Prathap Kumar Parvathareddy created BEAM-10148:
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Summary: Data loaded using ReadAllFromText is not projected
properly as side input
Key: BEAM-10148
URL: https://issues.apache.org/jira/browse/BEAM-10148
Project: Beam
Issue Type: Bug
Components: io-py-files
Affects Versions: 2.19.0
Environment: Runner: Dataflow Runner
Beam SDK: Python 2.19
Reporter: Prathap Kumar Parvathareddy
*Context:*
Data Enrichment Pattern with 2 Sources.
Source 1: Google Cloud PubSub delivering JSON messages
Source 2: Google Cloud Storage Files (acts as a Side Input)
*Steps:*
1. Load the data from GCS (Google Cloud Storage) using ReadAllFromText based on
file path inside a PCollection and convert each record as a tuple with 2 fields
2. Project the Tuple loaded in step 1 as a side input using Pvalue.ASDict to
the main input that is being loaded from PubSub.
3. Expectation is that the side inputs should be available but for some reason
AsDict is not containing all the data that was loaded from GCS
*Possible Issues:*
# Window Mismatches - Main Input window is within the scope of Side Input
window.
# Delay in updating Side Input State - Pipeline has just 1 VM and Side Input
has only 8 json messages and total size of side input is around 40 KB
*Troubleshooting:*
# Working fine in a DirectRunner
# Validated that ReadAllFromText transform is loading all the data properly
from multiple files with subsequent transform building KV as well. However when
the output of KV transform is used as a sideinput using ASDict() for some
reason certain elements are skipped and not available inside look up.
*Code*
Will update the link pointing to complete code that provides more visibility
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