I have a lot of data in which is to be written to Database. It can be like an ar

chetany

A Score Level 1

over 7 years ago

I have a lot of data in which is to be written to Database. It can be like an array of 24,000 CDT variables. I want to write it to DB. Now, I have two approaches for this. I can A) Either Write to Database in batches - I can decide a batchSize of 200 and write 200 rows at a time sequentially. This approach will take some time to completely write to DB B) I can use MNI in process models. I will still use batchSize, but now more than one Write to DS smart service will execute simultaneously. This will increase the parallel writes to DB and will also complete the process model quickly.

My question: Will the parallel writes to DB using MNI affect the performance? Also I think it will open too many DB connections to database, so is it a good idea?

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0 atulp over 7 years ago

For best performance rather than taking only 1 of the approaches i would recommend
taking hybrid approach, use MNI but in a controlled way,
You execution of sub process that write the data as MNI that execute one by one.
and pass 10 to 20 data records to the DB write process model and configure the write to DB node as MNI that execute in parallel.

This may be a agreeable solution for your situation.
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0 atulp over 7 years ago

For best performance rather than taking only 1 of the approaches i would recommend
taking hybrid approach, use MNI but in a controlled way,
You execution of sub process that write the data as MNI that execute one by one.
and pass 10 to 20 data records to the DB write process model and configure the write to DB node as MNI that execute in parallel.

This may be a agreeable solution for your situation.
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Vote Up 0 Vote Down

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