Search Results

Search found 7617 results on 305 pages for 'fields'.

Page 56/305 | < Previous Page | 52 53 54 55 56 57 58 59 60 61 62 63  | Next Page >

• Using XML as data storage

  - by Kian Mayne

  I was thinking about the XML format and the following quote: “XML is not a database. It was never meant to be a database. It is never going to be a database. Relational databases are proven technology with more than 20 years of implementation experience. They are solid, stable, useful products. They are not going away. XML is a very useful technology for moving data between different databases or between databases and other programs. However, it is not itself a database. Don't use it like one.“ -Effective XML: 50 Specific Ways to Improve Your XML by Elliotte Rusty Harold (page 230, Part 4, Item 41, 2nd paragraph) This seems to really stress that XML should not be used for data storage and should only be used for program to program interoperability. Personally, I disagree and .NET's app.config file that's used to store a program's settings is an example of data storage in an XML file. However for databases rather than configurations etc XML should not be used. To develop my point, I will use two examples: A) Data about customers with fields that are all on one level i.e. there are a number of fields all relating to one customer with no children B) Data about configuration of an application where nested fields and properties make a lot of sense So my question is, Is this still a valid statement and is it now acceptable to store data using XML? EDIT: I've sent an email to the author of that quote to ask for his input/extra context.

  Read the article

• What is the difference between Row Level Security and RPD security?

  - by Jeffrey McDaniel

  Row level security (RLS) is a feature of Oracle Enterprise Edition database. RLS enforces security policies on the database level. This means any query executed against the database will respect the specific security applied through these policies. For P6 Reporting Database, these policies are applied during the ETL process. This gives database users the ability to access data with security enforcement even outside of the Oracle Business Intelligence application. RLS is a new feature of P6 Reporting Database starting in version 3.0. This allows for maximum security enforcement outside of the ETL and inside of Oracle Business Intelligence (Analysis and Dashboards). Policies are defined against the STAR tables based on Primavera Project and Resource security. RLS is the security method of Oracle Enterprise Edition customers. See previous blogs and P6 Reporting Database Installation and Configuration guide for more on security specifics. To allow the use of Oracle Standard Edition database for those with a small database (as defined in the P6 Reporting Database Sizing and Planning guide) an RPD with non-RLS is also available. RPD security is enforced by adding specific criteria to the physical and business layers of the RPD for those tables that contain projects and resources, and those fields that are cost fields vs. non cost fields. With the RPD security method Oracle Business Intelligence enforces security. RLS security is the default security method. Additional steps are required at installation and ETL run time for those Oracle Standard Edition customers who use RPD security. The RPD method of security enforcement existed from P6 Reporting Database 2.0/P6 Analytics 1.0 up until RLS became available in P6 Reporting Database 3.0\P6 Analytics 2.0.

  Read the article

• What to include in metadata?

  - by shyam

  I'm wondering if there are any general guidelines or best practices regarding when to split data into a metadata format, as oppose to directly embedding it within the data. (Specific example below). My understanding of metadata is that it describes data (without the need to actually look at the data), allowing for data to be quickly search/filtered for easy access. Let's take for example a simple 3D model format. The actual data file itself is a binary file containing vertices and colors. Things like creation date, modified data and author name would be things that describe the binary data, so I would say these belong as metadata (outside of the binary file). But what if the application had no need to search or filter by these fields? Would it be acceptable to embed these fields directly into the binary data itself? Could they be duplicated in both the binary data and the meta data, or would this be considered bad practice? What about more ambiguous fields such as the model name, which could be considered part of the data itself, but also as data describing the binary data?... How do you decide which data to embed in the actual binary file, as opposed to separating into a more flexible metadata format? Thanks!

  Read the article

• Be aware of the difference between CURRENT_DATE and SYSDATE

  - by Kevin Smith

  I was running some queries in SQL Developer against the WebCenter Content (WCC) schema that included date fields such as dInDate. I was comparing the dates against CURRENT_DATE. I was not getting the expected results. I did some googlng and didn’t find a solution, but I did run across a reference to SYSDATE. I tried SYSDATE in my queries and got the expected results. I did a TO_CHAR on the two date fields and found they returned different times. CURRENT_DATE returned the time from my laptop which was  in the EDT time zone. SYSDATE returned the time from the database server which happened to be in the PDT time zone. I guess if both the database server and my laptop were in the same time zone I would not have seen any problem. Here is the query I ran to display the two fields. select to_char(current_date,'DD-MON-YY HH:MI:SS'), to_char(sysdate,'DD-MON-YY HH:MI:SS') from dual; As you can see from the screen shot from SQL Developer they definitely returned different times. I’m sure there is some command or setting you can use to prevent this problem, but for me the take away is to use SYSDATE in your queries when you want to do any date comparison.

  Read the article

• Working with Reporting Services Filters–Part 5: OR Logic

  - by smisner

  When you combine multiple filters, Reporting Services uses AND logic. Once upon a time, there was actually a drop-down list for selecting AND or OR between filters which was very confusing to people because often it was grayed out. Now that selection is gone, but no matter. It wouldn’t help us solve the problem that I want to describe today. As with many problems, Reporting Services gives us more than one way to apply OR logic in a filter. If I want a filter to include this value OR that value for the same field, one approach is to set up the filter is to use the IN operator as I explained in Part 1 of this series. But what if I want to base the filter on two different fields? I  need a different solution. Using the AdventureWorksDW2008R2 database, I have a report that lists product sales: Let’s say that I want to filter this report to show only products that are Bikes (a category) OR products for which sales were greater than $1,000 in a year. If I set up the filter like this: Expression Data Type Operator Value [Category] Text = Bikes [SalesAmount]   > 1000 Then AND logic is used which means that both conditions must be true. That’s not the result I want. Instead, I need to set up the filter like this: Expression Data Type Operator Value =Fields!EnglishProductCategoryName.Value = "Bikes" OR Fields!SalesAmount.Value > 1000 Boolean = =True The OR logic needs to be part of the expression so that it can return a Boolean value that we test against the Value. Notice that I have used =True rather than True for the value. The filtered report appears below. Any non-bike product appears only if the total sales exceed $1,000, whereas Bikes appear regardless of sales. (You can’t see it in this screenshot, but Mountain-400-W Silver, 38 has sales of $923 in 2007 but gets included because it is in the Bikes category.)

  Read the article

• What is the best approach for database design with lots of columns?

  - by Pratyush

  I am writing a query based financial application. It lets the user to write complicated equations (much like WHERE part of an SQL query) and find companies matching those criteria. For the above, I currently have more than 500 columns in the database table (each column representing a financial field). Example of Columns are: company_name, sales_annual_00, sales_annual_01, sales_annual_02, sales_annual_03, sales_annual_04, protit_annual_00, profit_annual1...(over 500 such columns). The number of rows is around 5000. Going forward, I would like to further increase the number of columns/financial-fields. For the above I would like to get help regarding: 1) What is the best database design approach? Is it ok to have these many number of columns? 2) How can it be normalized? (User can use any of these fields in search criteria). 3) Is it ok to stick with MySQL, or modern document based databases like MongoDB should be better for it? P.S. (Update): I have been using MySQL till now and a running example of the usage is at: http://screener.in/companies/89/Formula-- In above there around 500 fields/columns to create your query on, however, I seek to increase that number to much more in future.

  Read the article

• Working with Reporting Services Filters–Part 5: OR Logic

  - by smisner

  When you combine multiple filters, Reporting Services uses AND logic. Once upon a time, there was actually a drop-down list for selecting AND or OR between filters which was very confusing to people because often it was grayed out. Now that selection is gone, but no matter. It wouldn’t help us solve the problem that I want to describe today. As with many problems, Reporting Services gives us more than one way to apply OR logic in a filter. If I want a filter to include this value OR that value for the same field, one approach is to set up the filter is to use the IN operator as I explained in Part 1 of this series. But what if I want to base the filter on two different fields? I  need a different solution. Using the AdventureWorksDW2008R2 database, I have a report that lists product sales: Let’s say that I want to filter this report to show only products that are Bikes (a category) OR products for which sales were greater than $1,000 in a year. If I set up the filter like this: Expression Data Type Operator Value [Category] Text = Bikes [SalesAmount]   > 1000 Then AND logic is used which means that both conditions must be true. That’s not the result I want. Instead, I need to set up the filter like this: Expression Data Type Operator Value =Fields!EnglishProductCategoryName.Value = "Bikes" OR Fields!SalesAmount.Value > 1000 Boolean = =True The OR logic needs to be part of the expression so that it can return a Boolean value that we test against the Value. Notice that I have used =True rather than True for the value. The filtered report appears below. Any non-bike product appears only if the total sales exceed $1,000, whereas Bikes appear regardless of sales. (You can’t see it in this screenshot, but Mountain-400-W Silver, 38 has sales of $923 in 2007 but gets included because it is in the Bikes category.)

  Read the article

• Making Multilingual J! 1.5 + + Joomfish + VM 1.17 more workable

  - by rhand

  I have been working with a multilingual Joomla! 1.5.23 e-commerce website for a client for quite a while and made several customizations. But the client is still not happy he has to adjust content at at least three locations: Joomfish Virtuemart Article Manager Joomfish is nice in the way that it allows you to create multilingual content and copy and paste the source language on the same page, which makes translation work easier but it is annoying in the way you have to edit several custom fields at different locations/ content types. As Joomla! source language content still needs to be created in the article manager first this is the second location the client has to work at. The third location is Virtuemart. Here all the products and product categories are created. And here we added some custom fields as well. Now I was considering upgrading the website to Joomla 1.7 or later on to 1.8. This J! versions have better multilingual support. But I wonder if er can really make the client's life easier. We will still have to copy the source language to a new article and create content in another language. We will still have the issue of content in custom fields that needs to be translated and we will still have to create content. Should I go for another CMS such as Magento or do you think there is a way in a more recent Joomla! version to work with all content in one or max two locations?

  Read the article

• Entity framework separating entities for product and customer specific implementation

  - by Codecat

  I am designing an application with intention into making it a product line. I would like to extend the functionality across all layers and first struggle is with domain models. For example, core functionality would have entity named Invoice with few standard fields and then customer requirements will add some new fields to it, but I don't want to add to core Invoice class. For every customer I could use customer specific DbContext and injected correct context with dependency injection. Also every customer will get they own deployment public class Product.Domain.Invoice { public int InvoiceId { get; set; } // Other fields } How to approach this problem? Solution 1 does not work since Entity Framework does not allow same simple name classes. public class CustomerA.Domain.Invoice : Product.Domain.Invoice { public User ReviewedBy { get; set; } public DateTime? ReviewedOn { get; set; } } Solution 2 Create separate table and link it to core domain table. Reusing services and controllers could be harder. public class CustomerA.Domain.CustomerAInvoice { public Product.Domain.Invoice Invoice { get; set; } public User ReviewedBy { get; set; } public DateTime? ReviewedOn { get; set; } }

  Read the article

• A tip: Updating Data in SharePoint 2010 using REST API

  - by Sahil Malik

  SharePoint 2010 Training: more information Here is a little tip that will save you hours of head scratching. See there are two ways to update data in SharePoint using REST based API. A PUT request is used to update an entire entity. If no values are specified for fields in the entity, the fields will be set to default values. A MERGE request is used to update only those field values that have changed. Any fields that are not specified by the operation will remain set to their current value.   Now, sit back and think about it. You are going to update the entire entity! Hmm. Which means, you need to a) specify every column value, and b) ensure that the read only values match what was supplied to you. What a pain in the donkey! So 99/100 times, a PUT request will give you a HTTP 500 internal server error occurred, which is just so helpful. Read full article ....

  Read the article

• Most common parts of a SELECT SQL query?

  - by jnrbsn

  I'm writing a function that generates a SELECT SQL query. (I'm not looking for a tool that already does this.) My function currently takes the following arguments which correspond to different parts of the SELECT query (the base table name is already known): where order fields joins group limit All of these arguments will be optional so that the function generates something like this by default: SELECT * FROM `table_name` I want to order the arguments so that the most often used parts of a SELECT query are first. That way the average call to the function will use as few of the arguments as possible rather than passing a null value or something like that to skip an argument. For example, if someone wanted to use the 1st and 3rd arguments but not the rest, they might have to pass a null value as the 2nd argument in order to skip it. So, for general purpose use, how should I order the arguments? Edit: To be more precise, out of the query parts I listed above, what is the order from most used to least used? Also, I'm not looking for solutions that allow me to not have to specify the order. Edit #2: The "fields" argument will default to "*" (i.e all fields/columns).

  Read the article

• Best Practice: What can be the hashCode() method implementation if custom field used in equals() method are null?

  - by goodspeed

  What is the best practice to return a value for hashCode() method if custom field used in equals are null ? I have a situation, where equals() override is implemented using custom fields. Usually it it is better to override hashCode() also using that custom fields used in equals(). But if all the custom fields used in equals() are null, then what would be the best implementation for hashCode()? Example: class Person { private String firstName; private String lastName; public String getFirstName() { return firstName; } public String getLastName() { return lastName; } @Override public boolean equals(Object object) { boolean result = false; if (object == null || object.getClass() != getClass()) { result = false; } else { Person person = (Person) object; if (this.firstName == person.getFirstName() && this.lastName == tiger.getLastName()) { result = true; } } return result; } @Override public int hashCode() { int hash = 3; if(this.firstName == null || this.lastName == null) { // <b>What is the best practice here, </b> // <b>is return super.hashCode() better ?</b> } hash = 7 * hash + this.firstName.hashCode(); hash = 7 * hash + this.lastName.hashCode(); return hash; } } is it required to check for null in hashCode() ? If yes, what should be returned if custom values are null ?

  Read the article

• How to convert List to Datatable in vb.net

  - by Samir R. Bhogayta

  Public Function ConvertToDataTable(Of T)(ByVal list As IList(Of T)) As DataTable        Dim table As New DataTable()        Dim fields() As FieldInfo = GetType(T).GetFields()        For Each field As FieldInfo In fields            table.Columns.Add(field.Name, field.FieldType)        Next        For Each item As T In list            Dim row As DataRow = table.NewRow()            For Each field As FieldInfo In fields                row(field.Name) = field.GetValue(item)            Next            table.Rows.Add(row)        Next        Return table    End Function

  Read the article

• Form development optimization

  - by Juan

  Like many web developers I do forms all the time. I found myself doing the same all the time: placing input fields, assigning a name to each, ajax the form, then create the PHP which involves to assign a PHP var to each $_REQUEST['var'], escape and validate data, build the html and emailing the results. So I found that 70% of the work is duplicated but I just can't duplicate a page and change the fields. I end up wasting more time reformatting, deleting and adding different fields than creating from scratch. I started planing to program a "list of IDs to html+php" converter in which I'd input all the IDs and this would output the basic html and php. Then I thought: there's got to be thousands of developers that go through this, I'd be reinventing the wheel. So this is my question, I'm trying to find that wheel that somebody must have invented already. I found this: http://www.trirand.com/blog/jqform/ which does more or less what I'm looking for but it's an expensive solution and it has too much functionality for what I'd be using it. Which tools do you use to optimize repetitive task about HTML and PHP?

  Read the article

• DB Design Pattern - Many to many classification / categorised tagging.

  - by Robin Day

  I have an existing database design that stores Job Vacancies. The "Vacancy" table has a number of fixed fields across all clients, such as "Title", "Description", "Salary range". There is an EAV design for "Custom" fields that the Clients can setup themselves, such as, "Manager Name", "Working Hours". The field names are stored in a "ClientText" table and the data stored in a "VacancyClientText" table with VacancyId, ClientTextId and Value. Lastly there is a many to many EAV design for custom tagging / categorising the vacancies with things such as Locations/Offices the vacancy is in, a list of skills required. This is stored as a "ClientCategory" table listing the types of tag, "Locations, Skills", a "ClientCategoryItem" table listing the valid values for each Category, e.g., "London,Paris,New York,Rome", "C#,VB,PHP,Python". Finally there is a "VacancyClientCategoryItem" table with VacancyId and ClientCategoryItemId for each of the selected items for the vacancy. There are no limits to the number of custom fields or custom categories that the client can add. I am now designing a new system that is very similar to the existing system, however, I have the ability to restrict the number of custom fields a Client can have and it's being built from scratch so I have no legacy issues to deal with. For the Custom Fields my solution is simple, I have 5 additional columns on the Vacancy Table called CustomField1-5. This removes one of the EAV designs. It is with the tagging / categorising design that I am struggling. If I limit a client to having 5 categories / types of tag. Should I create 5 tables listing the possible values "CustomCategoryItems1-5" and then an additional 5 many to many tables "VacancyCustomCategoryItem1-5" This would result in 10 tables performing the same storage as the three tables in the existing system. Also, should (heaven forbid) the requirements change in that I need 6 custom categories rather than 5 then this will result in a lot of code change. Therefore, can anyone suggest any DB Design Patterns that would be more suitable to storing such data. I'm happy to stick with the EAV approach, however, the existing system has come across all the usual performance issues and complex queries associated with such a design. Any advice / suggestions are much appreciated. The DBMS system used is SQL Server 2005, however, 2008 is an option if required for any particular pattern.

  Read the article

• Django save_m2m() and excluded field

  - by jul

  hi, in a ModelForm I replaced a field by excluding it and adding a new one with the same name, as shown below in AddRestaurantForm. When saving the form with the code shown below, I get an error in form.save_m2m() ("Truncated incorrect DOUBLE value"), which seems to be due to the function to attempt to save the tag field, while it is excluded. Is the save_m2m() function supposed to save excluded fields? Is there anything wrong in my code? Thanks Jul (...) new_restaurant = form.save(commit=False) new_restaurant.city = city new_restaurant.save() tags = form.cleaned_data['tag'] if(tags!=''): tags=tags.split(',') for t in tags: tag, created = Tag.objects.get_or_create(name = t.strip()) tag.save() new_restaurant.tag.add(tag) new_restaurant.save() form.save_m2m() models.py class Tag(models.Model): name = models.CharField(max_length=100, unique=True) class Restaurant(models.Model): name = models.CharField(max_length=50) city=models.ForeignKey(City) category=models.ManyToManyField(Category) tag=models.ManyToManyField(Tag, blank=True, null=True) forms.py class AddRestaurantForm(ModelForm): name = forms.CharField(widget=forms.TextInput(attrs=classtext)) city = forms.CharField(widget=forms.TextInput(attrs=classtext), max_length=100) tag = forms.CharField(widget=forms.TextInput(attrs=classtext), required=False) class Meta: model = Restaurant exclude = ('city','tag') Traceback: File "/var/lib/python-support/python2.5/django/core/handlers/base.py" in get_response 92. response = callback(request, *callback_args, **callback_kwargs) File "/home/jul/atable/../atable/resto/views.py" in addRestaurant 498. form.save_m2m() File "/var/lib/python-support/python2.5/django/forms/models.py" in save_m2m 75. f.save_form_data(instance, cleaned_data[f.name]) File "/var/lib/python-support/python2.5/django/db/models/fields/ related.py" in save_form_data 967. setattr(instance, self.attname, data) File "/var/lib/python-support/python2.5/django/db/models/fields/ related.py" in set 627. manager.add(*value) File "/var/lib/python-support/python2.5/django/db/models/fields/ related.py" in add 430. self._add_items(self.source_col_name, self.target_col_name, *objs) File "/var/lib/python-support/python2.5/django/db/models/fields/ related.py" in _add_items 497. [self._pk_val] + list(new_ids)) File "/var/lib/python-support/python2.5/django/db/backends/util.py" in execute 19. return self.cursor.execute(sql, params) File "/var/lib/python-support/python2.5/django/db/backends/mysql/ base.py" in execute 84. return self.cursor.execute(query, args) File "/var/lib/python-support/python2.5/MySQLdb/cursors.py" in execute 168. if not self._defer_warnings: self._warning_check() File "/var/lib/python-support/python2.5/MySQLdb/cursors.py" in _warning_check 82. warn(w[-1], self.Warning, 3) File "/usr/lib/python2.5/warnings.py" in warn 62. globals) File "/usr/lib/python2.5/warnings.py" in warn_explicit 102. raise message Exception Type: Warning at /restaurant/add/ Exception Value: Truncated incorrect DOUBLE value: 'a'

  Read the article

• Getting field of type bytea in helper table when using GenerationType.IDENTITY

  - by dtrunk

  I'm creating my db scheme using Hibernate. There's a Table called "tbl_articles" and another one called "tbl_categories". To have a n-n relationship a helper table ("tbl_articles_categories") is needed. Here are all necessary Entities: @Entity @Table( name = "tbl_articles" ) public class Article implements Serializable { private static final long serialVersionUID = 1L; @Id @Column( nullable = false ) @GeneratedValue( strategy = GenerationType.IDENTITY ) private Integer id; // other fields... public Integer getId() { return id; } public void setId( Integer id ) { this.id = id; } // other fields... } @Entity @Table( name = "tbl_categories" ) public class Category implements Serializable { private static final long serialVersionUID = 1L; @Id @Column( nullable = false ) @GeneratedValue( strategy = GenerationType.IDENTITY ) private Integer id; // other fields public Integer getId() { return id; } public void setId( Integer id ) { this.id = id; } // other fields... } @Entity @Table( name = "tbl_articles_categories" ) @AssociationOverrides({ @AssociationOverride( name = "pk.article", joinColumns = @JoinColumn( name = "article_id" ) ), @AssociationOverride( name = "pk.category", joinColumns = @JoinColumn( name = "category_id" ) ) }) public class ArticleCategory { private ArticleCategoryPK pk = new ArticleCategoryPK(); public void setPk( ArticleCategoryPK pk ) { this.pk = pk; } @EmbeddedId public ArticleCategoryPK getPk() { return pk; } @Transient public Article getArticle() { return pk.getArticle(); } public void setArticle( Article article ) { pk.setArticle( article ); } @Transient public Category getCategory() { return pk.getCategory(); } public void setCategory( Category category ) { pk.setCategory( category ); } } @Embeddable public class ArticleCategoryPK implements Serializable { private static final long serialVersionUID = 1L; @ManyToOne @ForeignKey( name = "tbl_articles_categories_fkey_article_id" ) private Article article; @ManyToOne @ForeignKey( name = "tbl_articles_categories_fkey_category_id" ) private Category category; public ArticleCategoryPK( Article article, Category category ) { setArticle( article ); setCategory( category ); } public ArticleCategoryPK() { } public Article getArticle() { return article; } public void setArticle( Article article ) { this.article = article; } public Category getCategory() { return category; } public void setCategory( Category category ) { this.category = category; } } Now, I'm getting a serial type what I wanted in my articles table as well as in my categories table. But looking into my helper table, there aren't the expected fields article_id and category_id each of type integer - instead there are article and category of type bytea. What's wrong here? EDIT: Sorry, forgot to mention that I'm using PostgreSQL.

  Read the article

• SQL Design Question regarding schema and if Name value pair is the best solution

  - by Aur

  I am having a small problem trying to decide on database schema for a current project. I am by no means a DBA. The application parses through a file based on user input and enters that data in the database. The number of fields that can be parsed is between 1 and 42 at the current moment. The current design of the database is entirely flat with there being 42 columns; some have repeated columns such as address1, address2, address3, etc... This says that I should normalize the data. However, data integrity is not needed at this moment and the way the data is shaped I'm looking at several joins. Not a bad thing but the data is still in a 1 to 1 relationship and I still see a lot of empty fields per row. So my concerns are that this does not allow the database or the application to be very extendable. If they want to add more fields to be parsed (which they do) than I'd need to create another table and add another foreign key to the linking table. The third option is I have a table where the fields are defined and a table for each record. So what I was thinking is to make a table that stores the value and then links to those two tables. The problem is I can picture the size of that table growing large depending on the input size. If someone gives me a file with 300,000 records than 300,000 x 40 = 12 million so I have some reservations. However I think if I get to that point than I should be happy it is being used. This option also allows for more custom displaying of information albeit a bit more work but little rework even if you add more fields. So the problem boils down to: 1. Current design is a flat file which makes extending it hard and it is not normalized. 2. Normalize the tables although no real benefits for the moment but requirements change. 3. Normalize it down into the name value pair and hope size doesn't hurt. There are a large number of inserts, updates, and selects against that table. So performance is a worry but I believe the saying is design now, performance testing later? I'm probably just missing something practical so any comments would be appreciated even if it’s a quick sanity check. Thank you for your time.

  Read the article

• Logging to MySQL without empty rows/skipped records?

  - by Lee Ward

  I'm trying to figure out how to make Squid proxy log to MySQL. I know ACL order is pretty important but I'm not sure if I understand exactly what ACLs are or do, it's difficult to explain, but hopefully you'll see where I'm going with this as you read! I have created the lines to make Squid interact with a helper in squid.conf as follows: external_acl_type mysql_log %LOGIN %SRC %PROTO %URI php /etc/squid3/custom/mysql_lg.php acl ex_log external mysql_log http_access allow ex_log The external ACL helper (mysql_lg.php) is a PHP script and is as follows: error_reporting(0); if (! defined(STDIN)) { define("STDIN", fopen("php://stdin", "r")); } $res = mysql_connect('localhost', 'squid', 'testsquidpw'); $dbres = mysql_select_db('squid', $res); while (!feof(STDIN)) { $line = trim(fgets(STDIN)); $fields = explode(' ', $line); $user = rawurldecode($fields[0]); $cli_ip = rawurldecode($fields[1]); $protocol = rawurldecode($fields[2]); $uri = rawurldecode($fields[3]); $q = "INSERT INTO logs (id, user, cli_ip, protocol, url) VALUES ('', '".$user."', '".$cli_ip."', '".$protocol."', '".$uri."');"; mysql_query($q) or die (mysql_error()); if ($fault) { fwrite(STDOUT, "ERR\n"); }; fwrite(STDOUT, "OK\n"); } The configuration I have right now looks like this: ## Authentication Handler auth_param ntlm program /usr/bin/ntlm_auth --helper-protocol=squid-2.5-ntlmssp auth_param ntlm children 30 auth_param negotiate program /usr/bin/ntlm_auth --helper-protocol=squid-2.5-basic auth_param negotiate children 5 # Allow squid to update log external_acl_type mysql_log %LOGIN %SRC %PROTO %URI php /etc/squid3/custom/mysql_lg.php acl ex_log external mysql_log http_access allow ex_log acl localnet src 172.16.45.0/24 acl AuthorizedUsers proxy_auth REQUIRED acl SSL_ports port 443 acl Safe_ports port 80 # http acl Safe_ports port 21 # ftp acl Safe_ports port 443 # https acl CONNECT method CONNECT acl blockeddomain url_regex "/etc/squid3/bl.acl" http_access deny blockeddomain deny_info ERR_BAD_GENERAL blockeddomain # Deny requests to certain unsafe ports http_access deny !Safe_ports # Deny CONNECT to other than secure SSL ports http_access deny CONNECT !SSL_ports # Allow the internal network access to this proxy http_access allow localnet # Allow authorized users access to this proxy http_access allow AuthorizedUsers # FINAL RULE - Deny all other access to this proxy http_access deny all From testing, the closer to the bottom I place the logging lines the less it logs. Oftentimes, it even places empty rows in to the MySQL table. The file-based logs in /var/log/squid3/access.log are correct but many of the rows in the access logs are missing from the MySQL logs. I can't help but think it's down to the order I'm putting lines in because I want to log everything to MySQL, unauthenticated requests, blocked requests, which category blocked a specific request. The reason I want this in MySQL is because I'm trying to have everything managed via a custom web-based frontend and want to avoid using any shell commands and access to system log files if I can help it. The end result is to make it as easy as possible to maintain without keeping staff waiting on the phone whilst I add a new rule and reload the server! Hopefully someone can help me out here because this is very much a learning experience for me and I'm pretty stumped. Many thanks in advance for any help!

  Read the article

• Squid - Logging to MySQL without empty rows/skipped records?

  - by Lee Ward

  I'm trying to figure out how to make Squid proxy log to MySQL. I know ACL order is pretty important but I'm not sure if I understand exactly what ACLs are or do, it's difficult to explain, but hopefully you'll see where I'm going with this as you read! I have created the lines to make Squid interact with a helper in squid.conf as follows: external_acl_type mysql_log %LOGIN %SRC %PROTO %URI php /etc/squid3/custom/mysql_lg.php acl ex_log external mysql_log http_access allow ex_log The external ACL helper (mysql_lg.php) is a PHP script and is as follows: error_reporting(0); if (! defined(STDIN)) { define("STDIN", fopen("php://stdin", "r")); } $res = mysql_connect('localhost', 'squid', 'testsquidpw'); $dbres = mysql_select_db('squid', $res); while (!feof(STDIN)) { $line = trim(fgets(STDIN)); $fields = explode(' ', $line); $user = rawurldecode($fields[0]); $cli_ip = rawurldecode($fields[1]); $protocol = rawurldecode($fields[2]); $uri = rawurldecode($fields[3]); $q = "INSERT INTO logs (id, user, cli_ip, protocol, url) VALUES ('', '".$user."', '".$cli_ip."', '".$protocol."', '".$uri."');"; mysql_query($q) or die (mysql_error()); if ($fault) { fwrite(STDOUT, "ERR\n"); }; fwrite(STDOUT, "OK\n"); } The configuration I have right now looks like this: ## Authentication Handler auth_param ntlm program /usr/bin/ntlm_auth --helper-protocol=squid-2.5-ntlmssp auth_param ntlm children 30 auth_param negotiate program /usr/bin/ntlm_auth --helper-protocol=squid-2.5-basic auth_param negotiate children 5 # Allow squid to update log external_acl_type mysql_log %LOGIN %SRC %PROTO %URI php /etc/squid3/custom/mysql_lg.php acl ex_log external mysql_log http_access allow ex_log acl localnet src 172.16.45.0/24 acl AuthorizedUsers proxy_auth REQUIRED acl SSL_ports port 443 acl Safe_ports port 80 # http acl Safe_ports port 21 # ftp acl Safe_ports port 443 # https acl CONNECT method CONNECT acl blockeddomain url_regex "/etc/squid3/bl.acl" http_access deny blockeddomain deny_info ERR_BAD_GENERAL blockeddomain # Deny requests to certain unsafe ports http_access deny !Safe_ports # Deny CONNECT to other than secure SSL ports http_access deny CONNECT !SSL_ports # Allow the internal network access to this proxy http_access allow localnet # Allow authorized users access to this proxy http_access allow AuthorizedUsers # FINAL RULE - Deny all other access to this proxy http_access deny all From testing, the closer to the bottom I place the logging lines the less it logs. Oftentimes, it even places empty rows in to the MySQL table. The file-based logs in /var/log/squid3/access.log are correct but many of the rows in the access logs are missing from the MySQL logs. I can't help but think it's down to the order I'm putting lines in because I want to log everything to MySQL, unauthenticated requests, blocked requests, which category blocked a specific request. The reason I want this in MySQL is because I'm trying to have everything managed via a custom web-based frontend and want to avoid using any shell commands and access to system log files if I can help it. The end result is to make it as easy as possible to maintain without keeping staff waiting on the phone whilst I add a new rule and reload the server! Hopefully someone can help me out here because this is very much a learning experience for me and I'm pretty stumped. Many thanks in advance for any help!

  Read the article

• Understanding Collabnet&rsquo;s LDAP binding

  - by Robert May

  We want to use both subversion usernames and passwords as well as Active Directory for our authentication on our Collabnet subversion server. This has proven to be more of a challenge than we thought, mostly because Collabnet’s documentation is pretty poor. To supplement that documentation, I add my own. The first thing to understand is that the attribute that you specify in the LDAP Login Attribute ONLY applies to lookups done for the user.  It does NOT apply to the LDAP Bind DN field.  Second, know that the debug logs (error is the one you want) don’t give you debug information for the bind DN, just the login attempts.  Third, by default, Active Directory does not allow anonymous binds, so you MUST put in a user that has the authority to query the Active Directory ldap. Because of these items, the values to set in those fields can be somewhat confusing.  You’ll want to have ADSI Edit handy (I also used ldp, which is installed by default on server 2008), since ADSI Edit can help you find stuff in your active directory.  Be careful, you can also break stuff. Here’s what should go into those fields. LDAP Security Level:  Should be set to None LDAP Server Host:  Should be set to the full name of a domain controller in your domain.  For example, dc.mydomain.com LDAP Server Port:  Should be set to 3268.  The default port of 389 will only query that specific server, not the global catalog.  By setting it to 3268, the global catalog will be queried, which is probably what you want. LDAP Base DN:  Should be set to the location where you want the search for users to begin.  By default, the search scope is set to sub, so all child organizational units below this setting will be searched.  In my case, I had created an OU specifically for users for group policies.  My value ended up being:  OU=MyOu,DC=domain,DC=org.   However, if you’re pointing it to the default Users folder, you may end up with something like CN=Users,DC=domain,DC=org (or com or whatever).  Again, use ADSI edit and use the Distinguished Name that it shows. LDAP Bind DN:  This needs to be the Distinguished Name of the user that you’re going to use for binding (i.e. the user you’ll be impersonating) for doing queries.  In my case, it ended up being CN=svn svn,OU=MyOu,DC=domain,DC=org.  Why the double svn, you might ask?  That’s because the first and last name fields are set to svn and by default, the distinguished name is the first and last name fields!  That’s important.  Its NOT the username or account name!  Again, use ADSI edit, browse to the username you want to use, right click and select properties, and then search the attributes for the Distinguished Name.  Once you’ve found that, select it and click View and you can copy and paste that into this field. LDAP Bind Password:  This is the password for the account in the Bind DN LDAP login Attribute: sAMAccountName.  If you leave this blank, uid is used, which may not even be set.  This tells it to use the Account Name field that’s defined under the account tab for users in Active Directory Users and Computers.  Note that this attribute DOES NOT APPLY to the LDAP Bind DN.  You must use the full distinguished name of the bind DN.  This attribute allows users to type their username and password for authentication, rather than typing their distinguished name, which they probably don’t know. LDAP Search Scope:  Probably should stay at sub, but could be different depending on your situation. LDAP Filter:  I left mine blank, but you could provide one to limit what you want to see.  LDP would be helpful for determining what this is. LDAP Server Certificate Verification:  I left it checked, but didn’t try it without it being checked. Hopefully, this will save some others pain when trying to get Collabnet setup. Technorati Tags: Subversion,collabnet

  Read the article

• New security options in UCM Patch Set 3

  - by kyle.hatlestad

  While the Patch Set 3 (PS3) release was mostly focused on bug fixes and such, some new features sneaked in there. One of those new features is to the security options. In 10gR3 and prior versions, UCM had a component called Collaboration Manager which allowed for project folders to be created and groups of users assigned as members to collaborate on documents. With this component came access control lists (ACL) for content and folders. Users could assign specific security rights on each and every document and folder within a project. And it was even possible to enable these ACL's without having the Collaboration Manager component enabled (see technote# 603148.1). When 11g came out, Collaboration Manager was no longer available. But the configuration settings to turn on ACLs were still there. Well, in PS3 they're implemented slightly differently. And there is a new component available which adds an additional dimension to define security on the object, Roles. So now instead of selecting individual users or groups of users (defined as an Alias in User Admin), you can select a particular role. And if a user has that role, they are granted that level of access. This can allow for a much more flexible and manageable security model instead of trying to manage with just user and group access as people come and go in the organization. The way that it is enabled is still through configuration entries. First log in as an administrator and go to Administration -> Admin Server. On the Component Manager page, click the 'advanced component manager' link in the description paragraph at the top. In the list of Disabled Components, enable the RoleEntityACL component. Then click the General Configuration link on the left. In the Additional Configuration Variables text area, enter the new configuration values: UseEntitySecurity=true SpecialAuthGroups=<comma separated list of Security Groups to honor ACLs> The SpecialAuthGroups should be a list of Security Groups that honor the ACL fields. If an ACL is applied to a content item with a Security Group outside this list, it will be ignored. Save the settings and restart the instance. Upon restart, three new metadata fields will be created: xClbraUserList, xClbraAliasList, xClbraRoleList. If you are using OracleTextSearch as the search indexer, be sure to run a Fast Rebuild on the collection. On the Check In, Search, and Update pages, values are added by simply typing in the value and getting a type-ahead list of possible values. Select the value, click Add and then set the level of access (Read, Write, Delete, or Admin). If all of the fields are blank, then it simply falls back to just Security Group and Account access. For Users and Groups, these values are automatically picked up from the corresponding database tables. In the case of Roles, this is an explicitly defined list of choices that are made available. These values must match the role that is being defined from WebLogic Server or you LDAP/AD repository. To add these values, go to Administration -> Admin Applets -> Configuration Manager. On the Views tab, edit the values for the ExternalRolesView. By default, 'guest' and 'authenticated' are added. Once added to through the view, they will be available to select from for the Roles Access List. As for how they are stored in the metadata fields, each entry starts with it's identifier: ampersand (&) symbol for users, "at" (@) symbol for groups, and colon (:) for roles. Following that is the entity name. And at the end is the level of access in paranthesis. e.g. (RWDA). And each entry is separated by a comma. So if you were populating values through batch loader or an external source, the values would be defined this way. Detailed information on Access Control Lists can be found in the Oracle Fusion Middleware System Administrator's Guide for Oracle Content Server.

  Read the article

• Subterranean IL: Custom modifiers

  - by Simon Cooper

  In IL, volatile is an instruction prefix used to set a memory barrier at that instruction. However, in C#, volatile is applied to a field to indicate that all accesses on that field should be prefixed with volatile. As I mentioned in my previous post, this means that the field definition needs to store this information somehow, as such a field could be accessed from another assembly. However, IL does not have a concept of a 'volatile field'. How is this information stored? Attributes The standard way of solving this is to apply a VolatileAttribute or similar to the field; this extra metadata notifies the C# compiler that all loads and stores to that field should use the volatile prefix. However, there is a problem with this approach, namely, the .NET C++ compiler. C++ allows methods to be overloaded using properties, like volatile or const, on the parameters; this is perfectly legal C++: public ref class VolatileMethods { void Method(int *i) {} void Method(volatile int *i) {} } If volatile was specified using a custom attribute, then the VolatileMethods class wouldn't be compilable to IL, as there is nothing to differentiate the two methods from each other. This is where custom modifiers come in. Custom modifiers Custom modifiers are similar to custom attributes, but instead of being applied to an IL element separately to its declaration, they are embedded within the field or parameter's type signature itself. The VolatileMethods class would be compiled to the following IL: .class public VolatileMethods { .method public instance void Method(int32* i) {} .method public instance void Method( int32 modreq( [mscorlib]System.Runtime.CompilerServices.IsVolatile)* i) {} } The modreq([mscorlib]System.Runtime.CompilerServices.IsVolatile) is the custom modifier. This adds a TypeDef or TypeRef token to the signature of the field or parameter, and even though they are mostly ignored by the CLR when it's executing the program, this allows methods and fields to be overloaded in ways that wouldn't be allowed using attributes. Because the modifiers are part of the signature, they need to be fully specified when calling such a method in IL: call instance void Method( int32 modreq([mscorlib]System.Runtime.CompilerServices.IsVolatile)*) There are two ways of applying modifiers; modreq specifies required modifiers (like IsVolatile), and modopt specifies optional modifiers that can be ignored by compilers (like IsLong or IsConst). The type specified as the modifier argument are simple placeholders; if you have a look at the definitions of IsVolatile and IsLong they are completely empty. They exist solely to be referenced by a modifier. Custom modifiers are used extensively by the C++ compiler to specify concepts that aren't expressible in IL, but still need to be taken into account when calling method overloads. C++ and C# That's all very well and good, but how does this affect C#? Well, the C++ compiler uses modreq(IsVolatile) to specify volatility on both method parameters and fields, as it would be slightly odd to have the same concept represented using a modifier or attribute depending on what it was applied to. Once you've compiled your C++ project, it can then be referenced and used from C#, so the C# compiler has to recognise the modreq(IsVolatile) custom modifier applied to fields, and vice versa. So, even though you can't overload fields or parameters with volatile using C#, volatile needs to be expressed using a custom modifier rather than an attribute to guarentee correct interoperability and behaviour with any C++ dlls that happen to come along. Next up: a closer look at attributes, and how certain attributes compile in unexpected ways.

  Read the article

• What is the right way to process inconsistent data files?

  - by Tahabi

  I'm working at a company that uses Excel files to store product data, specifically, test results from products before they are shipped out. There are a few thousand spreadsheets with anywhere from 50-100 relevant data points per file. Over the years, the schema for the spreadsheets has changed significantly, but not unidirectionally - in the sense that, changes often get reverted and then re-added in the space of a few dozen to few hundred files. My project is to convert about 8000 of these spreadsheets into a database that can be queried. I'm using MongoDB to deal with the inconsistency in the data, and Python. My question is, what is the "right" or canonical way to deal with the huge variance in my source files? I've written a data structure which stores the data I want for the latest template, which will be the final template used going forward, but that only helps for a few hundred files historically. Brute-forcing a solution would mean writing similar data structures for each version/template - which means potentially writing hundreds of schemas with dozens of fields each. This seems very inefficient, especially when sometimes a change in the template is as little as moving a single line of data one row down or splitting what used to be one data field into two data fields. A slightly more elegant solution I have in mind would be writing schemas for all the variants I can find for pre-defined groups in the source files, and then writing a function to match a particular series of files with a series of variants that matches that set of files. This is because, more often that not, most of the file will remain consistent over a long period, only marred by one or two errant sections, but inside the period, which section is inconsistent, is inconsistent. For example, say a file has four sections with three data fields, which is represented by four Python dictionaries with three keys each. For files 7000-7250, sections 1-3 will be consistent, but section 4 will be shifted one row down. For files 7251-7500, 1-3 are consistent, section 4 is one row down, but a section five appears. For files 7501-7635, sections 1 and 3 will be consistent, but section 2 will have five data fields instead of three, section five disappears, and section 4 is still shifted down one row. For files 7636-7800, section 1 is consistent, section 4 gets shifted back up, section 2 returns to three cells, but section 3 is removed entirely. Files 7800-8000 have everything in order. The proposed function would take the file number and match it to a dictionary representing the data mappings for different variants of each section. For example, a section_four_variants dictionary might have two members, one for the shifted-down version, and one for the normal version, a section_two_variants might have three and five field members, etc. The script would then read the matchings, load the correct mapping, extract the data, and insert it into the database. Is this an accepted/right way to go about solving this problem? Should I structure things differently? I don't know what to search Google for either to see what other solutions might be, though I believe the problem lies in the domain of ETL processing. I also have no formal CS training aside from what I've taught myself over the years. If this is not the right forum for this question, please tell me where to move it, if at all. Any help is most appreciated. Thank you.

  Read the article

• DataContractSerializer: type is not serializable because it is not public?

  - by Michael B. McLaughlin

  I recently ran into an odd and annoying error when working with the DataContractSerializer class for a WP7 project. I thought I’d share it to save others who might encounter it the same annoyance I had. So I had an instance of  ObservableCollection<T> that I was trying to serialize (with T being a class I wrote for the project) and whenever it would hit the code to save it, it would give me: The data contract type 'ProjectName.MyMagicItemsClass' is not serializable because it is not public. Making the type public will fix this error. Alternatively, you can make it internal, and use the InternalsVisibleToAttribute attribute on your assembly in order to enable serialization of internal members - see documentation for more details. Be aware that doing so has certain security implications. This, of course, was malarkey. I was trying to write an instance of MyAwesomeClass that looked like this: [DataContract] public class MyAwesomeClass { [DataMember] public ObservableCollection<MyMagicItemsClass> GreatItems { get; set; }   [DataMember] public ObservableCollection<MyMagicItemsClass> SuperbItems { get; set; }     public MyAwesomeClass { GreatItems = new ObservableCollection<MyMagicItemsClass>(); SuperbItems = new ObservableCollection<MyMagicItemsClass>(); } }   That’s all well and fine. And MyMagicItemsClass was also public with a parameterless public constructor. It too had DataContractAttribute applied to it and it had DataMemberAttribute applied to all the properties and fields I wanted to serialize. Everything should be cool, but it’s not because I keep getting that “not public” exception. I could tell you about all the things I tried (generating a List<T> on the fly to make sure it wasn’t ObservableCollection<T>, trying to serialize the the Collections directly, moving it all to a separate library project, etc.), but I want to keep this short. In the end, I remembered my the “Debug->Exceptions…” VS menu option that brings up the list of exception-related circumstances under which the Visual Studio debugger will break. I checked the “Thrown” checkbox for “Common Language Runtime Exceptions”, started the project under the debugger, and voilà: the true problem revealed itself. Some of my properties had fairly elaborate setters whose logic I wanted to ignore. So for some of them, I applied an IgnoreDataMember attribute to them and applied the DataMember attribute to the underlying fields instead. All of which, in line with good programming practices, were private. Well, it just so happens that WP7 apps run in a “partial trust” environment and outside of “full trust”-land, DataContractSerializer refuses to serialize or deserialize non-public members. Of course that exception was swallowed up internally by .NET so all I ever saw was that bizarre message about things that I knew for certain were public being “not public”. I changed all the private fields I was serializing to public and everything worked just fine. In hindsight it all makes perfect sense. The serializer uses reflection to build up its graph of the object in order to write it out. In partial trust, you don’t want people using reflection to get at non-public members of an object since there are potential security problems with allowing that (you could break out of the sandbox pretty quickly by reflecting and calling the appropriate methods and cause some havoc by reflecting and setting the appropriate fields in certain circumstances. The fact that you cannot reflect your own assembly seems a bit heavy-handed, but then again I’m not a compiler writer or a framework designer and I have no idea what sorts of difficulties would go into allowing that from a compilation standpoint or what sorts of security problems allowing that could present (if any). So, lesson learned. If you get an incomprehensible exception message, turn on break on all thrown exceptions and try running it again (it might take a couple of tries, depending) and see what pops out. Chances are you’ll find the buried exception that actually explains what was going on. And if you’re getting a weird exception when trying to use DataContractSerializer complaining about public types not being public, chances are you’re trying to serialize a private or protected field/property.

  Read the article

< Previous Page | 52 53 54 55 56 57 58 59 60 61 62 63  | Next Page >