amazon | Amazon Dataset Loader | Dataset library
kandi X-RAY | amazon Summary
kandi X-RAY | amazon Summary
For the Review Graph Mining project, this package provides a loader of the Six Categories of Amazon Product Reviews dataset provided by Dr. Wang.
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Top functions reviewed by kandi - BETA
- Run a single method
- Load reviewers
- Print the state of the review
- Load packages from a file
- Read file contents
amazon Key Features
amazon Examples and Code Snippets
Lines of Code : 17License : Permissive (MIT License)
Copyprivate static Dataset normalizeCustomerDataFromAmazon(Dataset rawDataset) {
Dataset transformedDF = rawDataset.withColumn("id", concat(rawDataset.col("zoneId"), lit("-"), rawDataset.col("id")))
.withColumn("source", lit("amazon" private static Dataset ingestCustomerDataFromAmazon() {
return SPARK_SESSION.read()
.format("csv")
.option("header", "true")
.schema(SchemaFactory.customerSchema())
.option("dateFormat", "m/d/YY Community Discussions
Trending Discussions on amazon
QUESTION
I am writing a program in python to have a user input multiple websites then request and scrape those websites for their titles and output it. However, when the program surpasses 8 websites the program crashes every time. I am not sure if it is a memory problem, but I have been looking all over and can't find any one who has had the same problem. The code is below (I added 9 lists so all you have to do is copy and paste the code to see the issue).
...ANSWER
Answered 2021-Jun-15 at 19:45To avoid the page from crashing, add the user-agent header to the headers= parameter in requests.get(), otherwise, the page thinks that your a bot and will block you.
QUESTION
I read this answer, which clarified a lot of things, but I'm still confused about how I should go about designing my primary key.
First off I want to clarify the idea of WCUs. I get that WCU is the write capacity of max 1kb per second. Does it mean that if writing a piece of data takes 0.25 seconds, I would need 4 of those to be billed 1 WCU? Or each time I write something it consumes 1 WCU, but I could also write X times within 1 second and still be billed 1 WCU?
Usage
I want to create a table that stores the form data for a set of gyms (95% will be waivers, the rest will be incidents reports). Most of the time, each forms will be accessed directly via its unique ID. I also want to query the forms by date, form, userId, etc..
We can assume an average of 50k forms per gym
Options
First option is straight forward: having the formId be the partition key. What I don't like about this option is that scan operations will always filter out 90% of the data (i.e. the forms from other gyms), which isn't good for RCUs.
Second option is that I would make the gymId the partition key, and add a sort key for the date, formId, userId. To implement this option I would need to know more about the implications of having 50k records on one partition key.
Third option is to have one table per gyms and have the formId as partition key. This seems to be like the best option for now, but I don't really like the idea of having a a large number of tables doing the same thing in my account.
Is there another option? Which one of the three is better?
Edit: I'm assuming another option would be SimpleDB?
...ANSWER
Answered 2021-May-21 at 20:26For your PK design. What data does the app have when a user is going to look for a form? Does it have the GymID, userID, and formID? If so, make a compound key out of that for the PK perhaps? So your PK might look like:
QUESTION
I have a dataframe:
...ANSWER
Answered 2021-Jun-15 at 12:37The format of df seems weird (data points in columns, not rows).
Below is not the cleanest solution at all:
QUESTION
We are experimenting with Jetbrains Space as our code repo and CI/CD. We are trying to find a way to setup the .space.kts file to deploy to AWS Lambda.
We want the develop branch to publish to the Lambda $Latest and when we merge to the main branch from the develop branch we want it to publish a new Lambda version and link that version to the alias pro.
I've looked around but haven't found anything that would suggest there is a pre-built solution for controlling AWS Lambda so my current thinking is something like this:
...ANSWER
Answered 2021-Jun-15 at 11:09There is no built-in DSL for interacting with AWS.
If you want a solution that is more type-safe than plain shellScript, and maybe reuse data between multiple calls etc, you can still use Kotlin code directly (in a kotlinScript block instead of shellScript).
You can specify maven dependencies for your .space.kts script via the @DependsOn annotation, which you can use for instance to add modules from the AWS Java SDK:
QUESTION
I'm working on an aws/amazon-freertos project. In there I found some unusual error "A stack overflow in task iot_thread has been detected".
Many time I got this error and somehow I managed to remove it by changing the code.
I just want to know what this error means actually?
As per what I know, it simply means that the iot_thread ask stack size is not sufficient. So it's getting overflow.
Is this the only reason why this error comes or can there be another reason for this?
If yes then where should I increase the stack size of the iot_thread task?
Full Log:
...ANSWER
Answered 2021-Jun-14 at 22:05It simply means that the iot_thread ask stack size is not sufficient. [...] Is this the only reason why this error comes or can there be another reason for this?
Either it is insufficient you your stack usage is excessive (due to recursion error or instantiation of instantiation of large objects or arrays. Either way the cause is the same. Whether it is due insufficient stack or excessive stack usage is a matter of design an intent.
If yes then where should I increase the stack size of the iot_thread task?
The stack for a thread is assigned in the task creation function. For a dynamically allocated stack that would be the xTaskCreate() call usStackDepth parameter:
QUESTION
Background
After some struggle I have managed to create a cluster for Amazon DocumentDb. Now I want to write a simple python class that when instantiated returns a client connection and allows me to insert a document. Upon completion of inserting document it closes connection safely.
After some more struggle I managed to get the following to work.
MY CODE
...ANSWER
Answered 2021-Jun-14 at 19:06Without seeing the rest of your code, and only using your code as closely as possible, I came up with this for you:
QUESTION
I have an AWS Step Functions state machine defined in a json file, in step1 (a lambda task), I saved three parameters in the ResultPath:
ANSWER
Answered 2021-Jun-14 at 16:17As the error message implies, the string you pass to
s3path.$is not valid JSONPath. If you want to pass some static value, you need to name it without.$at the end (simplys3path), otherwise, like in your case, it will be treated and validated as a JSONPath.Static params don't support any kind of string expansion to my knowledge, especially involving JSONPath. I would suggest passing param called
s3BucketNamein addition to year, month and day, and then simply construct S3 URL inside lambda function itself.
QUESTION
The regex expression below is for finding valid Amazon Cognito IdentityPool IDs with a test file but using the same expression with grep finds no valid matches yet the regex matches the test strings on https://regextester.com
Regex expression: (us(-gov)?|ap|ca|cn|eu|sa)-(central|(north|south)?(east|west)?)-\d:[0-9a-f-]+ or even simplified like [\w-]+:[0-9a-f-]+.
Both fail for test strings like below yet are matched on Regextester.
ANSWER
Answered 2021-Jun-14 at 15:59You need to change \d and \\d to [0-9] or [[:digit:]] in your regular expression.
Default mode for grep id (iirc) POSIX regex. \d cames from PCRE. If you want to enable \d, you could add -P flag to grep. This enables perl-like regex, where \d is supported. Make sure, that you can't use -E and -P flags at the same time.
QUESTION
I'm pretty new to AWS Lambda functions.
OBJECTIVE:I'm trying to get a .xlsx file from a website and put it on a private Amazon S3 bucket.
The following code leads to a timeout when running the put_object function and I don't know how doing now ... What am I doing wrong? I'm so close...
This code works on our backend to write to a file.
ANSWER
Answered 2021-Jun-14 at 09:42Based on the comments.
The issue was caused by a default lambda timeout of 3 seconds. Increasing the timeout in AWS console was the solution to the problem reported.
QUESTION
I'm using the Ruby SDK for AWS ECS to kick-off a task hosted in Fargate via run_task method. This all works fine with the defaults — I can kick off the task OK and can send along custom command parameters to my Docker container:
ANSWER
Answered 2021-Jun-14 at 09:28This was a bug of the SDK, now fixed (server-side, so doesn't require a library update).
The block of code in the question is the correct way for increasing ephemeral storage via the Ruby SDK:
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