Is there a way to limit default column width? - oracle-sqldeveloper

In Oracle SQL Developer selecting VARCHAR2, CLOB or LONG columns shows all its contents by default. Is there a way to limit this default to e.g. 20 characters, or at least not allowing columns to be bigger than the screen width?
I know I can use Auto-fit all columns → on Header, but it limits the size of columns usually too much. However, it is still easier to expand a small column, than to contract one that spans several screen widths.

This is the default view for version 20.2 - note the CLOB doesn't display in full nor take the entire screen, it leaves room for the other columns.
You could of course always use the SUBSTR() function on your CLOBs to determine exactly how much data to show for casual browsing.

Related

In PostgreSQL, is it possible to have a default format for real columns?

In PostgreSQL, I have a column with people's height in meters. If the height is, say 1.75 m, it shows properly, but if the height is 1.70 m, it shows as 1.7. I would like to have this already formatted to two decimal places, showing as 1.70 without formatting in each and every SQL call. Can I specify this in the table creation? Or a stored procedure, or something? I've seen a few things about timestamps, but not for real fields. Knowing how to format the decimal point as a colon (1,70) would be a plus.
Basically, presentation and "cosmetics" are the job of the application, not the database.
Having a default number of decimal places for floats would also create a problem, because the data returned by the database would not be the actual data in the column. So if you did a SELECT and it returned a value of 1.75, then if you searched for this value, you might not find it because the actual value stored was not 1.75 but 1.7499999999 and it was only rounded for display.
Potential solutions:
If you want to store a specified number of digits, use NUMERIC. This will solve the 1.7499999999 problem above. If you use NUMERIC, when doing a SELECT you get the actual contents of the column.
In your app, if you use an ORM, use a Decimal (or similar) type for the column with the appropriate settings so it displays the way you want.
Or create a view with the format applied to the column, but in this case if you want the trailing zero, the type will be text and not float, and it will not be searchable unless you create an extra index on it.
Generated column with the number formatted as you want, maybe easier than a view

How to change the column width/ratio in Flexible Column Layout?

The predefined ratios of sap.f.LayoutType for two columns in Flexible Column Layout are
67/33/- TwoColumnsBeginExpanded
33/67/- TwoColumnsMidExpanded
Is there a way to change the ratio/width of the columns?
I wanted to have a 50%/50% ratio, but it seems not possible according to Documentation
Although the FlexibleColumnLayout can display 2 or 3 pages at one
time, they can never have equal width (50%/50% or 33%/33%/33%). One of
the pages is always larger (expanded) or even takes up the full width
of the control (fullscreen). This is intentional because users should
have a clear indication of what to focus their attention on at any
given moment, for example, a list of items, one particular item, one
item’s details.
Now I'm using sap.ui.layout.ResponsiveSplitter instead.

tableau show categories from calculation even when a category is not visible

I have a calculation and it outputs multiple values. Then I am creating a table on those values. For example, in below data my formula is
if data is 1 then calculation is `one`
if data is 2 then calculation is `two`
if data is 3 then calculation is `three`
as three doesn't really appear in the output, when I create a table, three is not displayed. Is there any way to display it?
I tried table layout >> show empty rows and columns and it didn't work
data calculation
1 one
2 two
Tableau discovers the possible values for a dimension field dynamically from the query results.
If ‘three’ does not appear in your data, then how do you expect Tableau to know to make a column header for that non existent, but potential, value? It can’t read your mind.
This situation does occur often though - perhaps you want row or column headers to remain stable, even when you change filters in a way that causes some to no longer appear in the query results.
There are a few ways you can force Tableau to pad ** or **complete a domain:
one solution is to pad your data to make sure each value for your dimension field appears in at least one data row.
You can often do this easily by using a union to append some extra rows to your original data. You can often add padding rows that don’t impact any results by leaving all your Measure columns null since nulls are ignored by aggregation functions
Another common solution that is a bit more effort is to make what is known as scaffolding data source that is not much more than a list of your dimension members. You can then use that data source as a primary data source with data blending, making your original data source secondary.
There are two situations where Tableau can detect the absence of data and leave space for it in the visualization automatically
for numeric types, you can create a bin field that will automatically pad for missing bins
similarly, date fields can show missing values because, like bins, Tableau can tell when a month doesn’t appear in the data and leave room for it in the view

How to display 40 + columns in Tableau?

I am trying to do a list report with about 40 columns(Dims+measure) but not able to get it right,
the requirement pushes the Tableau limitation by exploiting its limit to only 16 columns.
How can I get this done?
I read this
Here is my Tableau workbook with 16+ columns but no column header
Go to Analysis-->Table Layout -->Advanced and change the number in Rows and Columns as per your need.
You can't add more than 16 to this, but increase it to 16 (for identification).
So, save the Tableau file with extension .TWB. Then open this file in notepad.
Then search for the text: attr='row-levels'.
You will find something like:
<format attr='row-levels' value='16' />
<format attr='row-horiz-levels' value='16' />
Change the value of 16 to desired column numbers. Save the notepad file. Open it in Tableau.
The measures names and measures values special fields can help here and covers most use cases. (Using the measure names and values fields is likely a better choice than creating 40+ marks cards as you did in your posted example)
Put Measure Names on the column and filter shelves and measure values on the text shelf. Then add the measure fields you want to the Measures Values shelf. Then put the dimensions that you wish on the rows shelf.
A single field+aggregation can only be on the Measure Values shelf once, but a field can repeat with different aggregations -- so you can show the min, avg and max of a measure in 3 different columns.
As you mentioned, you can increase the max col and row headers up to 16 each via the Analysis->Table Layout->Advanced menu and panel. Beyond that point, adjacent columns will still display, just be coalesced for display.
Still you can have an apparently arbitrary number of fields on the measures values shelf, so can display as many columns of measures (data) as you wish, even though adjacent header columns for dimension (~category) get coalesced for display once you hit the header limit.
Tableau is optimized for summarizing data for efficient interpretation by humans, so displaying extremely wide tables of data is not the best fit for the tool (or a human reader frankly). Importing and exporting large tables is certainly possible.
At the 2015 conference I went to a session called "Use Tableau Like a Sith" and they showed us how to change the XML to workaround the 16 limit. Caveat being this is not supported.
Find the entries in the attached image and change their value to 40. In the screenshot, the Sith presenters were changing them to 36.
Here is a workaround for some data sets:
convert your fields from Dimension to Measure, and then
display using Measure Names / Measure Values, as #Alex Blakemore suggested.
For example, Boolean fields can be converted to numeric using INT().
PROS:
It is easier to change which fields to plot using Measure Names / Measure Values.
Faster performance, at least for some data sets.
CONS:
Often data sets have some fields that cannot or should not be converted to measure.
Not as easy or straightforward as changing Analysis > Table Layout > Advanced settings, or the xml-editing workaround suggested by #Cyndi1976.
There are Two ways:
Edit the saved .twb file and edit the Below xml code by opening the workbook with Notepad
<format attr='row-levels' value='16' />
<format attr='row-horiz-levels' value='16' />
Create 3 different worksheets each consisting multiple column but each worksheet consisting columns >16 and place them in single dashboard. So you will get one view with 40 columns.
A good way to do this is to create groups and filters. I'm sure, out of 40+ columns, a good number of them can be converted to either of the above, giving a neater look to your dashboard, making it easy to comprehend your data.
Let us assume you're creating a dashboard to show the overall split of mobile recharges for a company x.
One of the option is to have multiple columns; each for:
the mobile OS
OS version
service provider
recharge rank
Sub-category (Prepaid / Postpaid)
...
the easier and elegant way to reduce the number of columns is to populate a dropdown list with these values. Not only this will make the dashboard easier to comprehend, it will reduce the number of columns one has to refer to interpret the data and would also reduce the technical limitations imposed on the number of columns.
to create a group in Tableau:
include the fields in the result set i.e. use the column[s] in select statement.
select os, os_version, service_provider, rank, subcategory ... from schema.recharge_table [where...];
In the Sheets view of Tableau, right click on the field to create group. Let's create a split on subcategory.
Group the sub-categories, give them proper alias to be recognised easily.
Drag the Group to filter and you've successfully and elegantly reduced one column.
16 is the maximum limit for row/column labels in tableau table.
Put 20 columns on one sheet and 20 one the other dashabord. Drag and drop both sheets on to your dashbaord, and you should be having 40 columsn.

iPhone UI Design approach - was using Excel Filtering

I'm new to iPhone development and don't know what the best iPhone UI approach for my problem is. That's where I was hoping you all could provide some input and guidance.
Here's the system & how it's currently used:
Right now, I have an Excel spreadsheet of data with four columns - Make, Model, Size, Value. There are about 1,000 rows of data. How the system is used in Excel is to use Filtering on the columns. First, you select the Make from the filtered column (there are about 8 unique Makes), then select a Model (each Make has between 1 and 20 unique Models), then select the Size (each Model has about 20 unique Sizes), then use the associated Value.
If I were to create an HTML page and jQuery with AJAX, I'd have three SELECT elements and one DIV (or some kind of label). When a Make is selected, populate the Models SELECT. Likewise, when a Model is selected, populate the Size SELECT. Finally, when a Size is selected, display the associated Value in the DIV. (Note, that when a Make is selected, I'd need to clear out the Value DIV and the Size SELECT in addition to the population of the Model SELECT. - appropriate action for selecting Size as well)
Now, given that, what do you recommend as a UI pattern for the iPhone?
You could do exactly that you describe for the HTML version, using a UIPickerView in each place where you would use and HTML SELECT. (The UIPickerView uses the "spinning wheel" metaphor to select from a list of values).
You could also use a single multi-component UIPickerView, where the first wheel is Make, the second Model, and the third Size. That works best if the names are short enough that you can fit all three (Make/Model/Size) in a single row on the screen.