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__pycache__
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2022-10-11 05:09
__init__.py
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appoptics_return.py
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carbon_return.py
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cassandra_cql_return.py
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cassandra_return.py
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couchbase_return.py
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couchdb_return.py
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django_return.py
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elasticsearch_return.py
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etcd_return.py
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highstate_return.py
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influxdb_return.py
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kafka_return.py
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librato_return.py
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local.py
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local_cache.py
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mattermost_returner.py
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memcache_return.py
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mongo_future_return.py
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mongo_return.py
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multi_returner.py
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mysql.py
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nagios_nrdp_return.py
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odbc.py
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pgjsonb.py
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postgres.py
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postgres_local_cache.py
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pushover_returner.py
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rawfile_json.py
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redis_return.py
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sentry_return.py
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slack_returner.py
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slack_webhook_return.py
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sms_return.py
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smtp_return.py
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splunk.py
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sqlite3_return.py
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syslog_return.py
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telegram_return.py
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xmpp_return.py
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zabbix_return.py
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""" Return data to a Cassandra ColumnFamily Here's an example Keyspace / ColumnFamily setup that works with this returner:: create keyspace salt; use salt; create column family returns with key_validation_class='UTF8Type' and comparator='UTF8Type' and default_validation_class='UTF8Type'; Required python modules: pycassa To use the cassandra returner, append '--return cassandra' to the salt command. ex: salt '*' test.ping --return cassandra """ import logging import salt.utils.jid try: import pycassa # pylint: disable=import-error HAS_PYCASSA = True except ImportError: HAS_PYCASSA = False log = logging.getLogger(__name__) __opts__ = { "cassandra.servers": ["localhost:9160"], "cassandra.keyspace": "salt", "cassandra.column_family": "returns", "cassandra.consistency_level": "ONE", } # Define the module's virtual name __virtualname__ = "cassandra" def __virtual__(): if not HAS_PYCASSA: return False, "Could not import cassandra returner; pycassa is not installed." return __virtualname__ def returner(ret): """ Return data to a Cassandra ColumnFamily """ consistency_level = getattr( pycassa.ConsistencyLevel, __opts__["cassandra.consistency_level"] ) pool = pycassa.ConnectionPool( __opts__["cassandra.keyspace"], __opts__["cassandra.servers"] ) ccf = pycassa.ColumnFamily( pool, __opts__["cassandra.column_family"], write_consistency_level=consistency_level, ) columns = {"fun": ret["fun"], "id": ret["id"]} if isinstance(ret["return"], dict): for key, value in ret["return"].items(): columns["return.{}".format(key)] = str(value) else: columns["return"] = str(ret["return"]) log.debug(columns) ccf.insert(ret["jid"], columns) def prep_jid(nocache=False, passed_jid=None): # pylint: disable=unused-argument """ Do any work necessary to prepare a JID, including sending a custom id """ return passed_jid if passed_jid is not None else salt.utils.jid.gen_jid(__opts__)