I use a database in which each row corresponds to a facility (shops, schools, etc.), one of the columns of the table indicates the geographical code of the city where it is located.
I try to obtain a table where each row corresponds to a city and there is a colony by type of equipment that indicates the number present.
This is exactly what I can get from table by producing a contingency table. EXCEPT that I want to be able to join this result to another table from a common column.
I don't understand what the table object is. I tried to convert it to a table with as.data.frame but the table is modified. I also tried, as read on a previous post, as.data.frame.matrix but it does not work. I think it has to do with the fact that there are too many "columns".
Any ideas?
Thanks in advance!!!
Here my table results and the outcome I would like to get in data.frame :
[![mytableresults][1]][1]
[1]: https://i.stack.imgur.com/6Gs9B.png
Here what appears when I test as.data.frame.matrix
> tableau.test <- as.data.frame.matrix(test)
Erreur dans [.default(x, , i) : nombre de dimensions incorrect
is.matrix(test)
[1] FALSE
Related
enter image description here
I have a table which contains Json file data in each row which gets updated into my snowflake table every weak. I am extracting values from the Json files into another table. When the data is loaded in Json format there are multiple entries of the same ID. So, when I extract values from Json to a table there are duplicate rows. How do I tackle them in order to get the distinct rows only. My select query look something like this:
select
json_data:data[0].attributes."Additional Invoice?":: string as "Additional Invoice?",
json_data:data[0].attributes."Additional PO?":: string as "Additional PO?",
json_data:data[0].attributes."Aggregate Contract Value":: number as "Aggreagate Contract Value" ,
json_data:data[0].attributes."Annualized Baseline Spend" :: number as "Annualized Baseline Spend",
json_data:data[0].id ::number as ID,
json_data:data[0].type::string as TYPE
from scout_projects order by ID
the scout project file screenshot is attached.
The attached Screenshot is the output form the given query and as you could see the ID column is the same but there are only 2 unique rows. I want my query to return only those 2 unique rows.
select distinct json_data:data[0].id :: number as ID from scout_projects
what is the approach should I take?
I tried using subquery, but it gave me error stating "single-row subquery returns more than one row. snowflake error" which is obvious. so, need a way out .
Basically, I have a table called Client Entity that contains an Entity Type column and I have an entity type called BEN. I want to show all records where this particular type does not exist. The issue is that the record itself may not exist if the entity type has not been appointed so I am basically asking the query to show me where no 'rows' exists because of this value...
Basically I'm looking for a code to highlight the absence of data, not NULL values.
Can anyone help ?
If you have a table of "records", then you would use not exists:
select r.*
from records r
where not exists (select 1
from cliententity ce
where ce.record_id = r.record_id and
ce.entity_type = 'BEN'
);
I don't know what your real table or column names are, but this gives the idea on how to approach the problem.
I have the following code:
SELECT S~CLUSTD AS ZZCLUSTD
INTO CORRESPONDING FIELDS OF TABLE #lt_viqmel_iflos
FROM viqmel AS v
LEFT OUTER JOIN stxl AS S
ON s~tdobject = #lv_qmel
AND s~tdname = v~qmnum
Select statement generates following short dump:
Only the prefixed length field can be used to read from the LRAW field or
LCHR field S~CLUSTD.
Internal table lt_viqmel_iflos is type viqmel_iflos(DB view which contains DB table QMEL) to which I appended ZZCLUSTD type char200.
The problem is that I cannot make ZZCLUSTD type LRAW in QMEL because I get the following error:
So my only option (that I am aware of) remains to select into char200 the first 200 characters of LRAW.
Is this even possible?
Or is there another way to select LRAW data?
I found the info about the topic, but unfortunately I can't adapt it to my scenario:read LRAW data
In fact, there are two questions here.
The first one is the activation error of table QMEL:
Field ZZCLUSTD does not have a preceding length field of type INT4
A DDIC table containing a column of type LCHR and LRAW, requires that it's always immediately preceded with a column of type INT2 or INT4 (although the message says only INT4).
The second question is about how to read such a field. Both columns must always be read at the same time, and the INT2/INT4 column must be "read before" the LCHR/LRAW column. The only reference I could find to explain this restriction is in the note 302788 - LCHR/LRAW fields in logical cluster tables.
The INT2 column of STXL table being named CLUSTR, the following code works:
TYPES: BEGIN OF ty_viqmel_iflos,
clustr TYPE stxl-clustr, "INT2
zzclustd TYPE stxl-clustd, "LCHR
END OF ty_viqmel_iflos.
DATA lt_viqmel_iflos TYPE TABLE OF ty_viqmel_iflos.
SELECT S~CLUSTR, S~CLUSTD AS ZZCLUSTD
INTO CORRESPONDING FIELDS OF TABLE #lt_viqmel_iflos
FROM viqmel AS v
INNER JOIN stxl AS S
ON s~tdname = v~qmnum
UP TO 100 ROWS.
NB: there is a confusion in your question, where you refer to both CLUSTD from STXL and ZZCLUSTD from QMEL. I don't understand what you are trying to achieve exactly.
NB: if you want to read the texts from the table STXL, there's another solution by calling the function module READ_TEXT_TABLE, or READ_MULTIPLE_TEXTS if you prefer. They were made available by the note 2261311. In case you don't have or can't install these function modules, you may try this gist which does the same thing. It also contains a reference to another discussion.
NB: for information, to be more precise, LRAW contains bytes, not characters, and for data clusters (case of STXL), these bytes correspond to any values (characters in the case of STXL) zipped with the statement EXPORT and are to be unzipped with IMPORT`.
I have been trying to set up a test database but I keep running into issues with pulling in the data from its normalized form.
Below is the latest version of the SQL query I've been working on.
INSERT INTO TestData.dbo.Info (Name,Did)
SELECT DISTINCT a.Name, b.Did
FROM StageDB.dbo.MockData a INNER JOIN Testdata.dbo.Dinfo b
ON a.Name = CAST(b.Did as varchar(10))
The output I get is the following:
(0 row(s) affected)
I've been trying to monkey around with it on my own but can't seem to make it work the way I want to.
My objective here is to pull data (the primary key from a table with data already in my database, Did from TestData.dbo.Dinfo that is of int type) and merge it with data from my staging table (a particular column from the table in the staging database, StageDB.dbo.MockData, Name of type varchar(10)), then inserting into a new table on my main database. The database table I'm trying to put these things into is all set up with the correct fields and types (primary key column, auto generated as rows are added, Name column that is varchar(10), and Did column that is int).
EDIT: Table Definitions, Sample Data, Desired Result
Destination Table:
TestData.dbo.Info
Columns: Iid (int, primary key of table set to auto increment as new records are added), Name (varchar(10)), Did (int, foreign key from TestData.dbo.Dinfo).
StageDB.dbo.MockData
Columns: Many columns exist in this table that are not relevant to what I am trying to pull off. The only one I am interested in is the column containing names that I want to tie together with information from the Dinfo table. Name (nvarchar(255),null).
TestData.dbo.Dinfo
Columns: Did (int, primary key), Donor (varchar(20)).
Sample of Data
From Dinfo:
Did Donor
01 Howard L
From MockData:
Name
Smith J
Desired Results
Iid Name Did
01 Smith J 01
Any help or advice would be much appreciated. I would really like it if someone can show me the correct SQL syntax for this as I think it may just be a matter of writing it correctly. Additionally, any tips or websites that can help me learn more SQL would be appreciated.
Thank you!
Change this:
ON a.Name = b.Did
To this:
ON a.Name = CAST(b.Did as varchar(10))
I suspect there's a lot more wrong with your query in terms of getting the results you want, but this should fix your error.
You need to figure out where the error is occurring. There are three possibilities:
mockdata.name is a string and NInfo.data is an integer
dinfo.did is a string and NInfo.did is an integer
mockdata.name is a string and dinfo.did is an integer (or vice versa)
Based on the naming conventions, the third is the most likely. When a number is compared to a string, the string is converted to a number. However, you need to be careful whenever you use implicit type conversions.
If the third option, then you can convert the integer to a string (as other answers propose). However, I would ask why you are doing such a comparison.
Error is in ON a.Name = b.Did Name column may contains alphabets,number or special characters. Did column contains only number or integers only.
I have two tables in a PostgreSQL database.
The first table contains an ID and a text field with up to 200 characters and the second table contains a data definition table which has a column that contains smileys or acronyms and a second column which converts them to plain readable English.
The number of records in table 1 is about 1200 and the number in table two is about 300.
I wish to write a SQL statement which will convert any text speak in column 1 in table one into normal readable language based on the definitions in Table 2.
So for example if the value in table 1 reads as: Finally Finished :)
The transformed SQL would be something like: Finally Finished Smiles or smiling,
where the definition is pulled from the second table.
Note the smiley could be anywhere in the text in column one and could one of three hundred characters.
Does anyone know if this is possible?
Yes. Do you want to do it entirely in SQL, or are you writing a brief bit of code to do this? I'm not entirely sure of how to do it all in SQL but I would consider something like what is below:
SELECT row.textToTranslate FROM Table_1
oldText = row.textToTranslate
Split row.textToTranslate by some delimeter
For each word in row.textToTranslate:
queryResult = SELECT FROM Table_2 WHERE pretranslate=word
if(queryResult!=Null)
modifiedText = textToTranslate.replace(word, queryResult)
UPDATE Table_1 SET translatedText=modifiedText WHERE textToTranslate=oldText