I have a dynamic result from Dapper query that contains records like this:
{DapperRow, billing_currency_code = 'USD', count(*) = '6'}
I'm able to access 'USD' by using rowVariable.billing_currency_code
To get '6' value I tried rowVariable["count(*)"] and rowVariable.kv["count(*)"] and unfortunately nothing works...
I can't change the count(*) column name in my case
How to get the '6' value from the rowVariable of type DapperRow in such case?
If the column name genuinely is "count(*)", then you can cast the row to a dictionary:
var data = (IDictionary<string,object>)row;
object value = data["count(*)"];
For that to work (at least, in SQL Server), your query would need to be something like:
select count(*) as [count(*)]
However, in most cases the column doesn't have a name, in which case: fix your query ;p
Actually, I'd probably say fix your query anyway; the following would be much easier to work with:
select count(*) as [Count]
Suppose Your Data as below
var Details={DapperRow, billing_currency_code = 'USD', count(*) = '6'}
as The columns is coming dynamically
var firstRow= Details.FirstOrDefault();
To get the heading columns of the data
var Heading= ((IDictionary<string, object>)firstRow).Keys.ToArray();
To get the value of the data by using key
var details = ((IDictionary<string, object>)firstRow);
var vallues= details[Heading[0]];
Related
Hi guys,
I'm currently trying to join two objects in a same query or result.
My question is if it's possible to show or debug the sum of FIELD A FROM LEAD + sum of FIELD B FROM two different Objects.
Here's an example I'm working on:
Btw I really appreciate your time and comments, and if i'm making a mistake pls let me know, thank you.
public static void example() {
String sQueryOne;
String sQueryTwo;
AggregateResult[] objOne;
AggregateResult[] objTwo;
//I tried to save the following querys into a sObject List
List<SObject> bothObjects = new List<SObject>();
sQueryOne = 'Select Count(Id) records, Sum(FieldA) fieldNA From Lead';
objOne = Database.query(sQueryOne);
sQueryTwo = 'Select Count(Id) records, Sum(FieldA) fieldNB From Opportunity';
objTwo = Database.query(sQueryTwo);
bothObjects.addAll(objOne);
bothObjects.addAll(objTwo);
for(sObject totalRec : bothObjects) {
//There's a Wrapper(className) I created which contains some variables(totalSum)
className finalRes = new className();
finalRes.totalSum = (Integer.valueOf(fieldNA)) + (Integer.valueOf(fieldNB));
System.debug('The sum is: '+finalRes.totalSum);
For example if I call a System debug with the previous variable finalRes.totalSum it's just showing the first value(fieldNA) duplicated.
The following debug shows the current values of the sObject List which I want to sum for example FIELD0 = from leads, FIELD0 = from Opportunities.
}
}
You access the columns in AggregateResult by calling get('columnAlias'). If you didn't specify an alias they'll be autonumbered by SF as expr0, expr1... When in doubt you can always go System.debug(results);
Some more info: https://developer.salesforce.com/docs/atlas.en-us.apexcode.meta/apexcode/langCon_apex_SOQL_agg_fns.htm
This might give you some ideas:
List<AggregateResult> results = new List<AggregateResult>{
[SELECT COUNT(Id) records, SUM(NumberOfEmployees) fieldA, SUM(AnnualRevenue) fieldB FROM Account],
[SELECT COUNT(Id) records, SUM(Amount) fieldA, SUM(TotalOpportunityQuantity) fieldB FROM Opportunity],
[SELECT COUNT(Id) records, SUM(NumberOfEmployees) fieldA, SUM(AnnualRevenue) fieldB FROM Lead]
/* hey, not my fault these are only 2 standard numeric fields on Lead.
It doesn't matter that they're identical to Account fields, what matters is what their SUM(...) aliases are
*/
};
List<Decimal> totals = new List<Decimal>{0,0,0};
for(AggregateResult ar : results){
totals[0] += (Decimal) ar.get('records');
totals[1] += (Decimal) ar.get('fieldA');
totals[2] += (Decimal) ar.get('fieldB');
}
System.debug(totals); // (636, 8875206.0, 9819762558.0) in my dev org
(I'm not saying it's perfect, your wrapper class sounds like better idea or maybe even Map<String, Decimal>. Depends what are you going to do with the results)
I am using Neo4j as a database to store voting information related to another database object.
I have a Vote object which has fields:
type:String with values of UP or DOWN.
argId:String which is a string ID value linking to a unique argument object
I am trying to query the number of votes assigned to a given argId using the following queries:
MATCH (v:Vote) WHERE v.argId = '214' AND v.type='DOWN'
RETURN {downvotes: COUNT(v)} AS votes
UNION
MATCH (v:Vote) WHERE v.argId = '214' AND v.type='UP'
RETURN {upvotes: COUNT(v)} AS votes
Note that this above cypher -- works and returns the expected result result like so:
[
{
"downvotes": 1
},
{
"upvotes": 10
}
]
But I feel like the query could be a bit neater and want to write something like this:
MATCH (v:Vote) WHERE v.argId = '214' AND v.type='UP'
MATCH (b:Vote) WHERE b.argId = '214' AND b.type='DOWN'
RETURN {upvotes: COUNT(v), downvotes: COUNT(b)}
Just reading it through, I think it makes sense, b and v are declared as separate variables, so all should be good (so I thought).
But running it given me this:
{
"upvotes": 10,
"downvotes": 10
}
But it should be what I have above.
Why is this?
I'm kinda new to neo4j and cypher so I've probably not understood how cypher works fully.
Can anyone shine any light?
Thank you!
p.s. I'm using Neo4j 3.5.6 and running the queries via the Desktop web browser app.
I think if you run this query you will get a clearer picture of what is happeneing. Your query produces a cartesian product of the upvotes(10) and the downvotes(1). The product is a result set of 10 rows. When they are subsequently counted, there are ten of each.
MATCH (v:Vote) WHERE v.argId = '214' AND v.type='UP'
MATCH (b:Vote) WHERE b.argId = '214' AND b.type='DOWN'
RETURN v.type, b.type
In order to get the result you want you need to filter the values and count them individually.
Rather than have two match statements, have a single match statement that retreives all of the values of interest and then use a conditional statement to filter them into upvotes and downbotes buckets.
Something like this may suit you.
MATCH (v:Vote {argId: '214'})
WHERE v.type IN ['UP', 'DOWN']
RETURN {
upvotes: count(CASE WHEN v.type = 'DOWN' THEN 1 END),
downvotes: count(CASE WHEN v.type = 'UP' THEN 1 END)
} AS vote_result
Using APOC you could do something like this whereby you use the type values themselves to aggregate the counts and then use APOC to convert it to a map with the types as the keys in the map.
MATCH (v:Vote {argId: '214'})
WHERE v.type IN ['UP', 'DOWN']
WITH [v.type, count(*)] AS vote_pair
RETURN apoc.map.fromPairs(collect(vote_pair)) AS votes
I'm using laravel, I want to make show all last data based on pinjaman_id this mean I only need last data of pinjaman_id, so pinjaman_id cant show duplicate, I just need the last one, and show them all last data with diffirent pinjaman_id
$pinjaman = DB::table('invoice')->where('pinjaman_id', 67)->orderBy('tgl_tempo', 'desc')->first();
if I'm using this, its only show last data in pinjaman_id = 67, I need to show them all but only last data based on tgl_tempo desc
$pinjaman = DB::table('invoice')->where('pinjaman_id', ??)->orderBy('tgl_tempo', 'desc')->first();
this is image my database
You have to use raw query to get the correct data then use UNION ALL to get other data
$results = DB::select("(SELECT * FROM invoice WHERE pinjaman_id= 67 order by tgl_tempo DESC limit 1) UNION ALL (SELECT * FROM invoice WHERE pinjaman_id != 67)") ;
try this one
$query = "select * from invoice where id IN (select MAX(id) from invoice where user_id = :userId group by pinjaman_id) order by tgl_tempo desc ";
$result = DB::select(DB::raw($query),['userId' => 1]);
I'm building an application that needs to allow the user to filter a data table according to different filters. So, the user will have three different filter posibilites but he might use only one, or two or the three of them at the same tame.
So, let's say I have the following columns on the table:
ID (int) PK
Sede (int)
Programa (int)
Estado (int)
All of those columns will store numbers, integers. The "ID" column is the primary key, "Sede" stores 1 or 2, "Programa" is any number between 1 and 15, and "Estado" will store numbers between 1 and 13.
The user may filter the data stored in the table using any of those filters (Sede, Programa or Estado). But the might, as well, use two filters, or the three of them at the same time.
The idea is that this application works like the data filters on Excel. I created a simulated table on excel to show what I want to achieve:
This first image shows the whole table, without applying any filter.
Here, the user selected a filter for "Sede" and "Programa" but leaved the "Estado" filter empty. So the query returns the values that are equal to the filter, but leaves the "Estado" filter open, and brings all the records, filering only by "Sede" (1) and "Programa" (6).
In this image, the user only selected the "Estado" filter (5), so it brings all the records that match this criteria, it doesn't matter if "Sede" or "Programa" are empty.
If I use a SELECT clasuse with a WHERE on it, it will work, but only if the three filters have a value:
DECLARE #sede int
DECLARE #programa int
DECLARE #estado int
SET #sede = '1'
SET #programa = '5'
SET #estado = '12'
SELECT * FROM [dbo].[Inscripciones]
WHERE
([dbo].[Inscripciones].[Sede] = #sede)
AND
([dbo].[Inscripciones].[Programa] = #programa)
AND
([dbo].[Inscripciones].[Estado] = #estado)
I also tryed changing the "AND" for a "OR", but I can't get the desired result.
Any help will be highly appreciated!! Thanks!
common problem: try using coalesce on the variable and for the 2nd value use the field name you're comparing to. Be careful though; Ensure it's NULL and not empty string being passed!
What this does is take the first non-null value of the variable passed in or the value you're comparing to.. Thus if the value passed in is null the comparison will always return true.
WHERE
[dbo].[Inscripciones].[Sede] = coalesce(#sede, [dbo].[Inscripciones].[Sede])
AND
[dbo].[Inscripciones].[Programa] = coalesce(#programa, [dbo].[Inscripciones].[Programa])
AND
[dbo].[Inscripciones].[Estado] = coalesce(#estado, [dbo].[Inscripciones].[Estado])
If sede is null and programa and estado are populated the compare would look like...
?=? (or 1=1)
?=programa variable passed in
?=Estado variable passed in
Boa Sorte!
Thank you all for your anwers. After reading the article posted in the comments by #SeanLange I was finally able to achieve what was needed. Using a CASE clause in the WHERE statement solves the deal. Here's the code:
SELECT
*
FROM [dbo].[Inscripciones]
WHERE
([dbo].[Inscripciones].[Sede] = (CASE WHEN #sede = '' THEN [dbo].[Inscripciones].[Sede] ELSE #sede END))
AND
([dbo].[Inscripciones].[Programa] = (CASE WHEN #programa = '' THEN [dbo].[Inscripciones].[Programa] ELSE #programa END))
AND
([dbo].[Inscripciones].[Estado] = (CASE WHEN #estado = '' THEN [dbo].[Inscripciones].[Estado] ELSE #estado END))
AND
([dbo].[Inscripciones].[TipoIngreso] = (CASE WHEN #tipoingreso = '' THEN [dbo].[Inscripciones].[TipoIngreso] ELSE #tipoingreso END))
Thanks again!!
I am trying to run this query but the query keeps giving up on me:
Update StockInvoiceInfo set Quantity = Quantity - 2 where p_id = 5 AND ProductDate = convert(Cast('31-5-2015' as datetime)) ;
After Running this code it returns an error below:
Incorrect syntax near '31-5-2015'
The datatype of the ProductDate column isDate. I am using Sql Server 2012.
You have used Convert functions but didn't supplied it with parameters. Also there is no need for this function here. Also take care of date format. I have changed it to standard format:
Update StockInvoiceInfo set Quantity = Quantity - 2
where p_id = 5 AND ProductDate = Cast('2015-05-31' as datetime)
If all you are trying to do is compare a Sql Date, then just use an agnostic format like '20150531' or easier to read '2015-05-31'. No need for casts or convert at all, i.e.
WHERE ... AND ProductDate = '2015-05-31'
However, if ProductDate isn't a date, but one of the *DATETIME* data types, and you are looking to update any time on the same day, then I believe you are looking for something like:
Update StockInvoiceInfo
set Quantity = Quantity - 2
where
p_id = 5
AND CAST(ProductDate AS DATE) = '2015-05-31';
However, the performance will be lousy as the clause isn't likely to be SARGable. You're better off simply doing:
AND ProductDate >= '2015-05-31' AND ProductDate < '2015-06-01';
(Resist the temptation to use between, or hacks like ':23:59:59' as there will be data corner cases which will bite you)
use CAST('5-31-2015' as DATETIME)
with the above update statement you started convert but with incomplete syntax
here the convert syntax
Update StockInvoiceInfo
set Quantity = Quantity - 2
where p_id = 5
AND ProductDate = convert(datetime,Cast('31-5-2015' as varchar),103) ;