summing values from one table into another table - vb6

I'm an SQL newbie using VB6/Access 2000 and am trying to get a query which puts the sum of values from a table into another table.
VB6 does the job, but it's so slow.
I searched and tried in Access many times, just got lost with keywords IN, ON, (INNER) JOIN, each time getting a different error.
The core code should be as follows:
update t1
set t1.value = sum(t2.value)
where
val(t2.code)>89
and
t2.date=t1.date
t1.date is a date, no duplicates
t2.code is a variable string like '0081', '090'
values are single precision
After further searching i found a similar question here ( http://goo.gl/uqlw0U ) and tried that:
UPDATE t1
SET t1.value =
(
SELECT
SUM(t2.value)
FROM spese
WHERE
t1.date=t2.date
AND
val(t2.code)>89
)
but Access just says "updatable query needed" -- what does that mean?

Try this:
UPDATE t1
SET t1.value = SUM(t2.value)
FROM t1, t2
WHERE
val(t2.code)>89
AND
t2.date=t1.date

Related

How to apply a filter based on the current row

I'm building a calculated column that needs to sum all the rows in the same table that share a few common properties and have a greater date value.
I know I need to use calculate to break the filter context, but I'm not sure how to reference the row being calculated vs the table of the same name inside the calculate function. In Sql, this would be done as a self join with two different aliases for the same table, what is the DAX equivalent?
SQL pseudo code:
select
t1.Name
,sum(t2.a)
from table t1
inner join table t2 on t1.b = t2.b
and t1.c < t2.c
group by t1.name
DAX (how do I correctly reference outer row vs inner table?):
calculate(sum(table[a]),
filter(all(table), table[b] = table[b])
)
As suggested by #RADO, the earlier function does this (but you might not guess that from the name!).
Using my previous example, it looks like this:
calculate(sum(table[a]),
filter(all(table), table[b] = earlier(table[b]))
)

Update statement with joins in Oracle

I need to update one column in table A with the result of a multiplication of one field from table A with one field from table B.
It would be pretty simple to do this in T-SQL, but I can't write the correct syntax in Oracle.
What I've tried:
UPDATE TABLE_A
SET TABLE_A.COLUMN_TO_UPDATE =
(select TABLE_A.COLUMN_WITH_SOME_VALUE * TABLE_B.COLUMN_WITH_PERCENTAGE
from TABLE_A
INNER JOIN TABLE_B
ON TABLE_A.PRODUCT_ID = TABLE_B.PRODUCT_ID
AND TABLE_A.SALES_CHANNEL_ID = TABLE_B.SALES_CHANNEL_ID)
WHERE TABLE_A.MONTH_ID IN (201601, 201602, 201603);
But I keep getting errors. Could anybody help me, please?
I generally prefer to use the below format for such cases since this will ensure there's no update performed if there's no data in the table(query extracted temp table) whereas in the above solution provided by Brian Leach will update the new value as null if there's no record present in the 2nd table but exists in the first table.
UPDATE
(
select TABLE_A.COLUMN_TO_UPDATE
, TABLE_A.PRODUCT_ID
, TABLE_A.COLUMN_WITH_SOME_VALUE * TABLE_B.COLUMN_WITH_PERCENTAGE as value
from TABLE_A
INNER JOIN TABLE_B
ON TABLE_A.PRODUCT_ID = TABLE_B.PRODUCT_ID
AND TABLE_A.SALES_CHANNEL_ID = TABLE_B.SALES_CHANNEL_ID
AND TABLE_A.MONTH_ID IN (201601, 201602, 201603)
) DATA
SET DATA.COLUMN_TO_UPDATE = DATA.value;
This solution can cause key preserved value issues which shouldn't be an issue here since i expect a single row in both the tables for one product(ID).
More on Key Preserved table concept in inner join can be found here
https://asktom.oracle.com/pls/asktom/f?p=100:11:::::P11_QUESTION_ID:548422757486
#Jayesh Mulwani raiesed a valid point, this will set the value to null if there is no matching record. This may or may not be the desired result. If it isn't, and no change is desirect, you can change the select statement to:
coalesce((SELECT table_b.column_with_percentage
FROM table_b
WHERE table_a.product_id = table_b.product_id AND table_a.sales_channel_id = table_b.sales_channel_id),1)
If this is the desired outcome, Jayesh's solution will be more efficient as it will only update matching records.
UPDATE table_a
SET table_a.column_to_update = table_a.column_with_some_value
* (SELECT table_b.column_with_percentage
FROM table_b
WHERE table_a.product_id = table_b.product_id
AND table_a.sales_channel_id = table_b.sales_channel_id)
WHERE table_a.month_id IN (201601, 201602, 201603);

Nested select in hiveQL

In one of my use case, i have two tables namely flow and conf. The flow table contains list of all flight data. It has columns creationdate,datafilename,aircraftid. The conf table contains configuration information. It has columns configdate, aircraftid, configurationame. There are multiple versions of configurations created for one aircraft type. So, when we process a datafilename, we need to identify the aircraftid from the flow table, and pick up the configuration from conf table that was created just before the datafilename was created. So, i tried this,
FROM (
SELECT
F_FILE_CREATION_DATE,
F_FILE_ARCHIVED_RELATIVE_PATH,
F_FILE_ARCHIVED_NAME,
K_AIRCRAFT
from T_FLOW f )x left join
(
select c.config_date, c.aircraft_id, c.configurationfrom t_conf c
) y on y.aircraft_id = x.K_AIRCRAFT
select
x.F_FILE_CREATION_DATE,
x.F_FILE_ARCHIVED_RELATIVE_PATH,
x.F_FILE_ARCHIVED_NAME,
x.K_AIRCRAFT,
y.config_date,
y.aircraft_id,
y.configuration;
This picks up all the configurations created for the aircraft which is obvious as there is no condition to check conf.config_date < flow.f_file_creation_date. I tried to include this condition like this,
FROM (
SELECT
F_FILE_CREATION_DATE,
F_FILE_ARCHIVED_RELATIVE_PATH,
F_FILE_ARCHIVED_NAME,
K_AIRCRAFT
from T_FLOW f )x join
(
select c.config_date, c.aircraft_id, c.FILEFILTER from t_conf c
) y on y.aircraft_id = x.K_AIRCRAFT where y.config_date < x.f_file_creation_date
select
x.F_FILE_CREATION_DATE,
x.F_FILE_ARCHIVED_RELATIVE_PATH,
x.F_FILE_ARCHIVED_NAME,
x.K_AIRCRAFT,
y.config_date,
y.aircraft_id,
y.filefilter;
This time failed with the error
required (...)+ loop did not match anything at input 'where' in statement
Can someone give me a hint or two where i am going wrong and on how to fix this?
select f.f_file_creation_date
,f.f_file_archived_relative_path
,f.f_file_archived_name
,f.k_aircraft
,c.config_date
,c.aircraft_id
,c.filefilter
from t_flow as f
join (select config_date
,aircraft_id
,filefilter
,lead (config_date,1,date '3000-01-01') over
(
partition by aircraft_id
order by config_date
) as next_config_date
from t_conf
) c
on c.aircraft_id =
f.k_aircraft
where f.f_file_creation_date >= c.config_date
and f.f_file_creation_date < c.next_config_date
Please read carefully
Posting a question
When you post a data related question -
Supply a data sample: source data + required results.
It is going to be more clear than any explanation you give.
It will also supply a common background for further discussions and a way for you and others to verify the correctness of the given solutions.
Supply the size properties (records/volume) of the tables.
It is important for performance considerations ans might impact the given solution.
SQL
Hive currently does not support any JOIN condition type other than equijoin (e.g. t1.X = t2.X and t1.Y = t2.Y). This is why you get an error.
If you are doing an inner join (and not outer join) then you can move the non-equijoin conditions to the WHERE clause.
Stick to ISO SQL standard. There is a conventional order for SQL clauses: SELECT-FROM-WHERE...
You gain nothing from esoteric syntax except for esoteric error messages.
There is no reason what so ever to use sub-queries in order to narrow the columns list.
Just to make it perfectly clear - There isn't any performance gain doing that. More than that, if it would have work as you assume (and it does not) the performance would have been worse, not better.
I can't reproduce your error. I guess your query is valid.
What version do you use for Hive ? I tested this query with hive 2.1.1.
DROP TABLE IF EXISTS t_flow;
CREATE TABLE IF NOT EXISTS t_flow (
f_file_creation_date DATE
, f_file_archived_relative_path STRING
, f_file_archived_name STRING
, k_aircraft STRING
);
-- Conf table contains configuration information.
-- It has columns configdate, aircraftid, configurationame
DROP TABLE IF EXISTS t_conf;
CREATE TABLE IF NOT EXISTS t_conf (
config_date DATE
, aircraft_id STRING
, filefilter STRING
);
SELECT
x.f_file_creation_date,
x.f_file_archived_relative_path,
x.f_file_archived_name,
x.k_aircraft,
y.config_date,
y.aircraft_id,
y.filefilter
FROM
(SELECT
f_file_creation_date,
f_file_archived_relative_path,
f_file_archived_name,
k_aircraft
FROM t_flow f) x
JOIN
(SELECT
c.config_date,
c.aircraft_id,
c.filefilter
FROM t_conf c) y on y.aircraft_id = x.k_aircraft where y.config_date < x.f_file_creation_date;

Oracle: Invalid identifier

I am using the following query in oracle. However, it gives an error saying that "c.par" in line 5 is an invalid parameter. No idea why. The columns exist. I checked. I have been struggling with this for a long time. All I want to do is to merge one table into another and update it using oracle. Could someone please help?
MERGE INTO SPRENTHIERARCHIES
USING ( SELECT c.PARENTCATEGORYID AS par,
e.rootcategoryId AS root
FROM SPRENTCATEGORIES c,SPRENTHIERARCHIES e
WHERE e.root (+)= c.par
) SPRENTCATEGORIES
ON (SPRENTHIERARCHIES.rootcategoryId = SPRENTCATEGORIES.parentcategoryId)
WHEN MATCHED THEN
UPDATE SET e.root=c.par
The e and c aliases only exist within the query in the using clause. You're trying to refer to them in the update clause. You're also using a column alias from the using clause against the target table, which doesn't have that column (unless your tables have both rootcategoryId and root, and parentCategoryId and par).
So this:
UPDATE SET e.root=c.par
should be:
UPDATE SET SPRENTHIERARCHIES.rootcategoryId= SPRENTCATEGORIES.par
And in that using clause you're trying to use column aliases as the same level of query, so this:
WHERE e.root (+)= c.par
should be:
WHERE e.rootcategoryId (+)= c.PARENTCATEGORYID
Your on clause is wrong too, as that is not using the column alias:
ON (SPRENTHIERARCHIES.rootcategoryId = SPRENTCATEGORIES.par)
But I'd suggest you replace the old syntax in the using clause with proper join clauses:
MERGE INTO SPRENTHIERARCHIES
USING ( SELECT c.PARENTCATEGORYID AS par,
e.rootcategoryId AS root
FROM SPRENTCATEGORIES c
LEFT JOIN SPRENTHIERARCHIES e
ON e.rootcategoryId = c.PARENTCATEGORYID
) SPRENTCATEGORIES
ON (SPRENTHIERARCHIES.rootcategoryId = SPRENTCATEGORIES.par)
WHEN MATCHED THEN
UPDATE SET SPRENTHIERARCHIES.rootcategoryId= SPRENTCATEGORIES.par
You have a more fundamental problem though, as you're trying to update a joining column; this will get:
ORA-38104: Columns referenced in the ON Clause cannot be updated
As Gordon Linoff suggested you can use an update rather than a merge. Something like:
UPDATE SPRENTHIERARCHIES h
SET h.rootcategoryId = (
SELECT c.PARENTCATEGORYID
FROM SPRENTCATEGORIES c
WHERE c.PARENTCATEGORYID = h.rootCategoryID
)
WHERE EXISTS (
SELECT null
FROM SPRENTCATEGORIES c
WHERE c.PARENTCATEGORYID = h.rootCategoryID
)
The where exists clause is there in case there not be a matching record - which the outer join in your original query implies. But in this form it's even more obvious that you're going to update rootcategoryId to the same value, since you're selecting the parentCategoryID which is equal to it. So the update (or merge) seems to be pointless.

oracle sql inner join by months

I have a list of selected accounts and a table of account records (may or may not be in the selected list) across 40 months. I am able to select all the selected accounts that appear at least once in the table, but I also want to see which accounts appear in all 40 months. Like, I am hoping to do something similar to out join partition by except I want a smaller set of the data.
How can I do that? Thank you!
example:
select distinct table1.acct_no
from table1
inner join selectedAcct
on table1.acct_no = selectedAcct.acct_no
Something lik (not compiled/tested):
with acct_month_list as
(
-- get list of accts/months with missing months
-- as null
select distinct a.acctno, m.monno
from acctrecs a, mons m
where m.monno = a.monno(+)
)
select a2.acctno
from accounts a2
where not exists ( -- any accounst with a null monno have a missing
-- month
select null
from acct_month_list al
where al.acctno = a2.acctno
and a1.monno is null )
and exists ( -- ignore ones that have no records at all
select null
from acctrecs ar
where ar.acctno = a2.acctno )

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