“The bulk update is stuck!”
When a production UPDATE appears to hang, the problem is often not the SQL itself. In many cases, you can narrow it down by checking three areas: transactions, locks, and indexes.
Step 1: Check Long-Running Transactions
An open transaction can hold locks longer than expected. Other sessions trying to modify the same data may then wait behind it.
Start by checking for long-running or uncommitted transactions.
-- PostgreSQL example
SELECT *
FROM pg_stat_activity
WHERE state <> 'idle';
If you find a transaction that has been open for an unusually long time, check whether the application missed a COMMIT or ROLLBACK.
For GBase Database, the exact monitoring commands depend on the product version, but the principle is the same: find transactions that are holding resources longer than expected.
Step 2: Check Lock Waiting
Next, determine whether another session is blocking the update.
The key questions are:
- Who holds the lock?
- Who is waiting?
- How long has the wait lasted?
- Why hasn't the blocking transaction finished?
A lock wait is not automatically a deadlock. If the blocking transaction eventually commits, the waiting operation can continue.
The goal is to identify the blocking session, not just the session that appears stuck.
Step 3: Check the Execution Plan and Indexes
Don't assume every slow UPDATE is a locking problem.
A poorly optimized update can scan a large amount of data before finding the rows it needs to modify.
For example:
UPDATE orders
SET status = 'shipped'
WHERE order_id = 10001;
If order_id isn't properly indexed, the database may need to examine many rows.
Check the execution plan and verify whether the expected index is being used. In GBase Database, this is an important part of the troubleshooting workflow.
A Better Troubleshooting Order
When a bulk update appears stuck, use this sequence:
Bulk UPDATE is slow/stuck
↓
Check long-running transactions
↓
Check lock waits and blockers
↓
Check execution plan and indexes
↓
Fix the actual bottleneck
This prevents a common mistake: immediately rewriting the SQL without understanding what's happening underneath.
Three Practices That Help
Keep transactions controlled.
Use transactions for consistency, but avoid unnecessarily long transaction lifetimes.
Monitor blocking sessions.
Long-running transactions should trigger investigation before they become production incidents.
Validate indexes with execution plans.
Don't assume an index is being used simply because one exists.
For GBase Database, the same fundamentals apply: understand the transaction, identify the lock relationship, then verify the access path.
When a bulk update gets stuck, don't start by rewriting everything.
First ask: Is it waiting on a transaction, waiting on a lock, or simply scanning too much data?
That question usually gets you much closer to the root cause.
