Normalizing a Wide Well and Pipeline Telemetry Table Without Re-Ingesting History
Blog post from Tiger Data
A TimescaleDB migration approach converts a wide oilfield SCADA hypertable into a narrow fact table storing timestamps, surrogate tag IDs, and values, paired with a metadata table that centralizes tag descriptors, allowing new instruments to be added without schema changes. The process requires stable tag metadata, a temporary freeze on new tag registration, and a brief low-activity period for cutover; it uses a metadata backfill, resumable time-sliced transactional data loads tracked in a control table, and post-load indexing to limit risk and support recovery. A compatibility view replaces the original table name after renaming the old table, preserving existing dashboard queries while ingestion moves directly to the new narrow table. The guide emphasizes pausing compression during backfill, auditing and recreating dependent policies, aggregates, triggers, and grants after renaming, carefully handling retention to avoid deleting migrated history, and validating results through per-slice counts and sampled daily checksums before dropping the old table. It also notes that tags with changing descriptors need a more complex time-dependent metadata design, while mixed data types can use separate nullable typed value columns.
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