Fucun Chu 65c6a81ed9
IMPALA-10463: Implement ds_theta_sketch() and ds_theta_estimate() functions ...
These functions can be used to get cardinality estimates of data
using Theta algorithm from Apache DataSketches. ds_theta_sketch()
receives a dataset, e.g. a column from a table, and returns a
serialized Theta sketch in string format. This can be written to a
table or be fed directly to ds_theta_estimate() that returns the
cardinality estimate for that sketch.
Similar to the HLL sketch, the primary use-case for the Theta sketch
is for counting distinct values as a stream, and then merging
multiple sketches together for a total distinct count.
For more details about Apache DataSketches' Theta see:
https://datasketches.apache.org/docs/Theta/ThetaSketchFramework.html
Testing:
- Added some tests running estimates for small datasets where the
amount of data is small enough to get the correct results.
- Ran manual tests on tpch25_parquet.lineitem to compare perfomance
with ds_hll_*. ds_theta_* is faster than ds_hll_* on the original
data, the difference is around 1%-10%. ds_hll_estimate() is faster
than ds_theta_estimate() on existing sketch. HLL and Theta gives
closer estimate except for string. see IMPALA-10464.
Change-Id: I14f24c16b815eec75cf90bb92c8b8b0363dcbfbc
Reviewed-on: http://gerrit.cloudera.org:8080/17008
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com >
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com >
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