| import sys | |
| import polars as pl | |
| scale_fac = int(sys.argv[1]) | |
| h_nation = """ | |
| n_nationkey | |
| n_name | |
| n_regionkey | |
| n_comment""".split( | |
| "\n" | |
| ) | |
| h_region = """ | |
| r_regionkey | |
| r_name | |
| r_comment""".split( | |
| "\n" | |
| ) | |
| h_part = """ | |
| p_partkey | |
| p_name | |
| p_mfgr | |
| p_brand | |
| p_type | |
| p_size | |
| p_container | |
| p_retailprice | |
| p_comment""".split( | |
| "\n" | |
| ) | |
| h_supplier = """ | |
| s_suppkey | |
| s_name | |
| s_address | |
| s_nationkey | |
| s_phone | |
| s_acctbal | |
| s_comment""".split( | |
| "\n" | |
| ) | |
| h_partsupp = """ | |
| ps_partkey | |
| ps_suppkey | |
| ps_availqty | |
| ps_supplycost | |
| ps_comment""".split( | |
| "\n" | |
| ) | |
| h_customer = """ | |
| c_custkey | |
| c_name | |
| c_address | |
| c_nationkey | |
| c_phone | |
| c_acctbal | |
| c_mktsegment | |
| c_comment""".split( | |
| "\n" | |
| ) | |
| h_orders = """ | |
| o_orderkey | |
| o_custkey | |
| o_orderstatus | |
| o_totalprice | |
| o_orderdate | |
| o_orderpriority | |
| o_clerk | |
| o_shippriority | |
| o_comment""".split( | |
| "\n" | |
| ) | |
| h_lineitem = """ | |
| l_orderkey | |
| l_partkey | |
| l_suppkey | |
| l_linenumber | |
| l_quantity | |
| l_extendedprice | |
| l_discount | |
| l_tax | |
| l_returnflag | |
| l_linestatus | |
| l_shipdate | |
| l_commitdate | |
| l_receiptdate | |
| l_shipinstruct | |
| l_shipmode | |
| comments""".split( | |
| "\n" | |
| ) | |
| for name in [ | |
| "nation", | |
| "region", | |
| "part", | |
| "supplier", | |
| "partsupp", | |
| "customer", | |
| "orders", | |
| "lineitem", | |
| ]: | |
| print("process table:", name) | |
| df = pl.scan_csv( | |
| f"tables_scale_{scale_fac}/{name}.tbl", | |
| has_header=False, | |
| separator="|", | |
| try_parse_dates=True, | |
| with_column_names=lambda _: eval(f"h_{name}"), | |
| ) | |
| df = df.with_columns([pl.col(pl.Date).cast(pl.Datetime)]) | |
| df.sink_parquet(f"tables_scale_{scale_fac}/{name}.parquet") | |