What causes ERR_CHANNEL_MUST_BE_REOPENED_DUE_TO_ROW_SEQ_GAP?

Multiple concurrent threads inserting rows to the same channel without coordination. A client crash and restart resulted in rows being replayed with old sequence numbers. The streaming client was used across multiple JVM/process instances simultaneously. An exception during insertRows() caused partial batch acceptance, leaving a sequence gap. Network retry logic re-sent rows with already-acknowledged sequence numbers

How do I fix ERR_CHANNEL_MUST_BE_REOPENED_DUE_TO_ROW_SEQ_GAP?

Get the last committed offset immediately: channel.getLatestCommittedOffsetToken().. Close and reopen the channel: channel.close() then client.openChannel(...).. Replay rows from the last committed offset, not the beginning of the failed batch.. Ensure only one thread/process inserts to a given channel at a time.. Use offset tokens carefully — each insertRows() call must use a monotonically increasing token.

High severityexecutionSnowflake →

Power BI Refresh Error:
ERR_CHANNEL_MUST_BE_REOPENED_DUE_TO_ROW_SEQ_GAP

What does this error mean?

A gap in the row sequence was detected in the Snowpipe Streaming channel, causing it to become invalid. Row sequence gaps occur when rows are inserted out of order or when the internal sequence counter becomes inconsistent, breaking the exactly-once delivery guarantee.

Common causes

1Multiple concurrent threads inserting rows to the same channel without coordination
2A client crash and restart resulted in rows being replayed with old sequence numbers
3The streaming client was used across multiple JVM/process instances simultaneously
4An exception during insertRows() caused partial batch acceptance, leaving a sequence gap
5Network retry logic re-sent rows with already-acknowledged sequence numbers

How to fix it

1Get the last committed offset immediately: channel.getLatestCommittedOffsetToken().
2Close and reopen the channel: channel.close() then client.openChannel(...).
3Replay rows from the last committed offset, not the beginning of the failed batch.
4Ensure only one thread/process inserts to a given channel at a time.
5Use offset tokens carefully — each insertRows() call must use a monotonically increasing token.

Frequently asked questions

Can multiple threads insert to the same Snowpipe Streaming channel?

No — a single SnowflakeStreamingIngestChannel is not thread-safe. Use separate channels per thread, or synchronize access to a single channel.

How do offset tokens work for exactly-once delivery?

Pass a monotonically increasing string token with each insertRows() call. After reopening the channel, call getLatestCommittedOffsetToken() to find the last confirmed row and replay everything after it.

Official documentation: https://docs.snowflake.com/en/user-guide/snowpipe-streaming/snowpipe-streaming-high-performance-error-handling