def test_build_workflow_for_job_pig(self, job_binary):
job, job_exec = _create_all_stack(edp.JOB_TYPE_PIG)
job_binary.return_value = {"name": "script.pig"}
input_data = _create_data_source("swift://ex.sahara/i")
output_data = _create_data_source("swift://ex.sahara/o")
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec, input_data, output_data)
self.assertIn(
"""
<param>INPUT=swift://ex.sahara/i</param>
<param>OUTPUT=swift://ex.sahara/o</param>""",
res,
)
self.assertIn(
"""
<configuration>
<property>
<name>fs.swift.service.sahara.password</name>
<value>admin1</value>
</property>
<property>
<name>fs.swift.service.sahara.username</name>
<value>admin</value>
</property>
</configuration>""",
res,
)
self.assertIn("<script>script.pig</script>", res)
def _build_workflow_with_conf_common(self, job_type):
job, _ = _create_all_stack(job_type)
input_data = _create_data_source('swift://ex.sahara/i')
output_data = _create_data_source('swift://ex.sahara/o')
job_exec = _create_job_exec(job.id,
job_type, configs={"configs": {'c': 'f'}})
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec,
input_data, output_data)
self.assertIn("""
<property>
<name>c</name>
<value>f</value>
</property>""", res)
self.assertIn("""
<property>
<name>mapred.input.dir</name>
<value>swift://ex.sahara/i</value>
</property>""", res)
self.assertIn("""
<property>
<name>mapred.output.dir</name>
<value>swift://ex.sahara/o</value>
</property>""", res)
def test_build_workflow_for_job_java(self):
# If args include swift paths, user and password values
# will have to be supplied via configs instead of being
# lifted from input or output data sources
configs = {workflow_factory.swift_username: "******", workflow_factory.swift_password: "******"}
configs = {"configs": configs, "args": ["input_path", "output_path"]}
job, job_exec = _create_all_stack(edp.JOB_TYPE_JAVA, configs)
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec)
self.assertIn(
"""
<configuration>
<property>
<name>fs.swift.service.sahara.password</name>
<value>admin1</value>
</property>
<property>
<name>fs.swift.service.sahara.username</name>
<value>admin</value>
</property>
</configuration>
<main-class>%s</main-class>
<java-opts>%s</java-opts>
<arg>input_path</arg>
<arg>output_path</arg>"""
% (_java_main_class, _java_opts),
res,
)
def test_build_workflow_for_job_pig(self, job_binary):
job, job_exec = _create_all_stack('Pig')
job_binary.return_value = {"name": "script.pig"}
input_data = _create_data_source('swift://ex.sahara/i')
output_data = _create_data_source('swift://ex.sahara/o')
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec,
input_data, output_data)
self.assertIn("""
<param>INPUT=swift://ex.sahara/i</param>
<param>OUTPUT=swift://ex.sahara/o</param>""", res)
self.assertIn("""
<configuration>
<property>
<name>fs.swift.service.sahara.password</name>
<value>admin1</value>
</property>
<property>
<name>fs.swift.service.sahara.username</name>
<value>admin</value>
</property>
</configuration>""", res)
self.assertIn("<script>script.pig</script>", res)
def test_build_workflow_for_job_java(self):
# If args include swift paths, user and password values
# will have to be supplied via configs instead of being
# lifted from input or output data sources
configs = {workflow_factory.swift_username: '******',
workflow_factory.swift_password: '******'}
configs = {
'configs': configs,
'args': ['input_path',
'output_path']
}
job, job_exec = _create_all_stack('Java', configs)
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec)
self.assertIn("""
<configuration>
<property>
<name>fs.swift.service.sahara.password</name>
<value>admin1</value>
</property>
<property>
<name>fs.swift.service.sahara.username</name>
<value>admin</value>
</property>
</configuration>
<main-class>%s</main-class>
<java-opts>%s</java-opts>
<arg>input_path</arg>
<arg>output_path</arg>""" % (_java_main_class, _java_opts), res)
def test_build_workflow_for_job_hive(self, job_binary):
job, job_exec = _create_all_stack('Hive')
job_binary.return_value = {"name": "script.q"}
input_data = _create_data_source('swift://ex.sahara/i')
output_data = _create_data_source('swift://ex.sahara/o')
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec,
input_data, output_data)
self.assertIn("""
<job-xml>/user/hadoop/conf/hive-site.xml</job-xml>
<configuration>
<property>
<name>fs.swift.service.sahara.password</name>
<value>admin1</value>
</property>
<property>
<name>fs.swift.service.sahara.username</name>
<value>admin</value>
</property>
</configuration>
<script>script.q</script>
<param>INPUT=swift://ex.sahara/i</param>
<param>OUTPUT=swift://ex.sahara/o</param>""", res)
def test_build_workflow_for_job_hive(self, job_binary):
job, job_exec = _create_all_stack(edp.JOB_TYPE_HIVE)
job_binary.return_value = {"name": "script.q"}
input_data = _create_data_source('swift://ex/i')
output_data = _create_data_source('swift://ex/o')
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec,
input_data, output_data)
self.assertIn("""
<job-xml>/user/hadoop/conf/hive-site.xml</job-xml>
<configuration>
<property>
<name>fs.swift.service.sahara.password</name>
<value>admin1</value>
</property>
<property>
<name>fs.swift.service.sahara.username</name>
<value>admin</value>
</property>
</configuration>
<script>script.q</script>
<param>INPUT=swift://ex.sahara/i</param>
<param>OUTPUT=swift://ex.sahara/o</param>""", res)
def test_build_workflow_for_job_java(self):
# If args include swift paths, user and password values
# will have to be supplied via configs instead of being
# lifted from input or output data sources
configs = {sw.HADOOP_SWIFT_USERNAME: '******',
sw.HADOOP_SWIFT_PASSWORD: '******'}
configs = {
'configs': configs,
'args': ['swift://ex/i',
'output_path']
}
job, job_exec = _create_all_stack(edp.JOB_TYPE_JAVA, configs)
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec)
self.assertIn("""
<configuration>
<property>
<name>fs.swift.service.sahara.password</name>
<value>admin1</value>
</property>
<property>
<name>fs.swift.service.sahara.username</name>
<value>admin</value>
</property>
</configuration>
<main-class>%s</main-class>
<java-opts>%s</java-opts>
<arg>swift://ex.sahara/i</arg>
<arg>output_path</arg>""" % (_java_main_class, _java_opts), res)
def run_job(job_execution):
ctx = context.ctx()
cluster = conductor.cluster_get(ctx, job_execution.cluster_id)
if cluster.status != 'Active':
return job_execution
job = conductor.job_get(ctx, job_execution.job_id)
if not edp.compare_job_type(job.type, edp.JOB_TYPE_JAVA):
input_source = conductor.data_source_get(ctx, job_execution.input_id)
output_source = conductor.data_source_get(ctx, job_execution.output_id)
else:
input_source = None
output_source = None
#TODO(nprivalova): should be removed after all features implemented
validate(input_source, output_source, job)
for data_source in [input_source, output_source]:
if data_source and data_source.type == 'hdfs':
h.configure_cluster_for_hdfs(cluster, data_source)
hdfs_user = _get_hdfs_user(cluster)
oozie_server = _get_oozie_server(cluster)
wf_dir = create_workflow_dir(oozie_server, job, hdfs_user)
upload_job_files(oozie_server, wf_dir, job, hdfs_user)
creator = workflow_factory.get_creator(job)
wf_xml = creator.get_workflow_xml(cluster, job_execution,
input_source, output_source)
path_to_workflow = upload_workflow_file(oozie_server,
wf_dir, wf_xml, hdfs_user)
rm_path = _get_resource_manager_path(cluster)
nn_path = cluster['info']['HDFS']['NameNode']
client = o.OozieClient(cluster['info']['JobFlow']['Oozie'] + "/oozie/",
_get_oozie_server(cluster))
job_parameters = {"jobTracker": rm_path,
"nameNode": nn_path,
"user.name": hdfs_user,
"oozie.wf.application.path":
"%s%s" % (nn_path, path_to_workflow),
"oozie.use.system.libpath": "true"}
oozie_job_id = client.add_job(x.create_hadoop_xml(job_parameters),
job_execution)
job_execution = conductor.job_execution_update(ctx, job_execution,
{'oozie_job_id':
oozie_job_id,
'start_time':
datetime.datetime.now()})
client.run_job(job_execution, oozie_job_id)
return job_execution
def run_job(job_execution):
ctx = context.ctx()
cluster = conductor.cluster_get(ctx, job_execution.cluster_id)
if cluster.status != 'Active':
return job_execution
job = conductor.job_get(ctx, job_execution.job_id)
if not edp.compare_job_type(job.type, 'Java'):
input_source = conductor.data_source_get(ctx, job_execution.input_id)
output_source = conductor.data_source_get(ctx, job_execution.output_id)
else:
input_source = None
output_source = None
#TODO(nprivalova): should be removed after all features implemented
validate(input_source, output_source, job)
for data_source in [input_source, output_source]:
if data_source and data_source.type == 'hdfs':
h.configure_cluster_for_hdfs(cluster, data_source)
hdfs_user = _get_hdfs_user(cluster)
oozie_server = _get_oozie_server(cluster)
wf_dir = create_workflow_dir(oozie_server, job, hdfs_user)
upload_job_files(oozie_server, wf_dir, job, hdfs_user)
creator = workflow_factory.get_creator(job)
wf_xml = creator.get_workflow_xml(cluster, job_execution,
input_source, output_source)
path_to_workflow = upload_workflow_file(oozie_server,
wf_dir, wf_xml, hdfs_user)
rm_path = _get_resource_manager_path(cluster)
nn_path = cluster['info']['HDFS']['NameNode']
client = o.OozieClient(cluster['info']['JobFlow']['Oozie'] + "/oozie/",
_get_oozie_server(cluster))
job_parameters = {"jobTracker": rm_path,
"nameNode": nn_path,
"user.name": hdfs_user,
"oozie.wf.application.path":
"%s%s" % (nn_path, path_to_workflow),
"oozie.use.system.libpath": "true"}
oozie_job_id = client.add_job(x.create_hadoop_xml(job_parameters),
job_execution)
job_execution = conductor.job_execution_update(ctx, job_execution,
{'oozie_job_id':
oozie_job_id,
'start_time':
datetime.datetime.now()})
client.run_job(job_execution, oozie_job_id)
return job_execution
def _build_workflow_common(self, job_type, streaming=False):
if streaming:
configs = {'edp.streaming.mapper': '/usr/bin/cat',
'edp.streaming.reducer': '/usr/bin/wc'}
configs = {'configs': configs}
else:
configs = {}
job, job_exec = _create_all_stack(job_type, configs)
input_data = _create_data_source('swift://ex.sahara/i')
output_data = _create_data_source('swift://ex.sahara/o')
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec,
input_data, output_data)
if streaming:
self.assertIn("""
<streaming>
<mapper>/usr/bin/cat</mapper>
<reducer>/usr/bin/wc</reducer>
</streaming>""", res)
self.assertIn("""
<property>
<name>mapred.output.dir</name>
<value>swift://ex.sahara/o</value>
</property>""", res)
self.assertIn("""
<property>
<name>mapred.input.dir</name>
<value>swift://ex.sahara/i</value>
</property>""", res)
self.assertIn("""
<property>
<name>fs.swift.service.sahara.password</name>
<value>admin1</value>
</property>""", res)
self.assertIn("""
<property>
<name>fs.swift.service.sahara.username</name>
<value>admin</value>
</property>""", res)
def test_build_workflow_swift_configs(self, job_binary):
# Test that swift configs come from either input or output data sources
job, job_exec = _create_all_stack(edp.JOB_TYPE_PIG)
job_binary.return_value = {"name": "script.pig"}
input_data = _create_data_source("swift://ex.sahara/i")
output_data = _create_data_source("hdfs://user/hadoop/out")
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec, input_data, output_data)
self.assertIn(
"""
<configuration>
<property>
<name>fs.swift.service.sahara.password</name>
<value>admin1</value>
</property>
<property>
<name>fs.swift.service.sahara.username</name>
<value>admin</value>
</property>
</configuration>""",
res,
)
input_data = _create_data_source("hdfs://user/hadoop/in")
output_data = _create_data_source("swift://ex.sahara/o")
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec, input_data, output_data)
self.assertIn(
"""
<configuration>
<property>
<name>fs.swift.service.sahara.password</name>
<value>admin1</value>
</property>
<property>
<name>fs.swift.service.sahara.username</name>
<value>admin</value>
</property>
</configuration>""",
res,
)
job, job_exec = _create_all_stack(edp.JOB_TYPE_PIG, configs={"configs": {"dummy": "value"}})
input_data = _create_data_source("hdfs://user/hadoop/in")
output_data = _create_data_source("hdfs://user/hadoop/out")
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec, input_data, output_data)
self.assertIn(
"""
<configuration>
<property>
<name>dummy</name>
<value>value</value>
</property>
</configuration>""",
res,
)
def run_job(job_execution_id):
ctx = context.ctx()
job_execution = conductor.job_execution_get(ctx,
job_execution_id)
cluster = conductor.cluster_get(ctx, job_execution.cluster_id)
if cluster.status != 'Active':
return
if CONF.use_namespaces and not CONF.use_floating_ips:
plugin = plugin_base.PLUGINS.get_plugin(cluster.plugin_name)
oozie = plugin.get_oozie_server(cluster)
info = oozie.remote().get_neutron_info()
extra = job_execution.extra.copy()
extra['neutron'] = info
job_execution = conductor.job_execution_update(ctx,
job_execution_id,
{'extra': extra})
job = conductor.job_get(ctx, job_execution.job_id)
if not edp.compare_job_type(job.type, edp.JOB_TYPE_JAVA):
input_source = conductor.data_source_get(ctx, job_execution.input_id)
output_source = conductor.data_source_get(ctx, job_execution.output_id)
else:
input_source = None
output_source = None
for data_source in [input_source, output_source]:
if data_source and data_source.type == 'hdfs':
h.configure_cluster_for_hdfs(cluster, data_source)
hdfs_user = _get_hdfs_user(cluster)
oozie_server = _get_oozie_server(cluster)
wf_dir = create_workflow_dir(oozie_server, job, hdfs_user)
upload_job_files(oozie_server, wf_dir, job, hdfs_user)
creator = workflow_factory.get_creator(job)
wf_xml = creator.get_workflow_xml(cluster, job_execution,
input_source, output_source)
path_to_workflow = upload_workflow_file(oozie_server,
wf_dir, wf_xml, hdfs_user)
plugin = plugin_base.PLUGINS.get_plugin(cluster.plugin_name)
rm_path = plugin.get_resource_manager_uri(cluster)
nn_path = plugin.get_name_node_uri(cluster)
client = _create_oozie_client(cluster)
job_parameters = {"jobTracker": rm_path,
"nameNode": nn_path,
"user.name": hdfs_user,
"oozie.wf.application.path":
"%s%s" % (nn_path, path_to_workflow),
"oozie.use.system.libpath": "true"}
oozie_job_id = client.add_job(x.create_hadoop_xml(job_parameters),
job_execution)
job_execution = conductor.job_execution_update(ctx, job_execution,
{'oozie_job_id':
oozie_job_id,
'start_time':
datetime.datetime.now()})
client.run_job(job_execution, oozie_job_id)
def test_build_workflow_swift_configs(self, job_binary):
# Test that swift configs come from either input or output data sources
job, job_exec = _create_all_stack('Pig')
job_binary.return_value = {"name": "script.pig"}
input_data = _create_data_source('swift://ex.sahara/i')
output_data = _create_data_source('hdfs://user/hadoop/out')
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec,
input_data, output_data)
self.assertIn("""
<configuration>
<property>
<name>fs.swift.service.sahara.password</name>
<value>admin1</value>
</property>
<property>
<name>fs.swift.service.sahara.username</name>
<value>admin</value>
</property>
</configuration>""", res)
input_data = _create_data_source('hdfs://user/hadoop/in')
output_data = _create_data_source('swift://ex.sahara/o')
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec,
input_data, output_data)
self.assertIn("""
<configuration>
<property>
<name>fs.swift.service.sahara.password</name>
<value>admin1</value>
</property>
<property>
<name>fs.swift.service.sahara.username</name>
<value>admin</value>
</property>
</configuration>""", res)
job, job_exec = _create_all_stack('Pig', configs={'configs':
{'dummy': 'value'}})
input_data = _create_data_source('hdfs://user/hadoop/in')
output_data = _create_data_source('hdfs://user/hadoop/out')
creator = workflow_factory.get_creator(job)
res = creator.get_workflow_xml(_create_cluster(), job_exec,
input_data, output_data)
self.assertIn("""
<configuration>
<property>
<name>dummy</name>
<value>value</value>
</property>
</configuration>""", res)
