[KongchangAI]
Unverified50% confidenceCautionExact time

Triggering repartitioning causes a brief spike in latency for that batch, and operations teams need to reserve a corresponding processing window.

1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/14/2026
First Seen
Valid until: 12/13/2026

Sources

Databricks Introduces On-Demand State Repartitioning to Solve Spark Streaming Scaling Challenges

Related Entities

On-Demand State Repartitioningproduct

Related Claims

UnverifiedTime-to-first-token latency is the most discouraging factor in local large model deployment, with first-response wait times exceeding 100 minutes at 256K context and two to three hours for 300K+ context.70% similar

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https://kongchang.com/claim/921356
API
curl https://kongchang.com/api/v1/knowledge/claims/921356
MCP
get_claim(id=921356)