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Version: Candidate-4.0

ds_hll_accumulate

Accumulates values into a HyperLogLog sketch and returns the serialized sketch as a VARBINARY. This function is part of the DataSketches HLL family of functions for approximate distinct counting.

ds_hll_accumulate creates a serialized HyperLogLog sketch that can be combined with other sketches using ds_hll_combine and estimated using ds_hll_estimate.

It is based on Apache DataSketches and provides high precision for approximate distinct counting. For more information, see HyperLogLog Sketches.

Syntax​

sketch ds_hll_accumulate(expr)
sketch ds_hll_accumulate(expr, log_k)
sketch ds_hll_accumulate(expr, log_k, tgt_type)

Parameters​

  • expr: The expression to accumulate into the sketch. Can be any data type.
  • log_k: Integer. Range [4, 21]. Default: 17. Controls the precision and memory usage of the sketch.
  • tgt_type: Valid values are HLL_4, HLL_6 (default) and HLL_8. Controls the target type of the HyperLogLog sketch.

Return Type​

Returns a VARBINARY containing the serialized HyperLogLog sketch.

Examples​

-- Create test table
CREATE TABLE t1 (
id BIGINT,
province VARCHAR(64),
age SMALLINT,
dt VARCHAR(10)
)
DUPLICATE KEY(id)
DISTRIBUTED BY HASH(id) BUCKETS 3;

-- Insert test data
INSERT INTO t1 SELECT generate_series, generate_series, generate_series % 100, "2024-07-24"
FROM table(generate_series(1, 1000));

-- Basic usage with single argument
SELECT ds_hll_accumulate(id) FROM t1;

-- With custom log_k parameter
SELECT ds_hll_accumulate(province, 20) FROM t1;

-- With both log_k and tgt_type parameters
SELECT ds_hll_accumulate(age, 12, "HLL_6") FROM t1;

-- Group by usage
SELECT dt,
ds_hll_accumulate(id),
ds_hll_accumulate(province, 20),
ds_hll_accumulate(age, 12, "HLL_6"),
ds_hll_accumulate(dt)
FROM t1
GROUP BY dt
ORDER BY 1
LIMIT 3;
  • ds_hll_combine: Combines multiple serialized sketches into a single sketch
  • ds_hll_estimate: Estimates the distinct count from a serialized sketch
  • ds_hll_count_distinct: Direct approximate distinct counting function

Keywords​

ds_HLL_ACCUMULATE, HLL, HYPERLOGLOG, APPROXIMATE, DISTINCT, COUNT