Chao Wang created IOTDB-1140:
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Summary: optimize regular data encoding
Key: IOTDB-1140
URL: https://issues.apache.org/jira/browse/IOTDB-1140
Project: Apache IoTDB
Issue Type: Improvement
Components: Core/Engine
Reporter: Chao Wang
Assignee: Chao Wang
current regular data encoding algorithm：
# Calculate the difference between two adjacent values. The smallest
difference is used as the equal-frequency frequency.
# Determine the data range of this batch of data based on the difference
between the last value and the first value.
# Traverse this batch of data, use a BitSet, compare the difference between
two adjacent values with the same frequency, and save the value true by default,
If the value is not equal to the equal frequency, calculate the number of equal
frequency differences and set the value to false at the corresponding position,
indicating that the point is a missing point.
this algorithm only can identity missing point, if have error point , it can
not store..
because BitSet only can do this thing, indicates whether the same frequency
exists in a segment of data
But there is some optimize point..
If there is an abnormal value in a column of values, the algorithm is deviated
if the difference is directly obtained to the minimum value.
sample: 1000，1100，1800，1400，1500...
current algorithm be do not use...
1800 is a error point, we should identity error point, revise data.
revise data should be : 1000，1100，1300，1400，1500
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