I got a table with a huge list of equipment booking details. I wrote a SQL Query to display the desired result that I wanted: A type of the equipment with time overlapping of booking.
So I check for the time overlapping by duplicating my table in order for it to check against each other.
The result I gotten are kind of repetitive?
For instance,
May CLASHES Claire
May CLASHES Sherene
Claire CLASHES May
Claire CLASHES Sherene
Sherene CLASHES May
Those in bold are repetitive.
How can I modify my SQL query in order to resolve the issue?
Please kindly advise. Thank you!
SELECT DISTINCT *
FROM 2015, 2015 AS 2015_1
WHERE ([2015].Equipment Like '*Video cam*' Or [2015].Equipment Like '*video recorder*' Or [2015].Equipment Like '*camcorder*')
AND ([2015_1].Equipment Like '*Video cam*' Or [2015_1].Equipment Like '*video recorder*' Or [2015_1].Equipment Like '*camcorder*')
AND ([2015].[Loaned By]<>[2015_1].[Loaned By])
AND ([2015_1].[Start Time]<=[2015].[End Time])
AND ([2015_1].[End Time] Is Null Or [2015_1].[End Time]>=[2015].[Start Time]);
EDIT
My table is called 2015.
The variables are (Field Name - Data Type):
ID - Number
Loaned By - Text
Equipment - Text
Start Date - Date/Time
Start Time - Date/Time
End Date - Date/Time
End Time - Date/Time
Durations (hours) - Number
You can add the following condition:
[2015].EquipmentType < [2015_1].EquipmentType
This will order them alphabetically.
Your question doesn't have enough information to clearly specify the column.
Related
I'm dealing with a table containing records from questionnaires administered to people after completing an activity. There are several questions on the questionnaire, so each person has multiple records with the same collection date, like so.
PersonID Question Result CollectedDate
-------------------------------------------------------------
1001 First activity? Yes 10/23/2022
1001 Activity date 10/20/2022 10/23/2022
1001 Activity type Painting 10/23/2022
1002 First activity? No 10/24/2022
1002 Activity date 10/23/2022 10/24/2022
1002 Activity type Writing 10/24/2022
Since my end goal is to compare the activity date with the questionnaire collection date and see how much time elapsed between them, I've altered my query a bit so I'm focusing only on each person's question regarding the activity date. It's a super simple query:
SELECT
PersonID,
Question,
Result,
CollectedDate
FROM Questionnaire
WHERE Question LIKE '%date%'
PersonID Question Result CollectedDate
-------------------------------------------------------------
1001 Activity date 10/20/2022 10/23/2022
1002 Activity date 10/23/2022 10/24/2022
My main issue is that the Result field is varchar(50) in order to accommodate text answers, so any dates seen there are actually from free text fields in the front-end interface. I've tried using both CAST() and CONVERT() to turn it into an actual date format so the difference between the dates can be calculated. I've seen both of the following errors depending on which function I'm using or which date/time style I'm attempting to apply:
Conversion failed when converting date and/or time from character string
The conversion of a varchar data type to a datetime data type resulted in an out-of-range value
I've tried:
SELECT
PersonID,
Question,
CAST(Result as date),
CollectedDate
FROM Questionnaire
WHERE Question LIKE '%date%'
and...
SELECT
PersonID,
Question,
CONVERT(DATETIME,Result,101) as Result,
CollectedDate
FROM Questionnaire
WHERE Question LIKE '%date%'
...and have tried several different styles. Does anyone have any further suggestions? Is the date itself likely the problem, or is if the fact that the Result field contains a bunch of other stuff too, even though it's currently omitted from the query results?
UPDATE: There are some kind of wonky date formats in this Result field even when I have the other question types filtered out (I hate free text). For example, there are some formatted like 05/01/2022 and others like 5/1/2022. Some others have something like 5/19/2022 - 5/20/2022, like maybe the person couldn't remember the exact date of their activity. What's the best way to deal with all of this?
You should be able to get past the error by making sure you reject any value that can't be converted to a date. Largely, that is this:
Result = CASE
WHEN ISDATE(Result) = 1 THEN CONVERT(date, Result, 101) END
You'd think it would be enough to say WHERE Question = 'Activity Date' AND ISDATE(Result) = 1, but:
Someone still might have entered bad data on that row.
SQL Server might try to perform the CONVERT() operation before the filter.
You can identify the ones that have bad data using:
WHERE Question = 'Activity Date' AND ISDATE(Result) = 0
But until you've fixed the structure and stored dates in an independent column, fixing that data just means it's a matter of time before it happens again.
You might consider, in the meantime, just displaying what the user entered as a string, instead of trying to force it to be converted to a date. Especially since 101 might be a bad guess - what if the user is from the UK or Canada? They may have entered 05/12 and meant December 5th, not May 12th.
I have the following table in SQL:
Start - End - Amount **per day**
06.07.2020 10.07.2020 10
08.07.2020 08.07.2020 5
08.07.2020 15.07.2020 20
02.07.2020 06.07.2020 3
Now I want to filter this table by the calendar week. Let's say "where [calendar week] = cw28". cw28 is from the 06th of july to the 12th of july.
With that I'd like to have the sum of the amount of the days that lie between those two dates. One single number.
I'm using MS SQL Server (SQL Express).
I can't figure out how to distinguish (and break down) if one day lays between the two date values or not. And if yes how much I need to sum up.
I tried to make a picture in excel to create a logic from this:
"Logic" in Excel
Can anyone help me with this? :)
Thx and Best!,
Max
Not sure about your exact requirement. But below is the query to get the sum of values between two dates.
select sum(amount_of_days) from table where date_column between '06-JUL-2020' and '07-JUL-2010';
Change the column name and table name according to your requirement
So I have a table with the birth dates and I need to average the people's age. How do I do that? I know I have to use months_between(). Thank you in advance!
Why do you think you need months_between? You don't (unless you have a very specific and unusual definition of "average age").
Over a long enough period (like 40+ years, say), a person's age in years can be calculated (within a narrow approximation window) as the age in days, divided by 365.25. The age in days is simply a difference between two dates, SYSDATE and DATE_OF_BIRTH or BORN. The first one is provided by the system and the second is in your table. Assuming, that is, that you want age as of today; otherwise change SYSDATE to whatever "as-of" (fixed) date you want to use.
So, something like
select [some columns here], AVG(SYSDATE - BORN)/365.25 as avg_age
from your_table
Not clear why you would select max(born) from dual; surely you didn't call your table dual? Nor did you change the standard dual table to add your own data to it?
When people ask you what datatype you use for born in your tables, what you see on the screen when you query for it is not sufficient; the screen will show a string (it's the only thing a screen shows) and doesn't necessarily reflect what's in the database. To get the proper answer, run DESCRIBE table_name; that will show all the columns in table_name and their datatype. Note that DESCRIBE table_name is a SQL*Plus command (understood by Toad and SQL Developer - whatever you use to communicate with the database), so it doesn't need a ; or a / at the end. Just type it at the prompt and hit ENTER.
Good luck!
I am querying an Oracle 11.2 instance to build a small data mart that includes extracting the date of birth and date of death of people.
Unfortunately the INSERT query (which takes its data from a SELECT) fails due to ORA-01847 (day of month must be between 1 and last day of month).
To find my bad dates I first did:
SELECT extract(day FROM SOME_DT_TM),
extract(month FROM SOME_DT_TM),
COUNT(*)
FROM PERSON
GROUP BY extract(day FROM SOME_DT_TM), extract(month FROM SOME_DT_TM)
ORDER BY COUNT(*) DESC;
It gave me 367 rows, one for each day of the year including NULL and February-29th (leap year). True for the other date column as well, so it looks like the data is fine from a SELECT perspective.
However if I set logging up on my insert
create table registry_new_dates
(some_dob date, some_death_date date);
exec dbms_errlog.create_error_log('SOME_NEW_DATES');
And then run my long insert query:
SELECT some_dob,some_death_date,ora_err_mesg$ FROM ERR$_SOME_NEW_DATES;
I get the following weird results (first 3 rows shown) which makes me think that zip codes have been somehow inserted instead of dates for the 2nd column.
31-DEC-25 35244 "ORA-01847: day of month must be between 1 and last day of month"
13-DEC-33 35244-3402 "ORA-01847: day of month must be between 1 and last day of month"
23-JUN-58 35235 "ORA-01847: day of month must be between 1 and last day of month"
My question is - how do I detect these bad rows (there are 11 apparentlyh) with an SQL statement so I can fix or remove them. Fixing them in the originating table is not an option (no write privileges). I tried using queries like this:
SELECT DECEASED_DT_TM
FROM WH_CLN_PERSON
WHERE DECEASED_DT_TM LIKE '35%'
AND rownum<3;
But it did not find the offending rows.
Not sure if you are still actively researching this (or if you got an answer already).
To find the rows with the bad data, can't you instead select the DOB and the date of death, and express the WHERE clause in terms of DOB - like so:
...WHERE some_dob = to_date('31-DEC-25')
? After you find those rows, you may want to do another query on just one or two of those rows, including a calculated column: dump(date of death). Then post that. We can learn a lot from the dump - the internal representation of the so-called "date" (which may very well be a ZIP code instead). With that in hand we may be able to figure out what's stored, and how to hunt for it.
Long title, easy meaning:
How is it possible to extract from a date like "2014-04-04 10:47:30.000", which is stored in one column, it's components like year, month and day?
I'm not interested in the time.
For example, I have a table called "Incidents". Inside the table we got a column called "IncidentID" and a column called "ReportingDate", in which dates like the above-mentionend are stored. Let's say we have about 50k Incidents, therefore we have also 50k dates.
A year has 365 days. I want to query for the count of the Incidents, which were reported on different dates - for instance on the 5th of October 2013.
So: How can I get the components of the date and put them into another table while having own columns for the components and how can I query for the Incidents as well?
I guess at first I have to change the datatype of the date from DATETIME to DATE, but I'm not quite sure how to go further. May anyone help me while giving me a code and explains me what it does for a sql-noob? :-)
To achieve this
I want to query for the count of the Incidents, which were reported on
different dates - for instance on the 5th of October 2013.
you haven't do this:
I guess at first I have to change the datatype of the date from
DATETIME to DATE, but I'm not quite sure how to go further.
Just query
SELECT
IncidentID
FROM incidents
WHERE ReportingDate >= '20131005'
AND ReportingDate < '20131006'