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Posted to reviews@spark.apache.org by "schenksj (via GitHub)" <gi...@apache.org> on 2023/10/03 17:06:56 UTC

[PR] [feature] Allow selective disabling of "fallocate" in RocksDB statestore [spark]

schenksj opened a new pull request, #43202:
URL: https://github.com/apache/spark/pull/43202

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   ### What changes were proposed in this pull request?
   Our spark environment features a number of parallel structured streaming jobs, many of which have use state store.  Most use state store for dropDuplicates and work with a tiny amount of information, but a few have a substantially large state store requiring use of RocksDB.  In such a configuration, spark allocates a minimum of `spark.sql.shuffle.partitions * queryCount` partitions, each of which pre-allocate about 74mb (observed on EMR/Hadoop) disk storage for RocksDB.  This allocation is due to pre-allocation of log files space using [fallocate](https://github.com/facebook/rocksdb/blob/main/include/rocksdb/options.h#L871-L880), requiring users to either unnaturally reduce shuffle partitions, split running spark instances, or allocating a large amount of wasted storage.
   
   This PR provides users with the option to simply disable fallocate so RocksDB uses far less space for the smaller state stores, reducing complexity and disk storage at the expense of performance.
   
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   ### Why are the changes needed?
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   As previously mentioned, these changes allow a spark context to support many parallel structured streaming jobs when using RocksDB state stores without the need to allocate a glut of excess storage.
   
   
   ### Does this PR introduce _any_ user-facing change?
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   Note that it means *any* user-facing change including all aspects such as the documentation fix.
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   Users disable the fallocate rocksdb performance optimization by configuring `spark.sql.streaming.stateStore.rocksdb.allowFAllocate=false`
   
   ### How was this patch tested?
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   1) A few test cases were added
   2) The state store size was validated by running this script with and without fallocate disabled
   
   ```
   from pyspark.sql.types import StructType, StructField, StringType, TimestampType
   import datetime
   
   if disable_fallocate:
      spark.conf.set("spark.sql.streaming.stateStore.rocksdb.allowFAllocate", "false")
   
   spark.conf.set(
       "spark.sql.streaming.stateStore.providerClass",
       "org.apache.spark.sql.execution.streaming.state.RocksDBStateStoreProvider",
   )
   
   
   schema = StructType(
       [
           StructField("one", TimestampType(), False),
           StructField("two", StringType(), True),
       ]
   )
   
   now = datetime.datetime.now()
   data = [(now, y) for y in range(300)]
   init_df = spark.createDataFrame(data, schema)
   
   path = "/tmp/stream_try/test"
   init_df.write.format("parquet").mode("append").save(path)
   
   stream_df = spark.readStream.schema(schema).format("parquet").load(path)
   
   stream_df = stream_df.dropDuplicates(["one"])
   
   
   def foreach_batch_function(batch_df, epoch_id):
       batch_df.write.format("parquet").mode("append").option("path", path + "_out").save()
   
   
   stream_df.writeStream.foreachBatch(foreach_batch_function).option(
       "checkpointLocation", path + "_checkpoint"
   ).start()
   ```
   
   With these results (local run, docker container with small FS)
   ```
   allowFAllocate=True (current default)
   ---------------------
   root@0ef384f699e0:/tmp# du -sh spark-d43a2964-c92a-4d94-9fdd-f3557a651fd9
   808M    spark-d43a2964-c92a-4d94-9fdd-f3557a651fd9
   |
   |-->4.1M        StateStoreId(opId=0,partId=0,name=default)-d59b907c-8004-47f9-a8a1-dec131f73505
   |--> <snip>
   |-->4.1M        StateStoreId(opId=0,partId=199,name=default)-b49a93fe-1007-4e92-8f8f-5767aef41e5c
   
   allowFAllocate=False (new feature)
   ----------------------
   root@0ef384f699e0:/tmp# du -sh spark-00cb768d-2659-453c-8670-4aaf70148041
   
   7.9M    spark-00cb768d-2659-453c-8670-4aaf70148041
   |
   |-->40K StateStoreId(opId=0,partId=0,name=default)-45b38d9c-737b-49b1-bb82-
   |--> <snip>
   |-->40K StateStoreId(opId=0,partId=199,name=default)-28a6cc02-2693-4360-b47a-1f1ab0d54a61
   ```
   
   
   ### Was this patch authored or co-authored using generative AI tooling?
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   No
   


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Re: [PR] [SPARK-45415] Allow selective disabling of "fallocate" in RocksDB statestore [spark]

Posted by "HeartSaVioR (via GitHub)" <gi...@apache.org>.
HeartSaVioR commented on PR #43202:
URL: https://github.com/apache/spark/pull/43202#issuecomment-1758701984

   Thanks! Merged to master.


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Re: [PR] [SPARK-45415] Allow selective disabling of "fallocate" in RocksDB statestore [spark]

Posted by "HeartSaVioR (via GitHub)" <gi...@apache.org>.
HeartSaVioR closed pull request #43202: [SPARK-45415] Allow selective disabling of "fallocate" in RocksDB statestore
URL: https://github.com/apache/spark/pull/43202


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Re: [PR] [feature] Allow selective disabling of "fallocate" in RocksDB statestore [spark]

Posted by "schenksj (via GitHub)" <gi...@apache.org>.
schenksj closed pull request #43202: [feature] Allow selective disabling of "fallocate" in RocksDB statestore
URL: https://github.com/apache/spark/pull/43202


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Re: [PR] [SPARK-45415] Allow selective disabling of "fallocate" in RocksDB statestore [spark]

Posted by "schenksj (via GitHub)" <gi...@apache.org>.
schenksj commented on PR #43202:
URL: https://github.com/apache/spark/pull/43202#issuecomment-1752169061

   @HeartSaVioR - I see you have moderated many commits to this library.  I'd appreciate your thoughts!


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Re: [PR] [SPARK-45415] Allow selective disabling of "fallocate" in RocksDB statestore [spark]

Posted by "HeartSaVioR (via GitHub)" <gi...@apache.org>.
HeartSaVioR commented on code in PR #43202:
URL: https://github.com/apache/spark/pull/43202#discussion_r1355833024


##########
docs/structured-streaming-programming-guide.md:
##########
@@ -2385,6 +2385,11 @@ Here are the configs regarding to RocksDB instance of the state store provider:
     <td>Total memory to be occupied by blocks in high priority pool as a fraction of memory allocated across all RocksDB instances on a single node using maxMemoryUsageMB.</td>
     <td>0.1</td>
   </tr>
+  <tr>
+    <td>spark.sql.streaming.stateStore.rocksdb.allowFAllocate</td>

Review Comment:
   Nice, we can move forward. :)



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Re: [PR] [SPARK-45415] Allow selective disabling of "fallocate" in RocksDB statestore [spark]

Posted by "siying (via GitHub)" <gi...@apache.org>.
siying commented on code in PR #43202:
URL: https://github.com/apache/spark/pull/43202#discussion_r1355420314


##########
docs/structured-streaming-programming-guide.md:
##########
@@ -2385,6 +2385,11 @@ Here are the configs regarding to RocksDB instance of the state store provider:
     <td>Total memory to be occupied by blocks in high priority pool as a fraction of memory allocated across all RocksDB instances on a single node using maxMemoryUsageMB.</td>
     <td>0.1</td>
   </tr>
+  <tr>
+    <td>spark.sql.streaming.stateStore.rocksdb.allowFAllocate</td>

Review Comment:
   Keeping it consistent with RocksDB conf name sounds good to me. All good for me then.



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Re: [PR] [SPARK-45415] Allow selective disabling of "fallocate" in RocksDB statestore [spark]

Posted by "siying (via GitHub)" <gi...@apache.org>.
siying commented on code in PR #43202:
URL: https://github.com/apache/spark/pull/43202#discussion_r1355366397


##########
docs/structured-streaming-programming-guide.md:
##########
@@ -2385,6 +2385,11 @@ Here are the configs regarding to RocksDB instance of the state store provider:
     <td>Total memory to be occupied by blocks in high priority pool as a fraction of memory allocated across all RocksDB instances on a single node using maxMemoryUsageMB.</td>
     <td>0.1</td>
   </tr>
+  <tr>
+    <td>spark.sql.streaming.stateStore.rocksdb.allowFAllocate</td>

Review Comment:
   is it just me that feels that "FAllocate" feels odd to me, why not "allowFallocate?



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Re: [PR] [SPARK-45415] Allow selective disabling of "fallocate" in RocksDB statestore [spark]

Posted by "schenksj (via GitHub)" <gi...@apache.org>.
schenksj commented on code in PR #43202:
URL: https://github.com/apache/spark/pull/43202#discussion_r1355389886


##########
docs/structured-streaming-programming-guide.md:
##########
@@ -2385,6 +2385,11 @@ Here are the configs regarding to RocksDB instance of the state store provider:
     <td>Total memory to be occupied by blocks in high priority pool as a fraction of memory allocated across all RocksDB instances on a single node using maxMemoryUsageMB.</td>
     <td>0.1</td>
   </tr>
+  <tr>
+    <td>spark.sql.streaming.stateStore.rocksdb.allowFAllocate</td>

Review Comment:
   Thank you @siying !  Is it the capitalization that you are finding bothersome?  I carried though the `allowFAllocate` casing from the RocksDB DBOptions class: https://javadoc.io/doc/org.rocksdb/rocksdbjni/6.8.1/org/rocksdb/DBOptions.html#allowFAllocate()
   
   I'm definitely not tied to it, but do like maintaining consistency across the two packages.



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