oracle database is the most flexible, highly available and scalable database system on the market. With its Real Application Clusters (RAC) it can even support the mixed OLTP and BI workloads that represent typical MDM data access profiles. Use Oracle Data Integration (ODI) for batch data movement between applications, MDM data stores, and the BI layer. Use Oracle Golden Gate for more real-time data movement. Use Oracle's SOA Suite for application integration with its: BPEL Process Manager to orchestrate MDM connections to business processes; Identity Management for managing users; WS Manager for managing web services; Business Intelligence Enterprise Edition for analytics; and JDeveloper for creating or extending the MDM management application. Oracle utilizes these technologies to build its MDM Hubs.  Customers who build their own MDM solution using these components will easily migrate to Oracle provided MDM solutions when the home grown solution runs out of gas. But, even with a full stack of open flexible MDM technologies, creating a robust MDM application can be a daunting task. For example, a basic MDM solution will need: a set of data access methods that support master data as a service as well as direct real time access as well as batch loads and extracts; a data migration service for initial loads and periodic updates; a metadata management capability for items such as business entity matrixed relationships and hierarchies; a source system management capability to fully cross-reference business objects and to satisfy seemingly conflicting data ownership requirements; a data quality function that can find and eliminate duplicate data while insuring correct data attribute survivorship; a set of data quality functions that can manage structured and unstructured data; a data quality interface to assist with preventing new errors from entering the system even when data entry is outside the MDM application itself; a continuing data cleansing function to keep the data up to date; an internal triggering mechanism to create and deploy change information to all connected systems; a comprehensive role based data security system to control and monitor data access, update rights, and maintain change history; a flexible business rules engine for managing master data processes such as privacy and data movement; a user interface to support casual users and data stewards; a business intelligence structure to support profiling, compliance, and business performance indicators; and an analytical foundation for directly analyzing master data. Oracle's pre-built MDM Hub solutions are full-featured 3-tier Internet applications designed to participate in the full Oracle technology stack or to run independently in other open IT SOA environments. Building MDM solutions from scratch can take years. Oracle's pre-built MDM solutions can bring quality data to the enterprise in a matter of months. But if you must build, at lease build with the world's best technology stack in a way that simplifies the eventual upgrade to Oracle MDM and to the full enterprise wide information architecture that it enables.

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  • Big Data – ClustrixDB – Extreme Scale SQL Database with Real-time Analytics, Releases Software Download – NewSQL

    - by Pinal Dave
    There are so many things to learn and there is so little time we all have. As we have little time we need to be selective to learn whatever we learn. I believe I know quite a lot of things in SQL but I still do not know what is around SQL. I have started to learn about NewSQL recently. If you wonder what is NewSQL I encourage all of you to read my blog post about NewSQL over here Big Data – Buzz Words: What is NewSQL – Day 10 of 21. NewSQL databases are quickly becoming popular – providing the scale of NoSQL with the SQL features and transactions. As a part of learning NewSQL database, I have recently started to learn about ClustrixDB. ClustrixDB has been the most mature NewSQL database used by some of the largest internet sites in the world for over 3 years, with extensive SQL support. In addition to scale, it provides fast real-time analytics by bringing massively parallel processing (MPP), available only in warehousing databases, to the transactional database. The reason I am more intrigued about learning ClustrixDB is their recent announcement on Oct 31. ClustrixDB was only available as an appliance, but now with their software release on Oct 31, everyone can use it. It is now available as forever free for up to 12 cores with community support, and there is a 45 day trial for unlimited cluster sizes. With the forever free world, I am indeed interested in ClustrixDB now. I know that few of the leading eCommerce sites in the world uses them for their transactional database. Here are few of the details I have quickly noted for ClustrixDB. ClustrixDB allows user to: Scale by simply adding nodes to the cluster with a single command Run billions of transactions a day Run fast real-time analytics Achieve high-availability with recovery from node failure Manages itself Easily migrate from MySQL as it is nearly plug-and-play compatible, use MySQL drivers, tools and replication. While I was going through the documentation I realized that ClustrixDB also has extensive support for SQL features including complex queries involving joins on a dozen or more tables, aggregates, sorts, sub-queries. It also supports stored procedures, triggers, foreign keys, partitioned and temporary tables, and fully online schema changes. It is indeed a very matured product and SQL solution. Indeed Clusterix sound very promising solution, I decided to dig a bit deeper to understand who are current customers of the Clustrix as they exist in the industry for quite a few years. Their client list is indeed very interesting and here is my quick research about them. Twoo.com – Europe’s largest social discovery (dating) site runs 4.4 Billion Transactions a day with table sizes over a Terabyte, on a 168 core cluster. EngageBDR – Top 3 in the online advertising category uses ClustrixDB to serve 6.9 billion ads a day through real-time bidding platform. Their reports went from 4 hours to 15 seconds. NoMoreRack – Top 2 fastest growing e-commerce company in US used ClustrixDB for high availability and fast growth through Amazon cloud. MakeMyTrip – India’s leading travel site runs on ClustrixDB with two clusters running as multi-master in Chennai and Bangalore. Many enterprises such as AOL, CSC, Rakuten, Symantec use ClustrixDB when their applications need scale. I must accept that I am impressed with the information I have learned so far and now is the time to do some hand’s on experience with their product. I want to learn this technology so in future when it is about NewSQL, I know what I am talking about. Read more why Clustrix explains why you ClustrixDB might be the right database for you. Download ClustrixDB with me today and install it on your machine so in future when we discuss the technical aspects of it, we all are on the same page. The software can be downloaded here. Reference : Pinal Dave (http://blog.SQLAuthority.com)Filed under: Big Data, MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Clustrix

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  • Android: NullPointerException error in getting data in database

    - by Gil Viernes Marcelo
    This what happens in the system. 1. Admin login this is in other activity but i will not post it coz it has nothing to do with this (no problem) 2. Register user in system (using database no problem) 3. Click add user button (where existing user who register must display its name in ListView) Problem: When I click adduser to see if the system registered the user, it force close. CurrentUser.java package com.example.istronggyminstructor; import java.util.ArrayList; import android.os.Bundle; import android.app.Activity; import android.content.Context; import android.content.Intent; import android.database.Cursor; import android.view.Gravity; import android.view.LayoutInflater; import android.view.Menu; import android.view.View; import android.view.View.OnClickListener; import android.view.ViewGroup; import android.view.ViewGroup.LayoutParams; import android.view.WindowManager; import android.widget.ArrayAdapter; import android.widget.Button; import android.widget.EditText; import android.widget.FrameLayout; import android.widget.ListView; import android.widget.PopupWindow; import android.widget.TextView; import android.widget.Toast; import java.util.ArrayList; import java.util.List; import java.util.Random; import com.example.istronggyminstructor.registeredUserList.Users; import android.content.ContentValues; import android.database.Cursor; import android.database.SQLException; import android.database.sqlite.SQLiteDatabase; public class CurrentUsers extends Activity { private Button register; private Button adduser; EditText getusertext, getpass, getweight, textdisp; View popupview, popupview2; public static ArrayList<String> ArrayofName = new ArrayList<String>(); protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_current_users); register = (Button) findViewById(R.id.regbut); adduser = (Button) findViewById(R.id.addbut); register.setOnClickListener(new OnClickListener() { @Override public void onClick(View arg0) { LayoutInflater inflator = (LayoutInflater) getBaseContext() .getSystemService(LAYOUT_INFLATER_SERVICE); popupview = inflator.inflate(R.layout.popup, null); final PopupWindow popupWindow = new PopupWindow(popupview, LayoutParams.WRAP_CONTENT, LayoutParams.WRAP_CONTENT); popupWindow.showAtLocation(popupview, Gravity.CENTER, 0, 0); popupWindow.setFocusable(true); popupWindow.update(); Button dismissbtn = (Button) popupview.findViewById(R.id.close); dismissbtn.setOnClickListener(new OnClickListener() { @Override public void onClick(View arg0) { popupWindow.dismiss(); } }); popupWindow.showAsDropDown(register, 50, -30); } }); //Thread.setDefaultUncaughtExceptionHandler(new forceclose(this)); } public void registerUser(View v) { EditText username = (EditText) popupview.findViewById(R.id.usertext); EditText password = (EditText) popupview .findViewById(R.id.passwordtext); EditText weight = (EditText) popupview.findViewById(R.id.weight); String getUsername = username.getText().toString(); String getPassword = password.getText().toString(); String getWeight = weight.getText().toString(); dataHandler dbHandler = new dataHandler(this, null, null, 1); Users user = new Users(getUsername, getPassword, Integer.parseInt(getWeight)); dbHandler.addUsers(user); Toast.makeText(getApplicationContext(), "Registering...", Toast.LENGTH_SHORT).show(); } public void onClick_addUser(View v) { LayoutInflater inflator = (LayoutInflater) getBaseContext() .getSystemService(LAYOUT_INFLATER_SERVICE); popupview2 = inflator.inflate(R.layout.popup2, null); final PopupWindow popupWindow = new PopupWindow(popupview2, LayoutParams.WRAP_CONTENT, LayoutParams.WRAP_CONTENT); popupWindow.showAtLocation(popupview2, Gravity.CENTER, 0, -10); popupWindow.setFocusable(true); popupWindow.update(); Button dismissbtn = (Button) popupview2.findViewById(R.id.close2); dismissbtn.setOnClickListener(new OnClickListener() { @Override public void onClick(View arg0) { popupWindow.dismiss(); } }); popupWindow.showAsDropDown(register, 50, -30); dataHandler dbHandler = new dataHandler(this, null, null, 1); dbHandler.getAllUsers(); ListView list = (ListView)findViewById(R.layout.popup2); ArrayAdapter<String> adapter = new ArrayAdapter<String>(this, android.R.layout.simple_list_item_1, ArrayofName); list.setAdapter(adapter); } @Override public boolean onCreateOptionsMenu(Menu menu) { getMenuInflater().inflate(R.menu.current_users, menu); return true; } } registeredUserList.java package com.example.istronggyminstructor; public class registeredUserList { public static class Users { private static int _id; private static String _users; private static String _password; private static int _weight; private static String[] _workoutlists; private static int _score; public Users() { } public Users(String username, String password, int weight) { _users = username; _password = password; _weight = weight; } public int getId() { return _id; } public static void setId(int id) { _id = id; } public String getUsers() { return _users; } public static void setUsers(String users) { _users = users; } public String getPassword(){ return _password; } public void setPassword(String password){ _password = password; } public int getWeight(){ return _weight; } public static void setWeight(int weight){ _weight = weight; } public String[] getWorkoutLists(){ return _workoutlists; } public void setWorkoutLists(String[] workoutlists){ _workoutlists = workoutlists; } public int score(){ return _score; } public void score(int score){ _score = score; } } } dataHandler.java package com.example.istronggyminstructor; import java.util.ArrayList; import java.util.List; import com.example.istronggyminstructor.registeredUserList.Users; import android.content.ContentValues; import android.content.Context; import android.database.Cursor; import android.database.sqlite.SQLiteDatabase; import android.database.sqlite.SQLiteDatabase.CursorFactory; import android.database.sqlite.SQLiteOpenHelper; public class dataHandler extends SQLiteOpenHelper { private static final int DATABASE_VERSION = 1; private static final String DATABASE_NAME = "userInfo.db"; public static final String TABLE_USERINFO = "user"; public static final String COLUMN_ID = "_id"; public static final String COLUMN_USERNAME = "username"; public static final String COLUMN_PASSWORD = "password"; public static final String COLUMN_WEIGHT = "weight"; public dataHandler(Context context, String name, CursorFactory factory, int version) { super(context, DATABASE_NAME, factory, DATABASE_VERSION); } @Override public void onCreate(SQLiteDatabase db) { String CREATE_USER_TABLE = "CREATE TABLE " + TABLE_USERINFO + " (" + COLUMN_ID + " INTEGER PRIMARY KEY, " + COLUMN_USERNAME + " TEXT," + COLUMN_PASSWORD + " TEXT, " + COLUMN_WEIGHT + " INTEGER " + ");"; db.execSQL(CREATE_USER_TABLE); } @Override public void onUpgrade(SQLiteDatabase db, int oldVersion, int newVersion) { db.execSQL("DROP TABLE IF EXISTS " + TABLE_USERINFO); onCreate(db); } public void addUsers(Users user) { ContentValues values = new ContentValues(); values.put(COLUMN_USERNAME, user.getUsers()); values.put(COLUMN_PASSWORD, user.getPassword()); values.put(COLUMN_WEIGHT, user.getWeight()); SQLiteDatabase db = this.getWritableDatabase(); db.insert(TABLE_USERINFO, null, values); db.close(); } public Users findUsers(String username) { String query = "Select * FROM " + TABLE_USERINFO + " WHERE " + COLUMN_USERNAME + " = \"" + username + "\""; SQLiteDatabase db = this.getWritableDatabase(); Cursor cursor = db.rawQuery(query, null); Users user = new Users(); if (cursor.moveToFirst()) { cursor.moveToFirst(); Users.setUsers(cursor.getString(1)); //Users.setWeight(Integer.parseInt(cursor.getString(3))); not yet needed cursor.close(); } else { user = null; } db.close(); return user; } public List<Users> getAllUsers(){ List<Users> user = new ArrayList(); String selectQuery = "SELECT * FROM " + TABLE_USERINFO; SQLiteDatabase db = this.getWritableDatabase(); Cursor cursor = db.rawQuery(selectQuery, null); if (cursor.moveToFirst()) { do { Users users = new Users(); users.setUsers(cursor.getString(1)); String name = cursor.getString(1); CurrentUsers.ArrayofName.add(name); // Adding contact to list user.add(users); } while (cursor.moveToNext()); } // return user list return user; } public boolean deleteUsers(String username) { boolean result = false; String query = "Select * FROM " + TABLE_USERINFO + " WHERE " + COLUMN_USERNAME + " = \"" + username + "\""; SQLiteDatabase db = this.getWritableDatabase(); Cursor cursor = db.rawQuery(query, null); Users user = new Users(); if (cursor.moveToFirst()) { Users.setId(Integer.parseInt(cursor.getString(0))); db.delete(TABLE_USERINFO, COLUMN_ID + " = ?", new String[] { String.valueOf(user.getId()) }); cursor.close(); result = true; } db.close(); return result; } } Logcat 08-20 03:23:23.293: E/AndroidRuntime(16363): FATAL EXCEPTION: main 08-20 03:23:23.293: E/AndroidRuntime(16363): java.lang.IllegalStateException: Could not execute method of the activity 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.view.View$1.onClick(View.java:3599) 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.view.View.performClick(View.java:4204) 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.view.View$PerformClick.run(View.java:17355) 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.os.Handler.handleCallback(Handler.java:725) 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.os.Handler.dispatchMessage(Handler.java:92) 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.os.Looper.loop(Looper.java:137) 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.app.ActivityThread.main(ActivityThread.java:5041) 08-20 03:23:23.293: E/AndroidRuntime(16363): at java.lang.reflect.Method.invokeNative(Native Method) 08-20 03:23:23.293: E/AndroidRuntime(16363): at java.lang.reflect.Method.invoke(Method.java:511) 08-20 03:23:23.293: E/AndroidRuntime(16363): at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:793) 08-20 03:23:23.293: E/AndroidRuntime(16363): at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:560) 08-20 03:23:23.293: E/AndroidRuntime(16363): at dalvik.system.NativeStart.main(Native Method) 08-20 03:23:23.293: E/AndroidRuntime(16363): Caused by: java.lang.reflect.InvocationTargetException 08-20 03:23:23.293: E/AndroidRuntime(16363): at java.lang.reflect.Method.invokeNative(Native Method) 08-20 03:23:23.293: E/AndroidRuntime(16363): at java.lang.reflect.Method.invoke(Method.java:511) 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.view.View$1.onClick(View.java:3594) 08-20 03:23:23.293: E/AndroidRuntime(16363): ... 11 more 08-20 03:23:23.293: E/AndroidRuntime(16363): Caused by: java.lang.NullPointerException 08-20 03:23:23.293: E/AndroidRuntime(16363): at com.example.istronggyminstructor.CurrentUsers.onClick_addUser(CurrentUsers.java:118) 08-20 03:23:23.293: E/AndroidRuntime(16363): ... 14 more

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  • Oracle Communications Data Model

    - by jean-pierre.dijcks
    I've mentioned OCDM in previous posts but found the following (see end of the post) podcast on the topic and figured it is worthwhile to spread the news some more. ORetailDM and OCommunicationsDM are the two data models currently available from Oracle. Both are intended to capture: Business best practices and industry knowledge Pre-built advanced analytics intended to predict future events before they happen (like the Churn model shown below) Oracle technology best practices to ensure optimal performance of the model All of this typically comes with a reduced time to implementation, or as the marketing slogan goes, reduced time to value. Here are the links: Podcast on OCDM OTN pages for OCDM and ORDM

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  • Importing data from text file to specific columns using BULK INSERT

    - by Dinesh Asanka
    Bulk insert is much faster than using other techniques such as  SSIS. However, when you are using bulk insert you can’t insert to specific columns. If, for example, there are five columns in a table you should have five values for each record in the text file you are importing from. This is an issue when you are expecting default values to be inserted into tables. Let us say you have table as below: In this table, you are expecting ID, Status and CreatedDate to be updated automatically, so your text file may only have   FirstName  LastName  values as below: Dinesh,Asanka Saman,Liyanage Ruwan,Silva Susantha,Bathige Jude,Peires Sanjeewa,Jayawickrama If you use bulk insert to this table like follows, You will be returned an error: Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 1, column 1 (ID). To avoid this you will need to create a view with the columns you are expecting to fill and use bulk insert against it. If you check the table now, you will see table with values in the text file and the default values.

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  • Javascript: Safely upload a client data file

    - by Jeffrey Sweeney
    I'm (still) working on a template-based XML editing program. It's a GUI-based XML editor that only allows users to add certain tags and attributes based off the requirements. You can see the current version here for an idea. Now, I'd like to allow users to upload their own data templates, but I'm concerned about potential XSS hacks. Currently, the template file is in Javascript object literal notation, which unsurprisingly is a security nightmare if the user can upload their own. I was thinking of using XML instead, but is there an even better alternative?

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  • Get aggregated view of data for entire website with Google Analytics

    - by crmpicco
    I have a website (www.ayrshireminis.com), which has three main sections under different directories, these are: /forum /galleries /contact I would like to have an aggregated view of the data for the whole website, but also for each section. What is the recommended approach for doing this? I believe I can create a web property that includes a profile for the entire website and duplicated filtered profiles, each section having an include filter. This is my gut instinct, but i'd like to know if there is another (better) way to do it? Maybe by having one account that includes a profile for the whole site and another profile with an include filter for the individual sections?

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  • Reuse the data CRUD methods in data access layer, but they are updated too quickly

    - by ValidfroM
    I agree that we should put CRUD methods in a data access layer, However, in my current project I have some issues. It is a legacy system, and there are quite a lot CRUD methods in some concrete manager classes. People including me seem to just add new methods to it, rather than reuse the existing methods. Because We don't know whether the existing method is what we need Even if we have source code, do we really need read other's code then make decision? It is updated too quickly. Do not have time get familiar with the DAO API. Back to the question, how do you solve that in your project? If we say "reuse", it really needs to be reusable rather than just an excuse.

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  • Design: How to model / where to store relational data between classes

    - by Walker
    I'm trying to figure out the best design here, and I can see multiple approaches, but none that seems "right." There are three relevant classes here: Base, TradingPost, and Resource. Each Base has a TradingPost which can offer various Resources depending on the Base's tech level. Where is the right place to store the minimum tech level a base must possess to offer any given resource? A database seems like overkill. Putting it in each subclass of Resource seems wrong--that's not an intrinsic property of the Resource. Do I have a mediating class, and if so, how does it work? It's important that I not be duplicating code; that I have one place where I set the required tech level for a given item. Essentially, where does this data belong? P.S. Feel free to change the title; I struggled to come up with one that fits.

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  • Still no detected structured data in Google Webmaster Tools [on hold]

    - by user6211
    Can you give me some suggestions what's wrong with my structured data? Google still cannot read it. It looks like this: <div class="identity"> <div itemscope itemtype="http://schema.org/LocalBusiness"> <a itemprop="url" href="http://MYDOMAIN.co.uk/"><div itemprop="name"><strong>MY_COMPANY</strong></div></a> <div itemprop="address" itemscope itemtype="http://schema.org/PostalAddress"> <span itemprop="streetAddress">MY_ADDRESS</span>, <span itemprop="addressLocality">London</span>, <span itemprop="postalCode">SE5 MY_XYZ</span>, <span itemprop="addressCountry">UK</span> </div> </div> </div>

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  • Consolidating hotels data from various booking sites with different IDs or reference

    - by Victor
    In one of my projects, I have data for hotels, and other booking sites are able to book this hotel. For example: Hotel A - Booking (ID = 4002), Expedia (ID = 123), Priceline (ID = 147) The three booking engines each uses their own Id to reference to Hotel A. I would need to check manually and make the right reference to the hotel. If I have 100,000 hotels, I have to check manually 300,000 (considering 3 booking sites) times? They might provide API, then I can cross check the name, address or latitude/longitude, but if they differ a little bit then I might give the wrong reference to the wrong hotel. I'm sure there are better ways to do this. There are many travel sites out there which do hotel price checking on many booking sites, but how do they do to make sure they are checking the right hotel on these booking sites? Anyone has any experience on this?

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  • Mount external HD ubuntu 12.10

    - by Luigi Tiburzi
    Although it's an abundantly treated matter, I'm unable to find an answer valid for my needs. I had a 12.04 installation of ubuntu and I decided to install the 12.10. I copied (using GParted) the partition where my system was to an external hd where there is a windows partition. Then I installed the newest ubuntu version and now I want to take back some files (for example my .emacs) from that partition but when I try to mount it, it is not found as sdb and if I mount it from /dev/usb/hddev0 I don't get any output, only a blinking cursor, no errors, no output. I even tried to mount it as an ntfs disk but the result was the same. It's like the hd cannot be detected. So how can I access data to that disk? Could I get them from GParted terminal instead of Ubuntu one? Thanks

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