665 lines
24 KiB
Python
665 lines
24 KiB
Python
from __future__ import unicode_literals
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import time
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from datetime import datetime
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import boto
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import pytz
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from boto.emr.bootstrap_action import BootstrapAction
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from boto.emr.instance_group import InstanceGroup
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from boto.emr.step import StreamingStep
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import six
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import sure # noqa
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from moto import mock_emr_deprecated
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from tests.helpers import requires_boto_gte
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run_jobflow_args = dict(
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job_flow_role="EMR_EC2_DefaultRole",
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keep_alive=True,
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log_uri="s3://some_bucket/jobflow_logs",
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master_instance_type="c1.medium",
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name="My jobflow",
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num_instances=2,
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service_role="EMR_DefaultRole",
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slave_instance_type="c1.medium",
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)
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input_instance_groups = [
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InstanceGroup(1, "MASTER", "c1.medium", "ON_DEMAND", "master"),
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InstanceGroup(3, "CORE", "c1.medium", "ON_DEMAND", "core"),
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InstanceGroup(6, "TASK", "c1.large", "SPOT", "task-1", "0.07"),
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InstanceGroup(10, "TASK", "c1.xlarge", "SPOT", "task-2", "0.05"),
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]
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@mock_emr_deprecated
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def test_describe_cluster():
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conn = boto.connect_emr()
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args = run_jobflow_args.copy()
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args.update(
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dict(
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api_params={
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"Applications.member.1.Name": "Spark",
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"Applications.member.1.Version": "2.4.2",
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"Configurations.member.1.Classification": "yarn-site",
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"Configurations.member.1.Properties.entry.1.key": "someproperty",
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"Configurations.member.1.Properties.entry.1.value": "somevalue",
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"Configurations.member.1.Properties.entry.2.key": "someotherproperty",
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"Configurations.member.1.Properties.entry.2.value": "someothervalue",
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"Instances.EmrManagedMasterSecurityGroup": "master-security-group",
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"Instances.Ec2SubnetId": "subnet-8be41cec",
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},
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availability_zone="us-east-2b",
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ec2_keyname="mykey",
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job_flow_role="EMR_EC2_DefaultRole",
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keep_alive=False,
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log_uri="s3://some_bucket/jobflow_logs",
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name="My jobflow",
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service_role="EMR_DefaultRole",
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visible_to_all_users=True,
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)
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)
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cluster_id = conn.run_jobflow(**args)
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input_tags = {"tag1": "val1", "tag2": "val2"}
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conn.add_tags(cluster_id, input_tags)
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cluster = conn.describe_cluster(cluster_id)
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cluster.applications[0].name.should.equal("Spark")
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cluster.applications[0].version.should.equal("2.4.2")
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cluster.autoterminate.should.equal("true")
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# configurations appear not be supplied as attributes?
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attrs = cluster.ec2instanceattributes
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# AdditionalMasterSecurityGroups
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# AdditionalSlaveSecurityGroups
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attrs.ec2availabilityzone.should.equal(args["availability_zone"])
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attrs.ec2keyname.should.equal(args["ec2_keyname"])
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attrs.ec2subnetid.should.equal(args["api_params"]["Instances.Ec2SubnetId"])
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# EmrManagedMasterSecurityGroups
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# EmrManagedSlaveSecurityGroups
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attrs.iaminstanceprofile.should.equal(args["job_flow_role"])
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# ServiceAccessSecurityGroup
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cluster.id.should.equal(cluster_id)
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cluster.loguri.should.equal(args["log_uri"])
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cluster.masterpublicdnsname.should.be.a(six.string_types)
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cluster.name.should.equal(args["name"])
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int(cluster.normalizedinstancehours).should.equal(0)
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# cluster.release_label
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cluster.shouldnt.have.property("requestedamiversion")
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cluster.runningamiversion.should.equal("1.0.0")
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# cluster.securityconfiguration
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cluster.servicerole.should.equal(args["service_role"])
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cluster.status.state.should.equal("TERMINATED")
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cluster.status.statechangereason.message.should.be.a(six.string_types)
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cluster.status.statechangereason.code.should.be.a(six.string_types)
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cluster.status.timeline.creationdatetime.should.be.a(six.string_types)
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# cluster.status.timeline.enddatetime.should.be.a(six.string_types)
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# cluster.status.timeline.readydatetime.should.be.a(six.string_types)
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dict((item.key, item.value) for item in cluster.tags).should.equal(input_tags)
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cluster.terminationprotected.should.equal("false")
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cluster.visibletoallusers.should.equal("true")
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@mock_emr_deprecated
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def test_describe_jobflows():
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conn = boto.connect_emr()
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args = run_jobflow_args.copy()
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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 = conn.run_jobflow(**args)
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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 = conn.run_jobflow(**args)
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conn.terminate_jobflow(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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jobs = conn.describe_jobflows()
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jobs.should.have.length_of(6)
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for cluster_id, y in expected.items():
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resp = conn.describe_jobflows(jobflow_ids=[cluster_id])
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resp.should.have.length_of(1)
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resp[0].jobflowid.should.equal(cluster_id)
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resp = conn.describe_jobflows(states=["WAITING"])
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resp.should.have.length_of(4)
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for x in resp:
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x.state.should.equal("WAITING")
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resp = conn.describe_jobflows(created_before=timestamp)
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resp.should.have.length_of(4)
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resp = conn.describe_jobflows(created_after=timestamp)
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resp.should.have.length_of(2)
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@mock_emr_deprecated
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def test_describe_jobflow():
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conn = boto.connect_emr()
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args = run_jobflow_args.copy()
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args.update(
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dict(
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ami_version="3.8.1",
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api_params={
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#'Applications.member.1.Name': 'Spark',
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#'Applications.member.1.Version': '2.4.2',
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#'Configurations.member.1.Classification': 'yarn-site',
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#'Configurations.member.1.Properties.entry.1.key': 'someproperty',
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#'Configurations.member.1.Properties.entry.1.value': 'somevalue',
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#'Instances.EmrManagedMasterSecurityGroup': 'master-security-group',
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"Instances.Ec2SubnetId": "subnet-8be41cec"
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},
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ec2_keyname="mykey",
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hadoop_version="2.4.0",
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name="My jobflow",
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log_uri="s3://some_bucket/jobflow_logs",
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keep_alive=True,
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master_instance_type="c1.medium",
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slave_instance_type="c1.medium",
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num_instances=2,
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availability_zone="us-west-2b",
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job_flow_role="EMR_EC2_DefaultRole",
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service_role="EMR_DefaultRole",
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visible_to_all_users=True,
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)
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)
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cluster_id = conn.run_jobflow(**args)
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jf = conn.describe_jobflow(cluster_id)
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jf.amiversion.should.equal(args["ami_version"])
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jf.bootstrapactions.should.equal(None)
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jf.creationdatetime.should.be.a(six.string_types)
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jf.should.have.property("laststatechangereason")
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jf.readydatetime.should.be.a(six.string_types)
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jf.startdatetime.should.be.a(six.string_types)
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jf.state.should.equal("WAITING")
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jf.ec2keyname.should.equal(args["ec2_keyname"])
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# Ec2SubnetId
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jf.hadoopversion.should.equal(args["hadoop_version"])
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int(jf.instancecount).should.equal(2)
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for ig in jf.instancegroups:
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ig.creationdatetime.should.be.a(six.string_types)
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# ig.enddatetime.should.be.a(six.string_types)
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ig.should.have.property("instancegroupid").being.a(six.string_types)
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int(ig.instancerequestcount).should.equal(1)
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ig.instancerole.should.be.within(["MASTER", "CORE"])
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int(ig.instancerunningcount).should.equal(1)
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ig.instancetype.should.equal("c1.medium")
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ig.laststatechangereason.should.be.a(six.string_types)
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ig.market.should.equal("ON_DEMAND")
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ig.name.should.be.a(six.string_types)
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ig.readydatetime.should.be.a(six.string_types)
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ig.startdatetime.should.be.a(six.string_types)
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ig.state.should.equal("RUNNING")
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jf.keepjobflowalivewhennosteps.should.equal("true")
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jf.masterinstanceid.should.be.a(six.string_types)
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jf.masterinstancetype.should.equal(args["master_instance_type"])
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jf.masterpublicdnsname.should.be.a(six.string_types)
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int(jf.normalizedinstancehours).should.equal(0)
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jf.availabilityzone.should.equal(args["availability_zone"])
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jf.slaveinstancetype.should.equal(args["slave_instance_type"])
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jf.terminationprotected.should.equal("false")
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jf.jobflowid.should.equal(cluster_id)
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# jf.jobflowrole.should.equal(args['job_flow_role'])
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jf.loguri.should.equal(args["log_uri"])
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jf.name.should.equal(args["name"])
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# jf.servicerole.should.equal(args['service_role'])
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jf.steps.should.have.length_of(0)
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list(i.value for i in jf.supported_products).should.equal([])
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jf.visibletoallusers.should.equal("true")
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@mock_emr_deprecated
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def test_list_clusters():
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conn = boto.connect_emr()
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args = run_jobflow_args.copy()
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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 = conn.run_jobflow(**args)
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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 = conn.run_jobflow(**args)
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conn.terminate_jobflow(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 = conn.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(six.string_types)
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if y["state"] == "TERMINATED":
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x.status.timeline.enddatetime.should.be.a(six.string_types)
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else:
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x.status.timeline.shouldnt.have.property("enddatetime")
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x.status.timeline.readydatetime.should.be.a(six.string_types)
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if not hasattr(resp, "marker"):
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break
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args = {"marker": resp.marker}
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resp = conn.list_clusters(cluster_states=["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 = conn.list_clusters(created_before=timestamp)
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resp.clusters.should.have.length_of(40)
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resp = conn.list_clusters(created_after=timestamp)
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resp.clusters.should.have.length_of(30)
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@mock_emr_deprecated
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def test_run_jobflow():
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conn = boto.connect_emr()
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args = run_jobflow_args.copy()
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job_id = conn.run_jobflow(**args)
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job_flow = conn.describe_jobflow(job_id)
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job_flow.state.should.equal("WAITING")
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job_flow.jobflowid.should.equal(job_id)
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job_flow.name.should.equal(args["name"])
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job_flow.masterinstancetype.should.equal(args["master_instance_type"])
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job_flow.slaveinstancetype.should.equal(args["slave_instance_type"])
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job_flow.loguri.should.equal(args["log_uri"])
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job_flow.visibletoallusers.should.equal("false")
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int(job_flow.normalizedinstancehours).should.equal(0)
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job_flow.steps.should.have.length_of(0)
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@mock_emr_deprecated
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def test_run_jobflow_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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conn = boto.emr.connect_to_region(region)
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args = run_jobflow_args.copy()
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args["name"] = region
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cluster_id = conn.run_jobflow(**args)
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regions[region] = {"conn": conn, "cluster_id": cluster_id}
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for region in regions.keys():
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conn = regions[region]["conn"]
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jf = conn.describe_jobflow(regions[region]["cluster_id"])
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jf.name.should.equal(region)
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@requires_boto_gte("2.8")
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@mock_emr_deprecated
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def test_run_jobflow_with_new_params():
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# Test that run_jobflow works with newer params
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conn = boto.connect_emr()
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conn.run_jobflow(**run_jobflow_args)
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@requires_boto_gte("2.8")
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@mock_emr_deprecated
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def test_run_jobflow_with_visible_to_all_users():
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conn = boto.connect_emr()
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for expected in (True, False):
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job_id = conn.run_jobflow(visible_to_all_users=expected, **run_jobflow_args)
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job_flow = conn.describe_jobflow(job_id)
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job_flow.visibletoallusers.should.equal(str(expected).lower())
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@requires_boto_gte("2.8")
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@mock_emr_deprecated
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def test_run_jobflow_with_instance_groups():
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input_groups = dict((g.name, g) for g in input_instance_groups)
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conn = boto.connect_emr()
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job_id = conn.run_jobflow(instance_groups=input_instance_groups, **run_jobflow_args)
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job_flow = conn.describe_jobflow(job_id)
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int(job_flow.instancecount).should.equal(
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sum(g.num_instances for g in input_instance_groups)
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)
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for instance_group in job_flow.instancegroups:
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expected = input_groups[instance_group.name]
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instance_group.should.have.property("instancegroupid")
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int(instance_group.instancerunningcount).should.equal(expected.num_instances)
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instance_group.instancerole.should.equal(expected.role)
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instance_group.instancetype.should.equal(expected.type)
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instance_group.market.should.equal(expected.market)
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if hasattr(expected, "bidprice"):
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instance_group.bidprice.should.equal(expected.bidprice)
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@requires_boto_gte("2.8")
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@mock_emr_deprecated
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def test_set_termination_protection():
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conn = boto.connect_emr()
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job_id = conn.run_jobflow(**run_jobflow_args)
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job_flow = conn.describe_jobflow(job_id)
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job_flow.terminationprotected.should.equal("false")
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conn.set_termination_protection(job_id, True)
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job_flow = conn.describe_jobflow(job_id)
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job_flow.terminationprotected.should.equal("true")
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conn.set_termination_protection(job_id, False)
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job_flow = conn.describe_jobflow(job_id)
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job_flow.terminationprotected.should.equal("false")
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@requires_boto_gte("2.8")
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@mock_emr_deprecated
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def test_set_visible_to_all_users():
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conn = boto.connect_emr()
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args = run_jobflow_args.copy()
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args["visible_to_all_users"] = False
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job_id = conn.run_jobflow(**args)
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job_flow = conn.describe_jobflow(job_id)
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job_flow.visibletoallusers.should.equal("false")
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conn.set_visible_to_all_users(job_id, True)
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job_flow = conn.describe_jobflow(job_id)
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job_flow.visibletoallusers.should.equal("true")
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conn.set_visible_to_all_users(job_id, False)
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job_flow = conn.describe_jobflow(job_id)
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job_flow.visibletoallusers.should.equal("false")
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@mock_emr_deprecated
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def test_terminate_jobflow():
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conn = boto.connect_emr()
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job_id = conn.run_jobflow(**run_jobflow_args)
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flow = conn.describe_jobflows()[0]
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flow.state.should.equal("WAITING")
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conn.terminate_jobflow(job_id)
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flow = conn.describe_jobflows()[0]
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flow.state.should.equal("TERMINATED")
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# testing multiple end points for each feature
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@mock_emr_deprecated
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def test_bootstrap_actions():
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bootstrap_actions = [
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BootstrapAction(
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name="bs1",
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path="path/to/script",
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bootstrap_action_args=["arg1", "arg2&arg3"],
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),
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BootstrapAction(
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name="bs2", path="path/to/anotherscript", bootstrap_action_args=[]
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),
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]
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conn = boto.connect_emr()
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cluster_id = conn.run_jobflow(
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bootstrap_actions=bootstrap_actions, **run_jobflow_args
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)
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jf = conn.describe_jobflow(cluster_id)
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for x, y in zip(jf.bootstrapactions, bootstrap_actions):
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x.name.should.equal(y.name)
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x.path.should.equal(y.path)
|
|
list(o.value for o in x.args).should.equal(y.args())
|
|
|
|
resp = conn.list_bootstrap_actions(cluster_id)
|
|
for i, y in enumerate(bootstrap_actions):
|
|
x = resp.actions[i]
|
|
x.name.should.equal(y.name)
|
|
x.scriptpath.should.equal(y.path)
|
|
list(arg.value for arg in x.args).should.equal(y.args())
|
|
|
|
|
|
@mock_emr_deprecated
|
|
def test_instance_groups():
|
|
input_groups = dict((g.name, g) for g in input_instance_groups)
|
|
|
|
conn = boto.connect_emr()
|
|
args = run_jobflow_args.copy()
|
|
for key in ["master_instance_type", "slave_instance_type", "num_instances"]:
|
|
del args[key]
|
|
args["instance_groups"] = input_instance_groups[:2]
|
|
job_id = conn.run_jobflow(**args)
|
|
|
|
jf = conn.describe_jobflow(job_id)
|
|
base_instance_count = int(jf.instancecount)
|
|
|
|
conn.add_instance_groups(job_id, input_instance_groups[2:])
|
|
|
|
jf = conn.describe_jobflow(job_id)
|
|
int(jf.instancecount).should.equal(
|
|
sum(g.num_instances for g in input_instance_groups)
|
|
)
|
|
for x in jf.instancegroups:
|
|
y = input_groups[x.name]
|
|
if hasattr(y, "bidprice"):
|
|
x.bidprice.should.equal(y.bidprice)
|
|
x.creationdatetime.should.be.a(six.string_types)
|
|
# x.enddatetime.should.be.a(six.string_types)
|
|
x.should.have.property("instancegroupid")
|
|
int(x.instancerequestcount).should.equal(y.num_instances)
|
|
x.instancerole.should.equal(y.role)
|
|
int(x.instancerunningcount).should.equal(y.num_instances)
|
|
x.instancetype.should.equal(y.type)
|
|
x.laststatechangereason.should.be.a(six.string_types)
|
|
x.market.should.equal(y.market)
|
|
x.name.should.be.a(six.string_types)
|
|
x.readydatetime.should.be.a(six.string_types)
|
|
x.startdatetime.should.be.a(six.string_types)
|
|
x.state.should.equal("RUNNING")
|
|
|
|
for x in conn.list_instance_groups(job_id).instancegroups:
|
|
y = input_groups[x.name]
|
|
if hasattr(y, "bidprice"):
|
|
x.bidprice.should.equal(y.bidprice)
|
|
# Configurations
|
|
# EbsBlockDevices
|
|
# EbsOptimized
|
|
x.should.have.property("id")
|
|
x.instancegrouptype.should.equal(y.role)
|
|
x.instancetype.should.equal(y.type)
|
|
x.market.should.equal(y.market)
|
|
x.name.should.equal(y.name)
|
|
int(x.requestedinstancecount).should.equal(y.num_instances)
|
|
int(x.runninginstancecount).should.equal(y.num_instances)
|
|
# ShrinkPolicy
|
|
x.status.state.should.equal("RUNNING")
|
|
x.status.statechangereason.code.should.be.a(six.string_types)
|
|
x.status.statechangereason.message.should.be.a(six.string_types)
|
|
x.status.timeline.creationdatetime.should.be.a(six.string_types)
|
|
# x.status.timeline.enddatetime.should.be.a(six.string_types)
|
|
x.status.timeline.readydatetime.should.be.a(six.string_types)
|
|
|
|
igs = dict((g.name, g) for g in jf.instancegroups)
|
|
|
|
conn.modify_instance_groups(
|
|
[igs["task-1"].instancegroupid, igs["task-2"].instancegroupid], [2, 3]
|
|
)
|
|
jf = conn.describe_jobflow(job_id)
|
|
int(jf.instancecount).should.equal(base_instance_count + 5)
|
|
igs = dict((g.name, g) for g in jf.instancegroups)
|
|
int(igs["task-1"].instancerunningcount).should.equal(2)
|
|
int(igs["task-2"].instancerunningcount).should.equal(3)
|
|
|
|
|
|
@mock_emr_deprecated
|
|
def test_steps():
|
|
input_steps = [
|
|
StreamingStep(
|
|
name="My wordcount example",
|
|
mapper="s3n://elasticmapreduce/samples/wordcount/wordSplitter.py",
|
|
reducer="aggregate",
|
|
input="s3n://elasticmapreduce/samples/wordcount/input",
|
|
output="s3n://output_bucket/output/wordcount_output",
|
|
),
|
|
StreamingStep(
|
|
name="My wordcount example & co.",
|
|
mapper="s3n://elasticmapreduce/samples/wordcount/wordSplitter2.py",
|
|
reducer="aggregate",
|
|
input="s3n://elasticmapreduce/samples/wordcount/input2",
|
|
output="s3n://output_bucket/output/wordcount_output2",
|
|
),
|
|
]
|
|
|
|
# TODO: implementation and test for cancel_steps
|
|
|
|
conn = boto.connect_emr()
|
|
cluster_id = conn.run_jobflow(steps=[input_steps[0]], **run_jobflow_args)
|
|
|
|
jf = conn.describe_jobflow(cluster_id)
|
|
jf.steps.should.have.length_of(1)
|
|
|
|
conn.add_jobflow_steps(cluster_id, [input_steps[1]])
|
|
|
|
jf = conn.describe_jobflow(cluster_id)
|
|
jf.steps.should.have.length_of(2)
|
|
for step in jf.steps:
|
|
step.actiononfailure.should.equal("TERMINATE_JOB_FLOW")
|
|
list(arg.value for arg in step.args).should.have.length_of(8)
|
|
step.creationdatetime.should.be.a(six.string_types)
|
|
# step.enddatetime.should.be.a(six.string_types)
|
|
step.jar.should.equal("/home/hadoop/contrib/streaming/hadoop-streaming.jar")
|
|
step.laststatechangereason.should.be.a(six.string_types)
|
|
step.mainclass.should.equal("")
|
|
step.name.should.be.a(six.string_types)
|
|
# step.readydatetime.should.be.a(six.string_types)
|
|
# step.startdatetime.should.be.a(six.string_types)
|
|
step.state.should.be.within(["STARTING", "PENDING"])
|
|
|
|
expected = dict((s.name, s) for s in input_steps)
|
|
|
|
steps = conn.list_steps(cluster_id).steps
|
|
for x in steps:
|
|
y = expected[x.name]
|
|
# actiononfailure
|
|
list(arg.value for arg in x.config.args).should.equal(
|
|
[
|
|
"-mapper",
|
|
y.mapper,
|
|
"-reducer",
|
|
y.reducer,
|
|
"-input",
|
|
y.input,
|
|
"-output",
|
|
y.output,
|
|
]
|
|
)
|
|
x.config.jar.should.equal("/home/hadoop/contrib/streaming/hadoop-streaming.jar")
|
|
x.config.mainclass.should.equal("")
|
|
# properties
|
|
x.should.have.property("id").should.be.a(six.string_types)
|
|
x.name.should.equal(y.name)
|
|
x.status.state.should.be.within(["STARTING", "PENDING"])
|
|
# x.status.statechangereason
|
|
x.status.timeline.creationdatetime.should.be.a(six.string_types)
|
|
# x.status.timeline.enddatetime.should.be.a(six.string_types)
|
|
# x.status.timeline.startdatetime.should.be.a(six.string_types)
|
|
|
|
x = conn.describe_step(cluster_id, x.id)
|
|
list(arg.value for arg in x.config.args).should.equal(
|
|
[
|
|
"-mapper",
|
|
y.mapper,
|
|
"-reducer",
|
|
y.reducer,
|
|
"-input",
|
|
y.input,
|
|
"-output",
|
|
y.output,
|
|
]
|
|
)
|
|
x.config.jar.should.equal("/home/hadoop/contrib/streaming/hadoop-streaming.jar")
|
|
x.config.mainclass.should.equal("")
|
|
# properties
|
|
x.should.have.property("id").should.be.a(six.string_types)
|
|
x.name.should.equal(y.name)
|
|
x.status.state.should.be.within(["STARTING", "PENDING"])
|
|
# x.status.statechangereason
|
|
x.status.timeline.creationdatetime.should.be.a(six.string_types)
|
|
# x.status.timeline.enddatetime.should.be.a(six.string_types)
|
|
# x.status.timeline.startdatetime.should.be.a(six.string_types)
|
|
|
|
@requires_boto_gte("2.39")
|
|
def test_list_steps_with_states():
|
|
# boto's list_steps prior to 2.39 has a bug that ignores
|
|
# step_states argument.
|
|
steps = conn.list_steps(cluster_id).steps
|
|
step_id = steps[0].id
|
|
steps = conn.list_steps(cluster_id, step_states=["STARTING"]).steps
|
|
steps.should.have.length_of(1)
|
|
steps[0].id.should.equal(step_id)
|
|
|
|
test_list_steps_with_states()
|
|
|
|
|
|
@mock_emr_deprecated
|
|
def test_tags():
|
|
input_tags = {"tag1": "val1", "tag2": "val2"}
|
|
|
|
conn = boto.connect_emr()
|
|
cluster_id = conn.run_jobflow(**run_jobflow_args)
|
|
|
|
conn.add_tags(cluster_id, input_tags)
|
|
cluster = conn.describe_cluster(cluster_id)
|
|
cluster.tags.should.have.length_of(2)
|
|
dict((t.key, t.value) for t in cluster.tags).should.equal(input_tags)
|
|
|
|
conn.remove_tags(cluster_id, list(input_tags.keys()))
|
|
cluster = conn.describe_cluster(cluster_id)
|
|
cluster.tags.should.have.length_of(0)
|