maggicl/bachelorThesis
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity

corrections to abef only

Browse source
This commit is contained in:
Claudio Maggioni (maggicl) 2021-04-14 18:10:56 +02:00
parent a7515bfee6
commit 43a082fdf0
1 changed files with 24 additions and 43 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

67
figure_8/figure8-abcd-only.py
View file

@ -16,10 +16,12 @@ from pyspark.sql import Window
from pyspark.sql.types import *
from decimal import *
if len(sys.argv) is not 4:
print(sys.argv[0] + " {cluster} {tmpdir} {maxram}")
if len(sys.argv) is not 5:
print(sys.argv[0] + " {cluster} {tmpdir} {maxram} {joindir}")
sys.exit()
joindir=sys.argv[4]
cluster=sys.argv[1]
spark = pyspark.sql.SparkSession.builder \
@ -30,25 +32,7 @@ spark = pyspark.sql.SparkSession.builder \
.getOrCreate()
sc = spark.sparkContext
# READING INSTANCE EVENTS DATA
dfpath = "/home/claudio/google_2019/instance_events/" + cluster + "/" + cluster + "_instance_events*.json.gz"
df = spark.read.json(dfpath)
### TESTING ONLY!
df = df.limit(50000)
try:
df["collection_type"] = df["collection_type"].cast(ByteType())
except:
df = df.withColumn("collection_type", lit(None).cast(ByteType()))
df = df.rdd \
.filter(lambda x: x.time is not None and x.type is not None and x.machine_id is not None and
x.instance_index is not None and x.collection_id is not None and x.resource_request is not None and
x.resource_request.cpus is not None and x.resource_request.memory is not None) \
.map(lambda x: [tabid(x), int(x.time), int(x.type),
Decimal(x.resource_request.cpus), Decimal(x.resource_request.memory), x.machine_id]) \
.toDF(["id", "time", "type", "rcpu", "rram", "mid"])
df = spark.read.parquet(joindir + "/figure-8-join-" + cluster + ".parquet")
# READING MACHINE EVENTS DATA, sort them and save them as broadcast variable
print("Starting to read machine events...")
@ -96,11 +80,11 @@ def get_machine_time_resources(machine_id, time):
return aux(0, len(dfm.value)-1)
def increment_reserv_bucket(bucket, ceils, reserv, last_term_by_id):
idx = 0
while idx < len(ceils) and ceils[idx] < reserv:
idx += 1
def increment_reserv_bucket(bucket, value):
if value < 0:
idx = 0
else:
idx = 40 if value >= 1 else (int(value * 40) + 1)
bucket[idx] += 1
def for_each_joined(x):
@ -110,34 +94,31 @@ def for_each_joined(x):
term = -1
ts = sorted(ts, key=lambda x: x.time)
request_ceils = [0.025, 0.05, 0.075]
cpu_request = [0] * 4 # [a, b, c, d] where <0.025, [0.025, 0.05), [0.05,0.075), >=0.075
ram_request = [0] * 4 # [a, b, c, d] where <0.025, [0.025, 0.05), [0.05,0.075), >=0.075
reserv_ceils = [0, 0.2, 0.4, 0.6, 0.8, 1]
cpu_reservs = [0] * 7 # [n, a, b, c, d, e, f] where:
ram_reservs = [0] * 7
cpu_util = [0] * 41
ram_util = [0] * 41
cpu_request = [0] * 41
ram_request = [0] * 41
for i, t in enumerate(ts):
machine_log = get_machine_time_resources(mid, t.time)
if machine_log is not None:
reserv_cpu = tot_req[0] / machine_logs[0][2]
reserv_ram = tot_req[1] / machine_logs[0][3]
util_cpu = t.acpu / machine_log[2]
util_ram = t.aram / machine_log[3]
else:
reserv_cpu = -1
reserv_ram = -1
util_cpu = -1
util_ram = -1
# 8a-b
increment_reserv_bucket(cpu_request, request_ceils, t.id, t.rcpu)
increment_reserv_bucket(ram_request, request_ceils, t.id, t.rram)
# 8c-d
increment_reserv_bucket(cpu_reservs, reserv_ceils, t.id, reserv_cpu)
increment_reserv_bucket(ram_reservs, reserv_ceils, t.id, reserv_ram)
increment_reserv_bucket(cpu_request, t.rcpu)
increment_reserv_bucket(ram_request, t.rram)
# 8e-f
increment_reserv_bucket(cpu_util, t.acpu)
increment_reserv_bucket(ram_util, t.aram)
if t.type >= 4 and t.type <= 8:
term = t.type
res = {-1: None, 4: None, 5: None, 6: None, 7: None, 8: None}
res[term] = {'rcpu': cpu_request, 'rram': ram_request, 'rscpu': cpu_reservs, 'rsram': ram_reservs}
res[term] = {'rcpu': cpu_request, 'rram': ram_request, 'ucpu': cpu_util, 'uram': ram_util}
return res