How to use GroupBy in Google Dataflow pipeline to write to GCS?
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We are using Google Dataflow (Streaming Pipeline usecase) to process PubSub messages which need to be converted to a particular string format and then written to text files per group (group id is part of the PubSub message) into the respective folders for that group on Google Cloud Storage.
e.g. PubSub messages are as follows:
M1: {"info":"account:1,group:2,user:35", "accessId":123}
M2: {"info":"account:2,group:4,user:23", "accessId":123}
We are using custom transform to convert message to the required string format for each message. Post that we are able to write the strings to a single directory after a window duration. However, how can we Group By group id to write the M1 into Directory 1 on GCS and M2 on Directory 2 on GCS.
Google Dataflow version: 2.5+
Language: Java
Please let me know if you need more information.
Thanks
google-cloud-platform google-cloud-dataflow
add a comment |
We are using Google Dataflow (Streaming Pipeline usecase) to process PubSub messages which need to be converted to a particular string format and then written to text files per group (group id is part of the PubSub message) into the respective folders for that group on Google Cloud Storage.
e.g. PubSub messages are as follows:
M1: {"info":"account:1,group:2,user:35", "accessId":123}
M2: {"info":"account:2,group:4,user:23", "accessId":123}
We are using custom transform to convert message to the required string format for each message. Post that we are able to write the strings to a single directory after a window duration. However, how can we Group By group id to write the M1 into Directory 1 on GCS and M2 on Directory 2 on GCS.
Google Dataflow version: 2.5+
Language: Java
Please let me know if you need more information.
Thanks
google-cloud-platform google-cloud-dataflow
Hi @Dragon, I have exactly the same requirement. Did you end up solving this?
– Pega88
Feb 16 at 16:48
add a comment |
We are using Google Dataflow (Streaming Pipeline usecase) to process PubSub messages which need to be converted to a particular string format and then written to text files per group (group id is part of the PubSub message) into the respective folders for that group on Google Cloud Storage.
e.g. PubSub messages are as follows:
M1: {"info":"account:1,group:2,user:35", "accessId":123}
M2: {"info":"account:2,group:4,user:23", "accessId":123}
We are using custom transform to convert message to the required string format for each message. Post that we are able to write the strings to a single directory after a window duration. However, how can we Group By group id to write the M1 into Directory 1 on GCS and M2 on Directory 2 on GCS.
Google Dataflow version: 2.5+
Language: Java
Please let me know if you need more information.
Thanks
google-cloud-platform google-cloud-dataflow
We are using Google Dataflow (Streaming Pipeline usecase) to process PubSub messages which need to be converted to a particular string format and then written to text files per group (group id is part of the PubSub message) into the respective folders for that group on Google Cloud Storage.
e.g. PubSub messages are as follows:
M1: {"info":"account:1,group:2,user:35", "accessId":123}
M2: {"info":"account:2,group:4,user:23", "accessId":123}
We are using custom transform to convert message to the required string format for each message. Post that we are able to write the strings to a single directory after a window duration. However, how can we Group By group id to write the M1 into Directory 1 on GCS and M2 on Directory 2 on GCS.
Google Dataflow version: 2.5+
Language: Java
Please let me know if you need more information.
Thanks
google-cloud-platform google-cloud-dataflow
google-cloud-platform google-cloud-dataflow
asked Nov 29 '18 at 1:19
DragonDragon
99214
99214
Hi @Dragon, I have exactly the same requirement. Did you end up solving this?
– Pega88
Feb 16 at 16:48
add a comment |
Hi @Dragon, I have exactly the same requirement. Did you end up solving this?
– Pega88
Feb 16 at 16:48
Hi @Dragon, I have exactly the same requirement. Did you end up solving this?
– Pega88
Feb 16 at 16:48
Hi @Dragon, I have exactly the same requirement. Did you end up solving this?
– Pega88
Feb 16 at 16:48
add a comment |
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Hi @Dragon, I have exactly the same requirement. Did you end up solving this?
– Pega88
Feb 16 at 16:48