Comments (2)
vogelsgesang
commented on June 10, 2024
Hi @l1t1,
The performance difference between Hyper and DuckDB has nothing to do with whether the CTE gets materialized or not. In fact, Hyper's optmizer already decides that in this case the CTE should be materialized.
The performance difference is rather due to DuckDB implementing specialized join algorithms for inequality joins, while Hyper falls back to a blockwise-nested-loop join here. We already have inequality joins on the radar, but currently don't have a compelling use case on why we should invest into improving performance for inequality joins
from hyper-api-samples.
l1t1
commented on June 10, 2024
the execute plan of duckdb
┌─────────────────────────────┐
│┌───────────────────────────┐│
│└───────────────────────────┘│
└─────────────────────────────┘
┌─────────────────────────────────────┐
│┌───────────────────────────────────┐│
││ Query Profiling Information ││
│└───────────────────────────────────┘│
└─────────────────────────────────────┘
explain analyze WITH t AS MATERIALIZED ( SELECT i, i*i*i*i*i AS i5 FROM range(1,150)t(i) ) SELECT a.i, b.i, c.i, d.i, e.i FROM t a, t b, t c, t d, t e WHERE a.i < b.i AND b.i < c.i AND c.i < d.i AND d.i < e.i AND a.i5 + b.i5 + c.i5 + d.i5 = e.i5;
┌─────────────────────────────────────┐
│┌───────────────────────────────────┐│
││ Total Time: 1.07s ││
│└───────────────────────────────────┘│
└─────────────────────────────────────┘
┌───────────────────────────┐
│ EXPLAIN_ANALYZE │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ 0 │
│ (0.00s) │
└─────────────┬─────────────┘
┌─────────────┴─────────────┐
│ CTE │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ t │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ idx: 0 ├──────────────┐
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │ │
│ 1 │ │
│ (1.07s) │ │
└─────────────┬─────────────┘ │
┌─────────────┴─────────────┐┌─────────────┴─────────────┐
│ PROJECTION ││ PROJECTION │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ i ││ i │
│ i5 ││ i │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ i │
│ 149 ││ i │
│ (0.00s) ││ i │
│ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ ││ 1 │
│ ││ (0.00s) │
└─────────────┬─────────────┘└─────────────┬─────────────┘
┌─────────────┴─────────────┐┌─────────────┴─────────────┐
│ RANGE ││ HASH_JOIN │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ EC: 149 ││ INNER │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ (((i5 + i5) + i5) + i5) = │
│ 149 ││ i5 │
│ (0.00s) ││ i < i ├─────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │ │
│ ││ EC: 0 │ │
│ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │ │
│ ││ 1 │ │
│ ││ (0.75s) │ │
└───────────────────────────┘└─────────────┬─────────────┘ │
┌─────────────┴─────────────┐ ┌─────────────┴─────────────┐
│ NESTED_LOOP_JOIN │ │ CTE_SCAN │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │ │ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ INNER │ │ idx: 0 │
│ i < i │ │ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ├────────────────────────────────────────────────────────────────────────┐ │ 149 │
│ EC: 0 │ │ │ (0.00s) │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │ │ │ │
│ 19720001 │ │ │ │
│ (0.32s) │ │ │ │
└─────────────┬─────────────┘ │ └───────────────────────────┘
┌─────────────┴─────────────┐ ┌─────────────┴─────────────┐
│ NESTED_LOOP_JOIN │ │ CTE_SCAN │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │ │ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ INNER │ │ idx: 0 │
│ i < i │ │ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ├───────────────────────────────────────────┐ │ 149 │
│ EC: 0 │ │ │ (0.00s) │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │ │ │ │
│ 540274 │ │ │ │
│ (0.00s) │ │ │ │
└─────────────┬─────────────┘ │ └───────────────────────────┘
┌─────────────┴─────────────┐ ┌─────────────┴─────────────┐
│ NESTED_LOOP_JOIN │ │ CTE_SCAN │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │ │ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ INNER │ │ idx: 0 │
│ i < i │ │ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ├──────────────┐ │ 149 │
│ EC: 0 │ │ │ (0.00s) │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │ │ │ │
│ 11026 │ │ │ │
│ (0.00s) │ │ │ │
└─────────────┬─────────────┘ │ └───────────────────────────┘
┌─────────────┴─────────────┐┌─────────────┴─────────────┐
│ CTE_SCAN ││ CTE_SCAN │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ idx: 0 ││ idx: 0 │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ 149 ││ 149 │
│ (0.00s) ││ (0.00s) │
└───────────────────────────┘└───────────────────────────┘
┌─────────────────────────────┐
│┌───────────────────────────┐│
│└───────────────────────────┘│
└─────────────────────────────┘
┌─────────────────────────────────────┐
│┌───────────────────────────────────┐│
││ Query Profiling Information ││
│└───────────────────────────────────┘│
└─────────────────────────────────────┘
explain analyze WITH t AS ( SELECT i, i*i*i*i*i AS i5 FROM range(1,150)t(i) ) SELECT a.i, b.i, c.i, d.i, e.i FROM t a, t b, t c, t d, t e WHERE a.i < b.i AND b.i < c.i AND c.i < d.i AND d.i < e.i AND a.i5 + b.i5 + c.i5 + d.i5 = e.i5;
┌─────────────────────────────────────┐
│┌───────────────────────────────────┐│
││ Total Time: 24.25s ││
│└───────────────────────────────────┘│
└─────────────────────────────────────┘
┌───────────────────────────┐
│ EXPLAIN_ANALYZE │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ 0 │
│ (0.00s) │
└─────────────┬─────────────┘
┌─────────────┴─────────────┐
│ PROJECTION │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ i │
│ i │
│ i │
│ i │
│ i │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ 1 │
│ (0.00s) │
└─────────────┬─────────────┘
┌─────────────┴─────────────┐
│ FILTER │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ ((((i5 + i5) + i5) + i5) =│
│ i5) │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ EC: 149 │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ 1 │
│ (10.00s) │
└─────────────┬─────────────┘
┌─────────────┴─────────────┐
│ PIECEWISE_MERGE_JOIN │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ INNER │
│ i < i │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ├──────────────┐
│ EC: 149 │ │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │ │
│ 571880029 │ │
│ (11.05s) │ │
└─────────────┬─────────────┘ │
┌─────────────┴─────────────┐┌─────────────┴─────────────┐
│ PROJECTION ││ PIECEWISE_MERGE_JOIN │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ i ││ INNER │
│ i5 ││ i < i │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ├──────────────┐
│ 149 ││ EC: 149 │ │
│ (0.00s) ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │ │
│ ││ 19720001 │ │
│ ││ (0.27s) │ │
└─────────────┬─────────────┘└─────────────┬─────────────┘ │
┌─────────────┴─────────────┐┌─────────────┴─────────────┐┌─────────────┴─────────────┐
│ RANGE ││ PROJECTION ││ PIECEWISE_MERGE_JOIN │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ EC: 149 ││ i ││ INNER │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ i5 ││ i < i │
│ 149 ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ├──────────────┐
│ (0.00s) ││ 149 ││ EC: 149 │ │
│ ││ (0.00s) ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │ │
│ ││ ││ 540274 │ │
│ ││ ││ (0.01s) │ │
└───────────────────────────┘└─────────────┬─────────────┘└─────────────┬─────────────┘ │
┌─────────────┴─────────────┐┌─────────────┴─────────────┐┌─────────────┴─────────────┐
│ RANGE ││ PROJECTION ││ PIECEWISE_MERGE_JOIN │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ EC: 149 ││ i ││ INNER │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ i5 ││ i < i │
│ 149 ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ├──────────────┐
│ (0.00s) ││ 149 ││ EC: 149 │ │
│ ││ (0.00s) ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │ │
│ ││ ││ 11026 │ │
│ ││ ││ (0.00s) │ │
└───────────────────────────┘└─────────────┬─────────────┘└─────────────┬─────────────┘ │
┌─────────────┴─────────────┐┌─────────────┴─────────────┐┌─────────────┴─────────────┐
│ RANGE ││ PROJECTION ││ PROJECTION │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ EC: 149 ││ i ││ i │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ i5 ││ i5 │
│ 149 ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ (0.00s) ││ 149 ││ 149 │
│ ││ (0.00s) ││ (0.00s) │
└───────────────────────────┘└─────────────┬─────────────┘└─────────────┬─────────────┘
┌─────────────┴─────────────┐┌─────────────┴─────────────┐
│ RANGE ││ RANGE │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ EC: 149 ││ EC: 149 │
│ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ││ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ 149 ││ 149 │
│ (0.00s) ││ (0.00s) │
└───────────────────────────┘└───────────────────────────┘
from hyper-api-samples.
Related Issues (20)
- will hyper release the arrch64 linux version? HOT 2
- the max level of WITH RECURSIVE is about 150000? how to increase it? HOT 3
- why query this parquet file reports Scanning of nested columns in Parquet files is disabled? HOT 1
- There was a problem retrieving table information for the source table. Specified table does not exist: updated_rows. (errorCode=410012) HOT 11
- the external file cannot be joined? HOT 3
- suggest add data type promote
- Add support for Azure HOT 1
- tableauhyperapi (v0.0.16123) HyperException: This database does not support 128-bit numerics. HOT 3
- Connect multiple tables only possible with joins? HOT 1
- Could not interpret 'experimental_external_s3' as global setting: No internal setting named 'experimental_external_s3' exists HOT 1
- does hyper support reading multiple files from the same folders HOT 1
- wrong result when multiply by a calculus HOT 1
- Query 18 spill to disk and take a lot of space HOT 1
- "'type' must be a SqlType instance" HOT 3
- Read from s3 private buckets HOT 1
- Unable to install tableauhyperapi on my macbook pro HOT 5
- File is locked HOT 5
- add support for CREATE EXTERNAL TABLE HOT 4
- can hyper python API use multi-core？ HOT 5
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from hyper-api-samples.