/** * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package realis import ( "github.com/rdelval/gorealis/gen-go/apache/aurora" "strconv" ) type Job interface { // Set Job Key environment. Environment(env string) Job Role(role string) Job Name(name string) Job CPU(cpus float64) Job CronSchedule(cron string) Job CronCollisionPolicy(policy aurora.CronCollisionPolicy) Job Disk(disk int64) Job RAM(ram int64) Job ExecutorName(name string) Job ExecutorData(data string) Job AddPorts(num int) Job AddLabel(key string, value string) Job AddNamedPorts(names ...string) Job AddLimitConstraint(name string, limit int32) Job AddValueConstraint(name string, negated bool, values ...string) Job AddURIs(extract bool, cache bool, values ...string) Job JobKey() *aurora.JobKey JobConfig() *aurora.JobConfiguration TaskConfig() *aurora.TaskConfig IsService(isService bool) Job InstanceCount(instCount int32) Job GetInstanceCount() int32 MaxFailure(maxFail int32) Job Container(container Container) Job } // Structure to collect all information pertaining to an Aurora job. type AuroraJob struct { jobConfig *aurora.JobConfiguration resources map[string]*aurora.Resource portCount int } // Create a Job object with everything initialized. func NewJob() Job { jobConfig := aurora.NewJobConfiguration() taskConfig := aurora.NewTaskConfig() jobKey := aurora.NewJobKey() //Job Config jobConfig.Key = jobKey jobConfig.TaskConfig = taskConfig //Task Config taskConfig.Job = jobKey taskConfig.Container = aurora.NewContainer() taskConfig.Container.Mesos = aurora.NewMesosContainer() taskConfig.ExecutorConfig = aurora.NewExecutorConfig() taskConfig.MesosFetcherUris = make(map[*aurora.MesosFetcherURI]bool) taskConfig.Metadata = make(map[*aurora.Metadata]bool) taskConfig.Constraints = make(map[*aurora.Constraint]bool) //Resources numCpus := aurora.NewResource() ramMb := aurora.NewResource() diskMb := aurora.NewResource() resources := make(map[string]*aurora.Resource) resources["cpu"] = numCpus resources["ram"] = ramMb resources["disk"] = diskMb taskConfig.Resources = make(map[*aurora.Resource]bool) taskConfig.Resources[numCpus] = true taskConfig.Resources[ramMb] = true taskConfig.Resources[diskMb] = true return AuroraJob{jobConfig, resources, 0} } // Set Job Key environment. func (j AuroraJob) Environment(env string) Job { j.jobConfig.Key.Environment = env return j } // Set Job Key Role. func (j AuroraJob) Role(role string) Job { j.jobConfig.Key.Role = role //Will be deprecated identity := &aurora.Identity{role} j.jobConfig.Owner = identity j.jobConfig.TaskConfig.Owner = identity return j } // Set Job Key Name. func (j AuroraJob) Name(name string) Job { j.jobConfig.Key.Name = name return j } // Set name of the executor that will the task will be configured to. func (j AuroraJob) ExecutorName(name string) Job { j.jobConfig.TaskConfig.ExecutorConfig.Name = name return j } // Will be included as part of entire task inside the scheduler that will be serialized. func (j AuroraJob) ExecutorData(data string) Job { j.jobConfig.TaskConfig.ExecutorConfig.Data = data return j } func (j AuroraJob) CPU(cpus float64) Job { j.resources["cpu"].NumCpus = &cpus j.jobConfig.TaskConfig.NumCpus = cpus //Will be deprecated soon return j } func (j AuroraJob) RAM(ram int64) Job { j.resources["ram"].RamMb = &ram j.jobConfig.TaskConfig.RamMb = ram //Will be deprecated soon return j } func (j AuroraJob) Disk(disk int64) Job { j.resources["disk"].DiskMb = &disk j.jobConfig.TaskConfig.DiskMb = disk //Will be deprecated return j } // How many failures to tolerate before giving up. func (j AuroraJob) MaxFailure(maxFail int32) Job { j.jobConfig.TaskConfig.MaxTaskFailures = maxFail return j } // How many instances of the job to run func (j AuroraJob) InstanceCount(instCount int32) Job { j.jobConfig.InstanceCount = instCount return j } func (j AuroraJob) CronSchedule(cron string) Job { j.jobConfig.CronSchedule = &cron return j } func (j AuroraJob) CronCollisionPolicy(policy aurora.CronCollisionPolicy) Job { j.jobConfig.CronCollisionPolicy = policy return j } // How many instances of the job to run func (j AuroraJob) GetInstanceCount() int32 { return j.jobConfig.InstanceCount } // Restart the job's tasks if they fail func (j AuroraJob) IsService(isService bool) Job { j.jobConfig.TaskConfig.IsService = isService return j } // Get the current job configurations key to use for some realis calls. func (j AuroraJob) JobKey() *aurora.JobKey { return j.jobConfig.Key } // Get the current job configurations key to use for some realis calls. func (j AuroraJob) JobConfig() *aurora.JobConfiguration { return j.jobConfig } func (j AuroraJob) TaskConfig() *aurora.TaskConfig { return j.jobConfig.TaskConfig } // Add a list of URIs with the same extract and cache configuration. Scheduler must have // --enable_mesos_fetcher flag enabled. Currently there is no duplicate detection. func (j AuroraJob) AddURIs(extract bool, cache bool, values ...string) Job { for _, value := range values { j.jobConfig. TaskConfig. MesosFetcherUris[&aurora.MesosFetcherURI{value, &extract, &cache}] = true } return j } // Adds a Mesos label to the job. Note that Aurora will add the // prefix "org.apache.aurora.metadata." to the beginning of each key. func (j AuroraJob) AddLabel(key string, value string) Job { j.jobConfig.TaskConfig.Metadata[&aurora.Metadata{key, value}] = true return j } // Add a named port to the job configuration These are random ports as it's // not currently possible to request specific ports using Aurora. func (j AuroraJob) AddNamedPorts(names ...string) Job { j.portCount += len(names) for _, name := range names { j.jobConfig.TaskConfig.Resources[&aurora.Resource{NamedPort: &name}] = true } return j } // Adds a request for a number of ports to the job configuration. The names chosen for these ports // will be org.apache.aurora.port.X, where X is the current port count for the job configuration // starting at 0. These are random ports as it's not currently possible to request // specific ports using Aurora. func (j AuroraJob) AddPorts(num int) Job { start := j.portCount j.portCount += num for i := start; i < j.portCount; i++ { portName := "org.apache.aurora.port." + strconv.Itoa(i) j.jobConfig.TaskConfig.Resources[&aurora.Resource{NamedPort: &portName}] = true } return j } // From Aurora Docs: // Add a Value constraint // name - Mesos slave attribute that the constraint is matched against. // If negated = true , treat this as a 'not' - to avoid specific values. // Values - list of values we look for in attribute name func (j AuroraJob) AddValueConstraint(name string, negated bool, values ...string) Job { constraintValues := make(map[string]bool) for _, value := range values { constraintValues[value] = true } j.jobConfig.TaskConfig.Constraints[&aurora.Constraint{name, &aurora.TaskConstraint{&aurora.ValueConstraint{negated, constraintValues}, nil}}] = true return j } // From Aurora Docs: // A constraint that specifies the maximum number of active tasks on a host with // a matching attribute that may be scheduled simultaneously. func (j AuroraJob) AddLimitConstraint(name string, limit int32) Job { j.jobConfig.TaskConfig.Constraints[&aurora.Constraint{name, &aurora.TaskConstraint{nil, &aurora.LimitConstraint{limit}}}] = true return j } // Set a container to run for the job configuration to run. // TODO (rdelvalle): Add no thermos mode where container is launched as a task and not an executor. func (j AuroraJob) Container(container Container) Job { j.jobConfig.TaskConfig.Container = container.Build() return j }