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Graph/s3-paginated-metadata-pipeline

Pattern

S3 Listing and Metadata Pipelines

s3-paginated-metadata-pipeline

A recurring data-ingestion shape where large S3 buckets require paginated listing plus event-driven updates, then metadata (tags or custom headers) is queried or used to locate/operate on objects reliably in downstream systems.

Node Details

Public graph metadata

Updated5/1/2026

Connections

30 linked nodes

The job is taking approximately 4 hours to complete — AWS Glue job that processes thousands of small JSON files from S3. Tension: which is unacceptable for our use case. Outcome: The job processes the files but is extremely slow.

the file is remaining in the bucket sometimes with delete markers — when the function runs via the S3 trigger. Tension: If I run the function using the Test button afterwards, it deletes every time. Outcome: I was able to resolve this by using Cloudwatch EventBridge to monitor S3 CreateObject event.

I see a folder structured as follows: xxxxxxxecc-manifest.csv xxxxxxxecc.metadata folder_xxxxxxx/ with 3 xxxxxx.gz files — When creating a table in AWS - Athena with a CTAS statement. Tension: I'm trying to understand how the table is stored in S3 and how I can convert the output to CSV. Outcome: By default, when creating a table in Athena the table type is set to `HIVE`.

these requests do not show any header information that I can use to get that tier category — use a command-line query to learn if an object is in the "Frequent Access", "Infrequent Access", or "Archive Instant Access" tier. Tension: Is there another CLI option for getting this information? Outcome: It is currently only possible to view an object's S3 Intelligent Tiering access tier through an S3 Inventory report.

Finding duplicate objects in an S3 bucket by metadata values requires a way to search matching objects

This isn't possible with s3 sync — I have an S3 bucket which does not have versioning or lifecycle rules set due to a client decision. Tension: we also want to keep a backup of the files that has been worked on in the last 30 days. Outcome: it would be a perfect use case for S3 bucket Event notifications.

Snowpipe will not pick up files that have been modified before 7 days if you refresh the pipe. — I tried building a Snowpipe on top of the s3 bucket. Tension: Therefore, I resorted to bulk loading the files into Snowflake using the COPY INTO statement below:.

I need to access certain S3 buckets programmatically using IAM Roles Anywhere — working on a Spring Boot backend service. Tension: I’m unsure how to use it to create IAM Roles Anywhere sessions and authenticate to access S3.

I want to use AWS DMS to connect to A, B, C databases and make full load/CDC into data lake bucket — different SQL databases from different departments in the org. Tension: how can I identify which files are coming from Source Database A, Source Database B and Source Database C. Outcome: I cannot find information about how to achieve what's in the title of this question.

Old backup objects/versions in an S3 bucket are not being deleted by the lifecycle rule even though the script and visible object listing suggest only the expected recent backups remain.

is not authorized to perform: s3:ListBucket on resource. Tension: I am assuming only s3:GetObject is needed for code. Outcome: What and why there is listing?

Delegation token provider with service name s3-hadoop has multiple implementations

TypeError: data.pipe is not a function — await client.send(new s3.GetObjectCommand(bucketParams)). Tension: I can see that it's saving it to disc, but it's an empty file and also not formatted correctly. Outcome: data.pipe(fs.createWriteStream('example.pdf')).

their data won't be visible from Athena until the projection is updated with `apple,banana,cherry,date` — Parquet files are stored in AWS S3 with prefixes like `/fruit=.../year=.../month=.../day=.../`. Tension: How to keep the Athena partition up to date with the current S3 prefixes?

it is uploaded to the `S3 bucket`, but when checking the file's content, it is empty(blank file). — We have a S3 bucket where we upload some files. Tension: Everything is working fine, but getting blank documents in the S3 bucket. Outcome: it worked.

How can I delete the file from AWS S3 bucket after the pipeline successfully completes? — I am currently running a Pipeline in SingleStore which takes a file from AWS S3 bucket. Tension: modifies the data as per business logic written in a stored procedure and then enters the records in a table.

Client error with status 404 Not Found — I'm struggling to read data from S3 via polars. Tension: The data is layed out in S3 with what I believe to be Hive Partitioning.

understanding the event payload structure passed by EventBridge to my .NET Lambda function — an AWS serverless application using .NET, where I'm configuring a Lambda function to be triggered by S3 events routed through AWS EventBridge. Tension: I'm specifically seeking guidance on understanding the event payload structure passed by EventBridge to my .NET Lambda function and how to process it effectively. Outcome: How can I deserialize and process the event payload within my .NET Lambda function to perform actions based on the S3 event that triggered it?

facing throttling issues (503 errors) — writing to S3, and facing throttling issues (503 errors). Tension: our ingestion service still encounters 503 errors. Outcome: the files are showing right under my bucket at the root level.

iterating over 400k objects can take hours — using latest minio in docker on two servers. Tension: Sometimes it works fine. Outcome: How to speed it up?

copying schema and data across Redshift clusters — Currently working on copying schema and data across Redshift clusters. Tension: This is a little more involved but seems to be more free-form and customizable to my needs. Outcome: Use AWS DMS.

But how can I get the event data when a file is uploading to the S3 bucket? — testing aws lambda python locally with docker. Tension: I want to test it locally and I need the event data. Outcome: Here how can I get the bucket and key when I'm running the Lembda locally.

Uploading to S3 via a presigned PUT URL does not apply the desired object tags even when the server-side PutObjectCommand includes the Tagging parameter.

Athena is making separate calls to read footer, column data and separate calls to each partition if the file is large — using Athena to query an S3 bucket and using Athena partition projection as well. Tension: I use node, date and effective_time_start in query. Outcome: Apparently, this is how parquet works.

the value is nowhere to be seen — I'm trying to create a powershell script to get the Metadata Key/Value pair for a set of s3 files. Tension: I have no problem getting the key. Outcome: This will work:.

I want to use dags from s3 location. How can I do that? — dags_folder = /home/airflow/airflow/dags. Tension: directly pointing to s3 bucket is not supported by airflow. Outcome: It should be possible to mount the s3 bucket as ec2 local directory using mountpoint-s3.

each API call returns a maximum of 1000 objects — Listing objects in a large Amazon S3 bucket. Tension: the list is only updated daily/weekly. Outcome: Use Amazon S3 Inventory, which can provide a daily or weekly CSV file listing all objects.

Do I have to create a new bucket as the destination — created a S3 lifecycle management rule and set it up so it moves all the objects into S3 IA after 30 days. Tension: or AWS manages that part automatically? Outcome: Yes, newly created S3 lifecycle rules do apply to both new and preexisting objects.

aws s3 ls s3://bucketname > out.txt does not efficiently export 10m S3 objects as file URLs

The Pandas data frame (df) is fully loaded in memory then pushed to S3 by wrangler. — I am looking for a way to extract data from a database and push that data into a parquet dataset in S3 in a environment with limited memory. Tension: if the data frame is too big, the operation fails. Outcome: I would like to chunk the data frame and pass those chunks to a process.

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