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Add example listing committed offsets and lag
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examples/README.md

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The scripts in this directory provide code examples using Confluent's Python client:
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* [adminapi.py](adminapi.py): collection of Kafka Admin API operations
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* [avro-cli.py](avro-cli.py): produces Avro messages with Confluent Schema Registry and then reads them back again
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* [avro-cli.py](avro-cli.py): produces Avro messages with Confluent Schema Registry and then reads them back again
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* [consumer.py](consumer.py): reads messages from a Kafka topic
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* [producer.py](producer.py): reads lines from stdin and sends them to Kafka
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* [eos-transactions.py](eos-transactions.py): transactional producer with exactly once semantics (EOS)
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* [protobuf_producer.py](protobuf_producer.py): SerializingProducer with ProtobufSerializer
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* [protobuf_consumer.py](protobuf_consumer.py): DeserializingConsumer with ProtobufDeserializer
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* [sasl_producer.py](sasl_producer.py): SerializingProducer with SASL Authentication
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* [list_offsets.py](list_offsets.py): List committed offsets and consumer lag for group and topics
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Additional examples for [Confluent Cloud](https://www.confluent.io/confluent-cloud/):
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examples/list_offsets.py

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#!/usr/bin/env python3
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#
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# Copyright 2020 Confluent Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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#
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# Show committed offsets and current lag for group and topic(s).
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#
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import sys
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import confluent_kafka
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if len(sys.argv) < 4:
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sys.stderr.write("Usage: {} <brokers> <group.id> <topic> <topic2..>\n".format(sys.argv[0]))
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sys.exit(1)
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brokers, group = sys.argv[1:3]
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# Create consumer.
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# This consumer will not join the group, but the group.id is required by
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# committed() to know which group to get offsets for.
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consumer = confluent_kafka.Consumer({'bootstrap.servers': brokers,
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'group.id': group})
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print("%-50s %9s %9s" % ("Topic [Partition]", "Committed", "Lag"))
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print("=" * 72)
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for topic in sys.argv[3:]:
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# Get the topic's partitions
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metadata = consumer.list_topics(topic, timeout=10)
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if metadata.topics[topic].error is not None:
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raise confluent_kafka.KafkaException(metadata.topics[topic].error)
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# Construct TopicPartition list of partitions to query
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partitions = [confluent_kafka.TopicPartition(topic, p) for p in metadata.topics[topic].partitions]
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# Query committed offsets for this group and the given partitions
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committed = consumer.committed(partitions, timeout=10)
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for partition in committed:
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# Get the partitions low and high watermark offsets.
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(lo, hi) = consumer.get_watermark_offsets(partition, timeout=10, cached=False)
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if partition.offset == confluent_kafka.OFFSET_INVALID:
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offset = "-"
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else:
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offset = "%d" % (partition.offset)
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if hi < 0:
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lag = "no hwmark" # Unlikely
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elif partition.offset < 0:
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# No committed offset, show total message count as lag.
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# The actual message count may be lower due to compaction
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# and record deletions.
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lag = "%d" % (hi - lo)
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else:
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lag = "%d" % (hi - partition.offset)
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print("%-50s %9s %9s" % (
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"{} [{}]".format(partition.topic, partition.partition), offset, lag))
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consumer.close()

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