I have 2 tables:
1st table has columns:
Id, object, object_piece1, object_piece2, object_piece3
table wood leg bolt
lamp stand bolt lightbulb
door wood bolt
2nd table has columns:
id, piece_name
bolt
wood
leg
lightbulb
I am trying to use the 2nd table as a list of pieces I have and the 1st table as what i can make.
But my SQL clause is not functioning like I would expect:
I have
SELECT
[DBOne].object, [DBOne].object_piece1, [DBOne].object_piece2,
[DBOne].object_piece3
FROM
DBOne, DBTwo
WHERE
[DBOne].object_piece1 = [DBTwo].piece_name
AND [DBOne].object_piece2 = [DBTwo].piece_name
AND [DBOne].object_piece3 = [DBTwo].piece_name;
When I run it, I get no records back. Can you help point out where I am going wrong?
Related
I need to flatten a table with 2 repeated struct columns in BigQuery. Below is an example:
Column person has type of a repeated struct with fields name and occupation, show is also a repeated struct with fields title and time, so example #1 displays a single row from that table.
person.name
person.occupation
show.title
show.time
John Cena
Wrestler
Raw
Monday Night
Steve Austin
Wrestler
SmackDown
Friday Night
Vince McMahon
Chairman
What I need to do is to flatten column show in a way that every element from that column becomes a row, but also that row would be enriched by all entries from column person as individual columns. Example #2 demonstrates what I mean:
John Cena
Steve Austin
Vince McMahon
title
time
Wrestler
Wrestler
Chairman
Raw
Monday Night
Wrestler
Wrestler
Chairman
SmackDown
Friday Night
I was able to write a query to flatten show column, but I can't quite figure out how to also transpose column person and add it to output. This is what I currently have:
SELECT * EXCEPT (structuredShow),
structuredShow.*
FROM (SELECT * EXCEPT (show),
(SELECT AS STRUCT *
FROM UNNEST(show)) AS structuredShow
FROM `project.dataset.table`);
Could someone please take a look and see whether what I need is even possible with StandardSQL? Thanks!
If I understand correctly:
SELECT p.* (EXCEPT show), s.*
FROM `project.dataset.table` t CROSS JOIN
UNNEST(t.person) p CROSS JOIN
UNNEST(p.show) s
So I'm trying to match entries in two databases so in the new table the row is comprised of two words that end in the same ending letter. I'm working with two tables that have one column in each of them, each named word. table 1 contains the following data in order: Dog, High, It, Weeks, while table two contains the data: Bat, Is, Laugh, Sing. I need to select from both of these tables and match the words so that each row is as follows: Dog | Sing, High | Laugh, It | Bat, Weeks | Is
The screenshot is what I have so far for my SQL statement. I'm still early on in learning SQL so any info to help on this would be appreciated.
Recommend reading up on SUBSTR() for more information on why the below code works: https://docs.oracle.com/cd/B28359_01/olap.111/b28126/dml_functions_2101.htm#OLADM679
SELECT
a.word
, b.word
FROM sec1313_words1 a
JOIN sec1313_words2 b
ON SUBSTR(b.word, -1) = SUBSTR(a.word, -1)
ORDER BY a.word
Let's say we have two tables. The first table has following description:
animal_count: {zoo_name:chararray, counts:()}
The meaning of "zoo_name" fields is obvious. "counts" fields contains counts of each specific animal species. In order to know what exact species a given field in "counts" tuple represents, we use another table:
species_position : {species:chararray, position:int}
Let assume we have following data in "species_position" table:
"tiger", 0
"elephant", 1
"lion", 2
This data means the first field in animal_count.counts is the number of tigers in a given zoo. The second field in that tuple is the number of elephants, and so on. So, if we want to represent that fact that "san diego zoo" has 2 tigers, 4 elephants and no lion, we will have following data in "animal_count" table:
"san diego zoo", (2, 4, 0)
Given this setup, how can I write a query to extract the number of a given species in all zoos? I was hoping for something like:
FOREACH species_position GENERATE species, animal_count.counts.$position;
Of course, the "animal_count.counts.$position" won't work.
Is this possible without resorting to UDF?
I'm not sure this is possible but my manager wants me to do it...
Using the below picture as a reference, is it possible to retrieve a group of records, where each record has 2 rows of columns?
So columns: Number, Incident Number, Vendor Number, Customer Name, Customer Location, Status, Opened and Updated would be part of the first row and column: Work Notes would be a new row that spans the width of the report. Each record would have two rows. Is this possible with a GROUP BY statement?
Record 1
Row 1 = Number, Incident Number, Vendor Number, Customer Name, Customer Location, Status, Opened and Updated
Row 2 = Work Notes
Record 2
Row 1 = Number, Incident Number, Vendor Number, Customer Name, Customer Location, Status, Opened and Updated
Row 2 = Work Notes
Record n
...
I don't think that possible with the built in report engine. You'll need to export the data and format it using something else.
You could have something similar to what you want on short description (list report, group by short description), but you can't group by work notes so that's out.
One thing to note is that the work_notes field is not actually a field on the table, the work_notes field is of type journal_input, which means it's really just a gateway to the actual underlying data model. "Modifying" work_notes actually just inserts into sys_journal_field.
sys_journal_field is the table which stores the work notes you're looking for. Given a sys_id of an incident record, this URL will give you all journal field entries for that particular record:
/sys_journal_field_list.do?sysparm_query=name=task^element_id=<YOUR_SYS_ID>
You will notice this includes ALL journal fields (comments + work_notes + anything else), so if you just wanted work notes, you could simply add a query against element thusly:
/sys_journal_field_list.do?sysparm_query=name=task^element=work_notes^element_id=<YOUR_SYS_ID>
What this means for you!
While you can't separate a physical row into multiple logical rows in the UI, in the case of journal fields you can join your target table against the sys_journal_field table using a Database View. This deviates from your goal in that you wouldn't get a single row for all work notes, but rather an additional row for each matched work note.
Given an incident INC123 with 3 work notes, your report against the Database View would look kind of like this:
Row 1: INT123 | markmilly | This is a test incident |
Row 2: INT123 | | | Work note #1
Row 3: INT123 | | | Work note #2
Row 4: INT123 | | | Work note #3
I have a question about updating multiple rows with different values in MS Access 2010.
Table 1: Food
ID | Favourite Food
1 | Apple
2 | Orange
3 | Pear
Table 2: New
ID | Favourite Food
1 | Watermelon
3 | Cherries
Right now, it looks deceptively simple to execute them separately (because this is just an example). But how would I execute a whole lot of them at the same time if I had, say, 500 rows to update out of 1000 records.
So what I want to do is to update the "Food" table based on the new values from the "New" table.
Would appreciate if anyone could give me some direction / syntax so that I can test it out on MS Access 2010. If this requires VBA, do provide some samples of how I should carry this out programmatically, not manually statement-by-statement.
Thank you!
ADDENDUM (REAL DATA)
Table: Competitors
Columns: CompetitorNo (PK), FirstName, LastName, Score, Ranking
query: FinalScore
Columns: CompetitorNo, Score, Ranking
Note - this query is a query of another query, which in turn, is a query of another query (could there be a potential problem here? There are at least 4 queries before this FinalScore query is derived. Should I post them?)
In the competitors table, all the columns except "Score" and "Ranking" are filled. We would need to take the values from the FinalScore query and insert them into the relevant competitor columns.
Addendum (Brief Explanation of Query)
Table: Competitors
Columns: CompetitorNo (PK), FirstName, LastName, Score, Ranking
Sample Data: AX1234, Simpson, Danny, <blank initially>, <blank initially>
Table: CompetitionRecord
Columns: EventNo (PK composite), CompetitorNo (PK composite), Timing, Bonus
Sample Data1: E01, AX1234, 14.4, 1
Sample Data2: E01, AB1938, 12.5, 0
Sample Data3: E01, BB1919, 13.0, 2
Event No specifies unique event ID
Timing measures the time taken to run 200 metres. The lesser, the better.
Bonus can be given in 3 values (0 - Disqualified, 1 - Normal, 2 - Exceptional). Competitors with Exceptional are given bonus points (5% off their timing).
Query: FinalScore
Columns: CompetitorNo (PK), Score, Ranking
Score is calculated by wins. For example, in the above event (E01), there are three competitors. The winner of the event is BB1919. Winners get 1 point. Losers don't get any points. Those that are disqualified do not receive any points as well.
This query lists the competitors and their cumulative scores (from a list of many events - E01, E02, E03 etc.) and calculates their ranking in the ranking column everytime the query is executed. (For example, a person who wins the most 200m events would be at the top of this list).
Now, I am required to update the Competitors table with this information. The query is rather complex - with all the grouping, summations, rankings and whatnots. Thus, I had to create multiple queries to achieve the end result.
How about:
UPDATE Food
INNER JOIN [New]
ON Food.ID=New.ID
SET Food.[Favourite Food] = New.[Favourite Food]