velvia commented on a change in pull request #4815:
URL: https://github.com/apache/arrow/pull/4815#discussion_r414877852
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File path: format/Message.fbs
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@@ -21,10 +21,69 @@ include "Tensor.fbs";
namespace org.apache.arrow.flatbuf;
+/// ------------------------------------------------------
+/// Buffer encoding schemes.
+/// -------------------------------------------------------
+
+/// Encoding for buffers representing integer as offsets from a reference
value.
+/// This encoding uses less bits then the logical type indicates.
+/// It saves space when all values in the buffer can be represented with a
+/// small bit width (e.g. if all values in an int64 column are between -128
+/// and 127, then a bit-width of 8 can be be used) offset from the
+/// reference value.
+table FrameOfReferenceIntEncoding {
+ /// The value that all values in the buffer are relative to.
+ reference_value: long = 0;
Review comment:
Depending on the size of your batch, a sloped representation would
result in far smaller arrays, since the delta from a slope is typically much
smaller and can fit into less bits. You can still do O(1) access to any
element, just compute ax + b etc. Assuming the data is actually increasing,
of course - otherwise step wise is fine.
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