def setup(conf: Dict):
pid = conf["pid"]
hdfs_node_name = conf["spark"]["hdfs"]["node_name"]
hdfs_root = conf["spark"]["hdfs"]["root"]
spark_master_url = conf["spark"]["master_url"]
workflow_name = conf["workflow_name"]
sm_config = SharemindCodeGenConfig(conf["code_path"])
spark_config = SparkConfig(spark_master_url)
conclave_config = CodeGenConfig(workflow_name) \
.with_sharemind_config(sm_config) \
.with_spark_config(spark_config)
conclave_config.code_path = conf["code_path"] + workflow_name
conclave_config.input_path = "hdfs://{}/{}/{}".format(
hdfs_node_name, hdfs_root, conf["name"])
conclave_config.output_path = "hdfs://{}/{}/{}".format(
hdfs_node_name, hdfs_root, conf["name"])
conclave_config.pid = pid
conclave_config.name = workflow_name
conclave_config.all_pids = [int(p) for p in conf["all_pids"]]
network_config = NetworkConfig(conf["sharemind"]["parties"], pid)
conclave_config.with_network_config(network_config)
return conclave_config
def setup(conf: dict):
# GENERAL
pid = conf["user_config"]["pid"]
workflow_name = conf["user_config"]["workflow_name"]
all_pids = conf["user_config"]['all_pids']
use_leaky = conf["user_config"]["leaky_ops"]
conclave_config = CodeGenConfig(workflow_name)
# SPARK
try:
spark_avail = conf["backends"]["spark"]["available"]
if spark_avail:
spark_master_url = conf["backends"]["spark"]["master_url"]
spark_config = SparkConfig(spark_master_url)
conclave_config.with_spark_config(spark_config)
except KeyError:
pass
# OBLIV-C
try:
oc_avail = conf["backends"]["oblivc"]["available"]
if oc_avail:
oc_path = conf["backends"]["oblivc"]["oc_path"]
ip_port = conf["backends"]["oblivc"]["ip_port"]
oc_config = OblivcConfig(oc_path, ip_port)
conclave_config.with_oc_config(oc_config)
except KeyError:
pass
# JIFF
try:
jiff_avail = conf["backends"]["jiff"]["available"]
if jiff_avail:
jiff_path = conf["backends"]["jiff"]["jiff_path"]
party_count = conf["backends"]["jiff"]["party_count"]
server_ip = conf["backends"]["jiff"]["server_ip"]
server_port = conf["backends"]["jiff"]["server_port"]
jiff_config = JiffConfig(jiff_path, party_count, server_ip,
server_port)
conclave_config.with_jiff_config(jiff_config)
except KeyError:
pass
# NET
hosts = conf["net"]["parties"]
net_config = NetworkConfig(hosts, pid)
conclave_config.with_network_config(net_config)
conclave_config.pid = pid
conclave_config.all_pids = all_pids
conclave_config.name = workflow_name
conclave_config.use_leaky_ops = use_leaky
conclave_config.code_path = conf["user_config"]["paths"]["code_path"]
conclave_config.output_path = conf["user_config"]["paths"]["output_path"]
conclave_config.input_path = conf["user_config"]["paths"]["input_path"]
return conclave_config
hdfs_namenode = sys.argv[2]
hdfs_root = sys.argv[3]
spark_master_url = sys.argv[4]
workflow_name = "job-" + str(pid)
sm_config = SharemindCodeGenConfig("/mnt/shared")
spark_config = SparkConfig(spark_master_url)
conclave_config = CodeGenConfig(workflow_name) \
.with_sharemind_config(sm_config) \
.with_spark_config(spark_config)
conclave_config.code_path = "/mnt/shared/" + workflow_name
conclave_config.input_path = "hdfs://{}/{}/taxi".format(
hdfs_namenode, hdfs_root)
conclave_config.output_path = "hdfs://{}/{}/taxi".format(
hdfs_namenode, hdfs_root)
conclave_config.pid = pid
conclave_config.name = workflow_name
network_config = {
"pid": pid,
"parties": {
1: {
"host": "ca-spark-node-0",
"port": 9001
},
2: {
"host": "cb-spark-node-0",
"port": 9002
},
3: {
"host": "cc-spark-node-0",
"port": 9003
def testHybridJoinWorkflow():
def protocol():
# define inputs
colsIn1 = [
defCol("a", "INTEGER", [1]),
defCol("b", "INTEGER", [1]),
]
in1 = sal.create("in1", colsIn1, set([1]))
proj1 = sal.project(in1, "proj1", ["a", "b"])
colsIn2 = [
defCol("c", "INTEGER", [1], [2]),
defCol("d", "INTEGER", [2])
]
in2 = sal.create("in2", colsIn2, set([2]))
proj2 = sal.project(in2, "proj2", ["c", "d"])
res = sal.join(proj1, proj2, "res", ["a"], ["c"])
# open result to party 1
sal.collect(res, 1)
# return roots of dag
return set([in1, in2])
pid = int(sys.argv[1])
size = sys.argv[2]
workflow_name = "hybrid-join-" + str(pid)
sm_cg_config = SharemindCodeGenConfig(workflow_name,
"/mnt/shared",
use_hdfs=False,
use_docker=True)
codegen_config = CodeGenConfig(workflow_name).with_sharemind_config(
sm_cg_config)
codegen_config.pid = pid
codegen_config.code_path = "/mnt/shared/" + workflow_name
codegen_config.input_path = "/mnt/shared/hybridjoin/" + size
codegen_config.output_path = "/mnt/shared/hybridjoin/" + size
jobqueue = generate_code(protocol, codegen_config, ["sharemind"],
["python"])
sharemind_config = {
"pid": pid,
"parties": {
1: {
"host": "localhost",
"port": 9001
},
2: {
"host": "localhost",
"port": 9002
},
3: {
"host": "localhost",
"port": 9003
}
}
}
sm_peer = setup_peer(sharemind_config)
conclave.dispatch.dispatch_all(None, sm_peer, jobqueue)
