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https://issues.apache.org/jira/browse/HIVE-30059?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated HIVE-30059:
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    Labels: pull-request-available  (was: )

> LLAP IO Cache: native parquet data cache
> ----------------------------------------
>
>                 Key: HIVE-30059
>                 URL: https://issues.apache.org/jira/browse/HIVE-30059
>             Project: Hive
>          Issue Type: Sub-task
>            Reporter: László Bodor
>            Assignee: László Bodor
>            Priority: Major
>              Labels: pull-request-available
>
> Add LLAP data-cache integration for Parquet so column chunks and file footers 
> are read from cache after the first pass, mirroring the ORC EncodedDataReader 
> path. Today LLAP hosts a Parquet vectorized reader but every read goes to the 
> filesystem — the LLAP data cache and file-metadata cache are unused for 
> Parquet, which leaves the hottest table format on the platform paying full IO 
> cost on every scan.
> What this changes
> - Route Parquet column-chunk reads through LLAP's DataCache off-heap buffers, 
> keyed by file id + chunk offset/length, with the layout and buffer-borrowing 
> logic aligned with the existing ORC encoded path.
> - Cache Parquet file footers via LLAP's FileMetadataCache (LlapCacheAwareFs 
> already registers cache-aware paths for column-chunk fetches; the footer path 
> is the second half of that story).
> - Introduce a ParquetEncodedDataReader on the LLAP daemon side that owns the 
> cached read + decode loop, and factor the Hive-typed row-group column-reader 
> construction out of VectorizedParquetRecordReader into a shared 
> ParquetRowGroupDecoder so both the direct reader and the cache-backed 
> consumer share the same decode path.
> - Add META_HIT / META_MISS counters to the LLAP IO summary for Parquet footer 
> lookups (data-cache hit counters already come from the shared LLAP IO 
> summary).
> For repeat-scan-heavy workloads (BI dashboards, TPC-DS style query mixes), 
> the ORC-vs-Parquet cache-hit gap dominates second-run latency. Bringing 
> Parquet up to parity on LLAP caching means the same warm-cache speedup ORC 
> users already see applies to Parquet tables — measured on TPC-DS Q1 the Map-1 
> scan's cache hit ratio jumps from cold-read levels to the same near-100% band 
> ORC vertices already hit.



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