pkgload::load_all()
qloadm("tools/tpch/100.qs")
con <- get_default_duckdb_connection()
experimental <- FALSE
test_dplyr_q <- head(n = -1, list(
tpch_01 = tpch_raw_oo_01,
tpch_02 = tpch_raw_oo_02,
tpch_03 = tpch_raw_oo_03,
tpch_04 = tpch_raw_oo_04,
tpch_05 = tpch_raw_oo_05,
tpch_06 = tpch_raw_oo_06,
tpch_07 = tpch_raw_oo_07, # string error
tpch_08 = tpch_raw_oo_08, # string error
tpch_09 = tpch_raw_oo_09, # string error
tpch_10 = tpch_raw_oo_10,
tpch_11 = tpch_raw_oo_11,
tpch_12 = tpch_raw_oo_12,
tpch_13 = tpch_raw_oo_13, # takes prohibitively long time
tpch_14 = tpch_raw_oo_14,
tpch_15 = tpch_raw_oo_15,
tpch_16 = tpch_raw_oo_16,
tpch_17 = tpch_raw_oo_17,
tpch_18 = tpch_raw_oo_18,
tpch_19 = tpch_raw_oo_19,
tpch_20 = tpch_raw_oo_20,
tpch_21 = tpch_raw_oo_21, # string error
tpch_22 = tpch_raw_oo_22, # string error
NULL
))
res <- list()
pkg <- "duckplyr-raw-oo"
for (q in names(test_dplyr_q)) {
gc()
f <- test_dplyr_q[[q]]
cold <- nrow(f(con, experimental))
time <- system.time(nrow(f(con, experimental)))[[3]]
print(q)
print(time)
res[[q]] <- data.frame(pkg = pkg, q = q, time = time)
}
df <- do.call(rbind, res)
write.csv(df, paste0("res-", pkg, ".csv"))
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