koo created CASSANDRA-21587:
-------------------------------

             Summary: Megamorphic call in 
ClusteringPrefix.Deserializer.deserializeOne slows down reads
                 Key: CASSANDRA-21587
                 URL: https://issues.apache.org/jira/browse/CASSANDRA-21587
             Project: Apache Cassandra
          Issue Type: Improvement
            Reporter: koo


=== DESCRIPTION ===
h2. Problem
{\{ClusteringPrefix.Deserializer.deserializeOne()}} reads one clustering 
component at a
time. It is the inner loop of a partition scan, so it runs very often. It has 
this line
(ClusteringPrefix.java:674 on cassandra-5.0, :725 on trunk):

{code:java}
serializationHeader.clusteringTypes().get(i).readArray(in, 
DatabaseDescriptor.getMaxValueSize())
{code}

{\{clusteringTypes()}} returns a \{{java.util.List}}, so \{{get(i)}} is an 
interface call.
Three classes can arrive here:

|| Where the header comes from || Class of the list ||
| sstable Stats component read from disk | \{{java.util.ArrayList}} |
| flush or compaction, 1 clustering column | \{{SingletonImmutableList}} |
| flush or compaction, 2 or more clustering columns | \{{RegularImmutableList}} 
|

The first comes from \{{AbstractTypeSerializer.deserializeList()}}
(\{{new ArrayList<>(size)}}). The other two come from 
\{{ClusteringComparator.subtypes()}}
(\{{ImmutableList.copyOf(...)}}), which returns a different class for size 1 
and size 2+.

HotSpot can inline one or two receiver classes. With three it gives up and uses 
an itable
stub, which costs much more than the work itself. \{{get(i)}} is only one array 
load.

{\{ClusteringComparator}} already has the comment
{\{// copy the list to ensure despatch is monomorphic}}, but it does not hold 
today.

h3. Numbers

Production node, async-profiler, 120s, 97,036 CPU samples:

| \{{deserializeOne}} (inclusive) | 4,869 | 5.0% of all CPU |
| itable stub from that one line | 608 | 0.63% of all CPU |

About *1/8 of the CPU spent in \{{deserializeOne}} is only dispatch*, not real 
work.

JMH benchmark with the receiver count controlled:

| 3 classes | 1129.1 +- 17.1 ns/op |
| 2 classes | 981.4 +- 34.8 ns/op |
| 1 class | 934.7 +- 27.4 ns/op |

Three to two is *13.1% faster*, and the intervals do not overlap.

h2. Fix

*Option 1 - one file, four lines.* Make 
\{{AbstractTypeSerializer.deserializeList()}} return
an immutable list. The return type stays \{{List}}, so nothing else changes.

{code:java}
-    List<AbstractType<?>> types = new ArrayList<>(size);
+    ImmutableList.Builder<AbstractType<?>> types = 
ImmutableList.builderWithExpectedSize(size);
     for (int i = 0; i < size; i++)
         types.add(deserialize(in));
-    return types;
+    return types.build();
{code}

*Option 2 - type the chain as \{{ImmutableList}}* (\{{ClusteringComparator}},
{\{SerializationHeader}}, the clustering serializers, \{{Slice}}, \{{Slices}},
{\{IndexInfo}}, \{{StatsMetadata}}; about 12 files, all mechanical).  
It could stop the same mistake from coming back.

We suggest Option 1 first, and Option 2 as a follow-up if people want the type 
safety.

h2. Notes

* We see this on a cluster we run in production on 5.0.8, not only in the 
profile.
* The same code is on trunk; only line numbers differ.



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