abhishekrb19 commented on code in PR #19025:
URL: https://github.com/apache/druid/pull/19025#discussion_r2835032942


##########
docs/configuration/index.md:
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@@ -1381,6 +1380,7 @@ Processing properties set on the Middle Manager are 
passed through to Peons.
 |`druid.processing.fifo`|Enables the processing queue to treat tasks of equal 
priority in a FIFO manner.|`true`|
 |`druid.processing.tmpDir`|Path where temporary files created while processing 
a query should be stored. If specified, this configuration takes priority over 
the default `java.io.tmpdir` path.|path represented by `java.io.tmpdir`|
 |`druid.processing.intermediaryData.storage.type`|Storage type for 
intermediary segments of data shuffle between native parallel index tasks. <br 
/>Set to `local` to store segment files in the local storage of the Middle 
Manager or Indexer. <br />Set to `deepstore` to use configured deep storage for 
better fault tolerance during rolling updates. When the storage type is 
`deepstore`, Druid stores the data in the `shuffle-data` directory under the 
configured deep storage path. Druid does not support automated cleanup for the 
`shuffle-data` directory. You can set up cloud storage lifecycle rules for 
automated cleanup of data at the `shuffle-data` prefix location.|`local`|
+|`druid.processing.parallelPoolInit`|Allows all merge/processing pools to be 
allocated in parallel on process launch. This significantly speeds up task 
launch times.|`false`|

Review Comment:
   I imagine most operators would benefit from faster bootstrapping times by 
enabling `parallelPoolInit=true`. What do you think about leaving this config 
undocumented and enabling parallel initialization by default? (I noticed that 
some of our larger clusters currently  take ~1 minute from sequential 
allocation)
   
   From the discussions, it seems there’s some unit test weirdness with 
parallel initialization. I think it'd make sense to just set this to false for 
those tests



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