select m.code ms.translation ms.lastupdatedby ms.lastupdateddate from message m message-translation ms where ms.message [closed] - jpa

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#NamedQueries({
#NamedQuery(name=Message.QUERY_GET_LEC_MESSAGE, query="SELECT m.message_id, m.code ,ms.translation , m.lastupdated_by , m.lastupdated_date FROM Message ms JOIN MessageTranslation m ON ms.message_id=m.message_id")})
The above query I am getting an error while deploying to JBOSS. Please say me what would be the right way for the above-NAMED Query.

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Function to calculate number of days [closed]

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Data and Question
Select firstname, lastname, h1.date as admission, h2.date as discharge,
DATE_PART('day', h2.date - h1.date) as totaldays from Participant p
join Hospital h1 on p.health_id = h1.health_id
and h1.transaction = 'Admission'
join Hospital h2 on p.health_id = h2.health_id
and h2.transaction = 'Discharge';
That's my code, but it's not giving me any result. The above code is for part two of the below question.
I want to find the number of days the participant spent in hospital over the period 2018-2019.

What is the solution for 'For fetch only' in postgresql? [closed]

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I have one query in DB2 which use 'for fetch only' but I need to convert it into postgresql. What can we use it for that?
You don't need that in PostgreSQL. In PostgreSQL, any cursor can be used for a positioned UPDATE or DELETE.
Just omit the clause in PostgreSQL.

how to check is string contains substring? [closed]

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I have a table with field name out of type text
I want to get the rows which contains sub string "hello and good morning"
I have tried to write:
select *
from my_table
where out like 'hello and good morning%'
but it seems not working.
How can I get all the rows which contains sub string ?
According to given details, this should work.
select * from my_table where LOWER(out) like LOWER('%hello and good morning%')
Here is the fiddle.

write a pyspark sql code that will execute an action if rowcount of dataframe = 0 else does nothing [closed]

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I am a newbie to pyspark sql and would like to execute a query as follows
df1.count()
df2 = spark.sql("if df1.count()= 0
then execute action
else
do nothing")
I was going about this the wrong way ...figured out how :
If df1.count() = 0
df2 = spark.sql(" SELECT ......")

Postgres: how can I subtract value at one query? [closed]

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I think I can only get value, subtract value (at Java) and update value. Is it possible to subtract value at cell at one query?
Yes, but you got the syntax a bit wrong:
UPDATE table SET number_of_people = number_of_people - 3 WHERE id = 487364
This assumes that number_of_people is an integer value.