SQL Server : MERGE statement, compare with select data instead of table data - node.js

merge into item_set TARGET
using (select '545934' as product_id_01, 4 as set_sort_no, 15 as article_id,
'Note for this item set' as note, 0 as is_deleted) as SOURCE
on TARGET.set_sort_no = SOURCE.set_sort_no and TARGET.product_id_01 = SOURCE.product_id_01
WHEN MATCHED THEN
UPDATE
SET TARGET.article_id = SOURCE.article_id,
TARGET.note = SOURCE.note,
TARGET.is_deleted = SOURCE.is_deleted,
TARGET.version = TARGET.version
WHEN NOT MATCHED THEN
INSERT (product_id_01, set_sort_no, article_id, note, is_deleted, version)
VALUES (SOURCE.product_id_01, SOURCE.set_sort_no, SOURCE.article_id, SOURCE.note, SOURCE.is_deleted, 3);
I have a query as shown above, I would like to know if it is possible to use multiple values(array of values) instead of the below statement from the query without using a table
(select
'545934' as product_id_01,
4 as set_sort_no, 15 as article_id,
'Note for this item set' as note, 0 as is_deleted) as SOURCE
Thanks in advance.

No.MS SQL Server was not designed to support arrays

Related

ATHENA/PRESTO complex query with multiple unnested tables

i have i would like to create a join over several tables.
table login : I would like to retrieve all the data from login
table logging : calculating the Nb_of_sessions for each db & for each a specific event type by user
table meeting : calculating the Nb_of_meetings for each db & for each user
table live : calculating the Nb_of_live for each db & for each user
I have those queries with the right results :
SELECT db.id,_id as userid,firstname,lastname
FROM "logins"."login",
UNNEST(dbs) AS a1 (db)
SELECT dbid,userid,count(distinct(sessionid)) as no_of_visits,
array_join(array_agg(value.from_url),',') as from_url
FROM "loggings"."logging"
where event='url_event'
group by db.id,userid;
SELECT dbid,userid AS userid,count(*) as nb_interviews,
array_join(array_agg(interviewer),',') as interviewer
FROM "meetings"."meeting"
group by dbid,userid;
SELECT dbid,r1.user._id AS userid,count(_id) as nb_chat
FROM "lives"."live",
UNNEST(users) AS r1 (user)
group by dbid,r1.user._id;
But when i begin to try put it all together, it seems i retrieve bad data (i have only on db retrieved) and it seems not efficient.
select a1.db.id,a._id as userid,a.firstname,a.lastname,count(rl._id) as nb_chat
FROM
"logins"."login" a,
"loggings"."logging" b,
"meetings"."meeting" c,
"lives"."live" d,
UNNEST(dbs) AS a1 (db),
UNNEST(users) AS r1 (user)
where a._id = b.userid AND a._id = c.userid AND a._id = r1.user._id
group by 1,2,3,4
Do you have an idea ?
Regards.
The easiest way is to work with with to structure the subquery and then reference them.
with parameter reference:
You can use WITH to flatten nested queries, or to simplify subqueries.
The WITH clause precedes the SELECT list in a query and defines one or
more subqueries for use within the SELECT query.
Each subquery defines a temporary table, similar to a view definition,
which you can reference in the FROM clause. The tables are used only
when the query runs.
Since you already have working sub queries, the following should work:
with logins as
(
SELECT db.id,_id as userid,firstname,lastname
FROM "logins"."login",
UNNEST(dbs) AS a1 (db)
)
,visits as
(
SELECT dbid,userid,count(distinct(sessionid)) as no_of_visits,
array_join(array_agg(value.from_url),',') as from_url
FROM "loggings"."logging"
where event='url_event'
group by db.id,userid
)
,meetings as
(
SELECT dbid,userid AS userid,count(*) as nb_interviews,
array_join(array_agg(interviewer),',') as interviewer
FROM "meetings"."meeting"
group by dbid,userid
)
,chats as
(
SELECT dbid,r1.user._id AS userid,count(_id) as nb_chat
FROM "lives"."live",
UNNEST(users) AS r1 (user)
group by dbid,r1.user._id
)
select *
from logins l
left join visits v
on l.dbid = v.dbid
and l.userid = v.userid
left join meetings m
on l.dbid = m.dbid
and l.userid = m.userid
left join chats c
on l.dbid = c.dbid
and l.userid = c.userid;

How to Update oracle table using Python passing arguments

I need to pass 2 arguments to my update statement.
I first get the distinct ID's from TBL1 into a List as below. This works fine
unit_no=[]
sql = """SELECT DISTINCT(ID) FROM TBL1"""
tmp_cursor=self.DB_conn.cursor()
for rec in tmp_cursor.execute(self.orcl_query1)
unit_no.append(rec)
Then, I get a values from another table using the above result. This also is working fine.
while i < len(unit_no):
sql = 'SELECT COL1 FROM TBL2 WHERE ID = :1)
tmp_cursor1=self.DB_conn.cursor()
tmp_cursor1.execute(sql,unit_no[i])
for result in tmp_cursor1
input1=result
sql = """update tbl1 set col1 = :1 where id = :2"""
tmp_cursor2=self.DB_conn.cursor()
tmp_cursor2.execute(sQL,col1, unit_no[i])
I am getting error - function takes at most 2 arguments (3 given), for the above line.
How do I pass 2 values as input to the update statement

Is it possible to chain subsequent queries's where clauses in Dapper based on the results of a previous query in the same connection?

Is it possible to use .QueryMultiple (or some other method) in Dapper, and use the results of each former query to be used in the where clause of the next query, without having to do each query individually, get the id, and then .Query again, get the id and so on.
For example,
string sqlString = #"select tableA_id from tableA where tableA_lastname = #lastname;
select tableB_id from tableB WHERE tableB_id = tableA_id";
db.QueryMultiple.(sqlString, new {lastname = "smith"});
Is something like this possible with Dapper or do I need a view or stored procedure to accomplish this? I can use multiple joins for one SQL statement, but in my real query there are 7 joins, and I didn't think I should return 7 objects.
Right now I'm just using object.
You can store every previous query in table parameter and then first perform select from the parameter and query for next, for example:
DECLARE #TableA AS Table(
tableA_id INT
-- ... all other columns you need..
)
INSERT #TableA
SELECT tableA_id
FROM tableA
WHERE tableA_lastname = #lastname
SELECT *
FROM #TableA
SELECT tableB_id
FROM tableB
JOIN tableA ON tableB_id = tableA_id

python oracle where clause containing date greater than comparison

I am trying to use cx_Oracle to query a table in oracle DB (version 11.2) and get rows with values in a column between a datetime range.
I have tried the following approaches:
Tried between clause as described here, but cursor gets 0 rows
parameters = (startDateTime, endDateTime)
query = "select * from employee where joining_date between :1 and :2"
cur = con.cursor()
cur.execute(query, parameters)
Tried the TO_DATE() function and Date'' qualifiers. Still no result for Between or >= operator. Noteworthy is that < operator works. I also got the same query and tried in a sql client, and the query returns results. Code:
#returns no rows:
query = "select * from employee where joining_date >= TO_DATE('" + startDateTime.strftime("%Y-%m-%d") + "','yyyy-mm-dd')"
cur = con.cursor()
cur.execute(query)
#tried following just to ensure that some query runs fine, it returns results:
query = query.replace(">=", "<")
cur.execute(query)
Any pointers about why the between and >= operators are failing for me? (my second approach was in line with the answer in Oracle date comparison in where clause but still doesn't work for me)
I am using python 3.4.3 and used cx_Oracle 5.3 and 5.2 with oracle client 11g on windows 7 machine
Assume that your employee table contains the field emp_id and the row with emp_id=1234567 should be retrieved by your query.
Make two copies of your a program that execute the following queries
query = "select to_char(:1,'YYYY-MM-DD HH24:MI:SS')||' >= '||to_char(joining_date,'YYYY-MM-DD HH24:MI:SS')||' >= '||to_char(:2,'YYYY-MM-DD HH24:MI:SS') resultstring from employee where emp_id=1234567"
and
query="select to_char(joining_date,'YYYY-MM-DD HH24:MI:SS')||' >= '||to_char(TO_DATE('" + startDateTime.strftime("%Y-%m-%d") + "','yyyy-mm-dd'),'YYYY-MM-DD HH24:MI:SS') resultstring from employee where emp_id=1234567"
Show us the code and the value of the column resultstring
You are constructing SQL queries as strings when you should be using parameterized queries. You can't use parameterization to substitute the comparison operators, but you should use it for the dates.
Also, note that the referenced answer uses the PostgreSQL parameterisation format, whereas Oracle requires you to use the ":name" format.

Subsonic 3 Simple Query inner join sql syntax

I want to perform a simple join on two tables (BusinessUnit and UserBusinessUnit), so I can get a list of all BusinessUnits allocated to a given user.
The first attempt works, but there's no override of Select which allows me to restrict the columns returned (I get all columns from both tables):
var db = new KensDB();
SqlQuery query = db.Select
.From<BusinessUnit>()
.InnerJoin<UserBusinessUnit>( BusinessUnitTable.IdColumn, UserBusinessUnitTable.BusinessUnitIdColumn )
.Where( BusinessUnitTable.RecordStatusColumn ).IsEqualTo( 1 )
.And( UserBusinessUnitTable.UserIdColumn ).IsEqualTo( userId );
The second attept allows the column name restriction, but the generated sql contains pluralised table names (?)
SqlQuery query = new Select( new string[] { BusinessUnitTable.IdColumn, BusinessUnitTable.NameColumn } )
.From<BusinessUnit>()
.InnerJoin<UserBusinessUnit>( BusinessUnitTable.IdColumn, UserBusinessUnitTable.BusinessUnitIdColumn )
.Where( BusinessUnitTable.RecordStatusColumn ).IsEqualTo( 1 )
.And( UserBusinessUnitTable.UserIdColumn ).IsEqualTo( userId );
Produces...
SELECT [BusinessUnits].[Id], [BusinessUnits].[Name]
FROM [BusinessUnits]
INNER JOIN [UserBusinessUnits]
ON [BusinessUnits].[Id] = [UserBusinessUnits].[BusinessUnitId]
WHERE [BusinessUnits].[RecordStatus] = #0
AND [UserBusinessUnits].[UserId] = #1
So, two questions:
- How do I restrict the columns returned in method 1?
- Why does method 2 pluralise the column names in the generated SQL (and can I get round this?)
I'm using 3.0.0.3...
So far my experience with 3.0.0.3 suggests that this is not possible yet with the query tool, although it is with version 2.
I think the preferred method (so far) with version 3 is to use a linq query with something like:
var busUnits = from b in BusinessUnit.All()
join u in UserBusinessUnit.All() on b.Id equals u.BusinessUnitId
select b;
I ran into the pluralized table names myself, but it was because I'd only re-run one template after making schema changes.
Once I re-ran all the templates, the plural table names went away.
Try re-running all 4 templates and see if that solves it for you.

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