So, for a single globalOpId, in your example 0000016, does that mean the list of values is very large for that single row? The table you show has 6 rows, you state 4 rows - can you clarify that you a row in your table means a row you talk about. Can you state how many values(point) you have for a SINGLE global code and _time - what sort of count of values do you have? If you have several million point values for each row, then that is why it is so slow. Can you clarify what you are trying to do. If your point cardinality is very high, you should not collect values(point) and then split them out again. Without knowing your data, can you do the first stats by global point _time rather than just global _time and then see if you can work out what your calculations from that data.
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