1185 lines
44 KiB
Python
1185 lines
44 KiB
Python
# -*- coding: utf-8 -*-
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from __future__ import unicode_literals
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import time
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from copy import deepcopy
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from datetime import datetime
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import boto3
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import json
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import pytz
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import sure # noqa
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from botocore.exceptions import ClientError
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import pytest
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from moto import mock_emr
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from moto.core import ACCOUNT_ID
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run_job_flow_args = dict(
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Instances={
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"InstanceCount": 3,
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"KeepJobFlowAliveWhenNoSteps": True,
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"MasterInstanceType": "c3.medium",
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"Placement": {"AvailabilityZone": "us-east-1a"},
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"SlaveInstanceType": "c3.xlarge",
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},
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JobFlowRole="EMR_EC2_DefaultRole",
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LogUri="s3://mybucket/log",
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Name="cluster",
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ServiceRole="EMR_DefaultRole",
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VisibleToAllUsers=True,
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)
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input_instance_groups = [
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{
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"InstanceCount": 1,
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"InstanceRole": "MASTER",
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"InstanceType": "c1.medium",
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"Market": "ON_DEMAND",
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"Name": "master",
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},
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{
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"InstanceCount": 3,
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"InstanceRole": "CORE",
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"InstanceType": "c1.medium",
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"Market": "ON_DEMAND",
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"Name": "core",
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},
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{
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"InstanceCount": 6,
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"InstanceRole": "TASK",
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"InstanceType": "c1.large",
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"Market": "SPOT",
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"Name": "task-1",
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"BidPrice": "0.07",
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},
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{
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"InstanceCount": 10,
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"InstanceRole": "TASK",
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"InstanceType": "c1.xlarge",
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"Market": "SPOT",
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"Name": "task-2",
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"BidPrice": "0.05",
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"EbsConfiguration": {
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"EbsBlockDeviceConfigs": [
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{
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"VolumeSpecification": {"VolumeType": "gp2", "SizeInGB": 800},
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"VolumesPerInstance": 6,
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},
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],
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"EbsOptimized": True,
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},
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},
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]
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@mock_emr
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def test_describe_cluster():
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region_name = "us-east-1"
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client = boto3.client("emr", region_name=region_name)
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args = deepcopy(run_job_flow_args)
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args["Applications"] = [{"Name": "Spark", "Version": "2.4.2"}]
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args["Configurations"] = [
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{
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"Classification": "yarn-site",
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"Properties": {
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"someproperty": "somevalue",
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"someotherproperty": "someothervalue",
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},
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},
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{
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"Classification": "nested-configs",
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"Properties": {},
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"Configurations": [
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{
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"Classification": "nested-config",
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"Properties": {"nested-property": "nested-value"},
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}
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],
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},
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]
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args["Instances"]["AdditionalMasterSecurityGroups"] = ["additional-master"]
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args["Instances"]["AdditionalSlaveSecurityGroups"] = ["additional-slave"]
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args["Instances"]["Ec2KeyName"] = "mykey"
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args["Instances"]["Ec2SubnetId"] = "subnet-8be41cec"
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args["Instances"]["EmrManagedMasterSecurityGroup"] = "master-security-group"
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args["Instances"]["EmrManagedSlaveSecurityGroup"] = "slave-security-group"
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args["Instances"]["KeepJobFlowAliveWhenNoSteps"] = False
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args["Instances"]["ServiceAccessSecurityGroup"] = "service-access-security-group"
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args["KerberosAttributes"] = {
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"Realm": "MY-REALM.COM",
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"KdcAdminPassword": "SuperSecretPassword2",
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"CrossRealmTrustPrincipalPassword": "SuperSecretPassword3",
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"ADDomainJoinUser": "Bob",
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"ADDomainJoinPassword": "SuperSecretPassword4",
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}
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args["Tags"] = [{"Key": "tag1", "Value": "val1"}, {"Key": "tag2", "Value": "val2"}]
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args["SecurityConfiguration"] = "my-security-configuration"
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cluster_id = client.run_job_flow(**args)["JobFlowId"]
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cl = client.describe_cluster(ClusterId=cluster_id)["Cluster"]
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cl["Applications"][0]["Name"].should.equal("Spark")
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cl["Applications"][0]["Version"].should.equal("2.4.2")
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cl["AutoTerminate"].should.equal(True)
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config = cl["Configurations"][0]
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config["Classification"].should.equal("yarn-site")
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config["Properties"].should.equal(args["Configurations"][0]["Properties"])
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nested_config = cl["Configurations"][1]
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nested_config["Classification"].should.equal("nested-configs")
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nested_config["Properties"].should.equal(args["Configurations"][1]["Properties"])
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attrs = cl["Ec2InstanceAttributes"]
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attrs["AdditionalMasterSecurityGroups"].should.equal(
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args["Instances"]["AdditionalMasterSecurityGroups"]
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)
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attrs["AdditionalSlaveSecurityGroups"].should.equal(
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args["Instances"]["AdditionalSlaveSecurityGroups"]
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)
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attrs["Ec2AvailabilityZone"].should.equal("us-east-1a")
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attrs["Ec2KeyName"].should.equal(args["Instances"]["Ec2KeyName"])
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attrs["Ec2SubnetId"].should.equal(args["Instances"]["Ec2SubnetId"])
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attrs["EmrManagedMasterSecurityGroup"].should.equal(
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args["Instances"]["EmrManagedMasterSecurityGroup"]
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)
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attrs["EmrManagedSlaveSecurityGroup"].should.equal(
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args["Instances"]["EmrManagedSlaveSecurityGroup"]
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)
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attrs["IamInstanceProfile"].should.equal(args["JobFlowRole"])
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attrs["ServiceAccessSecurityGroup"].should.equal(
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args["Instances"]["ServiceAccessSecurityGroup"]
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)
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cl["Id"].should.equal(cluster_id)
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cl["KerberosAttributes"].should.equal(args["KerberosAttributes"])
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cl["LogUri"].should.equal(args["LogUri"])
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cl["MasterPublicDnsName"].should.be.a(str)
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cl["Name"].should.equal(args["Name"])
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cl["NormalizedInstanceHours"].should.equal(0)
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# cl['ReleaseLabel'].should.equal('emr-5.0.0')
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cl.shouldnt.have.key("RequestedAmiVersion")
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cl["RunningAmiVersion"].should.equal("1.0.0")
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cl["SecurityConfiguration"].should.be.a(str)
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cl["SecurityConfiguration"].should.equal(args["SecurityConfiguration"])
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cl["ServiceRole"].should.equal(args["ServiceRole"])
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status = cl["Status"]
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status["State"].should.equal("TERMINATED")
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# cluster['Status']['StateChangeReason']
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status["Timeline"]["CreationDateTime"].should.be.a("datetime.datetime")
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# status['Timeline']['EndDateTime'].should.equal(datetime(2014, 1, 24, 2, 19, 46, tzinfo=pytz.utc))
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status["Timeline"]["ReadyDateTime"].should.be.a("datetime.datetime")
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dict((t["Key"], t["Value"]) for t in cl["Tags"]).should.equal(
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dict((t["Key"], t["Value"]) for t in args["Tags"])
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)
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cl["TerminationProtected"].should.equal(False)
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cl["VisibleToAllUsers"].should.equal(True)
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cl["ClusterArn"].should.equal(
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"arn:aws:elasticmapreduce:{0}:{1}:cluster/{2}".format(
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region_name, ACCOUNT_ID, cluster_id
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)
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)
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@mock_emr
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def test_describe_cluster_not_found():
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conn = boto3.client("emr", region_name="us-east-1")
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raised = False
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try:
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cluster = conn.describe_cluster(ClusterId="DummyId")
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except ClientError as e:
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if e.response["Error"]["Code"] == "ResourceNotFoundException":
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raised = True
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raised.should.equal(True)
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@mock_emr
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def test_describe_job_flows():
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client = boto3.client("emr", region_name="us-east-1")
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args = deepcopy(run_job_flow_args)
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expected = {}
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for idx in range(4):
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cluster_name = "cluster" + str(idx)
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args["Name"] = cluster_name
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cluster_id = client.run_job_flow(**args)["JobFlowId"]
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expected[cluster_id] = {
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"Id": cluster_id,
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"Name": cluster_name,
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"State": "WAITING",
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}
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# need sleep since it appears the timestamp is always rounded to
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# the nearest second internally
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time.sleep(1)
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timestamp = datetime.now(pytz.utc)
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time.sleep(1)
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for idx in range(4, 6):
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cluster_name = "cluster" + str(idx)
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args["Name"] = cluster_name
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cluster_id = client.run_job_flow(**args)["JobFlowId"]
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client.terminate_job_flows(JobFlowIds=[cluster_id])
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expected[cluster_id] = {
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"Id": cluster_id,
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"Name": cluster_name,
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"State": "TERMINATED",
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}
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resp = client.describe_job_flows()
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resp["JobFlows"].should.have.length_of(6)
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for cluster_id, y in expected.items():
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resp = client.describe_job_flows(JobFlowIds=[cluster_id])
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resp["JobFlows"].should.have.length_of(1)
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resp["JobFlows"][0]["JobFlowId"].should.equal(cluster_id)
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resp = client.describe_job_flows(JobFlowStates=["WAITING"])
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resp["JobFlows"].should.have.length_of(4)
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for x in resp["JobFlows"]:
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x["ExecutionStatusDetail"]["State"].should.equal("WAITING")
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resp = client.describe_job_flows(CreatedBefore=timestamp)
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resp["JobFlows"].should.have.length_of(4)
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resp = client.describe_job_flows(CreatedAfter=timestamp)
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resp["JobFlows"].should.have.length_of(2)
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@mock_emr
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def test_describe_job_flow():
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client = boto3.client("emr", region_name="us-east-1")
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args = deepcopy(run_job_flow_args)
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args["AmiVersion"] = "3.8.1"
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args["Instances"].update(
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{
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"Ec2KeyName": "ec2keyname",
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"Ec2SubnetId": "subnet-8be41cec",
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"HadoopVersion": "2.4.0",
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}
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)
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args["VisibleToAllUsers"] = True
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cluster_id = client.run_job_flow(**args)["JobFlowId"]
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jf = client.describe_job_flows(JobFlowIds=[cluster_id])["JobFlows"][0]
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jf["AmiVersion"].should.equal(args["AmiVersion"])
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jf.shouldnt.have.key("BootstrapActions")
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esd = jf["ExecutionStatusDetail"]
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esd["CreationDateTime"].should.be.a("datetime.datetime")
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# esd['EndDateTime'].should.be.a('datetime.datetime')
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# esd['LastStateChangeReason'].should.be.a(str)
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esd["ReadyDateTime"].should.be.a("datetime.datetime")
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esd["StartDateTime"].should.be.a("datetime.datetime")
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esd["State"].should.equal("WAITING")
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attrs = jf["Instances"]
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attrs["Ec2KeyName"].should.equal(args["Instances"]["Ec2KeyName"])
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attrs["Ec2SubnetId"].should.equal(args["Instances"]["Ec2SubnetId"])
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attrs["HadoopVersion"].should.equal(args["Instances"]["HadoopVersion"])
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attrs["InstanceCount"].should.equal(args["Instances"]["InstanceCount"])
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for ig in attrs["InstanceGroups"]:
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# ig['BidPrice']
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ig["CreationDateTime"].should.be.a("datetime.datetime")
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# ig['EndDateTime'].should.be.a('datetime.datetime')
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ig["InstanceGroupId"].should.be.a(str)
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ig["InstanceRequestCount"].should.be.a(int)
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ig["InstanceRole"].should.be.within(["MASTER", "CORE"])
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ig["InstanceRunningCount"].should.be.a(int)
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ig["InstanceType"].should.be.within(["c3.medium", "c3.xlarge"])
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# ig['LastStateChangeReason'].should.be.a(str)
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ig["Market"].should.equal("ON_DEMAND")
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ig["Name"].should.be.a(str)
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ig["ReadyDateTime"].should.be.a("datetime.datetime")
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ig["StartDateTime"].should.be.a("datetime.datetime")
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ig["State"].should.equal("RUNNING")
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attrs["KeepJobFlowAliveWhenNoSteps"].should.equal(True)
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# attrs['MasterInstanceId'].should.be.a(str)
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attrs["MasterInstanceType"].should.equal(args["Instances"]["MasterInstanceType"])
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attrs["MasterPublicDnsName"].should.be.a(str)
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attrs["NormalizedInstanceHours"].should.equal(0)
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attrs["Placement"]["AvailabilityZone"].should.equal(
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args["Instances"]["Placement"]["AvailabilityZone"]
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)
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attrs["SlaveInstanceType"].should.equal(args["Instances"]["SlaveInstanceType"])
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attrs["TerminationProtected"].should.equal(False)
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jf["JobFlowId"].should.equal(cluster_id)
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jf["JobFlowRole"].should.equal(args["JobFlowRole"])
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jf["LogUri"].should.equal(args["LogUri"])
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jf["Name"].should.equal(args["Name"])
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jf["ServiceRole"].should.equal(args["ServiceRole"])
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jf["Steps"].should.equal([])
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jf["SupportedProducts"].should.equal([])
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jf["VisibleToAllUsers"].should.equal(True)
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@mock_emr
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def test_list_clusters():
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client = boto3.client("emr", region_name="us-east-1")
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args = deepcopy(run_job_flow_args)
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expected = {}
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for idx in range(40):
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cluster_name = "jobflow" + str(idx)
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args["Name"] = cluster_name
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cluster_id = client.run_job_flow(**args)["JobFlowId"]
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expected[cluster_id] = {
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"Id": cluster_id,
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"Name": cluster_name,
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"NormalizedInstanceHours": 0,
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"State": "WAITING",
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}
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# need sleep since it appears the timestamp is always rounded to
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# the nearest second internally
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time.sleep(1)
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timestamp = datetime.now(pytz.utc)
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time.sleep(1)
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for idx in range(40, 70):
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cluster_name = "jobflow" + str(idx)
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args["Name"] = cluster_name
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cluster_id = client.run_job_flow(**args)["JobFlowId"]
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client.terminate_job_flows(JobFlowIds=[cluster_id])
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expected[cluster_id] = {
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"Id": cluster_id,
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"Name": cluster_name,
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"NormalizedInstanceHours": 0,
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"State": "TERMINATED",
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}
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args = {}
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while 1:
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resp = client.list_clusters(**args)
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clusters = resp["Clusters"]
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len(clusters).should.be.lower_than_or_equal_to(50)
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for x in clusters:
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y = expected[x["Id"]]
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x["Id"].should.equal(y["Id"])
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x["Name"].should.equal(y["Name"])
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x["NormalizedInstanceHours"].should.equal(y["NormalizedInstanceHours"])
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x["Status"]["State"].should.equal(y["State"])
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x["Status"]["Timeline"]["CreationDateTime"].should.be.a("datetime.datetime")
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if y["State"] == "TERMINATED":
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x["Status"]["Timeline"]["EndDateTime"].should.be.a("datetime.datetime")
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else:
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x["Status"]["Timeline"].shouldnt.have.key("EndDateTime")
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x["Status"]["Timeline"]["ReadyDateTime"].should.be.a("datetime.datetime")
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marker = resp.get("Marker")
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if marker is None:
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break
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args = {"Marker": marker}
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resp = client.list_clusters(ClusterStates=["TERMINATED"])
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resp["Clusters"].should.have.length_of(30)
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for x in resp["Clusters"]:
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x["Status"]["State"].should.equal("TERMINATED")
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resp = client.list_clusters(CreatedBefore=timestamp)
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resp["Clusters"].should.have.length_of(40)
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resp = client.list_clusters(CreatedAfter=timestamp)
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resp["Clusters"].should.have.length_of(30)
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@mock_emr
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def test_run_job_flow():
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region_name = "us-east-1"
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client = boto3.client("emr", region_name=region_name)
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args = deepcopy(run_job_flow_args)
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resp = client.run_job_flow(**args)
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resp["ClusterArn"].startswith(
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"arn:aws:elasticmapreduce:{0}:{1}:cluster/".format(region_name, ACCOUNT_ID)
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)
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job_flow_id = resp["JobFlowId"]
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resp = client.describe_job_flows(JobFlowIds=[job_flow_id])["JobFlows"][0]
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resp["ExecutionStatusDetail"]["State"].should.equal("WAITING")
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resp["JobFlowId"].should.equal(job_flow_id)
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resp["Name"].should.equal(args["Name"])
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resp["Instances"]["MasterInstanceType"].should.equal(
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args["Instances"]["MasterInstanceType"]
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)
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resp["Instances"]["SlaveInstanceType"].should.equal(
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args["Instances"]["SlaveInstanceType"]
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)
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resp["LogUri"].should.equal(args["LogUri"])
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resp["VisibleToAllUsers"].should.equal(args["VisibleToAllUsers"])
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resp["Instances"]["NormalizedInstanceHours"].should.equal(0)
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resp["Steps"].should.equal([])
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|
|
|
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@mock_emr
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def test_run_job_flow_with_invalid_params():
|
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client = boto3.client("emr", region_name="us-east-1")
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|
with pytest.raises(ClientError) as ex:
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# cannot set both AmiVersion and ReleaseLabel
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args = deepcopy(run_job_flow_args)
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args["AmiVersion"] = "2.4"
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args["ReleaseLabel"] = "emr-5.0.0"
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client.run_job_flow(**args)
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ex.value.response["Error"]["Code"].should.equal("ValidationException")
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|
|
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@mock_emr
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def test_run_job_flow_in_multiple_regions():
|
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regions = {}
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for region in ["us-east-1", "eu-west-1"]:
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client = boto3.client("emr", region_name=region)
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args = deepcopy(run_job_flow_args)
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args["Name"] = region
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cluster_id = client.run_job_flow(**args)["JobFlowId"]
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regions[region] = {"client": client, "cluster_id": cluster_id}
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for region in regions.keys():
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client = regions[region]["client"]
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resp = client.describe_cluster(ClusterId=regions[region]["cluster_id"])
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resp["Cluster"]["Name"].should.equal(region)
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|
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@mock_emr
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|
def test_run_job_flow_with_new_params():
|
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client = boto3.client("emr", region_name="us-east-1")
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resp = client.run_job_flow(**run_job_flow_args)
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resp.should.have.key("JobFlowId")
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|
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@mock_emr
|
|
def test_run_job_flow_with_visible_to_all_users():
|
|
client = boto3.client("emr", region_name="us-east-1")
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|
for expected in (True, False):
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args = deepcopy(run_job_flow_args)
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args["VisibleToAllUsers"] = expected
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resp = client.run_job_flow(**args)
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cluster_id = resp["JobFlowId"]
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resp = client.describe_cluster(ClusterId=cluster_id)
|
|
resp["Cluster"]["VisibleToAllUsers"].should.equal(expected)
|
|
|
|
|
|
def _do_assertion_ebs_configuration(x, y):
|
|
total_volumes = 0
|
|
total_size = 0
|
|
for ebs_block in y["EbsConfiguration"]["EbsBlockDeviceConfigs"]:
|
|
total_volumes += ebs_block["VolumesPerInstance"]
|
|
total_size += ebs_block["VolumeSpecification"]["SizeInGB"]
|
|
# Multiply by total volumes
|
|
total_size = total_size * total_volumes
|
|
comp_total_size = 0
|
|
for ebs_block in x["EbsBlockDevices"]:
|
|
comp_total_size += ebs_block["VolumeSpecification"]["SizeInGB"]
|
|
len(x["EbsBlockDevices"]).should.equal(total_volumes)
|
|
comp_total_size.should.equal(comp_total_size)
|
|
|
|
|
|
@mock_emr
|
|
def test_run_job_flow_with_instance_groups():
|
|
input_groups = dict((g["Name"], g) for g in input_instance_groups)
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
args = deepcopy(run_job_flow_args)
|
|
args["Instances"] = {"InstanceGroups": input_instance_groups}
|
|
cluster_id = client.run_job_flow(**args)["JobFlowId"]
|
|
groups = client.list_instance_groups(ClusterId=cluster_id)["InstanceGroups"]
|
|
for x in groups:
|
|
y = input_groups[x["Name"]]
|
|
x.should.have.key("Id")
|
|
x["RequestedInstanceCount"].should.equal(y["InstanceCount"])
|
|
x["InstanceGroupType"].should.equal(y["InstanceRole"])
|
|
x["InstanceType"].should.equal(y["InstanceType"])
|
|
x["Market"].should.equal(y["Market"])
|
|
if "BidPrice" in y:
|
|
x["BidPrice"].should.equal(y["BidPrice"])
|
|
|
|
if "EbsConfiguration" in y:
|
|
_do_assertion_ebs_configuration(x, y)
|
|
|
|
|
|
auto_scaling_policy = {
|
|
"Constraints": {"MinCapacity": 2, "MaxCapacity": 10},
|
|
"Rules": [
|
|
{
|
|
"Name": "Default-scale-out",
|
|
"Description": "Replicates the default scale-out rule in the console for YARN memory.",
|
|
"Action": {
|
|
"SimpleScalingPolicyConfiguration": {
|
|
"AdjustmentType": "CHANGE_IN_CAPACITY",
|
|
"ScalingAdjustment": 1,
|
|
"CoolDown": 300,
|
|
}
|
|
},
|
|
"Trigger": {
|
|
"CloudWatchAlarmDefinition": {
|
|
"ComparisonOperator": "LESS_THAN",
|
|
"EvaluationPeriods": 1,
|
|
"MetricName": "YARNMemoryAvailablePercentage",
|
|
"Namespace": "AWS/ElasticMapReduce",
|
|
"Period": 300,
|
|
"Threshold": 15.0,
|
|
"Statistic": "AVERAGE",
|
|
"Unit": "PERCENT",
|
|
"Dimensions": [{"Key": "JobFlowId", "Value": "${emr.clusterId}"}],
|
|
}
|
|
},
|
|
}
|
|
],
|
|
}
|
|
|
|
|
|
@mock_emr
|
|
def test_run_job_flow_with_instance_groups_with_autoscaling():
|
|
input_groups = dict((g["Name"], g) for g in input_instance_groups)
|
|
|
|
input_groups["core"]["AutoScalingPolicy"] = auto_scaling_policy
|
|
input_groups["task-1"]["AutoScalingPolicy"] = auto_scaling_policy
|
|
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
args = deepcopy(run_job_flow_args)
|
|
args["Instances"] = {"InstanceGroups": input_instance_groups}
|
|
cluster_id = client.run_job_flow(**args)["JobFlowId"]
|
|
groups = client.list_instance_groups(ClusterId=cluster_id)["InstanceGroups"]
|
|
for x in groups:
|
|
y = deepcopy(input_groups[x["Name"]])
|
|
if "AutoScalingPolicy" in y:
|
|
x["AutoScalingPolicy"]["Status"]["State"].should.equal("ATTACHED")
|
|
returned_policy = deepcopy(x["AutoScalingPolicy"])
|
|
auto_scaling_policy_with_cluster_id = _patch_cluster_id_placeholder_in_autoscaling_policy(
|
|
y["AutoScalingPolicy"], cluster_id
|
|
)
|
|
del returned_policy["Status"]
|
|
returned_policy.should.equal(auto_scaling_policy_with_cluster_id)
|
|
|
|
|
|
@mock_emr
|
|
def test_put_remove_auto_scaling_policy():
|
|
region_name = "us-east-1"
|
|
input_groups = dict((g["Name"], g) for g in input_instance_groups)
|
|
client = boto3.client("emr", region_name=region_name)
|
|
args = deepcopy(run_job_flow_args)
|
|
args["Instances"] = {"InstanceGroups": input_instance_groups}
|
|
cluster_id = client.run_job_flow(**args)["JobFlowId"]
|
|
|
|
core_instance_group = [
|
|
ig
|
|
for ig in client.list_instance_groups(ClusterId=cluster_id)["InstanceGroups"]
|
|
if ig["InstanceGroupType"] == "CORE"
|
|
][0]
|
|
|
|
resp = client.put_auto_scaling_policy(
|
|
ClusterId=cluster_id,
|
|
InstanceGroupId=core_instance_group["Id"],
|
|
AutoScalingPolicy=auto_scaling_policy,
|
|
)
|
|
|
|
auto_scaling_policy_with_cluster_id = _patch_cluster_id_placeholder_in_autoscaling_policy(
|
|
auto_scaling_policy, cluster_id
|
|
)
|
|
del resp["AutoScalingPolicy"]["Status"]
|
|
resp["AutoScalingPolicy"].should.equal(auto_scaling_policy_with_cluster_id)
|
|
resp["ClusterArn"].should.equal(
|
|
"arn:aws:elasticmapreduce:{0}:{1}:cluster/{2}".format(
|
|
region_name, ACCOUNT_ID, cluster_id
|
|
)
|
|
)
|
|
|
|
core_instance_group = [
|
|
ig
|
|
for ig in client.list_instance_groups(ClusterId=cluster_id)["InstanceGroups"]
|
|
if ig["InstanceGroupType"] == "CORE"
|
|
][0]
|
|
|
|
("AutoScalingPolicy" in core_instance_group).should.equal(True)
|
|
|
|
client.remove_auto_scaling_policy(
|
|
ClusterId=cluster_id, InstanceGroupId=core_instance_group["Id"]
|
|
)
|
|
|
|
core_instance_group = [
|
|
ig
|
|
for ig in client.list_instance_groups(ClusterId=cluster_id)["InstanceGroups"]
|
|
if ig["InstanceGroupType"] == "CORE"
|
|
][0]
|
|
|
|
("AutoScalingPolicy" not in core_instance_group).should.equal(True)
|
|
|
|
|
|
def _patch_cluster_id_placeholder_in_autoscaling_policy(
|
|
auto_scaling_policy, cluster_id
|
|
):
|
|
policy_copy = deepcopy(auto_scaling_policy)
|
|
for rule in policy_copy["Rules"]:
|
|
for dimension in rule["Trigger"]["CloudWatchAlarmDefinition"]["Dimensions"]:
|
|
dimension["Value"] = cluster_id
|
|
return policy_copy
|
|
|
|
|
|
@mock_emr
|
|
def test_run_job_flow_with_custom_ami():
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
|
|
with pytest.raises(ClientError) as ex:
|
|
# CustomAmiId available in Amazon EMR 5.7.0 and later
|
|
args = deepcopy(run_job_flow_args)
|
|
args["CustomAmiId"] = "MyEmrCustomId"
|
|
args["ReleaseLabel"] = "emr-5.6.0"
|
|
client.run_job_flow(**args)
|
|
ex.value.response["Error"]["Code"].should.equal("ValidationException")
|
|
ex.value.response["Error"]["Message"].should.equal("Custom AMI is not allowed")
|
|
|
|
with pytest.raises(ClientError) as ex:
|
|
args = deepcopy(run_job_flow_args)
|
|
args["CustomAmiId"] = "MyEmrCustomId"
|
|
args["AmiVersion"] = "3.8.1"
|
|
client.run_job_flow(**args)
|
|
ex.value.response["Error"]["Code"].should.equal("ValidationException")
|
|
ex.value.response["Error"]["Message"].should.equal(
|
|
"Custom AMI is not supported in this version of EMR"
|
|
)
|
|
|
|
with pytest.raises(ClientError) as ex:
|
|
# AMI version and release label exception raises before CustomAmi exception
|
|
args = deepcopy(run_job_flow_args)
|
|
args["CustomAmiId"] = "MyEmrCustomId"
|
|
args["ReleaseLabel"] = "emr-5.6.0"
|
|
args["AmiVersion"] = "3.8.1"
|
|
client.run_job_flow(**args)
|
|
ex.value.response["Error"]["Code"].should.equal("ValidationException")
|
|
ex.value.response["Error"]["Message"].should.contain(
|
|
"Only one AMI version and release label may be specified."
|
|
)
|
|
|
|
args = deepcopy(run_job_flow_args)
|
|
args["CustomAmiId"] = "MyEmrCustomAmi"
|
|
args["ReleaseLabel"] = "emr-5.31.0"
|
|
cluster_id = client.run_job_flow(**args)["JobFlowId"]
|
|
resp = client.describe_cluster(ClusterId=cluster_id)
|
|
resp["Cluster"]["CustomAmiId"].should.equal("MyEmrCustomAmi")
|
|
|
|
|
|
@mock_emr
|
|
def test_run_job_flow_with_step_concurrency():
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
args = deepcopy(run_job_flow_args)
|
|
args["StepConcurrencyLevel"] = 2
|
|
cluster_id = client.run_job_flow(**args)["JobFlowId"]
|
|
resp = client.describe_cluster(ClusterId=cluster_id)["Cluster"]
|
|
resp["Name"].should.equal(args["Name"])
|
|
resp["Status"]["State"].should.equal("WAITING")
|
|
resp["StepConcurrencyLevel"].should.equal(2)
|
|
|
|
|
|
@mock_emr
|
|
def test_modify_cluster():
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
args = deepcopy(run_job_flow_args)
|
|
args["StepConcurrencyLevel"] = 2
|
|
cluster_id = client.run_job_flow(**args)["JobFlowId"]
|
|
resp = client.describe_cluster(ClusterId=cluster_id)["Cluster"]
|
|
resp["Name"].should.equal(args["Name"])
|
|
resp["Status"]["State"].should.equal("WAITING")
|
|
resp["StepConcurrencyLevel"].should.equal(2)
|
|
|
|
resp = client.modify_cluster(ClusterId=cluster_id, StepConcurrencyLevel=4)
|
|
resp["StepConcurrencyLevel"].should.equal(4)
|
|
|
|
resp = client.describe_cluster(ClusterId=cluster_id)["Cluster"]
|
|
resp["StepConcurrencyLevel"].should.equal(4)
|
|
|
|
|
|
@mock_emr
|
|
def test_set_termination_protection():
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
args = deepcopy(run_job_flow_args)
|
|
args["Instances"]["TerminationProtected"] = False
|
|
resp = client.run_job_flow(**args)
|
|
cluster_id = resp["JobFlowId"]
|
|
resp = client.describe_cluster(ClusterId=cluster_id)
|
|
resp["Cluster"]["TerminationProtected"].should.equal(False)
|
|
|
|
for expected in (True, False):
|
|
resp = client.set_termination_protection(
|
|
JobFlowIds=[cluster_id], TerminationProtected=expected
|
|
)
|
|
resp = client.describe_cluster(ClusterId=cluster_id)
|
|
resp["Cluster"]["TerminationProtected"].should.equal(expected)
|
|
|
|
|
|
@mock_emr
|
|
def test_terminate_protected_job_flow_raises_error():
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
resp = client.run_job_flow(**run_job_flow_args)
|
|
cluster_id = resp["JobFlowId"]
|
|
client.set_termination_protection(
|
|
JobFlowIds=[cluster_id], TerminationProtected=True
|
|
)
|
|
with pytest.raises(ClientError) as ex:
|
|
client.terminate_job_flows(
|
|
JobFlowIds=[cluster_id,]
|
|
)
|
|
error = ex.value.response["Error"]
|
|
error["Code"].should.equal("ValidationException")
|
|
error["Message"].should.equal(
|
|
"Could not shut down one or more job flows since they are termination protected."
|
|
)
|
|
|
|
|
|
@mock_emr
|
|
def test_set_visible_to_all_users():
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
args = deepcopy(run_job_flow_args)
|
|
args["VisibleToAllUsers"] = False
|
|
resp = client.run_job_flow(**args)
|
|
cluster_id = resp["JobFlowId"]
|
|
resp = client.describe_cluster(ClusterId=cluster_id)
|
|
resp["Cluster"]["VisibleToAllUsers"].should.equal(False)
|
|
|
|
for expected in (True, False):
|
|
resp = client.set_visible_to_all_users(
|
|
JobFlowIds=[cluster_id], VisibleToAllUsers=expected
|
|
)
|
|
resp = client.describe_cluster(ClusterId=cluster_id)
|
|
resp["Cluster"]["VisibleToAllUsers"].should.equal(expected)
|
|
|
|
|
|
@mock_emr
|
|
def test_terminate_job_flows():
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
|
|
resp = client.run_job_flow(**run_job_flow_args)
|
|
cluster_id = resp["JobFlowId"]
|
|
resp = client.describe_cluster(ClusterId=cluster_id)
|
|
resp["Cluster"]["Status"]["State"].should.equal("WAITING")
|
|
|
|
resp = client.terminate_job_flows(JobFlowIds=[cluster_id])
|
|
resp = client.describe_cluster(ClusterId=cluster_id)
|
|
resp["Cluster"]["Status"]["State"].should.equal("TERMINATED")
|
|
|
|
|
|
# testing multiple end points for each feature
|
|
|
|
|
|
@mock_emr
|
|
def test_bootstrap_actions():
|
|
bootstrap_actions = [
|
|
{
|
|
"Name": "bs1",
|
|
"ScriptBootstrapAction": {
|
|
"Args": ["arg1", "arg2"],
|
|
"Path": "s3://path/to/script",
|
|
},
|
|
},
|
|
{
|
|
"Name": "bs2",
|
|
"ScriptBootstrapAction": {"Args": [], "Path": "s3://path/to/anotherscript"},
|
|
},
|
|
]
|
|
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
args = deepcopy(run_job_flow_args)
|
|
args["BootstrapActions"] = bootstrap_actions
|
|
cluster_id = client.run_job_flow(**args)["JobFlowId"]
|
|
|
|
cl = client.describe_job_flows(JobFlowIds=[cluster_id])["JobFlows"][0]
|
|
for x, y in zip(cl["BootstrapActions"], bootstrap_actions):
|
|
x["BootstrapActionConfig"].should.equal(y)
|
|
|
|
resp = client.list_bootstrap_actions(ClusterId=cluster_id)
|
|
for x, y in zip(resp["BootstrapActions"], bootstrap_actions):
|
|
x["Name"].should.equal(y["Name"])
|
|
if "Args" in y["ScriptBootstrapAction"]:
|
|
x["Args"].should.equal(y["ScriptBootstrapAction"]["Args"])
|
|
x["ScriptPath"].should.equal(y["ScriptBootstrapAction"]["Path"])
|
|
|
|
|
|
@mock_emr
|
|
def test_instances():
|
|
input_groups = dict((g["Name"], g) for g in input_instance_groups)
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
args = deepcopy(run_job_flow_args)
|
|
args["Instances"] = {"InstanceGroups": input_instance_groups}
|
|
cluster_id = client.run_job_flow(**args)["JobFlowId"]
|
|
jf = client.describe_job_flows(JobFlowIds=[cluster_id])["JobFlows"][0]
|
|
instances = client.list_instances(ClusterId=cluster_id)["Instances"]
|
|
len(instances).should.equal(sum(g["InstanceCount"] for g in input_instance_groups))
|
|
for x in instances:
|
|
x.should.have.key("InstanceGroupId")
|
|
instance_group = [
|
|
j
|
|
for j in jf["Instances"]["InstanceGroups"]
|
|
if j["InstanceGroupId"] == x["InstanceGroupId"]
|
|
]
|
|
len(instance_group).should.equal(1)
|
|
y = input_groups[instance_group[0]["Name"]]
|
|
x.should.have.key("Id")
|
|
x.should.have.key("Ec2InstanceId")
|
|
x.should.have.key("PublicDnsName")
|
|
x.should.have.key("PublicIpAddress")
|
|
x.should.have.key("PrivateDnsName")
|
|
x.should.have.key("PrivateIpAddress")
|
|
x.should.have.key("InstanceFleetId")
|
|
x["InstanceType"].should.equal(y["InstanceType"])
|
|
x["Market"].should.equal(y["Market"])
|
|
x["Status"]["Timeline"]["ReadyDateTime"].should.be.a("datetime.datetime")
|
|
x["Status"]["Timeline"]["CreationDateTime"].should.be.a("datetime.datetime")
|
|
x["Status"]["State"].should.equal("RUNNING")
|
|
|
|
for x in [["MASTER"], ["CORE"], ["TASK"], ["MASTER", "TASK"]]:
|
|
instances = client.list_instances(ClusterId=cluster_id, InstanceGroupTypes=x)[
|
|
"Instances"
|
|
]
|
|
len(instances).should.equal(
|
|
sum(
|
|
g["InstanceCount"]
|
|
for g in input_instance_groups
|
|
if g["InstanceRole"] in x
|
|
)
|
|
)
|
|
|
|
|
|
@mock_emr
|
|
def test_instance_groups():
|
|
input_groups = dict((g["Name"], g) for g in input_instance_groups)
|
|
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
args = deepcopy(run_job_flow_args)
|
|
for key in ["MasterInstanceType", "SlaveInstanceType", "InstanceCount"]:
|
|
del args["Instances"][key]
|
|
args["Instances"]["InstanceGroups"] = input_instance_groups[:2]
|
|
cluster_id = client.run_job_flow(**args)["JobFlowId"]
|
|
|
|
jf = client.describe_job_flows(JobFlowIds=[cluster_id])["JobFlows"][0]
|
|
base_instance_count = jf["Instances"]["InstanceCount"]
|
|
|
|
instance_groups_to_add = deepcopy(input_instance_groups[2:])
|
|
instance_groups_to_add[0]["AutoScalingPolicy"] = auto_scaling_policy
|
|
instance_groups_to_add[1]["AutoScalingPolicy"] = auto_scaling_policy
|
|
client.add_instance_groups(
|
|
JobFlowId=cluster_id, InstanceGroups=instance_groups_to_add
|
|
)
|
|
|
|
jf = client.describe_job_flows(JobFlowIds=[cluster_id])["JobFlows"][0]
|
|
jf["Instances"]["InstanceCount"].should.equal(
|
|
sum(g["InstanceCount"] for g in input_instance_groups)
|
|
)
|
|
for x in jf["Instances"]["InstanceGroups"]:
|
|
y = input_groups[x["Name"]]
|
|
if "BidPrice" in y:
|
|
x["BidPrice"].should.equal(y["BidPrice"])
|
|
x["CreationDateTime"].should.be.a("datetime.datetime")
|
|
# x['EndDateTime'].should.be.a('datetime.datetime')
|
|
x.should.have.key("InstanceGroupId")
|
|
x["InstanceRequestCount"].should.equal(y["InstanceCount"])
|
|
x["InstanceRole"].should.equal(y["InstanceRole"])
|
|
x["InstanceRunningCount"].should.equal(y["InstanceCount"])
|
|
x["InstanceType"].should.equal(y["InstanceType"])
|
|
# x['LastStateChangeReason'].should.equal(y['LastStateChangeReason'])
|
|
x["Market"].should.equal(y["Market"])
|
|
x["Name"].should.equal(y["Name"])
|
|
x["ReadyDateTime"].should.be.a("datetime.datetime")
|
|
x["StartDateTime"].should.be.a("datetime.datetime")
|
|
x["State"].should.equal("RUNNING")
|
|
groups = client.list_instance_groups(ClusterId=cluster_id)["InstanceGroups"]
|
|
for x in groups:
|
|
y = deepcopy(input_groups[x["Name"]])
|
|
if "BidPrice" in y:
|
|
x["BidPrice"].should.equal(y["BidPrice"])
|
|
if "AutoScalingPolicy" in y:
|
|
x["AutoScalingPolicy"]["Status"]["State"].should.equal("ATTACHED")
|
|
returned_policy = dict(x["AutoScalingPolicy"])
|
|
del returned_policy["Status"]
|
|
policy = json.loads(
|
|
json.dumps(y["AutoScalingPolicy"]).replace(
|
|
"${emr.clusterId}", cluster_id
|
|
)
|
|
)
|
|
returned_policy.should.equal(policy)
|
|
if "EbsConfiguration" in y:
|
|
_do_assertion_ebs_configuration(x, y)
|
|
# Configurations
|
|
# EbsBlockDevices
|
|
# EbsOptimized
|
|
x.should.have.key("Id")
|
|
x["InstanceGroupType"].should.equal(y["InstanceRole"])
|
|
x["InstanceType"].should.equal(y["InstanceType"])
|
|
x["Market"].should.equal(y["Market"])
|
|
x["Name"].should.equal(y["Name"])
|
|
x["RequestedInstanceCount"].should.equal(y["InstanceCount"])
|
|
x["RunningInstanceCount"].should.equal(y["InstanceCount"])
|
|
# ShrinkPolicy
|
|
x["Status"]["State"].should.equal("RUNNING")
|
|
x["Status"]["StateChangeReason"]["Code"].should.be.a(str)
|
|
# x['Status']['StateChangeReason']['Message'].should.be.a(str)
|
|
x["Status"]["Timeline"]["CreationDateTime"].should.be.a("datetime.datetime")
|
|
# x['Status']['Timeline']['EndDateTime'].should.be.a('datetime.datetime')
|
|
x["Status"]["Timeline"]["ReadyDateTime"].should.be.a("datetime.datetime")
|
|
|
|
igs = dict((g["Name"], g) for g in groups)
|
|
client.modify_instance_groups(
|
|
InstanceGroups=[
|
|
{"InstanceGroupId": igs["task-1"]["Id"], "InstanceCount": 2},
|
|
{"InstanceGroupId": igs["task-2"]["Id"], "InstanceCount": 3},
|
|
]
|
|
)
|
|
jf = client.describe_job_flows(JobFlowIds=[cluster_id])["JobFlows"][0]
|
|
jf["Instances"]["InstanceCount"].should.equal(base_instance_count + 5)
|
|
igs = dict((g["Name"], g) for g in jf["Instances"]["InstanceGroups"])
|
|
igs["task-1"]["InstanceRunningCount"].should.equal(2)
|
|
igs["task-2"]["InstanceRunningCount"].should.equal(3)
|
|
|
|
|
|
@mock_emr
|
|
def test_steps():
|
|
input_steps = [
|
|
{
|
|
"HadoopJarStep": {
|
|
"Args": [
|
|
"hadoop-streaming",
|
|
"-files",
|
|
"s3://elasticmapreduce/samples/wordcount/wordSplitter.py#wordSplitter.py",
|
|
"-mapper",
|
|
"python wordSplitter.py",
|
|
"-input",
|
|
"s3://elasticmapreduce/samples/wordcount/input",
|
|
"-output",
|
|
"s3://output_bucket/output/wordcount_output",
|
|
"-reducer",
|
|
"aggregate",
|
|
],
|
|
"Jar": "command-runner.jar",
|
|
},
|
|
"Name": "My wordcount example",
|
|
},
|
|
{
|
|
"HadoopJarStep": {
|
|
"Args": [
|
|
"hadoop-streaming",
|
|
"-files",
|
|
"s3://elasticmapreduce/samples/wordcount/wordSplitter2.py#wordSplitter2.py",
|
|
"-mapper",
|
|
"python wordSplitter2.py",
|
|
"-input",
|
|
"s3://elasticmapreduce/samples/wordcount/input2",
|
|
"-output",
|
|
"s3://output_bucket/output/wordcount_output2",
|
|
"-reducer",
|
|
"aggregate",
|
|
],
|
|
"Jar": "command-runner.jar",
|
|
},
|
|
"Name": "My wordcount example2",
|
|
},
|
|
]
|
|
|
|
# TODO: implementation and test for cancel_steps
|
|
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
args = deepcopy(run_job_flow_args)
|
|
args["Steps"] = [input_steps[0]]
|
|
cluster_id = client.run_job_flow(**args)["JobFlowId"]
|
|
|
|
jf = client.describe_job_flows(JobFlowIds=[cluster_id])["JobFlows"][0]
|
|
jf["Steps"].should.have.length_of(1)
|
|
|
|
client.add_job_flow_steps(JobFlowId=cluster_id, Steps=[input_steps[1]])
|
|
|
|
jf = client.describe_job_flows(JobFlowIds=[cluster_id])["JobFlows"][0]
|
|
jf["Steps"].should.have.length_of(2)
|
|
for idx, (x, y) in enumerate(zip(jf["Steps"], input_steps)):
|
|
x["ExecutionStatusDetail"].should.have.key("CreationDateTime")
|
|
# x['ExecutionStatusDetail'].should.have.key('EndDateTime')
|
|
# x['ExecutionStatusDetail'].should.have.key('LastStateChangeReason')
|
|
# x['ExecutionStatusDetail'].should.have.key('StartDateTime')
|
|
x["ExecutionStatusDetail"]["State"].should.equal(
|
|
"STARTING" if idx == 0 else "PENDING"
|
|
)
|
|
x["StepConfig"]["ActionOnFailure"].should.equal("TERMINATE_CLUSTER")
|
|
x["StepConfig"]["HadoopJarStep"]["Args"].should.equal(
|
|
y["HadoopJarStep"]["Args"]
|
|
)
|
|
x["StepConfig"]["HadoopJarStep"]["Jar"].should.equal(y["HadoopJarStep"]["Jar"])
|
|
if "MainClass" in y["HadoopJarStep"]:
|
|
x["StepConfig"]["HadoopJarStep"]["MainClass"].should.equal(
|
|
y["HadoopJarStep"]["MainClass"]
|
|
)
|
|
if "Properties" in y["HadoopJarStep"]:
|
|
x["StepConfig"]["HadoopJarStep"]["Properties"].should.equal(
|
|
y["HadoopJarStep"]["Properties"]
|
|
)
|
|
x["StepConfig"]["Name"].should.equal(y["Name"])
|
|
|
|
expected = dict((s["Name"], s) for s in input_steps)
|
|
|
|
steps = client.list_steps(ClusterId=cluster_id)["Steps"]
|
|
steps.should.have.length_of(2)
|
|
for x in steps:
|
|
y = expected[x["Name"]]
|
|
x["ActionOnFailure"].should.equal("TERMINATE_CLUSTER")
|
|
x["Config"]["Args"].should.equal(y["HadoopJarStep"]["Args"])
|
|
x["Config"]["Jar"].should.equal(y["HadoopJarStep"]["Jar"])
|
|
# x['Config']['MainClass'].should.equal(y['HadoopJarStep']['MainClass'])
|
|
# Properties
|
|
x["Id"].should.be.a(str)
|
|
x["Name"].should.equal(y["Name"])
|
|
x["Status"]["State"].should.be.within(["STARTING", "PENDING"])
|
|
# StateChangeReason
|
|
x["Status"]["Timeline"]["CreationDateTime"].should.be.a("datetime.datetime")
|
|
# x['Status']['Timeline']['EndDateTime'].should.be.a('datetime.datetime')
|
|
# Only the first step will have started - we don't know anything about when it finishes, so the second step never starts
|
|
if x["Name"] == "My wordcount example":
|
|
x["Status"]["Timeline"]["StartDateTime"].should.be.a("datetime.datetime")
|
|
|
|
x = client.describe_step(ClusterId=cluster_id, StepId=x["Id"])["Step"]
|
|
x["ActionOnFailure"].should.equal("TERMINATE_CLUSTER")
|
|
x["Config"]["Args"].should.equal(y["HadoopJarStep"]["Args"])
|
|
x["Config"]["Jar"].should.equal(y["HadoopJarStep"]["Jar"])
|
|
# x['Config']['MainClass'].should.equal(y['HadoopJarStep']['MainClass'])
|
|
# Properties
|
|
x["Id"].should.be.a(str)
|
|
x["Name"].should.equal(y["Name"])
|
|
x["Status"]["State"].should.be.within(["STARTING", "PENDING"])
|
|
# StateChangeReason
|
|
x["Status"]["Timeline"]["CreationDateTime"].should.be.a("datetime.datetime")
|
|
# x['Status']['Timeline']['EndDateTime'].should.be.a('datetime.datetime')
|
|
# x['Status']['Timeline']['StartDateTime'].should.be.a('datetime.datetime')
|
|
|
|
step_id = steps[0]["Id"]
|
|
steps = client.list_steps(ClusterId=cluster_id, StepIds=[step_id])["Steps"]
|
|
steps.should.have.length_of(1)
|
|
steps[0]["Id"].should.equal(step_id)
|
|
|
|
steps = client.list_steps(ClusterId=cluster_id, StepStates=["STARTING"])["Steps"]
|
|
steps.should.have.length_of(1)
|
|
steps[0]["Id"].should.equal(step_id)
|
|
|
|
|
|
@mock_emr
|
|
def test_tags():
|
|
input_tags = [
|
|
{"Key": "newkey1", "Value": "newval1"},
|
|
{"Key": "newkey2", "Value": "newval2"},
|
|
]
|
|
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
cluster_id = client.run_job_flow(**run_job_flow_args)["JobFlowId"]
|
|
|
|
client.add_tags(ResourceId=cluster_id, Tags=input_tags)
|
|
resp = client.describe_cluster(ClusterId=cluster_id)["Cluster"]
|
|
resp["Tags"].should.have.length_of(2)
|
|
dict((t["Key"], t["Value"]) for t in resp["Tags"]).should.equal(
|
|
dict((t["Key"], t["Value"]) for t in input_tags)
|
|
)
|
|
|
|
client.remove_tags(ResourceId=cluster_id, TagKeys=[t["Key"] for t in input_tags])
|
|
resp = client.describe_cluster(ClusterId=cluster_id)["Cluster"]
|
|
resp["Tags"].should.equal([])
|
|
|
|
|
|
@mock_emr
|
|
def test_security_configurations():
|
|
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
|
|
security_configuration_name = "MySecurityConfiguration"
|
|
|
|
security_configuration = """
|
|
{
|
|
"EncryptionConfiguration": {
|
|
"AtRestEncryptionConfiguration": {
|
|
"S3EncryptionConfiguration": {
|
|
"EncryptionMode": "SSE-S3"
|
|
}
|
|
},
|
|
"EnableInTransitEncryption": false,
|
|
"EnableAtRestEncryption": true
|
|
}
|
|
}
|
|
""".strip()
|
|
|
|
resp = client.create_security_configuration(
|
|
Name=security_configuration_name, SecurityConfiguration=security_configuration
|
|
)
|
|
|
|
resp["Name"].should.equal(security_configuration_name)
|
|
resp["CreationDateTime"].should.be.a("datetime.datetime")
|
|
|
|
resp = client.describe_security_configuration(Name=security_configuration_name)
|
|
resp["Name"].should.equal(security_configuration_name)
|
|
resp["SecurityConfiguration"].should.equal(security_configuration)
|
|
resp["CreationDateTime"].should.be.a("datetime.datetime")
|
|
|
|
client.delete_security_configuration(Name=security_configuration_name)
|
|
|
|
with pytest.raises(ClientError) as ex:
|
|
client.describe_security_configuration(Name=security_configuration_name)
|
|
ex.value.response["Error"]["Code"].should.equal("InvalidRequestException")
|
|
ex.value.response["Error"]["Message"].should.match(
|
|
r"Security configuration with name .* does not exist."
|
|
)
|
|
|
|
with pytest.raises(ClientError) as ex:
|
|
client.delete_security_configuration(Name=security_configuration_name)
|
|
ex.value.response["Error"]["Code"].should.equal("InvalidRequestException")
|
|
ex.value.response["Error"]["Message"].should.match(
|
|
r"Security configuration with name .* does not exist."
|
|
)
|
|
|
|
|
|
@mock_emr
|
|
def test_run_job_flow_with_invalid_number_of_master_nodes_raises_error():
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
params = dict(
|
|
Name="test-cluster",
|
|
Instances={
|
|
"InstanceGroups": [
|
|
{
|
|
"InstanceCount": 2,
|
|
"InstanceRole": "MASTER",
|
|
"InstanceType": "c1.medium",
|
|
"Market": "ON_DEMAND",
|
|
"Name": "master",
|
|
}
|
|
]
|
|
},
|
|
)
|
|
with pytest.raises(ClientError) as ex:
|
|
client.run_job_flow(**params)
|
|
error = ex.value.response["Error"]
|
|
error["Code"].should.equal("ValidationException")
|
|
error["Message"].should.equal(
|
|
"Master instance group must have exactly 3 instances for HA clusters."
|
|
)
|
|
|
|
|
|
@mock_emr
|
|
def test_run_job_flow_with_multiple_master_nodes():
|
|
client = boto3.client("emr", region_name="us-east-1")
|
|
params = dict(
|
|
Name="test-cluster",
|
|
Instances={
|
|
"InstanceGroups": [
|
|
{
|
|
"InstanceCount": 3,
|
|
"InstanceRole": "MASTER",
|
|
"InstanceType": "c1.medium",
|
|
"Market": "ON_DEMAND",
|
|
"Name": "master",
|
|
}
|
|
],
|
|
"KeepJobFlowAliveWhenNoSteps": False,
|
|
"TerminationProtected": False,
|
|
},
|
|
)
|
|
cluster_id = client.run_job_flow(**params)["JobFlowId"]
|
|
cluster = client.describe_cluster(ClusterId=cluster_id)["Cluster"]
|
|
cluster["AutoTerminate"].should.equal(False)
|
|
cluster["TerminationProtected"].should.equal(True)
|
|
groups = client.list_instance_groups(ClusterId=cluster_id)["InstanceGroups"]
|
|
master_instance_group = next(
|
|
group for group in groups if group["InstanceGroupType"] == "MASTER"
|
|
)
|
|
master_instance_group["RequestedInstanceCount"].should.equal(3)
|
|
master_instance_group["RunningInstanceCount"].should.equal(3)
|