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Ivan Tyagov
wendelin
Commits
9be2119a
Commit
9be2119a
authored
Jul 28, 2020
by
Ivan Tyagov
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Update description.
parent
4fd49fc3
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+12
-6
bt5/erp5_wendelin/PathTemplateItem/portal_callables/DataIngestionLine_writeFluentdIngestionToDataStream.py
...es/DataIngestionLine_writeFluentdIngestionToDataStream.py
+8
-3
bt5/erp5_wendelin/PathTemplateItem/portal_callables/DataIngestionLine_writeIngestionToDataStream.py
...callables/DataIngestionLine_writeIngestionToDataStream.py
+4
-3
No files found.
bt5/erp5_wendelin/PathTemplateItem/portal_callables/DataIngestionLine_writeFluentdIngestionToDataStream.py
View file @
9be2119a
"""
This script is used during fluentd ingestion.
It will write data sent from fluentd by unpacking it first and then appending
as a string to respective "Data Stream".
This script is used during fluentd ingestion.
It assumes data comes in msgpack encoded in the following format: mspack(timestamp, data).
It will first unpack the msgpack, then remove the first item of the tuple (timestamp) and
append str(data) to "Data Stream".
Note that what is saved to Data Stream might be different from what fluentd was reading
initially, depending on fluentd plugin configuration. For example fluentd might convert
json to msgpack, then what is saved in Data Stream might be str(python_dict) and not json.
"""
out_stream
[
"Data Stream"
].
appendData
(
''
.
join
([
str
(
c
[
1
])
for
c
in
context
.
unpack
(
data_chunk
)]))
bt5/erp5_wendelin/PathTemplateItem/portal_callables/DataIngestionLine_writeIngestionToDataStream.py
View file @
9be2119a
"""
This script is used during fluentd ingestion.
It will append data sent from fluentd to Wendelin 'as it is' to respective "Data Stream".
By default data will be encoded in MsgPack format.
This script is a general ingestion script which can be used with fluentd or with other http based ingestion tools.
It will append data sent to Wendelin 'as it is' to respective "Data Stream".
Note that by default fluentd data is encoded in msgpack format, this script will not unpack it.
"""
out_stream
[
"Data Stream"
].
appendData
(
data_chunk
)
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