Below is the table[pic attached] , I have to partition Formattedmessage column into multiple columns like containerid, operationname, corelationid and productversion etc..
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you could use the parse operator for that: https://learn.microsoft.com/en-us/azure/kusto/query/parseoperator
if you need help with writing a full solution, please provide a sample input as text (e.g. print myValue = 'replace with a sample input')
Related
Hello I am very new to Teradata Assistant. I wish to make a data dictionary of columns from views in Teradata. So far what I've been able to do is click on Tools > List Columns, then enter the database and view name. The output is what I am looking for. However there are hundreds and views, and this method seems tedious. Is there a way where I can collect the output of all the columns for all of the views?
That output from tools>>list columns looks like the output from HELP databasename.tablename.
You could write some sql to generate the HELP statements and then execute the output:
SELECT 'HELP ' || TRIM(databasename) || '.' || TRIM(tablename) FROM dbc.tablesv WHERE databasename = 'YOURDATABASE' AND tablekind = 'V';
use help column db.tb.*
using insignificance character for match 30 char limit
I have a data that is having some thousands of records and each record having multiple columns.One of the column is having a data where there is a punctuation mark "," in it.
When I had tried to spool that data into a csv file and text to columns data using the delimters as comma,the data seems to be inappropriate as the data itself has a comma in it.
I am looking for a solution where I can export the data using a command line which is having as it is look when I export the data via TOAD.
Any help is much appreciated.
Note: I was looking for this solution since many days but got a chance now to post it here.
When exporting the dataset in Toad, select a delimiter other than a comma or drop down the "string quoting" dropdown box and select "double quote strings including NULLS".
Oh wait if you are spooling output, you'll need to add the double-quotes in your select statement like this in order to surround the columns containing the comma with double-quotes:
select '"' || column || '"' as column from table;
This format is pretty standard but use pipes as delimiters instead and save space by not having to wrap strings in double-quotes. Depends on what the consumer of the data requires really.
I need to use cast function with length of column in teradata.
say I have a table with following data ,
id | name
1|dhawal
2|bhaskar
I need to use cast operation something like
select cast(name as CHAR(<length of column>) from table
how can i do that?
thanks
Dhawal
You have to find the length by looking at the table definition - either manually (show table) or by writing dynamic SQL that queries dbc.ColumnsV.
update
You can find the maximum length of the actual data using
select max(length(cast(... as varchar(<large enough value>))) from TABLE
But if this is for FastExport I think casting as varchar(large-enough-value) and postprocessing to remove the 2-byte length info FastExport includes is a better solution (since exporting a CHAR() will results in a fixed-length output file with lots of spaces in it).
You may know this already, but just in case: Teradata usually recommends switching to TPT instead of the legacy fexp.
I am attempting to add a dynamic column to a table in spotfire that is updated using r-script/data functions in order to handle different variable types. When you just insert columns, it does not allow you to change the column from a text value to a string value.
The basic code structure is create a new table by merging the base table with the information table, select a column header to populate the new column from, and return the calculated column values to the base table. Parameters are as follows:
Input Parameters:
Name Type
columnMatch Value
baseTable Table
infoTable Table
Output Parameters (to be added to baseTable)
Name Type
outputColumn Column
Script
newTable <- merge(baseTable,infoTable, by = "uniqueIdentifier")
cnames <- colnames(newTable)
outputColumn <- newTable[,match(colorSelection, cnames, nomatch=1)]
outputColumn
The issue thatI am having is as follows:
The code is not returning the correct value for the correct uniqueIdentifier. Is there a way that I can make the values line up, or sort the table in order to return the correct value for the correct uniqueIdentifier?
Thanks!
Jordan
EDIT: found out how to dynamically refer to column number using match function.
I am using iReport 4.7.
I want print amount in words.
For Example:
Assume Text field contains 1000 and i want print like "One Thousand".
Is anyone tell the steps to solve it?
Process your datasource before passing it to the report.
Using ibm's ICU4J you can convert amount into words by doing something like
double num = 2718;
RuleBasedNumberFormat formatter = new RuleBasedNumberFormat(Locale.ENGLISH, RuleBasedNumberFormat.SPELLOUT);
String result = formatter.format(num);
System.out.println(result);
Will print
two thousand seven hundred eighteen
If you are using Oracle database then try this:
SELECT TO_CHAR(TO_DATE($P{ParamName}, 'J'), 'Jsp')
FROM dual
This spells out whatever number you pass through $P{ParamName}. You can use this select clause in your main query's SELECT clause and use it.