each | A small batch processing utlity | Batch Processing library
kandi X-RAY | each Summary
kandi X-RAY | each Summary
A small batch processing utlity
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- Return a list of work items from a directory
- Return a dict of work items from the input stream
- Return a generator of FileWorkItems from a given directory
- Returns the local file path
each Key Features
each Examples and Code Snippets
Lines of Code : 4License : Strong Copyleft (CC BY-SA 4.0)
Copydf = pd.DataFrame(np.array(data).T)
df = pd.DataFrame(list(map(list, zip(*data))))
def encrypt():
while True:
try:
userinp = input("Please enter the name of a file: ")
file = open(f"{userinp}.txt", "r")
break
except:
print("That File Does Not Exist!")
second = open("encoded.txtdef played_from_start(entry):
entry = str(entry) # Without this, np.nan is a float.
if entry == 'nan' or entry == '':
return 0
if entry.startswith('Bench'):
return 0
if entry == 'Starting':
return 9for name in names:
name.click()
data["age"].append(int(split[2]) <- here
data["age"].append(int(split[2]))
from scipy.optimize import fsolve
from math import exp
def equations(vars):
a, b, c, d, e, f, g, h, i, j, k, l = vars
eq1=a*c*f-0.17142857
eq2=a*c*g-0.296922996
eq3=a*d*f-0.514285714
eq4=a*d*g-0.890768987
eq5=a*e*f-1.542857143df['Diameter(km)'] = df['Radius(km)']*2
print(df)
Number ObjectName DistanceFromEarth(km) Radius(km) Mass(10^24kg) Diameter(km)
0 0 Earth 0.0 6378.1 5.97240 12with self.input().open() as f:
p = XMLParser(huge_tree=True)
tree = parse(f, parser=p)
root = tree.getroot()
# RETURN LIST OF ATTRIBUTE DICTIONARIES
result_values = [dict(n.attrib) for n in root.findall(".//MYTAG")def recCPairDist(points):
if len(points) == 1:
return float('inf')
elif len(points)== 2:
return abs(points[1]-points[0])
else:
mid = len(points) // 2
first_half = points[:mid]
second_halfnumbers = [rd.sample(range(M), K) for _ in range(N)]
Community Discussions
Trending Discussions on Batch Processing
QUESTION
I'm trying to create a lifetime process that batches incoming messages for DB bulk insert.
The new message is coming in 1 at a time, in an irregular interval.
My solution to this would be something like the producer-consumer pattern using BlockingCollection.
Messages are added freely into the BlockingCollection by various events and are taken out of BlockingCollection in bulk for DB insert in regular intervals, 5 seconds.
However, the current solution is fire-and-forget. If the bulk insert failed for any reason, I need a way for the processor to notify the original sources of the failure, because the source contains the logic to recover and retry.
Is there a specific pattern I should be using for what I'm trying to achieve? Any suggestion or help is much appreciated!
...ANSWER
Answered 2022-Mar-19 at 12:59You will have to associate somehow each Message with a dedicated TaskCompletionSource. You might want to make the second a property of the first:
QUESTION
I have a simple batch file with which I want to use the wkhtmltopdf to create PDF files of an archived set of URLs.
The simple command of my batch file for wkhtmltopdf is as follows
...ANSWER
Answered 2022-Mar-13 at 11:17There could be used the following commented batch file:
QUESTION
I wanted to achieve an incremental load/processing and store them in different places using Azure Data Factory after processing them, e.g:
External data source (data is structured) -> ADLS (Raw) -> ADLS (Processed) -> SQL DB
Hence, I will need to extract a sample of the raw data from the source, based on the current date, store them in an ADLS container, then process the same sample data, store them in another ADLS container, and finally append the processed result in a SQL DB.
ADLS raw:
2022-03-01.txt
2022-03-02.txt
ADLS processed:
2022-03-01-processed.txt
2022-03-02-processed.txt
SQL DB:
All the txt files in the ADLS processed container will be appended and stored inside SQL DB.
Hence would like to check what will be the best way to achieve this in a single pipeline that has to be run in batches?
...ANSWER
Answered 2022-Mar-04 at 04:41You can achieve this using a dynamic pipeline as follows:
Create a Config / Metadata table in SQL DB wherein you would place the details like source table name, source name etc.
Create a pipeline as follows:
a) Add a lookup activity wherein you would create a query based on your Config table https://docs.microsoft.com/en-us/azure/data-factory/control-flow-lookup-activity
b) Add a ForEach activity and use Lookup output as an input to ForEach https://docs.microsoft.com/en-us/azure/data-factory/control-flow-for-each-activity
c) Inside ForEach you can add a switch activity where each Switch case distinguishes table or source
d) In each case add a COPY or other activities which you need to create file in RAW layer
e) Add another ForEach in your pipeline for Processed layer wherein you can add similar type of inner activities as you did for RAW layer and in this activity you can add processing logic
This way you can create a single pipeline and that too a dynamic one which can perform necessary operations for all sources
QUESTION
I have a lot of half-hourly files with names in the form A_B_C_YYYYMMDDThhmm_YYYYMMDDThhnn.csv
A, B and C are words
where YYYY is the year in 4 digits,
MM the month in 2 digits,
DD the day of the month in 2 digits,
hh the hour of the day in 2 dgits,
mm the minute in 2 digits,
and nn is mm+30 minutes
How can I move these files into folders based on years and months using Powershell?
I have made an attempt based on a previously used script but it is not producing any output for my filename format, presumably because the match string is wrong:
ANSWER
Answered 2022-Feb-28 at 17:51At first glance, your regex pattern, as you presumed, was not matching your file names. I have changed the pattern a bit, and using [datetime]::ParsedExact(..) to extract the year and month. Haven't tested this previously but I believe it should work.
Needles to say, this code is not handling file collision, if there ever is a file with the same name as one of the files being moved to the destination this will fail.
QUESTION
I am writing a demo C application in batch mode, which will try to read from a file as input.
The command is : metric
The C source file is:
...ANSWER
Answered 2022-Feb-23 at 21:27You misread the doc: instead of scanf("1f", &miles); you should write:
QUESTION
I have three services in place, each of which generate a certain JSON payload (and take different times to do so) that is needed to be able to process a message which is the result of combining all three JSON payloads into a single payload. This final payload in turn is to be sent to another Kafka Topic so that it can then be consumed by another service.
Below you can find a diagram that better explains the problem at hand. The information aggregator service receives a request to aggregate information, it sends that request to a Kafka topic so that Service 1, Service 2 and Service 3 consume that request and send their data (JSON Payload) to 3 different Kafka Topics.
The Information Aggregator has to consume the messages from the three services (Which are sent to their respective Kafka Topics at very different times e.g. Service 1 takes half an hour to respond while service 2 and 3 take under 10 minutes) so that it can generate a final payload (Represented as Aggregated Information) to send to another Kafka Topic.
ResearchAfter having researched a lot about Kafka and Kafka Streams, I came across this article that provides some great insights on how this should be elaborated.
In this article, the author consumes messages from a single topic while in my specific use case I must consume from three different topics, wait for each message from each topic with a certain ID to arrive so that I can then signal my process that it can proceed to consume the 3 messages with the same ID in different topics to generate the final message and send that final message to another Kafka topic (Which then another service will consume that message).
Thought Out SolutionMy thoughts are that I need to have a Kafka Stream checking all three topics and when it sees that has all the 3 messages available, send a message to a kafka topic called e.g. TopicEvents from which the Information Aggregator will be consuming and by consuming the message will know exactly which messages to get from which topic, partition and offset and then can proceed to send the final payload to another Kafka Topic.
QuestionsAm I making a very wrong use of Kafka Streams and Batch Processing?
How can I signal a Stream that all of the messages have arrived so that it can generate the message to place in the TopicEvent so as to signal the Information Aggregator that all the messages in the different topics have arrived and are ready to be consumed?
Sorry for this long post, any pointers that you can provide will be very helpful and thank you in advance
...ANSWER
Answered 2021-Dec-20 at 16:37How can I signal a Stream that all of the messages have arrived
You can do this using Streams and joins. Since joins are limited to 2 topics you'll need to do 2 joins to get the event where all 3 have occurred.
Join TopicA and TopicB to get the event when A and B have occurred. Join AB with TopicC to get the event where A, B and C occur.
QUESTION
When invoking Azure ML Batch Endpoints (creating jobs for inferencing), the run() method should return a pandas DataFrame or an array as explained here
However this example shown, doesn't represent an output with headers for a csv, as it is often needed.
The first thing I've tried was to return the data as a pandas DataFrame and the result is just a simple csv with a single column and without the headers.
When trying to pass the values with several columns and it's corresponding headers, to be later saved as csv, as a result, I'm getting awkward square brackets (representing the lists in python) and the apostrophes (representing strings)
I haven't been able to find documentation elsewhere, to fix this:
...ANSWER
Answered 2021-Nov-30 at 10:09This is the way I found to create a clean output in csv format using python, from a batch endpoint invoke in AzureML:
QUESTION
I'm using Firebase as the backend to my Flutter project. I need to write to multiple nodes in one transaction. Now I have:
...ANSWER
Answered 2021-Oct-19 at 13:35What you are looking for is known as a multi-path write operation, which allows you to write to multiple, non-overlapping paths with a single update call. You can specify the entire path to update for each key, and the database will then set the value you specify at that specific path.
To generate two separate unique keys, you can call push() twice without any arguments. When called like that, it doesn't actually write to the database, but merely generates a unique reference client-side, that you can then get the key from.
Combined, it would look something like this:
QUESTION
I'm performing 2 big for loop tasks on a dataframe column. The context being what I'm calling "text corruption"; turning perfectly structured text into text full of both missing punctuation and misspellings, to mimic human errors.
I found that running 10,000s rows was extremely slow, even after optimizing the for loops.
I discovered a process called Batching, on this post.
The top answer provides a concise template that I imagine is much faster than regular for loop iterations.
How might I use that answer to reimplement the following code? (I added a comment to it asking more about it).
Or; might there be any technique that makes my for loops considerably quicker?
...ANSWER
Answered 2021-Sep-06 at 10:56apply can be used to invoke a function on each row and is much faster than a for loop (vectorized functions are even faster). I've done a few things to make life easier and more performant:
- convert your text file into a dict. This will be more performant and easier to work with than raw text.
- put all the corruption logic in a function. This will be easier to maintain and allows us to use
apply - cleaned up/modified the logic a bit. What I show below is not exactly what you asked but should be easy to adapt.
ok, here is the code:
QUESTION
I am using deployer partition handler for remote partitioning in spring batch. I want to get the status of each worker node at regular intervals and display it to the user. ( Like heartbeats ). Is there any approach to achieve this ?
...ANSWER
Answered 2021-Aug-25 at 07:31This depends on what your workers are doing (simple tasklet or chunk-oriented one) and how they are reporting their progress. Typically, workers share the same job repository as the manager step that launched them, so you should be able to track their StepExecution updates (readCount, writeCount, etc) on that repository using the JobExplorer API.
If you deploy your job on Spring Cloud DataFlow, you can use the Step execution progress endpoint to track the progress of workers.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install each
You can use each like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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