I'm new to BIRT and I was wondering how i can access only one data of a MongoDB array. For now i can only specify a field and the field i want is in an array, so it gives me all the values for this field in an array. e.g.: [val1, val2, val3]
The problem is I only want one value to show because I want other fields form the same array.
i.e.:
COLUMN1 COLUMN2 COLUMN3
element[0].field1 element[0].field2 element[0].field3
element[1].field1 element[1].field2 element[1].field3
element[2].field1 element[2].field2 element[2].field3
and now it's giving me
COLUMN1
[element[0].field1, element[1].field1, element[2].field1]
and so on for the other columns.
Thanks!
I think I found it. It was in the Advanced settings from the Query section in the Data sets section..
Related
Link to example file:
https://docs.google.com/spreadsheets/d/1dCQSHWjndejkyyw-chJkBjfHgzEGYoRdXmPTNKu7ykg/edit?usp=sharing
The tab "Source data" contains the data to be used in the query on the tab "Query output". The tab "Desired result" shows what I would like the end result to look like.
The goal I'm trying to achieve is to have the formula in cell A2 on the tab "Query output" to populate the data in all four of the columns, so that it looks exactly like the "Desired result" tab. I know I can get the same result simply by entering additional formulas in C2 and D2, but this is not the objective, I need the results to come specifically from the single formula in A2.
The information in the "Additional data 1" column should simply repeat the word "Test" for every row that contains data in the first two columns. The information in the "Additional data 2" column should simply repeat the data from cell 'Source data'!A1 for every row that contains data in the first two columns.
Please feel free to edit the example file as it only contains dummy data. If you like, you can copy the tab "Query output" to create your own working formula for illustrative purposes.
EDIT:
I'm thinking along the lines of creating an array that consists of the required data for the columns "Additional data 1" and "Additional data 2" and then combining that array with the array of the query result which provides the first two columns. I've been experimenting with this in various ways, but so far the only result I have achieved is an error on the first cell of the query results. I also have no idea yet how I could make sure that the second array contains an equal amount of rows to the query result.
You can add static data into query:
=QUERY('Source data'!A3:B,"SELECT A,B, 'Test', '" & 'Source data'!A1 &"' WHERE A IS NOT NULL LABEL A '', B '', 'Test' '', '" & 'Source data'!A1 &"' ''")
Many thanks to #basic for the provided assistance! The insights were a great help to solving my issue. That said, I have muddled along a bit, and I've come up with a slightly different solution which I find better suited as it gives true blank values instead of a column filled with spaces.
First of all, instead of querying directly on the source data, I built an array and queried on that. I used the two existing columns (A and B) from the source data and added a third column to the array which does not exist in the source data. In order to make sure that the third column would consist of blank values, I used the IFERROR formula.
=IFERROR(0/0)
The formula above returns a blank because dividing by zero forces an error and the IFERROR method returns a blank unless an alternative return value is specified.
In order to be able to use this formula in an array however, it had to be tweaked slightly, because as it is it would only return a single blank cell value instead of a column of blank values. To do this, I used an already existing column from the source data, and then encapsulated it in an ARRAYFORMULA.
=ARRAYFORMULA(IFERROR('Source data'!A3:A/0))
Using this, the resulting array has the following formula.
=ARRAYFORMULA({'Source data'!A3:A,'Source data'!B3:B,IFERROR('Source data'!A3:A/0)})
This creates an array consisting of the two original columns A and B from the source data, plus an additional third column filled with blank values. This array can now be queried upon, and using the tricks previously provided by #basic the desired result as specified in the original question can be achieved.
Due to the query now being used upon a user-defined array, the columns in the SELECT statement now have to be referred to as Col1, Col2, Col3, instead of A, B, C. The final formula now looks like this.
=QUERY(ARRAYFORMULA({'Source data'!A3:A,'Source data'!B3:B,IFERROR('Source data'!A3:A/0)}),"SELECT Col1,Col2,'Test',Col3,'"&'Source data'!A1&"' WHERE Col1 IS NOT NULL LABEL 'Test' '','"&'Source data'!A1&"' ''")
I hope this information may prove of use to someone else as well.
I have one column in google sheet with unique values. I then want to match this column to two separate columns. See google sheet below for an example. I want the output in column "B".
[https://docs.google.com/spreadsheets/d/10AOYlqsScoDUfcOaJd2opjjC_8zXSOP3_HBTOCCrb6U/edit#gid=0][1]
You can use maxifs:
=maxifs($F$4:$H$14,$E$4:$G$14,A4)
A longer approach could be the following:
=max(vlookup(A4,$E$4:$F$14,2,false),vlookup(A4,$G$4:$H$14,2,false))
try:
=QUERY(FLATTEN(F4:F14, H4:H14), "where Col1 is not null")
I am using PostgreSQL 9.5.14, and have a column in a table that contains JSON arrays that I need to parse for their contents.
Using a select I can see that the structure of the JSON is of this kind:
SELECT rule_results from table limit 5;
Result:
[{"rule_key":"applicant_not_lived_outside_eu"},{"rule_key":"family_assets_exceed_limit"},{"rule_key":"owned_a_deed"}]
[]
[]
[{"rule_key":"family_category","details":"apply_with_parents_under_25"}]
[]
I have been unable to create an SQL command to give me the values of the rule_key keys.
I've attempted to use the documentation for json-functions in postgresql to find a solution from
https://www.postgresql.org/docs/9.5/functions-json.html
SELECT rule_results::json->'rule_key' as results from table;
This gives me null values only.
SELECT jsonb_object_keys(rule_results::jsonb) from table;
This results in the error msg "cannot call jsonb_object_keys on a scalar", which seems to mean that the query is limited to a single row.
This looks simple enough, an array with key:value pairs, but somehow the answer eludes me. I would appreciate any help.
demo: db<>fiddle
Different solutions are possible. It depends on what you are expecting finally. But all solutions would use the function json_array_elements(). This expands every element into one row. With that you can do whatever you want.
This results in one row per value:
SELECT
value -> 'rule_key'
FROM
data,
json_array_elements(rule_results)
So I have a hive external table with schema looks like this :
{
.
.
`x` string,
`y` ARRAY<struct<age:string,cId:string,dmt:string>>,
`z` string
}
So basically I need to query a column(column "y") which is array of nested json,
I can see data of column "y" from hive, but data in that column seems invisible to presto, even though presto knows schema of this field, like this:
array(row(age varchar,cid varchar,dmt varchar))
As you can see presto already knows this field is array of row.
Notes:
1.The table is a hive external table.
2.I get schema of field "y" by using ODBC driver, but data is just all empty, however I can see something like this in hive :
[{"age":"12","cId":"bx21hdg","dmt":"120"}]
3.Presto queries hivemetastore for schema.
4.Table was stored as parquet format.
So how can I see my data in field "y" please?
Please try the below. This should work in Presto.
"If the array element is a row data type, the result is a table with one column for each row field in the element data type. The result table column data types match the corresponding array element row field data types"
select
y,age,cid,dmt
from
table
cross join UNNEST(y) AS nested_data(age,cid,dmt)
Reference: https://www.ibm.com/support/knowledgecenter/en/SSEPGG_10.5.0/com.ibm.db2.luw.sql.ref.doc/doc/r0055064.html
Using a ssrs 2005 matrix client side. I want to list the multiple addresses of one person, hence one row, multiple columns. The Column field is =Fields!StreetName.Value. The data details field is =First(Fields!StreetPrefix.Value) & " " & First(Fields!StreetName.Value). The datasource has a row for each address; however, some rows will have nulls since the datasource is composed of outer joins.
The column grouping works, but the first column is always empty, (first 2 rows of datasource are null) addresses appear only after the empty column. I want to filter out nulls on the matrix, but its like the filter is ignored. I have also tried having the dataset return an empty string for a null streetname and setting the filter to =Fields!StreetName.Value != ="" but no difference.
What am I missing?
Is it not better that you filter your rows in your query? maybe this solution is better.
Have you got the filer in the right place? You can put it on the matrix and on the group.