Issue raised by trufnetwork/adapters#237
There are many streams on the network that consist of many duplicate entries. In some cases, the value of a stream has never changed from the first data point broadcast, yet there is a data point, with the same exact value, that was broadcast every 24 hours. There is no application where such repeat data points are necessary on the network.
- In the case of a query for "current value," the current value is always the last point broadcast. For instance, although a market may not be open on a weekend, during the time that the market is closed, the last value broadcast (the closing price on Friday) is considered the "current price."
- In the case of certified attestation or prediction protocol settlement, the attested value is the most recent value at the time of the request/settlement. It doesn't matter if that value was broadcast 1 month ago or one minute ago. Therefore, if the value has not changed in a month, the attestation of the month-old value is as valid as the attestation of the one-minute-old value.
In the same way that pruning of high-frequency streams is done, leaving only open-high-close values, pruning of repeat values older than a certain threshold (ie. 30 days), would provide significant reductions to resource requirements (storage) for network participants over time and at scale.
Deadline
ETA: 07-Sep-2026
Issue raised by trufnetwork/adapters#237
There are many streams on the network that consist of many duplicate entries. In some cases, the value of a stream has never changed from the first data point broadcast, yet there is a data point, with the same exact value, that was broadcast every 24 hours. There is no application where such repeat data points are necessary on the network.
In the same way that pruning of high-frequency streams is done, leaving only open-high-close values, pruning of repeat values older than a certain threshold (ie. 30 days), would provide significant reductions to resource requirements (storage) for network participants over time and at scale.
Deadline
ETA: 07-Sep-2026