626629ef82
This is according to the AWS EMR documentation[1] and has been verified against a real AWS backend. [1]:https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/emr.html#EMR.Client.list_steps
713 lines
25 KiB
Python
713 lines
25 KiB
Python
from datetime import datetime
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from datetime import timedelta
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import warnings
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import pytz
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from dateutil.parser import parse as dtparse
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from moto.core import ACCOUNT_ID, BaseBackend, BaseModel
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from moto.core.utils import BackendDict
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from moto.emr.exceptions import (
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InvalidRequestException,
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ValidationException,
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ResourceNotFoundException,
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)
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from .utils import (
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random_instance_group_id,
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random_cluster_id,
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random_step_id,
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CamelToUnderscoresWalker,
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EmrSecurityGroupManager,
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)
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EXAMPLE_AMI_ID = "ami-12c6146b"
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class FakeApplication(BaseModel):
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def __init__(self, name, version, args=None, additional_info=None):
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self.additional_info = additional_info or {}
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self.args = args or []
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self.name = name
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self.version = version
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class FakeBootstrapAction(BaseModel):
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def __init__(self, args, name, script_path):
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self.args = args or []
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self.name = name
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self.script_path = script_path
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class FakeInstance(BaseModel):
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def __init__(
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self, ec2_instance_id, instance_group, instance_fleet_id=None, instance_id=None
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):
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self.id = instance_id or random_instance_group_id()
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self.ec2_instance_id = ec2_instance_id
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self.instance_group = instance_group
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self.instance_fleet_id = instance_fleet_id
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class FakeInstanceGroup(BaseModel):
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def __init__(
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self,
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cluster_id,
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instance_count,
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instance_role,
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instance_type,
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market="ON_DEMAND",
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name=None,
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instance_group_id=None,
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bid_price=None,
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ebs_configuration=None,
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auto_scaling_policy=None,
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):
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self.id = instance_group_id or random_instance_group_id()
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self.cluster_id = cluster_id
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self.bid_price = bid_price
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self.market = market
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if name is None:
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if instance_role == "MASTER":
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name = "master"
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elif instance_role == "CORE":
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name = "slave"
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else:
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name = "Task instance group"
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self.name = name
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self.num_instances = instance_count
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self.role = instance_role
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self.type = instance_type
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self.ebs_configuration = ebs_configuration
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self.auto_scaling_policy = auto_scaling_policy
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self.creation_datetime = datetime.now(pytz.utc)
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self.start_datetime = datetime.now(pytz.utc)
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self.ready_datetime = datetime.now(pytz.utc)
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self.end_datetime = None
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self.state = "RUNNING"
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def set_instance_count(self, instance_count):
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self.num_instances = instance_count
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@property
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def auto_scaling_policy(self):
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return self._auto_scaling_policy
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@auto_scaling_policy.setter
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def auto_scaling_policy(self, value):
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if value is None:
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self._auto_scaling_policy = value
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return
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self._auto_scaling_policy = CamelToUnderscoresWalker.parse(value)
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self._auto_scaling_policy["status"] = {"state": "ATTACHED"}
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# Transform common ${emr.clusterId} placeholder in any dimensions it occurs in.
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if "rules" in self._auto_scaling_policy:
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for rule in self._auto_scaling_policy["rules"]:
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if (
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"trigger" in rule
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and "cloud_watch_alarm_definition" in rule["trigger"]
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and "dimensions" in rule["trigger"]["cloud_watch_alarm_definition"]
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):
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for dimension in rule["trigger"]["cloud_watch_alarm_definition"][
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"dimensions"
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]:
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if (
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"value" in dimension
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and dimension["value"] == "${emr.clusterId}"
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):
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dimension["value"] = self.cluster_id
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class FakeStep(BaseModel):
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def __init__(
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self,
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state,
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name="",
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jar="",
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args=None,
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properties=None,
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action_on_failure="TERMINATE_CLUSTER",
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):
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self.id = random_step_id()
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self.action_on_failure = action_on_failure
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self.args = args or []
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self.name = name
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self.jar = jar
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self.properties = properties or {}
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self.creation_datetime = datetime.now(pytz.utc)
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self.end_datetime = None
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self.ready_datetime = None
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self.start_datetime = None
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self.state = state
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def start(self):
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self.start_datetime = datetime.now(pytz.utc)
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class FakeCluster(BaseModel):
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def __init__(
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self,
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emr_backend,
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name,
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log_uri,
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job_flow_role,
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service_role,
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steps,
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instance_attrs,
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bootstrap_actions=None,
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configurations=None,
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cluster_id=None,
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visible_to_all_users="false",
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release_label=None,
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requested_ami_version=None,
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running_ami_version=None,
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custom_ami_id=None,
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step_concurrency_level=1,
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security_configuration=None,
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kerberos_attributes=None,
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auto_scaling_role=None,
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):
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self.id = cluster_id or random_cluster_id()
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emr_backend.clusters[self.id] = self
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self.emr_backend = emr_backend
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self.applications = []
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self.bootstrap_actions = []
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for bootstrap_action in bootstrap_actions or []:
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self.add_bootstrap_action(bootstrap_action)
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self.configurations = configurations or []
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self.tags = {}
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self.log_uri = log_uri
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self.name = name
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self.normalized_instance_hours = 0
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self.steps = []
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self.add_steps(steps)
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self.set_visibility(visible_to_all_users)
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self.instance_group_ids = []
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self.instances = []
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self.master_instance_group_id = None
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self.core_instance_group_id = None
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if (
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"master_instance_type" in instance_attrs
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and instance_attrs["master_instance_type"]
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):
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self.emr_backend.add_instance_groups(
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self.id,
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[
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{
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"instance_count": 1,
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"instance_role": "MASTER",
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"instance_type": instance_attrs["master_instance_type"],
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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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)
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if (
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"slave_instance_type" in instance_attrs
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and instance_attrs["slave_instance_type"]
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):
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self.emr_backend.add_instance_groups(
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self.id,
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[
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{
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"instance_count": instance_attrs["instance_count"] - 1,
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"instance_role": "CORE",
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"instance_type": instance_attrs["slave_instance_type"],
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"market": "ON_DEMAND",
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"name": "slave",
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}
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],
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)
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self.additional_master_security_groups = instance_attrs.get(
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"additional_master_security_groups"
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)
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self.additional_slave_security_groups = instance_attrs.get(
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"additional_slave_security_groups"
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)
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self.availability_zone = instance_attrs.get("availability_zone")
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self.ec2_key_name = instance_attrs.get("ec2_key_name")
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self.ec2_subnet_id = instance_attrs.get("ec2_subnet_id")
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self.hadoop_version = instance_attrs.get("hadoop_version")
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self.keep_job_flow_alive_when_no_steps = instance_attrs.get(
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"keep_job_flow_alive_when_no_steps"
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)
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self.master_security_group = instance_attrs.get(
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"emr_managed_master_security_group"
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)
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self.service_access_security_group = instance_attrs.get(
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"service_access_security_group"
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)
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self.slave_security_group = instance_attrs.get(
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"emr_managed_slave_security_group"
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)
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self.termination_protected = instance_attrs.get("termination_protected")
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self.release_label = release_label
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self.requested_ami_version = requested_ami_version
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self.running_ami_version = running_ami_version
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self.custom_ami_id = custom_ami_id
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self.role = job_flow_role or "EMRJobflowDefault"
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self.service_role = service_role
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self.step_concurrency_level = step_concurrency_level
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self.creation_datetime = datetime.now(pytz.utc)
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self.start_datetime = None
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self.ready_datetime = None
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self.end_datetime = None
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self.state = None
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self.start_cluster()
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self.run_bootstrap_actions()
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if self.steps:
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self.steps[0].start()
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self.security_configuration = (
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security_configuration # ToDo: Raise if doesn't already exist.
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)
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self.kerberos_attributes = kerberos_attributes
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self.auto_scaling_role = auto_scaling_role
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@property
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def arn(self):
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return "arn:aws:elasticmapreduce:{0}:{1}:cluster/{2}".format(
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self.emr_backend.region_name, ACCOUNT_ID, self.id
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)
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@property
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def instance_groups(self):
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return self.emr_backend.get_instance_groups(self.instance_group_ids)
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@property
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def master_instance_type(self):
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return self.emr_backend.instance_groups[self.master_instance_group_id].type
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@property
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def slave_instance_type(self):
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return self.emr_backend.instance_groups[self.core_instance_group_id].type
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@property
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def instance_count(self):
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return sum(group.num_instances for group in self.instance_groups)
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def start_cluster(self):
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self.state = "STARTING"
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self.start_datetime = datetime.now(pytz.utc)
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def run_bootstrap_actions(self):
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self.state = "BOOTSTRAPPING"
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self.ready_datetime = datetime.now(pytz.utc)
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self.state = "WAITING"
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if not self.steps:
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if not self.keep_job_flow_alive_when_no_steps:
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self.terminate()
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def terminate(self):
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self.state = "TERMINATING"
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self.end_datetime = datetime.now(pytz.utc)
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self.state = "TERMINATED"
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def add_applications(self, applications):
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self.applications.extend(
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[
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FakeApplication(
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name=app.get("name", ""),
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version=app.get("version", ""),
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args=app.get("args", []),
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additional_info=app.get("additiona_info", {}),
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)
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for app in applications
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]
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)
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def add_bootstrap_action(self, bootstrap_action):
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self.bootstrap_actions.append(FakeBootstrapAction(**bootstrap_action))
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def add_instance_group(self, instance_group):
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if instance_group.role == "MASTER":
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if self.master_instance_group_id:
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raise Exception("Cannot add another master instance group")
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self.master_instance_group_id = instance_group.id
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num_master_nodes = instance_group.num_instances
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if num_master_nodes > 1:
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# Cluster is HA
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if num_master_nodes != 3:
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raise ValidationException(
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"Master instance group must have exactly 3 instances for HA clusters."
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)
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self.keep_job_flow_alive_when_no_steps = True
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self.termination_protected = True
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if instance_group.role == "CORE":
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if self.core_instance_group_id:
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raise Exception("Cannot add another core instance group")
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self.core_instance_group_id = instance_group.id
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self.instance_group_ids.append(instance_group.id)
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def add_instance(self, instance):
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self.instances.append(instance)
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def add_steps(self, steps):
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added_steps = []
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for step in steps:
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if self.steps:
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# If we already have other steps, this one is pending
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fake = FakeStep(state="PENDING", **step)
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else:
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fake = FakeStep(state="RUNNING", **step)
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self.steps.append(fake)
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added_steps.append(fake)
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self.state = "RUNNING"
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return added_steps
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def add_tags(self, tags):
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self.tags.update(tags)
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def remove_tags(self, tag_keys):
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for key in tag_keys:
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self.tags.pop(key, None)
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def set_termination_protection(self, value):
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self.termination_protected = value
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def set_visibility(self, visibility):
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self.visible_to_all_users = visibility
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class FakeSecurityConfiguration(BaseModel):
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def __init__(self, name, security_configuration):
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self.name = name
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self.security_configuration = security_configuration
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self.creation_date_time = datetime.now(pytz.utc)
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class ElasticMapReduceBackend(BaseBackend):
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def __init__(self, region_name):
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super().__init__()
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self.region_name = region_name
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self.clusters = {}
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self.instance_groups = {}
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self.security_configurations = {}
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def reset(self):
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region_name = self.region_name
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self.__dict__ = {}
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self.__init__(region_name)
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@staticmethod
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def default_vpc_endpoint_service(service_region, zones):
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"""Default VPC endpoint service."""
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return BaseBackend.default_vpc_endpoint_service_factory(
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service_region, zones, "elasticmapreduce"
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)
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@property
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def ec2_backend(self):
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"""
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:return: EC2 Backend
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:rtype: moto.ec2.models.EC2Backend
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"""
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from moto.ec2 import ec2_backends
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return ec2_backends[self.region_name]
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def add_applications(self, cluster_id, applications):
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cluster = self.describe_cluster(cluster_id)
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cluster.add_applications(applications)
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def add_instance_groups(self, cluster_id, instance_groups):
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cluster = self.clusters[cluster_id]
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result_groups = []
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for instance_group in instance_groups:
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group = FakeInstanceGroup(cluster_id=cluster_id, **instance_group)
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self.instance_groups[group.id] = group
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cluster.add_instance_group(group)
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result_groups.append(group)
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return result_groups
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def add_instances(self, cluster_id, instances, instance_group):
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cluster = self.clusters[cluster_id]
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response = self.ec2_backend.add_instances(
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EXAMPLE_AMI_ID, instances["instance_count"], "", [], **instances
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)
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for instance in response.instances:
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instance = FakeInstance(
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ec2_instance_id=instance.id, instance_group=instance_group
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)
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cluster.add_instance(instance)
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def add_job_flow_steps(self, job_flow_id, steps):
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cluster = self.clusters[job_flow_id]
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steps = cluster.add_steps(steps)
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return steps
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def add_tags(self, cluster_id, tags):
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cluster = self.describe_cluster(cluster_id)
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cluster.add_tags(tags)
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def describe_job_flows(
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self,
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job_flow_ids=None,
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job_flow_states=None,
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created_after=None,
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created_before=None,
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):
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clusters = self.clusters.values()
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within_two_month = datetime.now(pytz.utc) - timedelta(days=60)
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clusters = [c for c in clusters if c.creation_datetime >= within_two_month]
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if job_flow_ids:
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clusters = [c for c in clusters if c.id in job_flow_ids]
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if job_flow_states:
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clusters = [c for c in clusters if c.state in job_flow_states]
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if created_after:
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created_after = dtparse(created_after)
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clusters = [c for c in clusters if c.creation_datetime > created_after]
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if created_before:
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created_before = dtparse(created_before)
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clusters = [c for c in clusters if c.creation_datetime < created_before]
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# Amazon EMR can return a maximum of 512 job flow descriptions
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return sorted(clusters, key=lambda x: x.id)[:512]
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def describe_step(self, cluster_id, step_id):
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cluster = self.clusters[cluster_id]
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for step in cluster.steps:
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if step.id == step_id:
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return step
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def describe_cluster(self, cluster_id):
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if cluster_id in self.clusters:
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return self.clusters[cluster_id]
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raise ResourceNotFoundException("")
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def get_instance_groups(self, instance_group_ids):
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return [
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group
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for group_id, group in self.instance_groups.items()
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if group_id in instance_group_ids
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]
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def list_bootstrap_actions(self, cluster_id, marker=None):
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max_items = 50
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actions = self.clusters[cluster_id].bootstrap_actions
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start_idx = 0 if marker is None else int(marker)
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marker = (
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None
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if len(actions) <= start_idx + max_items
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else str(start_idx + max_items)
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)
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return actions[start_idx : start_idx + max_items], marker
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def list_clusters(
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self, cluster_states=None, created_after=None, created_before=None, marker=None
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):
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max_items = 50
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clusters = self.clusters.values()
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if cluster_states:
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clusters = [c for c in clusters if c.state in cluster_states]
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if created_after:
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created_after = dtparse(created_after)
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clusters = [c for c in clusters if c.creation_datetime > created_after]
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if created_before:
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created_before = dtparse(created_before)
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clusters = [c for c in clusters if c.creation_datetime < created_before]
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clusters = sorted(clusters, key=lambda x: x.id)
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start_idx = 0 if marker is None else int(marker)
|
|
marker = (
|
|
None
|
|
if len(clusters) <= start_idx + max_items
|
|
else str(start_idx + max_items)
|
|
)
|
|
return clusters[start_idx : start_idx + max_items], marker
|
|
|
|
def list_instance_groups(self, cluster_id, marker=None):
|
|
max_items = 50
|
|
groups = sorted(self.clusters[cluster_id].instance_groups, key=lambda x: x.id)
|
|
start_idx = 0 if marker is None else int(marker)
|
|
marker = (
|
|
None if len(groups) <= start_idx + max_items else str(start_idx + max_items)
|
|
)
|
|
return groups[start_idx : start_idx + max_items], marker
|
|
|
|
def list_instances(
|
|
self, cluster_id, marker=None, instance_group_id=None, instance_group_types=None
|
|
):
|
|
max_items = 50
|
|
groups = sorted(self.clusters[cluster_id].instances, key=lambda x: x.id)
|
|
start_idx = 0 if marker is None else int(marker)
|
|
marker = (
|
|
None if len(groups) <= start_idx + max_items else str(start_idx + max_items)
|
|
)
|
|
if instance_group_id:
|
|
groups = [g for g in groups if g.instance_group.id == instance_group_id]
|
|
if instance_group_types:
|
|
groups = [
|
|
g for g in groups if g.instance_group.role in instance_group_types
|
|
]
|
|
for g in groups:
|
|
g.details = self.ec2_backend.get_instance(g.ec2_instance_id)
|
|
return groups[start_idx : start_idx + max_items], marker
|
|
|
|
def list_steps(self, cluster_id, marker=None, step_ids=None, step_states=None):
|
|
max_items = 50
|
|
steps = sorted(
|
|
self.clusters[cluster_id].steps,
|
|
key=lambda o: o.creation_datetime,
|
|
reverse=True,
|
|
)
|
|
if step_ids:
|
|
steps = [s for s in steps if s.id in step_ids]
|
|
if step_states:
|
|
steps = [s for s in steps if s.state in step_states]
|
|
start_idx = 0 if marker is None else int(marker)
|
|
marker = (
|
|
None if len(steps) <= start_idx + max_items else str(start_idx + max_items)
|
|
)
|
|
return steps[start_idx : start_idx + max_items], marker
|
|
|
|
def modify_cluster(self, cluster_id, step_concurrency_level):
|
|
cluster = self.clusters[cluster_id]
|
|
cluster.step_concurrency_level = step_concurrency_level
|
|
return cluster
|
|
|
|
def modify_instance_groups(self, instance_groups):
|
|
result_groups = []
|
|
for instance_group in instance_groups:
|
|
group = self.instance_groups[instance_group["instance_group_id"]]
|
|
group.set_instance_count(int(instance_group["instance_count"]))
|
|
return result_groups
|
|
|
|
def remove_tags(self, cluster_id, tag_keys):
|
|
cluster = self.describe_cluster(cluster_id)
|
|
cluster.remove_tags(tag_keys)
|
|
|
|
def _manage_security_groups(
|
|
self,
|
|
ec2_subnet_id,
|
|
emr_managed_master_security_group,
|
|
emr_managed_slave_security_group,
|
|
service_access_security_group,
|
|
**_
|
|
):
|
|
default_return_value = (
|
|
emr_managed_master_security_group,
|
|
emr_managed_slave_security_group,
|
|
service_access_security_group,
|
|
)
|
|
if not ec2_subnet_id:
|
|
# TODO: Set up Security Groups in Default VPC.
|
|
return default_return_value
|
|
|
|
from moto.ec2.exceptions import InvalidSubnetIdError
|
|
|
|
try:
|
|
subnet = self.ec2_backend.get_subnet(ec2_subnet_id)
|
|
except InvalidSubnetIdError:
|
|
warnings.warn(
|
|
"Could not find Subnet with id: {0}\n"
|
|
"In the near future, this will raise an error.\n"
|
|
"Use ec2.describe_subnets() to find a suitable id "
|
|
"for your test.".format(ec2_subnet_id),
|
|
PendingDeprecationWarning,
|
|
)
|
|
return default_return_value
|
|
|
|
manager = EmrSecurityGroupManager(self.ec2_backend, subnet.vpc_id)
|
|
master, slave, service = manager.manage_security_groups(
|
|
emr_managed_master_security_group,
|
|
emr_managed_slave_security_group,
|
|
service_access_security_group,
|
|
)
|
|
return master.id, slave.id, service.id
|
|
|
|
def run_job_flow(self, **kwargs):
|
|
(
|
|
kwargs["instance_attrs"]["emr_managed_master_security_group"],
|
|
kwargs["instance_attrs"]["emr_managed_slave_security_group"],
|
|
kwargs["instance_attrs"]["service_access_security_group"],
|
|
) = self._manage_security_groups(**kwargs["instance_attrs"])
|
|
return FakeCluster(self, **kwargs)
|
|
|
|
def set_visible_to_all_users(self, job_flow_ids, visible_to_all_users):
|
|
for job_flow_id in job_flow_ids:
|
|
cluster = self.clusters[job_flow_id]
|
|
cluster.set_visibility(visible_to_all_users)
|
|
|
|
def set_termination_protection(self, job_flow_ids, value):
|
|
for job_flow_id in job_flow_ids:
|
|
cluster = self.clusters[job_flow_id]
|
|
cluster.set_termination_protection(value)
|
|
|
|
def terminate_job_flows(self, job_flow_ids):
|
|
clusters_terminated = []
|
|
clusters_protected = []
|
|
for job_flow_id in job_flow_ids:
|
|
cluster = self.clusters[job_flow_id]
|
|
if cluster.termination_protected:
|
|
clusters_protected.append(cluster)
|
|
continue
|
|
cluster.terminate()
|
|
clusters_terminated.append(cluster)
|
|
if clusters_protected:
|
|
raise ValidationException(
|
|
"Could not shut down one or more job flows since they are termination protected."
|
|
)
|
|
return clusters_terminated
|
|
|
|
def put_auto_scaling_policy(self, instance_group_id, auto_scaling_policy):
|
|
instance_groups = self.get_instance_groups(
|
|
instance_group_ids=[instance_group_id]
|
|
)
|
|
if len(instance_groups) == 0:
|
|
return None
|
|
instance_group = instance_groups[0]
|
|
instance_group.auto_scaling_policy = auto_scaling_policy
|
|
return instance_group
|
|
|
|
def remove_auto_scaling_policy(self, instance_group_id):
|
|
self.put_auto_scaling_policy(instance_group_id, auto_scaling_policy=None)
|
|
|
|
def create_security_configuration(self, name, security_configuration):
|
|
if name in self.security_configurations:
|
|
raise InvalidRequestException(
|
|
message="SecurityConfiguration with name '{}' already exists.".format(
|
|
name
|
|
)
|
|
)
|
|
security_configuration = FakeSecurityConfiguration(
|
|
name=name, security_configuration=security_configuration
|
|
)
|
|
self.security_configurations[name] = security_configuration
|
|
return security_configuration
|
|
|
|
def get_security_configuration(self, name):
|
|
if name not in self.security_configurations:
|
|
raise InvalidRequestException(
|
|
message="Security configuration with name '{}' does not exist.".format(
|
|
name
|
|
)
|
|
)
|
|
return self.security_configurations[name]
|
|
|
|
def delete_security_configuration(self, name):
|
|
if name not in self.security_configurations:
|
|
raise InvalidRequestException(
|
|
message="Security configuration with name '{}' does not exist.".format(
|
|
name
|
|
)
|
|
)
|
|
del self.security_configurations[name]
|
|
|
|
|
|
emr_backends = BackendDict(ElasticMapReduceBackend, "emr")
|