feat: add doris-parquet bench

[Thearas]

Doris Parquet

1. Launch a local Doris cluster with 1 FE and 1 BE on a c6a.4xlarge instance with 500 GB gp2 storage.
2. Execute benchmark.sh, which will:
   1. Download 100 hints Parquet files locally
   2. Run create.sql to create test tables
   3. Execute run.sh to start the benchmark

References

• clickhouse-parquet
• duckdb-parquet

[CLAassistant]

All committers have signed the CLA.

[rschu1ze]

My local measurements:

 query1,3.16,0.24,0.23
 query2,0.25,0.09,0.10
 query3,0.20,0.14,0.13
 query4,0.49,0.17,0.18
 query5,1.08,0.73,0.75
 query6,1.01,0.96,1.01
 query7,0.11,0.09,0.09
 query8,0.11,0.07,0.08
 query9,1.14,1.10,1.15
 query10,1.22,0.87,0.85
 query11,0.57,0.40,0.38
 query12,0.64,0.43,0.44
 query13,0.96,0.72,0.70
 query14,2.31,1.62,1.61
 query15,1.35,1.08,1.09
 query16,0.99,0.95,0.94
 query17,3.80,2.85,2.97
 query18,2.25,0.39,0.38
 query19,6.24,3.45,3.31
 query20,0.25,0.09,0.09
 query21,10.15,0.96,0.98
 query22,11.34,1.19,1.21
 query23,22.13,2.66,2.71
 query24,53.82,6.50,6.51
 query25,2.86,0.43,0.43
 query26,0.84,0.25,0.27
 query27,3.07,0.43,0.42
 query28,9.62,1.01,1.05
 query29,9.97,9.87,9.92
 query30,0.17,0.12,0.12
 query31,2.44,0.83,0.82
 query32,6.22,1.08,1.07
 query33,5.51,4.55,4.70
 query34,11.37,4.72,4.78
 query35,11.43,4.59,4.82
 query36,0.76,0.75,0.74
 query37,0.16,0.09,0.08
 query38,0.10,0.07,0.06
 query39,0.07,0.03,0.03
 query40,0.06,0.03,0.03
 query41,0.08,0.05,0.05
 query42,0.07,0.04,0.04
 query43,0.05,0.04,0.03

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