Explore how to write serverless Python functions step-by-step. Learn to build, deploy, and optimize AWS Lambda functions using the Serverless Framework.
aws s3api get-bucket-acl --bucket dev.huge-logistics.com{"Owner":{"DisplayName":"content-images","ID":"b715b8f6aac17232f38b04d8db4c14212de3228bbcaccd0a8e30bde9386755e0"},"Grants":[{"Grantee":{"DisplayName":"content-images","ID":"b715b8f6aac17232f38b04d8db4c14212de3228bbcaccd0...
Source File: utils.py From python_mozetl with MIT License 6 votes def write_csv_to_s3(dataframe, bucket, key, header=True): path = tempfile.mkdtemp() if not os.path.exists(path): os.makedirs(path) filepath = os.path.join(path, "temp.csv") write_csv(dataframe, filepath, header...
Each micro batch processes a bucket by filtering data within the time range. The maxFilesPerTrigger and maxBytesPerTrigger configuration options are still applicable to control the microbatch size but only in an approximate way due to the nature of the processing. The graphic below shows this ...
:param partitions: The number of partitions to use for the calculation. :param output_uri: The URI where the output is written, typically an Amazon S3 bucket, such as 's3://example-bucket/pi-calc'. """ def calculate_hit(_): x = random() * 2 - 1 y = random() * 2 - 1 ...
# 项目相关配置admin-api:# access_key_id 你的亚马逊S3服务器访问密钥IDaccessKey:AAAZKIAWTRDCOOZNINALPHDWN# secret_key 你的亚马逊S3服务器访问密钥secretKey:LAX2DAwi7yntlLnmOQvCYAAGITNloeZQlfLUSOzvW96s5c# bucketname 你的亚马逊S3服务器创建的桶名bucketName:kefu-test-env# bucketname 你的亚马逊S3服...
Each micro batch processes a bucket by filtering data within the time range. The maxFilesPerTrigger and maxBytesPerTrigger configuration options are still applicable to control the microbatch size but only in an approximate way due to the nature of the processing....
library(arrow, warn.conflicts = FALSE) ## local write_csv_arrow(mtcars, file = file) write_csv_arrow(mtcars, file = comp_file) file.size(file) [1] 1303 file.size(comp_file) [1] 567 ## or with s3 dir <- tempfile() dir.create(dir) subdir <- file.path(dir, "bucket") dir....
Create an S3 bucketto store the customer Iceberg table. For this post, we will be using the us-east-2 AWS Region and will name the bucket:ossblog-customer-datalake. Create an IAM role that will be used inOSSSpark for data access using an AWS G...
"location": "s3://bucket/test/location", "last-sequence-number": 34, "last-updated-ms": 1602638573590, "last-column-id": 3, "current-schema-id": 0, "schemas": [ { "type": "struct", "schema-id": 0, "fields": [ { "id": 1, "name": "x", "required": true, "type": ...