Dwh: V.21.1

# Show query queue and vectorization efficiency
dwh_mon --queries --vector-stats
To appreciate the leap forward, compare V.21.0 vs. V.21.1:
| Feature | V.21.0 | Dwh V.21.1 |
|---------|--------|------------------|
| Max concurrent queries | 500 | 2,000 |
| Data ingestion speed | 100 MB/s per node | 350 MB/s per node |
| Time to restore 10 TB | 45 minutes | 12 minutes |
| Native JSON support | Limited (via UDFs) | Full (with path indexing) |
| Kubernetes operator | Beta | Generally Available | Dwh V.21.1
The secret behind these improvements is a redesigned shared-disk architecture paired with disaggregated compute. This enables independent scaling of storage and computing nodes—a game-changer for organizations with fluctuating analytical demands. # Show query queue and vectorization efficiency dwh_mon
In many large enterprises, IT departments use "DWH" as the project name for their internal Data Warehouse. They often use versioning like V.21.1 to denote: | Issue | Likely Fix | |-------|-------------| |



| Issue | Likely Fix |
|-------|-------------|
| Queries failing with “invalid date” | Add explicit TO_DATE(col, 'YYYY-MM-DD') |
| WORKLOAD_MEMORY_LIMIT not applied | Restart the workload manager service |
| Replication lag increased | Increase log buffer from 256 MB to 512 MB |
dwh_security --validate-masks