Graph/6ded1aa1-54e6-42e3-ae85-6c970576a031

Domainunvalidated

ETL

6ded1aa1-54e6-42e3-ae85-6c970576a031

ETL

Node Details

Public graph metadata

Updated4/30/2026

PageRank0.0002

Effectiveness0.000

Connections

25 linked nodes

PERTAIN_TOProblem

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.

PERTAIN_TOProblem

when I use Data Conversion Parameters like `EMPTYASNULL` it loads both blanks and nulls as NULL — load blank values as blank and null values as null from a CSV using COPY command in Redshift. Tension: I am expecting blank value in the column for row (with extra='B') but seems like every thing is loaded as null. Outcome: How do I make it blank?

PERTAIN_TOSolution

You want to use the "NULL AS" parameter to COPY. — If you really need to distinguish between ,, and ,"",. Tension: you will need to not use CSV, read the quotes in and post-process your data. Outcome: "NULL AS" is likely the easier path.

PERTAIN_TOSolution

view an object's S3 Intelligent Tiering access tier through an S3 Inventory report — Configure S3 Inventory. Tension: This can be enabled on a bucket or prefix level and is generated on a daily or weekly frequency. Outcome: download the file from the S3 Inventory output location and parse if locally or query it via Athena.

PERTAIN_TOProblem

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

PERTAIN_TOSolution

Use S3 Metadata tables and query e_tag with Athena or another Iceberg-compatible tool to locate duplicate objects

PERTAIN_TOProblem

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:.

PERTAIN_TOSolution

Using a larger warehouse (large, x-large) should parallelize the bulk loading operation. — The X-SMALL warehouse has limited computing capacity. Tension: a limited number of files are ingested concurrently. Outcome: Using a larger warehouse (large, x-large) should parallelize the bulk loading operation.

PERTAIN_TOSolution

In Snowflake docs, there is a step to load history using bulk load. — Regarding why you cannot load the historical files using SnowPipe. Tension: Snowflake doesn't have information on files created before SQS notifications are made. Outcome: Please refer to this docs https://docs.snowflake.com/en/user-guide/data-load-snowpipe-auto-s3#step-5-load-historical-files.

PERTAIN_TOProblem

not able to find New line delimiter enabling option — In the firehose stream with S3 as the destination. Tension: what is the terraform equivalent parameter for enabling "New line delimiter". Outcome: For Terraform in HCL, this would be:.

PERTAIN_TOSolution

"ParameterName": "Delimiter", "ParameterValue": "\n". Tension: what is the terraform equivalent parameter for enabling "New line delimiter". Outcome: parameter_value = "\\n".

PERTAIN_TOProblem

could not find way how to provide this file pattern in python script — AWS Glue ETL job python script. Tension: it should generate the files in s3 bucket with pattern `dostrp*.csv.gz`. Outcome: Use pandas :.

PERTAIN_TOSolution

Use pandas : — Convert DynamicFrame to Pandas DataFrame. Tension: Define the S3 path for the output file. Outcome: Upload the buffer to S3.

PERTAIN_TOProblem

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.

PERTAIN_TOSolution

if you no longer require files in the s3. Outcome: if you no longer require files in the s3 you can remove them afaik.

PERTAIN_TOProblem

There is no official numbers provided by AWS. — decide between Python jobs and spark jobs. Tension: Can someone specify in numbers, what is the approximate value of datasets which we should be considering for selecting AWS Glue Python shell jobs rather than spark jobs? Outcome: use just Python jobs if the simple set of transformations are required and one doesn't need horizontal or vertical scaling for the compute.

PERTAIN_TOSolution

If your job is simple and can be solved using vanilla python, you should choose that. — AWS Glue ETL job to update data stored in S3 Objects to an existing table in DDB. Tension: There is no official numbers provided by AWS. Outcome: Also consider using packages i.e. Pandas, PyArrow etc. for performance improvement.

PERTAIN_TOProblem

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.

PERTAIN_TOSolution

Use AWS DMS. Tension: It solves the schema port issue. Outcome: there are ways to configure it to run as CDC if you have access to enough data.

PERTAIN_TOProblem

DMS creates new table — I am going to use DMS service to move data to dynamo db. Tension: i want data in the old table. Outcome: You should use AWS Glue for this.

PERTAIN_TOProblem

related_player_id 12 non-null float64 — trying to load it to a Postgres database. Tension: This has been fine for most of the tables, but the final assignment table is causing me problems. Outcome: bigint out of range.

PERTAIN_TOSolution

if it's db-first.

PERTAIN_TOAnswer

The issue likely stems from the `pageRank` algorithm not detecting any meaningful connections between nodes, resulting in all scores being `0.0`, which prevents landmark promotion. Ensure the graph has edges connecting `Problem`, `Solution`, and `RootCause` nodes to enable propagation. Verify the ETL pipeline correctly creates edges and that the `pageRank` configuration includes appropriate parameters like `iterations` and `topK`. Example: `CALL gds.pageRank.stream('graphName', { iterations: 20, topK: 10 })`. Check if `Pattern` nodes are missing or not connected, as they are required for landmark detection.

PERTAIN_TOProblem

pageRank scores all returned 0.0 despite nodes existing — Neo4j AuraDB with GDS plugin. Tension: The GDS pipeline ran without errors. Outcome: the algorithm runs fine but has no edges to propagate scores across.

PERTAIN_TOSolution

Check your GDS projection includes relationship types — After fixing the projection. Tension: pageRank scores are all zero. Outcome: re-run the nightly pipeline: the graph-nightly-pipeline pg-boss job handles pageRank, Louvain, and landmark recomputation in sequence.

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