connect-source.json

{
  "name": "telegraf-source",
  "connector.class": "io.confluent.influxdb.source.InfluxdbSourceConnector",
  "influxdb.url": "http://localhost:8088",
  "topic.prefix": "influxdb_",
  "influxdb.db": "telegraf"
}

connect.log

[2019-09-17 17:06:00,033] ERROR WorkerSourceTask{id=telegraf-0} Task threw an uncaught and unrecoverable exception (org.apache.kafka.connect.runtime.WorkerTask:179)
java.lang.NullPointerException
        at io.confluent.influxdb.source.InfluxKafkaMapper.loadSchema(InfluxKafkaMapper.java:164)
        at io.confluent.influxdb.source.InfluxKafkaMapper.mapSeriesToRecords(InfluxKafkaMapper.java:105)
        at io.confluent.influxdb.source.InfluxKafkaMapper.toSourceRecords(InfluxKafkaMapper.java:80)
        at io.confluent.influxdb.source.InfluxdbSourceTask.poll(InfluxdbSourceTask.java:132)
        at org.apache.kafka.connect.runtime.WorkerSourceTask.poll(WorkerSourceTask.java:259)
        at org.apache.kafka.connect.runtime.WorkerSourceTask.execute(WorkerSourceTask.java:226)
        at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:177)
        at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:227)
        at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515)
        at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
        at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
        at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
        at java.base/java.lang.Thread.run(Thread.java:834)
[2019-09-17 17:06:00,034] ERROR WorkerSourceTask{id=telegraf-0} Task is being killed and will not recover until manually restarted (org.apache.kafka.connect.runtime.WorkerTask:180)

influxdb.conf

[meta]
  # Where the metadata/raft database is stored
  dir = "./data/influxdb/meta"

[data]
  # The directory where the TSM storage engine stores TSM files.
  dir = "./data/influxdb/data"

  # The directory where the TSM storage engine stores WAL files.
  wal-dir = "./data/influxdb/wal"

[coordinator]

[retention]

[shard-precreation]

[monitor]

[http]

[logging]

[subscriber]

[[graphite]]

[[collectd]]

[[opentsdb]]

[[udp]]

[continuous_queries]

[tls]

telegraf.conf

# Global tags can be specified here in key="value" format.
[global_tags]

# Configuration for telegraf agent
[agent]
  ## Default data collection interval for all inputs
  interval = "10s"
  ## Rounds collection interval to 'interval'
  ## ie, if interval="10s" then always collect on :00, :10, :20, etc.
  round_interval = true

  ## Telegraf will send metrics to outputs in batches of at most
  ## metric_batch_size metrics.
  ## This controls the size of writes that Telegraf sends to output plugins.
  metric_batch_size = 1000

  ## Maximum number of unwritten metrics per output.
  metric_buffer_limit = 10000

  ## Collection jitter is used to jitter the collection by a random amount.
  ## Each plugin will sleep for a random time within jitter before collecting.
  ## This can be used to avoid many plugins querying things like sysfs at the
  ## same time, which can have a measurable effect on the system.
  collection_jitter = "0s"

  ## Default flushing interval for all outputs. Maximum flush_interval will be
  ## flush_interval + flush_jitter
  flush_interval = "10s"
  ## Jitter the flush interval by a random amount. This is primarily to avoid
  ## large write spikes for users running a large number of telegraf instances.
  ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
  flush_jitter = "0s"

  ## By default or when set to "0s", precision will be set to the same
  ## timestamp order as the collection interval, with the maximum being 1s.
  ##   ie, when interval = "10s", precision will be "1s"
  ##       when interval = "250ms", precision will be "1ms"
  ## Precision will NOT be used for service inputs. It is up to each individual
  ## service input to set the timestamp at the appropriate precision.
  ## Valid time units are "ns", "us" (or "µs"), "ms", "s".
  precision = ""

  ## Log at debug level.
  # debug = false
  ## Log only error level messages.
  # quiet = false

  ## Log file name, the empty string means to log to stderr.
  # logfile = ""

  ## The logfile will be rotated after the time interval specified.  When set
  ## to 0 no time based rotation is performed.  Logs are rotated only when
  ## written to, if there is no log activity rotation may be delayed.
  # logfile_rotation_interval = "0d"

  ## The logfile will be rotated when it becomes larger than the specified
  ## size.  When set to 0 no size based rotation is performed.
  # logfile_rotation_max_size = "0MB"

  ## Maximum number of rotated archives to keep, any older logs are deleted.
  ## If set to -1, no archives are removed.
  # logfile_rotation_max_archives = 5

  ## Override default hostname, if empty use os.Hostname()
  hostname = ""
  ## If set to true, do no set the "host" tag in the telegraf agent.
  omit_hostname = false


# Configuration for sending metrics to InfluxDB
[[outputs.influxdb]]
  urls = ["http://127.0.0.1:8086"]

  database = "telegraf"

# # Configuration for the Kafka server to send metrics to
[[outputs.kafka]]
  brokers = ["localhost:9092"]
  topic = "telegraf"



# Read metrics about cpu usage
[[inputs.cpu]]
  ## Whether to report per-cpu stats or not
  percpu = true
  ## Whether to report total system cpu stats or not
  totalcpu = true
  ## If true, collect raw CPU time metrics.
  collect_cpu_time = false
  ## If true, compute and report the sum of all non-idle CPU states.
  report_active = false


# Read metrics about disk usage by mount point
[[inputs.disk]]
  ## Ignore mount points by filesystem type.
  ignore_fs = ["tmpfs", "devtmpfs", "devfs", "iso9660", "overlay", "aufs", "squashfs"]


# Read metrics about disk IO by device
[[inputs.diskio]]

# Get kernel statistics from /proc/stat
[[inputs.kernel]]
  # no configuration


# Read metrics about memory usage
[[inputs.mem]]
  # no configuration


# Get the number of processes and group them by status
[[inputs.processes]]
  # no configuration


# Read metrics about swap memory usage
[[inputs.swap]]
  # no configuration


# Read metrics about system load & uptime
[[inputs.system]]
  ## Uncomment to remove deprecated metrics.
  # fielddrop = ["uptime_format"]