Writing a Reporting Service (2005) report
My DataSet returns something like this:
DESCRIPTION COUNT
Total Properties 12345
Demolished 1243
Non-Demolished 11102
:
:
I have this displayed as a table and this is fine.
Now I also want to display the data like this:
[ 12345 ] Total Properties
/ \
/ \
Non-Demolished [ 11102 ] [ 1243 ] Demolished
I can add the text-boxes and lines but what expression do I need to fill in the values?
Need somethig that returns the count based on a match to the description in the row.
Here is the way to do it.
First(Fields!FieldName.Value,"DataSetName")
Maybe you could do something like this:
=Iif(Fields!Description.Value = "Demolished", Fields!Count.Value, "Value not found")
Related
I'm trying to select the SerialNumber of a specific AWS MFADevice for different profiles.
This command returns the list of MFADevices for a certain profile:
aws iam list-mfa-devices --profile xxx
and this is a sample JSON output:
{
"MFADevices": [
{
"UserName": "foobar#example.com",
"SerialNumber": "arn:aws:iam::000000000000:mfa/foo",
"EnableDate": "2022-12-06T16:23:41+00:00"
},
{
"UserName": "barfoo#example.com",
"SerialNumber": "arn:aws:iam::111111111111:mfa/bar_cli",
"EnableDate": "2022-12-12T09:13:10+00:00"
}
]
}
I would like to select the SerialNumber of the device containing the string cli. But in case there is only one device in the list (regardless of the presence or absence of the string cli), I'd like to get its SerialNumber.
I have this expression which already filters for the first condition, namely the desired string:
aws iam list-mfa-devices --profile xxx --query 'MFADevices[].SerialNumber | [?contains(#,`cli`)] | [0]'
However I still haven't been able to figure out how to add the if number_of_devices == 1 then return the serial of that single device.
I can get the number of MFADevices with this command:
aws iam list-mfa-devices --profile yyy --query 'length(MFADevices)'
And as a first step towards my final solution I wanted to initially get the SerialNumber only in the case the list has exactly one element, so, I thought of something like this:
aws iam list-mfa-devices --profile yyy --query 'MFADevices[].SerialNumber | [?length(MFADevices) ==`1`]'
but actually already at this stage I get the error below (left alone the fact that I still need to combine it with the cli part):
In function length(), invalid type for value: None, expected one of: ['string', 'array', 'object'], received: "null"
Does anybody know how to achieve what I want?
I know that I could just pipe the raw output to jq and do the filtering there, but I was wondering if there is a way to do it directly in the command using some JMESPath expression.
In order to do those kind of condition in JMESPath you will have to rely on logical or (||) and logical and (&&), because the language does not have a conditional keyword, per se.
So, in pseudo-code, instead of doing:
if length(MFADevices) == 1
MFADevices[0]
else
MFADevices[?someFilter]
You have to do, like in bash:
length(MFADevices) == 1 and MFADevices[0] or MFADevices[?someFilter]
So, in JMESPath:
length(MFADevices) == `1`
&& MFADevices[0].SerialNumber
|| (MFADevices[?contains(SerialNumber, `cli`)] | [0]).SerialNumber
Note: this assumes that, if there are more than one element but none contains cli, we should get null.
If you want the first element, even when there are multiple devices and the SerialNumber does not contains cli, then you can simplify it further and simply do a logical or, when the contains filter return nothing (as a null result will evaluates to false):
(MFADevices[?contains(SerialNumber, `cli`)] | [0]).SerialNumber
|| MFADevices[0].SerialNumber
With stedolan/jq you can filter for the substring and unconditonally add the first, then take the first of them:
.MFADevices | map(.SerialNumber) | first((.[] | select(contains("cli"))), first)
Demo
or
[.MFADevices[].SerialNumber] | map(select(contains("cli"))) + .[:1] | first
Demo
Output:
arn:aws:iam::111111111111:mfa/bar_cli
I have made a query on a data and it returns a result:
[ RowDataPacket { 'COUNT(t.id)': 2 } ]
How can I access it like the count number?
I have tried result.COUNT(t.id) but it isn't worked.
The way the object is named, you need to access it like so:
result[0]["COUNT(t.id)"]
I would rather name the columns explicitly by using aliases in the query:
select count(t.id) as count_of_id
from ...
I want to use the syntax to substitute "#N/A" instead of the calculated value 0, but "" is not displayed in the csv file in NetLogo 6.0.3 (This is displayed ⇒ #N/A. I want to calculate the average value by mixing "#N/A" with numerical data in Excel, but #N/A is displayed as calculation result. If "#N/A" is displayed as a csv file, it could be calculated with Excel. In NetLogo 6.0.1, this was possible. What should I do with NetLogo 6.0.3?
The "correct" way to do this is to handle it in excel by ignoring N/As in your average. That way, you preserve those values as N/As and so have to be conscious about how you deal with them. You can do this by calculating the average with something like =AVERAGE(IF(ISNUMBER(A2:A5), A2:A5)) and then entering with ctrl+shift+enter instead of just enter. That, of course, is kind of annoying.
To solve it on the netlogo side, report the value "\"#N/A\"" instead of "#N/A". That will preserve the quotes when you import into excel. Alternatively, you could output pretty much any other string other than "#N/A". For instance, reporting "not-a-number" would make it a string, or even just using an empty string. The quotes you see in excel are actually part of the string, not just indicators that the field is a string. In general, fields in CSV don't have a type. Excel just interprets what it can as a number. It treats the exact field of #N/A as special, so modifying it in any way (not just adding quotes around it) will prevent it from interpreting in that special way.
It's also worth noting that this was a bug in previous versions of NetLogo (I'm assuming you're using BehaviorSpace here; the CSV extension has always worked this way). There was no way to output a string without having a quote at the beginning and end of the string. That is, the string value itself would have quotes in it. This behavior is a consequence of fixing it. Now, you can output true #N/A values if you want to, which there was no way of doing before.
Maybe this will work for you. Assuming you have the csv extension enabled:
extensions [ csv ]
You can use a reporter that replaces 0 values in a list (or list of lists) with the string value "#NA" (or "N/A" if you want, but for me #NA is what works with Excel).
to-report replace-zeroes [ list_ ]
if list_ = [] [ report [] ]
let out map [ i ->
ifelse-value is-list? i
[ replace-zeroes i ]
[ ifelse-value ( i != 0 ) [ i ] [ "#NA" ] ]
] list_
report out
end
As a quick check:
to test
ca
; make fake list of lists for csv output
let fake n-values 3 [ i -> n-values 5 [ random 4 ] ]
; replace the 0 values with the NA values
let replaced replace-zeroes fake
; print both the base and 0-replaced lists
print fake
print replaced
; export to csv
csv:to-file "replaced_out.csv" replaced
reset-ticks
end
Observer output (random):
[[0 0 2 2 0] [3 0 0 3 0] [2 3 2 3 1]]
[[#NA #NA 2 2 #NA] [3 #NA #NA 3 #NA] [2 3 2 3 1]]
Excel output:
I am trying to extract data from some JSON with JQ - I have already got it down to the last level of data that I need to extract from, but I am completely stumped as to how to proceed with how this part of the data is formatted.
An example would be:
{
"values": [
[
1483633677,
42
]
],
"columns": [
"time",
"count_value"
],
"name": "response_time_error"
}
I would want to extract just the value for a certain column (e.g. count_value) and I can extract it by using [-1] in this specific case, but I want to select the column by its name in case they change in the future.
If you're only extracting a single value and the arrays will always correspond with eachother, you could find the index in the columns array then use that index into the values array.
It seems like values is an array of rows with those values. Assuming you want to output the values of all rows with the selected column:
$ jq --arg col 'count_value' '.values[][.columns | index($col)]' input.json
If the specified column name does not exist in .columns, then Jeff's filter will fail with a rather obscure error message. It might therefore be preferable to check whether the column name is found. Here is an illustration of how to do so:
jq --arg col count_value '
(.columns | index($col)) as $ix
| if $ix then .values[][$ix] else empty end' input.json
If you want an informative error message to be printed, then replace empty with something like:
error("specified column name, \($col), not found")
I am selecting nodes in a JSON input but can't find a way to include parent object detail for each array entry that I am querying. I am using pentaho data integration to query the data using JSON input form a mongodb input.
I have also tried to create a mongodb query to achieve the same but cannot seem to do this either.
Here are the two fields/paths that display the data:
$.size_break_costs[*].size
$.size_break_costs[*].quantity
Here is the json source format:
{
"_id" : ObjectId("4f1f74ecde074f383a00000f"),
"colour" : "RAVEN-SMOKE",
"name" : "Authority",
"size_break_costs" : [
{
"quantity" : NumberLong("80"),
"_id" : ObjectId("518ffc0697eee36ff3000002"),
"size" : "S"
},
{
"quantity" : NumberLong("14"),
"_id" : ObjectId("518ffc0697eee36ff3000003"),
"size" : "M"
},
{
"quantity" : NumberLong("55"),
"_id" : ObjectId("518ffc0697eee36ff3000004"),
"size" : "L"
}
],
"sku" : "SK3579"
}
I currently get the following results:
S,80
M,14
L,55
I would like to get the SKU and Name as well as my source will have multiple products (SKU/Description):
SK3579,Authority,S,80
SK3579,Authority,M,14
SK3579,Authority,L,55
When I try To include using $.sku, I the process errors.
The end result i'm after is a report of all products and the available quantities of their various sizes. Possibly there's an alternative mongodb query that provides this.
EDIT:
It seems the issue may be due to the fact that not all lines have the same structure. For example the above contains 3 sizes - S,M,L. Some products come in one size - PACK. Other come in multiple sizes - 28,30,32,33,34,36,38 etc.
The error produced is:
*The data structure is not the same inside the resource! We found 1 values for json path [$.sku], which is different that the number retourned for path [$.size_break_costs[].quantity] (7 values). We MUST have the same number of values for all paths.
I have tried the following mongodb query separately which gives the correct results, but the corresponding export of this doesn't work. No values are returned for the Size and Quantity.
Query:
db.product_details.find( {}, {sku: true, "size_break_costs.size": true, "size_break_costs.quantity": true}).pretty();
Export:
mongoexport --db brandscope_production --collection product_details --csv --out Test01.csv --fields sku,"size_break_costs.size","size_break_costs.quantity" --query '{}';
Shortly after I added my own bounty, I figured out the solution. My problem has the same basic structure, which is a parent identifier, and some number N child key/value pairs for ratings (quality, value, etc...).
First, you'll need a JSON Input step that gets the SKU, Name, and size_break_costs array, all as Strings. The important part is that size_break_costs is a String, and is basically just a stringified JSON array. Make sure that under the Content tab of the JSON Input, that "Ignore missing path" is checked, in case you get one with an empty array or the field is missing for some reason.
For your fields, use:
Name | Path | Type
ProductSKU | $.sku | String
ProductName | $.name | String
SizeBreakCosts | $.size_break_costs | String
I added a "Filter rows" block after this step, with the condition "SizeBreakCosts IS NOT NULL", which is then passed to a second JSON Input block. This second JSON block, you'll need to check "Source is defined in a field?", and set the value of "Get source from field" to "SizeBreakCosts", or whatever you named it in the first JSON Input block.
Again, make sure "Ignore missing path" is checked, as well as "Ignore empty file". From this block, we'll want to get two fields. We'll already have ProductSKU and ProductName with each row that's passed in, and this second JSON Input step will further split it into however many rows are in the SizeBreakCosts input JSON. For fields, use:
Name | Path | Type
Quantity | $.[*].quantity | Integer
Size | $.[*].size | String
As you can see, these paths use "$.[*].FieldName", because the JSON string we passed in has an array as the root item, so we're getting every item in that array, and parsing out its quantity and size.
Now every row should have the SKU and name from the parent object, and the quantity and size from each child object. Dumping this example to a text file, I got:
ProductSKU;ProductName;Size;Quantity
SK3579;Authority;S; 80
SK3579;Authority;M; 14
SK3579;Authority;L; 55