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Outage in Treasure Data

[US Region] - Hive - Query Performance Degradation

Resolved Minor
June 26, 2026 - Started 22 days ago - Lasted about 4 hours
Official incident page

Incident Report

We are experiencing Hive query performance degradation in the US region. This issue began on June 25, 2026. Users may observe longer than expected query execution times, particularly for long-running jobs with large data volumes. We have identified the cause and are working on a fix. We will provide an update in 30 minutes.

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Latest Updates ( sorted recent to last )
RESOLVED 21 days ago - at 06/27/2026 01:13AM

Hive query performance degradation in the US region has been resolved. We have successfully provisioned a new cluster and routed all traffic to it. Systems are now operating normally.

Thank you for your patience.

MONITORING 21 days ago - at 06/26/2026 11:57PM

We have provisioned a new cluster with sufficient capacity and are now routing jobs to it. Query performance is expected to recover gradually as the cluster stabilizes. We are monitoring the situation closely.

We will provide an update in 1 hour.

IDENTIFIED 21 days ago - at 06/26/2026 10:57PM

We are continuing to work on a fix. Our team is validating a cluster configuration change prior to applying it to the production environment.

We will provide an update in 30 minutes.

IDENTIFIED 21 days ago - at 06/26/2026 10:22PM

We are experiencing Hive query performance degradation in the US region. This issue began on June 25, 2026. Users may observe longer than expected query execution times, particularly for long-running jobs with large data volumes.

We have identified the cause. To address this, we are validating a cluster configuration change prior to applying it to the production environment. We will provide an update in 30 minutes.

IDENTIFIED 22 days ago - at 06/26/2026 09:48PM

We are experiencing Hive query performance degradation in the US region. This issue began on June 25, 2026. Users may observe longer than expected query execution times, particularly for long-running jobs with large data volumes.

We have identified the cause and are working on a fix. We will provide an update in 30 minutes.

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