Caution
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A read is called reverse when it reads with reverse clustering order (compared to that of the schema). Example:
CREATE TABLE mytable (
pk int,
ck int,
s int STATIC,
v int,
PRIMARY KEY (pk, ck)
) WITH
CLUSTERING ORDER BY (ck ASC);
# Forward read (using table's native order)
SELECT * FROM mytable WHERE pk = 1;
# Explicit forward order
SELECT * FROM mytable WHERE pk = 1 ORDER BY ck ASC;
# Reverse read
SELECT * FROM mytable WHERE pk = 1 ORDER BY ck DESC;
If the table’s native clustering order is DESC, then a read with ASC order is considered reverse.
The legacy format is how scylla handled reverse queries internally. We are in the process of migrating to the native reverse format, but for now coordinator-side code still uses the legacy format.
The query::partition_slice::options::reversed
flag is set.
Clustering ranges in both query::partition_slice::_row_ranges
and
query::specific_ranges::_ranges
(query::partition_slice::_specific_ranges
) are half-reversed: they
are ordered in reverse, but when they are compared to other
mutation-fragments, their end bound is used as position, instead of the
start bound as usual. When compared to other clustering ranges the end
bound is used as the start bound and vice-versa.
Example:
For the clustering keys (ASC order): ck1
, ck2
, ck3
, ck4
, ck5
,
ck6
.
A _row_ranges
field of a slice might contain this:
[ck1, ck2], [ck4, ck5]
The legacy reversed version would look like this:
[ck4, ck5], [ck1, ck2]
Note how the ranges themselves are the same (bounds not reversed), it is just the range vector itself that is reversed.
Results are ordered with the reversed clustering order with the caveat that range-tombstones are ordered by their end bound, using the native schema’s comparators. For example given the following partition:
ps{pk1}, sr{}, cr{ck1}, rt{[ck2, ck4)}, cr{ck2}, cr{ck3}, cr{ck4}, ck{ck5}, pe{}
The legacy reverse format equivalent of this looks like the following:
ps{pk1}, sr{}, cr{ck5}, rt{[ck2, ck4)}, cr{ck4}, cr{ck3}, cr{ck2}, ck{ck1}, pe{}
Note:
Only clustering elements change;
Range tombstone’s bounds are not reversed;
Range tombstones can be ordered off-by-one due to native schema
comparators used: rt{[ck2, ck4)}
should be ordered after
cr{ck4}
.
Legend:
ps = partitions-tart
sr = static-row
cr = clustering-row
rt = range-tombstone
pe = partition-end
The native format uses ordering equivalent to that of a table with
reverse clustering format. Using mytable
as an example, the native
reverse format would be an identical table my_reverse_table
, which
uses CLUSTERING ORDER BY (ck DESC);
. This allows middle layers in a
read pipeline to just use a schema with reversed clustering order and
process the reverse stream as normal.
The query::partition_slice::options::reversed
flag is set as in the
legacy format. Clustering ranges in both
query::partition_slice::_row_ranges
and
query::specific_ranges::_ranges
(query::partition_slice::_specific_ranges
) are fully-reversed: they
are ordered in reverse, their bound being swapped as well.
Example:
For the clustering keys (ASC order): ck1
, ck2
, ck3
, ck4
, ck5
,
ck6
.
A _row_ranges
field of a slice might contain this:
[ck1, ck2], [ck4, ck5]
The native reversed version would look like this:
[ck5, ck4], [ck2, ck1]
In addition to this, the schema is reversed on the replica, at the start of the read, so all the reverse-capable and intermediate readers in the stack get a reversed schema to work with.
Results are ordered with the reversed clustering order with the bounds of range-tombstones swapped. For example, given the same partition that was used in the legacy format example, the native reverse version would look like this:
ps{pk1}, sr{}, cr{ck5}, cr{ck4}, rt{(ck4, ck2]}, cr{ck3}, cr{ck2}, ck{ck1}, pe{}