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Troubleshoot ksqlDB issues¶
This guide contains troubleshooting information for many ksqlDB issues.
SELECT query does not stop¶
ksqlDB streaming queries must be stopped explicitly. In the CLI,
use Ctrl-C to stop non-persistent queries, like SELECT * FROM myTable EMIT CHANGES.
To stop a persistent query created by CREATE STREAM AS SELECT or
CREATE TABLE AS SELECT, use the TERMINATE statement: TERMINATE query_id;.
For more information, see TERMINATE.
SELECT query returns no results¶
If a ksqlDB query returns no results and the CLI hangs, use Ctrl-C to stop the query and then review the following topics to diagnose the issue.
Verify that the query is based on the correct source topic¶
Use the DESCRIBE EXTENDED statement to view the Apache Kafka® source topic for the stream. For example, if you have a pageviews stream on a Kafka topic named pageviews, enter the following statement in the CLI:
DESCRIBE EXTENDED PAGEVIEWS;
Example output showing the source topic:
Name : PAGEVIEWS
[...]
Kafka topic : pageviews (partitions: 1, replication: 1)
Verify that the source topic is populated with data¶
Your query results may be empty because the Kafka source topic is not populated with data. Use the kafkacat to consume messages and print a summary:
docker run --network ksql-troubleshooting_default --tty --interactive --rm \
confluentinc/cp-kafkacat \
kafkacat -b kafka:39092 \
-C -t pageviews \
-o beginning
Example output showing an empty source topic:
% Reached end of topic pageviews [0] at offset 0
Verify that new messages are arriving at the source topic¶
The topic is populated if the kafkacat prints messages. However, it may not be receiving new messages. By default, ksqlDB reads from the end of a topic. A query does not return results if no new messages are being written to the topic.
To check your query, you can set ksqlDB to read from the beginning of a topic by assigning the auto.offset.reset property to earliest using following statement:
SET 'auto.offset.reset'='earliest';
Example output showing a successful change:
Successfully changed local property 'auto.offset.reset' from 'null' to 'earliest'
Run your query again. You should get results from the beginning of the topic. Note that the query may appear to hang if the query reaches the latest offset and no new messages arrive. The query is simply waiting for the next message. Use Ctrl-C to stop the query.
Verify that the query predicate is not too restrictive¶
If the previous solutions do not resolve the issue, your query may be filtering out all records because its predicate is too restrictive. Remove WHERE and HAVING clauses and run your query again.
Verify that there are no deserialization errors¶
ksqlDB will not write query results if it is not able to deserialize message data. Use the DESCRIBE EXTENDED statement to check that the VALUE_FORMAT of the stream matches the format of the records that kafkacat prints for your topic. Enter the following statement in the CLI:
DESCRIBE EXTENDED pageviews;
Example output:
Name : PAGEVIEWS
[...]
Value format : DELIMITED
Example output from kafkacat for a DELIMITED topic:
1541463125587,User_2,Page_74
1541463125823,User_2,Page_92
1541463125931,User_3,Page_44
% Reached end of topic pageviews [0] at offset 1538
1541463126232,User_1,Page_28
% Reached end of topic pageviews [0] at offset 1539
1541463126637,User_7,Page_64
% Reached end of topic pageviews [0] at offset 1540
1541463126786,User_1,Page_83
^C
Check for message processing failures for serialization errors. For example, if your
query specifies JSON for the VALUE_FORMAT, and the underlying topic is not
formatted as JSON, you’ll see JsonParseException warnings in the ksqlDB server log. For example:
[2018-09-17 12:29:09,929] WARN task [0_10] Skipping record due to deserialization error. topic=[_confluent-metrics] partition=[10] offset=[70] (org.apache.kafka.streams.processor.internals.RecordDeserializer:86)
org.apache.kafka.common.errors.SerializationException: KsqlJsonDeserializer failed to deserialize data for topic: _confluent-metrics
Caused by: com.fasterxml.jackson.core.JsonParseException: Unexpected character ((CTRL-CHAR, code 127)): expected a valid value (number, String, array, object, 'true', 'false' or 'null')
ksqlDB CLI does not connect to ksqlDB server¶
The following warning may occur when you start the CLI.
**************** WARNING ******************
Remote server address may not be valid:
Error issuing GET to KSQL server
Caused by: java.net.SocketException: Connection reset
Caused by: Connection reset
*******************************************
A similar error may display when you create a ksqlDB query using the CLI.
Error issuing POST to KSQL server
Caused by: java.net.SocketException: Connection reset
Caused by: Connection reset
In both cases, the CLI is not able to connect to the ksqlDB server. Review the following topics to diagnose the issue.
Verify that the ksqlDB CLI is using the correct port¶
By default, the server listens on port 8088. See
Starting the |ksqldb| CLI for more information.
Verify that the ksqlDB server configuration is correct¶
In the ksqlDB server configuration file, check that the list of listeners
has the host address and port configured correctly. Search for the listeners
setting in the file and verify it is set correctly:
listeners=http://0.0.0.0:8088
Or if you are running over IPv6:
listeners=http://[::]:8088
See Starting ksqlDB Server for more information.
Verify that there are no port conflicts¶
There may be another process running on the port that the ksqlDB server listens
on. Use the following command to get the Process ID (PID) for the process running on the port
assigned to the ksqlDB server. The command below checks the default 8088 port.
netstat -anv | egrep -w .*8088.*LISTEN
Example output:
tcp4 0 0 *.8088 *.* LISTEN 131072 131072 46314 0
In this example, 46314 is the PID of the process that is listening on port
8088. Run the following command to get information about process 46314:
ps -wwwp 46314
Example output:
io.confluent.ksql.rest.server.KsqlServerMain ./config/ksql-server.properties
If the KsqlServerMain process is not shown, a different process has taken the
port that KsqlServerMain would normally use. Search for the listeners
setting in the ksqlDB server configuration file and get the correct port. Start the CLI using the correct port.
See Starting ksqlDB Server and Starting the ksqlDB CLI for more information.
Cannot create a stream from the output of a windowed aggregate¶
ksqlDB doesn’t support structured keys, so you can’t create a stream from a windowed aggregate.
ksqlDB does not clean up internal topics¶
Make sure that your Kafka cluster is configured with delete.topic.enable=true.
See deleteTopics for more information.
Replicated topic with Avro schema causes errors¶
The Confluent Replicator renames topics during replication. If there are associated Avro schemas, they are not automatically matched with the renamed topics after replication completes.
Using the PRINT statement for a replicated topic shows that the Avro schema ID exists in the Schema Registry. ksqlDB can
deserialize the Avro message, however the CREATE STREAM statement fails with a deserialization error. For example:
CREATE STREAM pageviews_original (viewtime bigint, userid varchar, pageid varchar) WITH (kafka_topic='pageviews.replica', value_format='AVRO');
Example output with a deserialization error:
[2018-06-21 19:12:08,135] WARN task [1_6] Skipping record due to deserialization error. topic=[pageviews.replica] partition=[6] offset=[1663] (org.apache.kafka.streams.processor.internals.RecordDeserializer:86)
org.apache.kafka.connect.errors.DataException: pageviews.replica
at io.confluent.connect.avro.AvroConverter.toConnectData(AvroConverter.java:97)
at io.confluent.ksql.serde.connect.KsqlConnectDeserializer.deserialize(KsqlConnectDeserializer.java:48)
at io.confluent.ksql.serde.connect.KsqlConnectDeserializer.deserialize(KsqlConnectDeserializer.java:27)
The solution is to register Avro schemas manually against the replicated subject name for the topic. For example:
# Original topic name = pageviews
# Replicated topic name = pageviews.replica
curl -X POST -H "Content-Type: application/vnd.schemaregistry.v1+json" --data "{\"schema\": $(curl -s http://localhost:8081/subjects/pageviews-value/versions/latest | jq '.schema')}" http://localhost:8081/subjects/pageviews.replica-value/versions
Snappy encoded messages don’t decompress¶
If you don’t have write access to the /tmp directory because it’s set to
noexec, you need to pass in a directory path for snappy that you have
write access to:
-Dorg.xerial.snappy.tempdir=/path/to/newtmp
Check for message processing failures¶
You can check the health of a ksqlDB query by viewing the number of messages that it has processed and counting how many processing failures have occurred.
Use the DESCRIBE EXTENDED statement to see total-messages and
failed-messages-per-sec to get message processing metrics. Note that the metrics are local to the server where the DESCRIBE statement runs.
DESCRIBE EXTENDED GOOD_RATINGS;
Example output:
[...]
Local runtime statistics
------------------------
messages-per-sec: 1.10 total-messages: 2898 last-message: 9/17/18 1:48:47 PM UTC
failed-messages: 0 failed-messages-per-sec: 0 last-failed: n/a
(Statistics of the local KSQL server interaction with the Kafka topic GOOD_RATINGS)
An increasing number of failed-messages may indicate problems with your query.
See deserialization errors for typical sources of processing failures.
Check the ksqlDB server logs¶
Check the ksqlDB server logs for errors using the command:
confluent log ksql-server
ksqlDB writes most of its log messages to stdout by default.
Look for logs in the default directory at /usr/local/logs or in the
LOG_DIR that you assigned when starting the CLI. See
Starting the ksqlDB CLI for more information.
If you installed the Confluent Platform using RPM or Debian packages, the logs are
in /var/log/confluent/.
If you’re running ksqlDB using Docker, the output is in the container logs, for example:
docker logs <container-id>
docker-compose logs ksql-server