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Graph/awswrangler

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awswrangler

awswrangler

awswrangler

Node Details

Public graph metadata

Updated4/30/2026

PageRank0.0001

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6 linked nodes

AFFECTSRootCause

when I test the Lambda function using the S3-put option. Tension: This is not the expected result. Outcome: I suspect there might be an issue with my Lambda function.

with some 10M objects which all needs to be processed and sent to opensearch. Tension: the function will timeout by the time the for loop is exhausted. Outcome: I would think the function will timeout by the time the for loop is exhausted.

AFFECTSRootCause

The Pandas data frame (df) is fully loaded in memory then pushed to S3 by wrangler. Tension: The Pandas data frame (df) is fully loaded in memory.

REQUIRESSolution

Please review my Lambda function code and help me identify the issue? — I have verified the environment variables, IAM permissions, and the input event JSON. Outcome: I suspect there might be an issue with my Lambda function.

REQUIRESSolution

moving data from CSVs, S3, and other locations into OpenSearch. Tension: can iterate over chunks of S3 items. Outcome: wr.opensearch.index_df(client=my_client, df=items).

REQUIRESSolution

It is possible to read the data in small chunks as it is available in `read_sql` function. — I would like to chunk the data frame and pass those chunks to a process. Tension: I don't think it's possible with parquet. Outcome: for i, chunk in enumerate(chunks): print(f"Processing chunk {i+1}") write_parquet_chunk(chunk, path).

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