Currently, using API to collect JSON file. I have managed to extract this output as I demonstrated below.
And now I'm on the stage, that I have JSON extraction and need to make in the way that BQ will accept it. Without too much manipulation ( as this output potentially will be loaded on the daily bases.
{
"stats": [{
"date": "2018-06-17T00:00:00.000Z",
"scores": {
"my-followers": 8113,
"my-listed": 15,
"my-favourites": 5289,
"my-followings": 230,
"my-statuses": 3107
}
}, {
"date": "2018-06-18T00:00:00.000Z",
"scores": {
"my-statuses": 3107,
"my-followings": 230,
"my-lost-followings": 0,
"my-new-followers": 0,
"my-new-statuses": 0,
"my-listed": 15,
"my-lost-followers": 5,
"my-followers": 8108,
"my-favourites": 5288,
"my-new-followings": 0
}
}
.....
],
"uid": "123456789"
}
ANy help will be appreciated.
Currently I have this error:
Errors:
query: Invalid field name "my-new-followings". Fields must contain only letters, numbers, and underscores, start with a letter or underscore, and be at most 128 characters long. Table: link_t_perf_test1_b58d4465_3a31_40cb_987f_9fb2d1de29dc_source (error code: invalidQuery
Even when "my-new-followings" contain only integer (up to 5 digit) number.
Related
I'm trying to open a bunch of JSON files using read_json In order to get a Dataframe as follow
ddf.compute()
id owner pet_id
0 1 "Charlie" "pet_1"
1 2 "Charlie" "pet_2"
3 4 "Buddy" "pet_3"
but I'm getting the following error
_meta = pd.DataFrame(
columns=list(["id", "owner", "pet_id"]])
).astype({
"id":int,
"owner":"object",
"pet_id": "object"
})
ddf = dd.read_json(f"mypets/*.json", meta=_meta)
ddf.compute()
*** ValueError: Metadata mismatch found in `from_delayed`.
My JSON files looks like
[
{
"id": 1,
"owner": "Charlie",
"pet_id": "pet_1"
},
{
"id": 2,
"owner": "Charlie",
"pet_id": "pet_2"
}
]
As far I understand the problem is that I'm passing a list of dicts, so I'm looking for the right way to specify it the meta= argument
PD:
I also tried doing it in the following way
{
"id": [1, 2],
"owner": ["Charlie", "Charlie"],
"pet_id": ["pet_1", "pet_2"]
}
But Dask is wrongly interpreting the data
ddf.compute()
id owner pet_id
0 [1, 2] ["Charlie", "Charlie"] ["pet_1", "pet_2"]
1 [4] ["Buddy"] ["pet_3"]
The invocation you want is the following:
dd.read_json("data.json", meta=meta,
blocksize=None, orient="records",
lines=False)
which can be largely gleaned from the docstring.
meta looks OK from your code
blocksize must be None, since you have a whole JSON object per file and cannot split the file
orient "records" means list of objects
lines=False means this is not a line-delimited JSON file, which is the more common case for Dask (you are not assuming that a newline character means a new record)
So why the error? Probably Dask split your file on some newline character, and so a partial record got parsed, which therefore did not match your given meta.
1) There is a CSV file containing the following information (the first row is the header):
first,second,third,total
1,4,9,14
7,5,2,14
3,8,7,18
2) I would like to find the sum of individual rows and generate a final file with a modified header. The final file should look like this:
[
{
"first": 1,
"second": 4,
"third": 9,
"total": 14
},
{
"first": 7,
"second": 5,
"third": 2,
"total": 14
},
{
"first": 3,
"second": 8,
"third": 7,
"total": 18
}
]
But it does not work and I am not sure how to fix this. Can anyone provide me an understanding on how to approach this problem?
NiFi flow:
Although i'm not into Python, by just googling around i think this might do it:
import csv
with open("YOURFILE.csv") as f:
reader = csv.DictReader(f)
data = [r for r in reader]
import json
with open('result.json', 'w') as outfile:
json.dump(data, outfile)
You can use Query Record processor and add new property as
total
select first,second,third,first+second+third total from FLOWFILE
Configure the CsvReader controller service with matching avro schema with int as datatype for all the fields and Json Setwriter controller service,Include total field name so that the output from Query Record processor will be all the columns and the sum of the columns as total.
Connect total relationship from Query Record processor for further processing
Refer to these links regarding Query Record and Configure Record Reader/Writer
Im pulling a list of AMI ids from my AWS account and its being written into a json file.
The json looks basically like this:
{
"Images": [
{
"CreationDate": "2017-11-24T11:05:32.000Z",
"ImageId": "ami-XXXXXXXX"
},
{
"CreationDate": "2017-11-24T11:05:32.000Z",
"ImageId": "ami-aaaaaaaa"
},
{
"CreationDate": "2017-10-24T11:05:32.000Z",
"ImageId": "ami-bbbbbbb"
},
{
"CreationDate": "2017-10-24T11:05:32.000Z",
"ImageId": "ami-cccccccc"
},
{
"CreationDate": "2017-12-24T11:05:32.000Z",
"ImageId": "ami-ddddddd"
},
{
"CreationDate": "2017-12-24T11:05:32.000Z",
"ImageId": "ami-eeeeeeee"
}
]
}
My code looks like this so far after gathering the info and writing it to a .json file locally:
#writes json output to file...
print('writing to response.json...')
with open('response.json', 'w') as outfile:
json.dump(response, outfile, ensure_ascii=False, indent=4, sort_keys=True, separators=(',', ': '))
#Searches file...
print('opening response.json...')
with open("response.json") as f:
file_parsed = json.load(f)
The next part im stuck on is how to iterate through the file and print only the CreationDate and ImageId values.
print('printing CreationDate and ImageId...')
for ami in file_parsed['Images']:
#print ami['CreationDate'] #THIS WORKS
#print ami['ImageId'] #THIS WORKS
#print ami['CreationDate']['ImageId']
The last line there gives me this no matter how I have tried it: TypeError: string indices must be integers
My desired output is something like this:
2017-11-24T11:05:32.000Z ami-XXXXXXXX
Ultimately what im looking to do is then iterate through lines that are a certain date or older and deregister those AMIs. So would I be converting these to a list or a dict?
Pretty much not a programmer here so dont drown me.
TIA
You have almost parsed the json but for the desired output you need to concatenate the 'CreationDate' and 'ImageId' like this:
for ami in file_parsed['Images']:
print(ami['CreationDate'] + " "+ ami['ImageId'])
CreationDate evaluates to a string. So you can only take numerical indices of a string which is why ['CreationDate']['ImageId'] leads to a TypeError. Your other two commented lines, however, were correct.
To check if the date is older, you can make use of the datetime module. For instance, you can take the CreationDate (which is a string), convert it to a datetime object, create your own based on what that certain date is, and compare the two.
Something to this effect:
def checkIfOlder(isoformat, targetDate):
dateAsString = datetime.strptime(isoformat, '%Y-%m-%dT%H:%M:%S.%fZ')
return dateAsString <= targetDate
certainDate = datetime(2017, 11, 30) # Or whichever date you want
So in your for loop:
for ami in file_parsed['Images']:
creationDate = ami['CreationDate']
if checkIfOlder(creationDate, certainDate):
pass # write code to deregister AMIs here
Resources that would benefit would be Python's datetime documentation and in particular, the strftime/strptime directives. HTH!
I have the following file: test.json >
{
"id": 1,
"name": "A green door",
"price": 12.50,
"tags": ["home", "green"]
}
I want to load this file into a RDD. This is what I tried:
rddj = sc.textFile('test.json')
rdd_res = rddj.map(lambda x: json.loads(x))
I got an error:
Expecting object: line 1 column 1 (char 0)
I don't completely understand what does json.loads do.
How can I resolve this problem ?
textFile reads data line by line. Individual lines of your input are not syntactically valid JSON.
Just use json reader:
spark.read.json("test.json", multiLine=True)
or (not recommended) whole text files
sc.wholeTextFiles("test.json").values().map(json.loads)
I keep getting that there is an error uploading/importing my JSON file into Firebase. I initially had an excel spreadsheet that I saved as a CSV file, then I used a CSV to JSON converter.
I validated the JSON file (which have the .json extension) with a couple of online tools.
Though, I'm still getting an error.
Here is an example of my JSON:
{
"Rk": 1,
"Tm": "SEA",
"H/A": "H",
"DOW": "Sun",
"Opp": "CLE",
"QB": "Russell Wilson",
"Grade": "BLUE",
"Def mu pts": 4,
"Inj status": 0,
"Notes": "Got to wonder if not having a proven power RB under center will negatively impact Wilson's production.",
"TFS $50K": "$8,300",
"Init sal": "$8,300",
"Var": "$0",
"WC": 0
}
The issue is your key's..
Firebase keys must be:
UTF-8 encoded, cannot contain . $ # [ ] / or ASCII control characters
0-31 or 127
your $50k key and the H/A are the issues.