[GitHub] [hudi] nsivabalan commented on a diff in pull request #5440: [HUDI-3930][Docs] Adding documentation around Data Skipping

[GitBox <gi...@apache.org>]

nsivabalan commented on code in PR #5440:
URL: https://github.com/apache/hudi/pull/5440#discussion_r861409033


##########
website/docs/performance.md:
##########
@@ -60,25 +62,48 @@ For e.g , with 100M timestamp prefixed keys (5% updates, 95% inserts) on a event
 **~7X (2880 secs vs 440 secs) speed up** over vanilla spark join. Even for a challenging workload like an '100% update' database ingestion workload spanning 
 3.25B UUID keys/30 partitions/6180 files using 300 cores, Hudi indexing offers a **80-100% speedup**.
 
-### Snapshot Queries
 
-The major design goal for snapshot queries is to achieve the latency reduction & efficiency gains in previous section,
-with no impact on queries. Following charts compare the Hudi vs non-Hudi tables across Hive/Presto/Spark queries and demonstrate this.
+### Read Path
 
-**Hive**
+#### Data Skipping
+ 
+Data Skipping is a technique (originally introduced in Hudi 0.10) that leverages files metadata to very effectively prune the search space, by 
+avoiding reading (even footers of) the files that are known (based on the metadata) to only contain the data that _does not match_ the query's filters.
 
-<figure>
-    <img className="docimage" src={require("/assets/images/hudi_query_perf_hive.png").default} alt="hudi_query_perf_hive.png"  />
-</figure>
+Data Skipping is leveraging Metadata Table's Column Stats Index bearing column-level statistics (such as min-value, max-value, count of null-values in the column, etc)

Review Comment:
   I guess this is available only for COW right? if yes, should we call that out as well



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