Not sure if this is possible but I'm hoping it is. I am using MS Access for Estate Planning for work. I've gotten to the point where I've got the data to look like this:
File_Name
Executor_1
Executor_2
Beneficiary_1
Beneficiary_2
Hill, Hank
Peggy Hill
Peggy Hill
Hill, Hank
Bobby Hill
Bobby Hill
Gribble, Dale
Nancy Gribble
Gribble, Dale
Joseph Gribble
Joseph Gribble
Gribble, Dale
John Redcorn
But I need it to look like this:
File_Name
Executor_1
Executor_2
Beneficiary_1
Beneficiary_2
Hill, Hank
Peggy Hill
Bobby Hill
Peggy Hill
Bobby Hill
Gribble, Dale
Nancy Gribble
Joseph Gribble
Joseph Gribble
John Redcorn
I need it in the latter format so I can use MailMerge in word and create the Will. Can anyone provide any guidance? We don't currently use any software for Est. Planning so anything beats having to go into Word manually and retype everything. Please let me know if more information is needed.
Edit:
This is what the SQL looks like:
TRANSFORM Last(File_Roles.File_Name) AS LastOfFile_Name
SELECT File_Roles.Executor_1,
File_Roles.Executor_2,
File_Roles.Beneficiary_1,
File_Roles.Beneficiary_2,
File_Roles.Trustee_1,
File_Roles.Trustee_2,
File_Roles.Guardian_1,
File_Roles.Guardian_2,
File_Roles.ATTY_IF_1, File_Roles.ATTY_IF_2,
File_Roles.HCATTY_IF_1,
File_Roles.HCATTY_IF_2
FROM File_Roles
GROUP BY File_Roles.Executor_1,
File_Roles.Executor_2,
File_Roles.Beneficiary_1,
File_Roles.Beneficiary_2,
File_Roles.Trustee_1,
File_Roles.Trustee_2,
File_Roles.Guardian_1,
File_Roles.Guardian_2,
File_Roles.ATTY_IF_1,
File_Roles.ATTY_IF_2,
File_Roles.HCATTY_IF_1,
File_Roles.HCATTY_IF_2
PIVOT File_Roles.File_Name;
You can use GROUP BY and MAX()
SELECT
t.File_Name,
MAX(t.Executor_1) As Executor_1,
MAX(t,Executor_2) As Executor_2,
MAX(t.Beneficiary_1) As Beneficiary_1,
MAX(t.Beneficiary_2) As Beneficiary_2
FROM table_or_query t
GROUP BY File_Name
But maybe you can fix your original crosstab query to do this right away. Probably you are doing the grouping wrong. You must group by File_Name in the crosstab query and apply Max to the total row of the value (so it is difficult to say without seeing this query).
GROUP BY File_Name means that one row is created for each distinct value of File_Name.
Since this will merge several rows into one, you must specify an aggregate function for every column in the SELECT list not listed in the GROUP BY clause. This can be e.g. SUM(), AVG(), MIN() or MAX(). See SQL Aggregate Functions for a complete list. Since any Null value is considered to be less than any other value, MAX() will take this non-Null value from the merged rows.
Related
I need to get exact name string match from multiple values using Contains function.
I used below query to get data which matches exactly JOHN SMITH OR MIKE DAVID but query is fetching all data which has JOHN SMITH, JOHN, SMITH, MIKE, DAVID, MIKE DAVID, JOHN..SMITH, JOHN/SMITH,....
where contains(names,'{JOHN SMITH} OR {MIKE DAVID}')>0
Note - I don't want to use multiple like in OR conditions.We need to pass around 200 to 300 values (names) to do match pattern.
Can anyone let me know how to get exact match from multiple values using CONTAINS?
Thanks
Anand
I don't use Oracle but i liked this question and i will try to answer it based on what i read on Oracle's documentation, regarding CONTAINS.
so i am currently reading about Stored Query Expression (SQE),
Stored Query Expression (SQE)
Use the SQE operator to call a stored query expression created with
the CTX_QUERY.STORE_SQE procedure.
Stored query expressions can be used for creating predefined bins for
organizing and categorizing documents or to perform iterative queries,
in which an initial query is refined using one or more additional
queries.
So perhaps you could pass all the names you want to query in such a way. For example:
begin
ctx_query.store_sqe('mynames', 'JOHN SMITH OR MIKE DAVID OR GEORGE HARRIS OR JOHN DOE');
end;
And then call it:
SELECT SCORE(1), nameid FROM mytable
WHERE CONTAINS(names, 'sqe(mynames)', 1)> 0
ORDER BY SCORE(1);
Hope this was helpful.
I have converted a sql query written by an other senoir developer who also is the group lead and I am new to programming. He wrote a query that was reading a collection of rows from DB by sending array of parameters, For example:
SELECT [LastName],[FirstMidName],[EnrollmentDate]
FROM [ContosoUniversity1].[dbo].[Student]
WHERE ([LastName] ='Alexander' AND [FirstMidName] = 'Carson')
OR ([LastName] ='Justice' AND [FirstMidName] = 'Peggy')
However, I was given an assignment to improve the security of the query. I did some changes to apply sqlParameter() to the query. The query was written as:
SELECT [LastName],[FirstMidName],[EnrollmentDate]
FROM [ContosoUniversity1].[dbo].[Student]
WHERE [LastName] IN ('Alexander','Justice')
AND [FirstMidName] IN ('Carson','Peggy')
So basically its follows the where.. in clause that I can further do my other tasks. And these two lines give the same result but he insisted that mine was logically bad. I have very hard time to understand his explanation and self-doubt that if I am doing wrong to convert this query. Could anyone share any opinion?
The first query will only bring in an exact grouping of names. Imagine if someone else went to the school called Carson Justice. Your query would bring him in, the seniors query would not.
I.e.
FirstMidName | LastName
Alexander | Carson
Peggy | Justice
Peggy | Carson
Alexander | Justice
Seniors query would return Alexander Carson, Peggy Justice
Your query would return all 4 names (Alexander Carson, Peggy Justice, Peggy Carson, Alexander Justice)
Yours is logically wrong because it will bring in Peggy Alexander. The first query won't bring her in. And that doesn't seem like the intent of the exercise.
I'm trying to do some transformations on a large data set that I'm working on and was hoping for a bit of assistance on a particular grouping. I have a series of records that follow a pattern similar to below:
Language Full Name Customer ID
--------------------------------------
English John Smith 12222
French John Smith 12222
Spanish John Smith 12222
English Karen Wong 55999
Cantonese Karen Wong 55999
I need the data such that the Full Name and Customer ID are not repeated so simply using DISTINCT for that. However, one oddity in the requirement is that all the different languages need to be preserved and squashed into the resulting output so the resulting data needs to look like this:
Languages Spoken Full Name Customer ID
----------------------------------------------------
English, French, Spanish John Smith 12222
English, Cantonese Karen Wong 55999
Sounded like a simple thing but I guess I'm not a big SQL guru and keep getting funny results. Any help would be much appreciated :)
If you're using SQL Server 2017 or Azure SQL than you can just use STRING_AGG
https://learn.microsoft.com/en-us/sql/t-sql/functions/string-agg-transact-sql?view=sql-server-2017
For everything else (covers solutions from SQL Server 2005 and on):
Simulating group_concat MySQL function in Microsoft SQL Server 2005?
I have a spreadsheet for payroll that is populated from a seperate spreadsheet. Occasionally,one of our workers will get a promotion. That promotion shows on the timesheets: ex. Smith, Adam Position becomes Smith, Adam Promotion.
This data is then populated into a pivot table where Smith, Adam Position and Smith, Adam Promotion show in separate cells. Currently, we are manually adding the two data sets so that payroll gets a single number instead of multiple. I would like to simplify this tasks. I am using excel 2003, so some more advanced functions don't work.
Any suggestions and help would be greatly appreciated. Thanks in advance.
Ideally, you'd use a different field (a unique identifier) to identify Smith, Adam (e.g., an employee ID number), but if that's not available, then you could take the following approach:
(Suppose that "Smith, Adam Position" is in A1.)
You could add an additional column that extracts the last name, the comma, and then whatever the next word is. For example, from
Smith, Adam Analyst
you would get Smith, Adam. Unfortunately, this means that If you have something like
Jones, Mary Ellen Consultant
you would end up with Jones, Mary. If you think you can live with that, this solution could work. The way you would extract that would be with the following formula:
=SUBSTITUTE(LEFT(SUBSTITUTE(A1,", ",",",1),FIND(" ",A1)-1),",",", ",1)
And then build your pivot table on that field.
I'm trying to find a way to search a text field to identify rows that could be similar so I can identify if they are duplicates that should be merged. For example if my data looks like this:
MyText_Column
Bob
Bobby
Robert
Jane
Janey
Janie
Joe
John
Johnathan
A GROUP BY won't work because none of the values are exactly the same, but if I could have a query that would return a list of the likelihood that one row is similar would be great. Maybe there's a better layout but what I am imagining is a result like this:
Query Result
Search Compare Likely_Match
Bob Bobby 96%
Bob Robert 12%
Bob Jane 0%
Bob Janey 0%
.....
Jane Janey 87%
Jane Janie 69%
Jane Joe 12%
Then with result like that I could sort by likelihood and and visually scan to determine if the results are duplicates or not.
The UTL_MATCH package has a couple of methods to do that-- my guess is that you would want to use the Jaro-Winkler similarity algorithm. Something like
SELECT a.mytext_column search,
b.mytext_column compare,
utl_match.jaro_winkler_similarity( a.mytext_column, b.mytext_column ) similarity
FROM table_name a,
table_name b
WHERE a.<<primary key>> != b.<<primary key>>
ORDER BY utl_match.jaro_winkler_similarity( a.mytext_column, b.mytext_column ) desc
That will generate a result set of N * (N-1) rows which may be unwieldy depending on the number of rows in the original data set. You may want to restrict things by only returning the best matches for a particular search term or only returning the rows that have a similarity score greater than some threshold.
You could also use the SOUNDEX function.