s3path | s3path is a pathlib extension for AWS S3 Service | AWS library
kandi X-RAY | s3path Summary
kandi X-RAY | s3path Summary
s3path is a pathlib extension for AWS S3 Service
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Top functions reviewed by kandi - BETA
- Open a file - like object
- Generate keyword arguments for SmartOpen
- Returns the arguments of the given action
- Update kwargs based on configuration
- Get the configuration for a given path
- Initialize setup
- Generate keyword arguments for smart_open
- Return True if this path is the same file
- Returns True if this object is a file
- Returns the file s stat
- Create file
- Checks if the file exists
- Create a directory
- The key of the path
- Returns a stat for the given path
- The bucket name
- Returns the owner of a path
- Unlink an object
- Check if a path exists
- Removes a directory
s3path Key Features
s3path Examples and Code Snippets
Lines of Code : 13License : Strong Copyleft (CC BY-SA 4.0)
CopyglueContext.write_dynamic_frame.from_options(
frame = datasource1,
connection_type = "s3",
connection_options = {
"path": "s3://s3path"
},
format = "csv",
format_options={
"quoteChar": -1,
"separator": "|"
},
transsamplesToDownload = [sample1, sample3, sample18]
pathsToDownload = ['s3://path/to/sample1.bam', 's3://path/to/sample3.bam', 's3://path/to/sample18.bam']
samplesToPaths = dict(zip(samplesToDownload, pathsToDownload))
rule all:
input:!cp /s3/yourfile.zip /content/
>>> data = {'Key1': 'Some Value ', 'Key2': [{'PhoneNumber': '180000000000'}]}
>>> data['Key2'][0]['PhoneNumber']
'180000000000'
>>> with suppress(KeyError, IndexError):
... ph = data[sfdc_password = boto3.client('kms').decrypt(CiphertextBlob=b64decode(os.environ["L_PASSWORD"]))['Plaintext']
try :
sf = Salesforce(username=sfdc_username,
password=sfdc_password.decode("utf-for element in data :
item = data.pop()
<...>
COPY table FROM s3path CREDENTIALS 'aws_iam_role=iam role arn here'
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {
"Service": "redshift.amazonaws.com"
for i in data:
print(i)
for i in data:
print(i['properties']['**productType**'])
with open("Output.txt", 'r') as file:
for line in file:
line = line.strip('\n')
s3path = ("SELECT * FROM parquet.`s3n://bucket{}/loaddate=20170406/part-r-00000-d60b633d-ff49-4515-8cff-ace9faf1b267.csv`") .format(line)
Community Discussions
Trending Discussions on s3path
QUESTION
I am trying to use Spark/Scala in order to "edit" multiple parquet files (potentially 50k+) efficiently. The only edit that needs to be done is deletion (i.e. deleting records/rows) based on a given set of row IDs.
The parquet files are stored in s3 as a partitioned DataFrame where an example partition looks like this:
...ANSWER
Answered 2021-Nov-25 at 17:11s3path and ids parameters that are passed to deleteIDs are not actually strings and sets respectively. They are instead columns.
In order to operate over these values you can instead create a UDF that accepts columns instead of intrinsic types, or you can collect your dataset if it is small enough so that you can use the values in the deleteIDs function directly. The former is likely your best bet if you seek to take advantage of Spark's parallelism.
You can read about UDFs here
QUESTION
I'm trying to manually create a dataset with a type Set column:
...ANSWER
Answered 2021-Nov-25 at 16:16Set is a parametrized type, so when you declare it in your Files case class, you should define what type is inside your Set, like Set[Int] for a set of integers. So your Files case class definition should be:
QUESTION
I am checking if s3 location exists using ListObjectsV2 in python3.
I have use case where it needs to validate file type or extension of s3 object.
...ANSWER
Answered 2021-Nov-07 at 17:54ListObject "Limits the response to keys that begin with the specified prefix." This is exactly what you're seeing, since "folder1/folder2/myObject.csv" starts with "folder1/folder2/myObject."
If you want to see if an object exists, you need an API that operates on a specific object. One such option is to call HeadObject and see if it fails with an invalid key:
QUESTION
I have a dropdown with 2 values (value 1 and value 2) and i have 2 API POST calls . i have one button. what i want is is the value one is selected perform the POST call for value 1 if value 2 is selected perform API post for value 2 and show their respective results. please guide me how to achieve this
MY POST Call:
...ANSWER
Answered 2021-Nov-02 at 08:12I hope this code will solve your issue;
QUESTION
I am trying to load a file in an Amazon S3 bucket using a VPC endpoint. I can upload the file using this code:
...ANSWER
Answered 2021-Oct-25 at 20:10A gateway endpoint is a gateway that is a target for a route in your route table used for traffic destined to either Amazon S3 or DynamoDB.
Gateway endpoints work at the infrastructure level so there is no need to do anything within applications themselves.
As per docs:
If you've already set up access to your Amazon S3 resources from your VPC, you can continue to use Amazon S3 DNS names to access those resources after you've set up an endpoint.
The code you're referencing probably is referring to an Amazon S3 endpoint which also includes the bucket name e.g. mybucket.s3.eu-west-1.amazonaws.com.
As you're specifying the region and bucket name already in your code, you are good to go.
QUESTION
i have created gallery component in vue, which has lightbox with following code
...ANSWER
Answered 2021-Aug-18 at 08:53thank's to Michal Levý's comment I went looking through dev console to see what is actually happenig.
I edited the question to add the first line to the block of code with this important info
QUESTION
I am trying and struggling mightily to write a snakemake pipeline to download files from an aws s3 instance.
Because the organization and naming of my files on s3 is inconsistent, I do not want to use snakemake's remote options. Instead, I use a mix of grep and python to enumerate the paths I want on s3, and put them in a text file:
ANSWER
Answered 2021-Jul-30 at 06:57You could create a dictionary that maps samples to aws paths and use that dictionary to download files one by one. Like:
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
Given a valid Amazon S3 path that specifies which bucket, which file to get version ID, how can I get the latest version ID using AWS SDK JAVA API?
I tried to search API in https://sdk.amazonaws.com/java/api/latest/, but did not find API that returns a VersionID.
The function signature is String getLatestVersionID(String S3Path);
Thx
...ANSWER
Answered 2021-Jun-10 at 19:33You can set the version Id value by invoking the GetObjectRequest objects versionId method. Here is the code for this:
QUESTION
After performing joins and aggregation i want the output to be in 1 file and partition based on some column. when I use repartition(1) the time taken by job is 1 hr and if I remove preparation(1) there will be multiple partitions of that file it takes 30 mins (refer to example below). So is there a way to write data into 1 file ??
...ANSWER
Answered 2021-Mar-22 at 14:16Instead of using df.repartition(1)
USE df.repartition("choice")
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install s3path
You can use s3path 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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