Created
June 21, 2023 09:49
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import org.apache.spark.sql.execution.debug._ | |
import scala.io.Source | |
import java.io.File | |
import java.util.Arrays | |
def time[R](block: => R): R = { | |
val t0 = System.nanoTime() | |
val result = block // call-by-name | |
val t1 = System.nanoTime() | |
println("Elapsed time: " + (t1 - t0)/1000000 + "ms") | |
result | |
} | |
val call_center = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/call_center") | |
val catalog_page = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/catalog_page") | |
val catalog_returns = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/catalog_returns") | |
val catalog_sales = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/catalog_sales") | |
val customer = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/customer") | |
val customer_address = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/customer_address") | |
val customer_demographics = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/customer_demographics") | |
val date_dim = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/date_dim") | |
val household_demographics = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/household_demographics") | |
val income_band = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/income_band") | |
val inventory = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/inventory") | |
val item = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/item") | |
val promotion = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/promotion") | |
val reason = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/reason") | |
val ship_mode = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/ship_mode") | |
val store = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/store") | |
val store_returns = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/store_returns") | |
val store_sales = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/store_sales") | |
val time_dim = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/time_dim") | |
val warehouse = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/warehouse") | |
val web_page = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/web_page") | |
val web_returns = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/web_returns") | |
val web_sales = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/web_sales") | |
val web_site = spark.read.format("parquet").load("file:///mnt/nvme0/tpcds/parquet_t_tpcds_part_100/web_site") | |
call_center.createOrReplaceTempView("call_center") | |
catalog_page.createOrReplaceTempView("catalog_page") | |
catalog_returns.createOrReplaceTempView("catalog_returns") | |
catalog_sales.createOrReplaceTempView("catalog_sales") | |
customer.createOrReplaceTempView("customer") | |
customer_address.createOrReplaceTempView("customer_address") | |
customer_demographics.createOrReplaceTempView("customer_demographics") | |
date_dim.createOrReplaceTempView("date_dim") | |
household_demographics.createOrReplaceTempView("household_demographics") | |
income_band.createOrReplaceTempView("income_band") | |
inventory.createOrReplaceTempView("inventory") | |
item.createOrReplaceTempView("item") | |
promotion.createOrReplaceTempView("promotion") | |
reason.createOrReplaceTempView("reason") | |
ship_mode.createOrReplaceTempView("ship_mode") | |
store.createOrReplaceTempView("store") | |
store_returns.createOrReplaceTempView("store_returns") | |
store_sales.createOrReplaceTempView("store_sales") | |
time_dim.createOrReplaceTempView("time_dim") | |
warehouse.createOrReplaceTempView("warehouse") | |
web_page.createOrReplaceTempView("web_page") | |
web_returns.createOrReplaceTempView("web_returns") | |
web_sales.createOrReplaceTempView("web_sales") | |
web_site.createOrReplaceTempView("web_site") | |
// Filter out some queries | |
val unsupported = List("ss_max.sql", "ss_maxb.sql").toSet | |
def getListOfFiles(dir: String):List[File] = { | |
val d = new File(dir) | |
if (d.exists && d.isDirectory) { | |
//d.listFiles.filter(_.isFile).filterNot{n => unsupported.contains(n.getName().split("/").takeRight(1){0})}.toList | |
d.listFiles.filter(_.isFile).filter(_.getName().contains("q1.sql")).toList | |
//d.listFiles.filter(_.isFile).toList | |
} else { | |
List[File]() | |
} | |
} | |
/* | |
def getListOfFiles(dir: String):List[File] = { | |
val d = new File(dir) | |
if (d.exists && d.isDirectory) { | |
d.listFiles.filter(_.isFile).toList | |
} else { | |
List[File]() | |
} | |
}*/ | |
val fileLists = getListOfFiles("/home/sparkuser/tpcds/tpcds_2_4.orig/") | |
//val fileLists = getListOfFiles("/tmp") | |
val sorted = fileLists.sortBy { | |
f => f.getName match { | |
case name => | |
var str = name | |
str = str.replaceFirst("a", ".1") | |
str = str.replaceFirst("b", ".2") | |
str = str.replaceFirst(".sql", "") | |
str = str.replaceFirst("q", "") | |
str.toDouble | |
}} | |
for (t <- sorted) { | |
println(t) | |
val fileContents = Source.fromFile(t).getLines.filter(!_.startsWith("--")).filter(!_.startsWith("LIMIT")).mkString(" ") | |
println(fileContents) | |
try { | |
time{spark.sql(fileContents).show} | |
//spark.sql(fileContents).debugCodegen | |
Thread.sleep(5000) | |
} catch { | |
case e: Exception => None | |
} | |
} |
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