Cannot use Named Parameters with SSRS and PostgreSQL - postgresql

I'm trying to add named parameters to a dataset query in a SSRS report (I'm using Report Builder), but I have had no luck discovering the correct syntax. I have tried #parameter, $1, $parameter and others, all without success. I suspect the syntax is just different for PostgreSQL versus normal SQL.
The only success I have had with passing parameters was based on this answer.
It involves using ? for every single parameter.
My query might look something like this:
SELECT address, code, remarks FROM table_1 WHERE date BETWEEN ? AND ? AND apt_num IS NULL AND ADDRESS = ?
This does work, but in the case of a query where I pass the same parameter to more than one part of the SELECT statement, I have to add the same parameter to the list multiple times as shown here. They are passed in this order, so adding a new parameter to an existing query results in having to reshuffle, and sometimes completely rebuild, the query parameters tab.
What are the proper syntax and naming requirements for adding named Parameters when using a PostgreSQL data source in SSRS?

From my comment, this is what it would look like with a regular join:
with inparms as (
select ? as from_date, ? as to_date, ? as address
)
select t.address, t.code, t.remarks
from inparms i
join table_1 t
on t.date between i.from_date and i.to_date
and t.apt_num is null
and t.address = i.address;
I said cross join in my comment because it is sometimes quicker when retrofitting somebody else's SQL instead of trying to untangle things (thinking of a friend who uses right join sometimes just to ruin my day).

Related

SSRS multi value parameter - can't get it to work

First off this is my first attempt at a multi select. I've done a lot of searching but I can't find the answer that works for me.
I have a postgresql query which has bg.revision_key in (_revision_key) which holds the parameter. A side note, we've named all our parameters in the queries with the underscore and they all work, they are single select in SSRS.
In my SSRS report I have a parameter called Revision Key Segment which is the multi select parameter. I've ticked Allow multi value and in Available Values I have value field pointing to revision_key in the dataset.
In my dataset parameter options I have Parameter Value [#revision_key]
In my shared dataset I also have my parameter set to Allow multi value.
For some reason I can't seem to get the multi select to work so I must be missing something somewhere but I've ran out of ideas.
Unlike with SQL Server, when you connect to a database using an ODBC connection, the parameter support is different. You cannot use named parameters and instead have to use the ? syntax.
In order to accommodate multiple values you can concatenate them into a single string and use a like statement to search them. However, this is inefficient. Another approach is to use a function to split the values into an in-line table.
In PostgreSQL you can use an expression like this:
inner join (select CAST(regexp_split_to_table(?, ',') AS int) as filter) as my on my.filter = key_column
Then in the dataset properties, under the parameters tab, use an expression like this to concatenate the values:
=Join(Parameters!Keys.Value, ",")
In other words, the report is concatenating the values into a comma-separated list. The database is splitting them into a table of integers then inner joining on the values.

IBM DB2 SQLException with "DB2 SQL Error: SQLCODE=-420, SQLSTATE=22018, SQLERRMC=DECFLOAT, DRIVER=3.66.46"

I am working on a Jasper report using iReport 5.6 and IBM DB2 as data source. I am passing a list of strings as a parameter to the report and that is where the problem rises. The query is below;
SELECT customers.mobile_number,
COALESCE(Count(DISTINCT transaction_entries.transaction_id), 0) AS
number_of_transactions,
COALESCE(Sum(Abs(transaction_entries.amount)) / 100, 0) AS
volume_of_transactions
FROM transaction_entries
JOIN customers
ON customers.id = transaction_entries.customer_id
WHERE transaction_entries.transaction_type = 'Seasonal'
AND transaction_entries.notification_text <> 'Notification'
AND customers.mobile_number IN ( $p ! {listOfMobileNumbers} )
GROUP BY customers.mobile_number
When I try to generate the report I get the error Caused by: com.ibm.db2.jcc.am.SqlDataException: DB2 SQL Error: SQLCODE=-420, SQLSTATE=22018, SQLERRMC=DECFLOAT, DRIVER=3.66.46.
Any idea why ? and the possible solution ?
I would first verify that by commenting-out the last predicate of the WHERE clause avoids the error; i.e. redact the failing statement such that the IN predicate referencing the Jasper variable as input is no longer part of the query.
Then, determine what defines that variable replacement, from the output of the following query:
select '$p ! {listOfMobileNumbers}' from sysibm.sysdummy1
If the effect of the above query, used to reveal the data in that list, presents something like '1234,567,890', then I would suggest modifying the data that defines that list to reflect either of '1234','567','890' or 1234, 567, 890 instead.
FWiW: IMO the actual DDL [for column(s) or the TABLE] is much clearer to a reader than suggesting merely that:
The mobile_number field is returned from the database as a String and not a DECIMAL

Converting complex query with inner join to tableau

I have a query like this, which we use to generate data for our custom dashboard (A Rails app) -
SELECT AVG(wait_time) FROM (
SELECT TIMESTAMPDIFF(MINUTE,a.finished_time,b.start_time) wait_time
FROM (
SELECT max(start_time + INTERVAL avg_time_spent SECOND) finished_time, branch
FROM mytable
WHERE name IN ('test_name')
AND status = 'SUCCESS'
GROUP by branch) a
INNER JOIN
(
SELECT MIN(start_time) start_time, branch
FROM mytable
WHERE name IN ('test_name_specific')
GROUP by branch) b
ON a.branch = b.branch
HAVING avg_time_spent between 0 and 1000)t
GROUP BY week
Now I am trying to port this to tableau, and I am not being able to find a way to represent this data in tableau. I am stuck at how to represent the inner group by in a calculated field. I can also try to just use a custom sql data source, but I am already using another data source.
columns in mytable -
start_time
avg_time_spent
name
branch
status
I think this could be achieved new Level Of Details formulas, but unfortunately I am stuck at version 8.3
Save custom SQL for rare cases. This doesn't look like a rare case. Let Tableau generate the SQL for you.
If you simply connect to your table, then you can usually write calculated fields to get the information you want. I'm not exactly sure why you have test_name in one part of your query but test_name_specific in another, so ignoring that, here is a simplified example to a similar query.
If you define a calculated field called worst_case_test_time
datediff(min(start_time), dateadd('second', max(start_time), avg_time_spent)), which seems close to what your original query says.
It would help if you explained what exactly you are trying to compute. It appears to be some sort of worst case bound for avg test time. There may be an even simpler formula, but its hard to know without a little context.
You could filter on status = "Success" and avg_time_spent < 1000, and place branch and WEEK(start_time) on say the row and column shelves.
P.S. Your query seems a little off. Don't you need an aggregation function like MAX or AVG after the HAVING keyword?

ormlite select count(*) as typeCount group by type

I want to do something like this in OrmLite
SELECT *, COUNT(title) as titleCount from table1 group by title;
Is there any way to do this via QueryBuilder without the need for queryRaw?
The documentation states that the use of COUNT() and the like necessitates the use of selectRaw(). I hoped for a way around this - not having to write my SQL as strings is the main reason I chose to use ORMLite.
http://ormlite.com/docs/query-builder
selectRaw(String... columns):
Add raw columns or aggregate functions
(COUNT, MAX, ...) to the query. This will turn the query into
something only suitable for using as a raw query. This can be called
multiple times to add more columns to select. See section Issuing Raw
Queries.
Further information on the use of selectRaw() as I was attempting much the same thing:
Documentation states that if you use selectRaw() it will "turn the query into" one that is supposed to be called by queryRaw().
What it does not explain is that normally while multiple calls to selectColumns() or selectRaw() are valid (if you exclusively use one or the other),
use of selectRaw() after selectColumns() has a 'hidden' side-effect of wiping out any selectColumns() you called previously.
I believe that the ORMLite documentation for selectRaw() would be improved by a note that its use is not intended to be mixed with selectColumns().
QueryBuilder<EmailMessage, String> qb = emailDao.queryBuilder();
qb.selectColumns("emailAddress"); // This column is not selected due to later use of selectRaw()!
qb.selectRaw("COUNT (emailAddress)");
ORMLite examples are not as plentiful as I'd like, so here is a complete example of something that works:
QueryBuilder<EmailMessage, String> qb = emailDao.queryBuilder();
qb.selectRaw("emailAddress"); // This can also be done with a single call to selectRaw()
qb.selectRaw("COUNT (emailAddress)");
qb.groupBy("emailAddress");
GenericRawResults<String[]> rawResults = qb.queryRaw(); // Returns results with two columns
Is there any way to do this via QueryBuilder without the need for queryRaw(...)?
The short answer is no because ORMLite wouldn't know what to do with the extra count value. If you had a Table1 entity with a DAO definition, what field would the COUNT(title) go into? Raw queries give you the power to select various fields but then you need to process the results.
With the code right now (v5.1), you can define a custom RawRowMapper and then use the dao.getRawRowMapper() method to process the results for Table1 and tack on the titleCount field by hand.
I've got an idea how to accomplish this in a better way in ORMLite. I'll look into it.

sqlalchemy group_by error

The following works
s = select([tsr.c.kod]).where(tsr.c.rr=='10').group_by(tsr.c.kod)
and this does not:
s = select([tsr.c.kod, tsr.c.rr, any fields]).where(tsr.c.rr=='10').group_by(tsr.c.kod)
Why?
thx.
It doesn't work because the query isn't valid like that.
Every column needs to be in the group_by or needs an aggregate (i.e. max(), min(), whatever) according to the SQL standard. Most databases have always complied to this but there are a few exceptions.
MySQL has always been the odd one in this regard, within MySQL this behaviour depends on the ONLY_FULL_GROUP_BY setting: https://dev.mysql.com/doc/refman/8.0/en/group-by-handling.html
I would personally recommend setting the sql_mode setting to ANSI. That way you're largely compliant to the SQL standard which will help you in the future if you ever need to use (or migrate) to a standards compliant database such as PostgreSQL.
What you are trying to do is somehow valid in mysql, but invalid in standard sql, postgresql and common sense. When you group rows by 'kod', each row in a group has the same 'kod' value, but different values for 'rr' for example. With aggregate functions you can get some aspect of the values in this column for each group, for example
select kod, max(rr) from table group by kod
will give you list of 'kod's and the max of 'rr's in each group (by kod).
That being sad, in the select clause you can only put columns from the group by clause and/or aggregate functions from other columns. You can put whatever you like in where - this is used for filtering. You can also put additional 'having' clause after group that contains aggregate function expression that can also be used as post-group filtering.