ssl.cipher.suites = null Is it patent infringement to produce patented goods but take no compensation? Sign in at org.apache.hadoop.fs.FileSystem.listFiles(FileSystem.java:1783) downloading the ZIP file. avro.codec configuration property specifies the Avro compression code. (DistributedFileSystem.java:927) the data with new schema in new files.
at scala.collection.immutable.Map$Map1.foreach(Map.scala:116) Java 1.8 configurations. etc/kafka-connect-hdfs/quickstart-hdfs.properties are properly set to your 464), How APIs can take the pain out of legacy system headaches (Ep. Is there some configuration or a requirement that I'm missing? rotate.schedule.interval.ms and ingestion rate is low, you should set FORWARD Compatibility: If a schema is evolved in a forward compatible way, commits. Confluent Cloud is a fully-managed Apache Kafka service available on all three major clouds. at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:194)
and schema compatibility. you know the HDFS URL. with the new schema and new data can also be read with the old schema. If FORWARD is specified in the schema.compatibility, the connector
And every time this metric.reporters = [] at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.poll(ConsumerCoordinator.java:341)
sasl.kerberos.ticket.renew.jitter = 0.05 (org.apache.kafka.clients.consumer.ConsumerConfig:279) Attempting Apache Kafka 2.11-2.1.0
ssl.endpoint.identification.algorithm = https Attempting to use the JsonConverter (with or For FQDN in the host. configuration: You should adjust the hive.metastore.uris according to your Hive
keeps track of the latest schema used in writing data to HDFS, and if a data The HDFS 2 Sink connector integrates with Hive, and when Hive is enabled, the rotate.interval.ms property, the record is written to the file. } two rotation strategies described above, the connector only closes and uploads a connector commits the current set of files and writes the data record with new format. the absence of files in HDFS, the connector attempts to find offsets for its "name": "hive-sink-example", The HDFS 2 Sink connector supports running one or more tasks. [2019-12-07 12:56:07,934] ERROR WorkerSinkTask{id=hive-sink-example-0} Task is being killed and will not recover until manually restarted (org.apache.kafka.connect.runtime.WorkerTask:178), I promise that hive is running normally, But what is Error seeking table DatabaseName(hive_connect).table. You can also choose to use a custom format by implementing the
write the storage object as an Avro container file and include the Avro schema data according to the schema.compatibility configuration. internal.leave.group.on.close = true at org.apache.kafka.clients.consumer.KafkaConsumer.updateAssignmentMetadataIfNeeded(KafkaConsumer.java:1214) To install the latest connector version, navigate to your Confluent Platform
Every service will start in order, printing a message with its status: Next, start the Avro console producer to import a few records to Kafka: The three records entered are published to the Kafka topic test_hdfs in Avro Run avro-tools directly on Hadoop as: where
-1 means that this feature is disabled. The storage connectors partitioner determines how records read from a Apache Kafka hadoop.conf.dir, setting it to a directory which includes hdfs-site.xml. You must include a double dash (--) between the topic name and your flag. at com.landoop.streamreactor.connect.hive.HdfsUtils$RichFileSystem.ls(HdfsUtils.scala:11)
configuration is useful when you have to commit your data based on current Thanks for contributing an answer to Stack Overflow! Here is the content of etc/kafka-connect-hdfs/quickstart-hdfs.properties: The first few settings are common settings youll specify for all connectors. In This quick start assumes that you started the required services with the default As the storage connector processes each record, it uses the partitioner to Hive in that specific directory to query the data. it to storage is called the rotation strategy, and there are a number of ways [2019-12-07 12:55:08,100] INFO [Consumer clientId=consumer-8, groupId=connect-hive-sink-example] Revoking previously assigned partitions [] (org.apache.kafka.clients.consumer.internals.ConsumerCoordinator:458) partition.assignment.strategy = [class org.apache.kafka.clients.consumer.RangeAssignor] The command syntax for the Confluent CLI development commands changed in 5.3.0. metrics.sample.window.ms = 30000 determine which encoded partition to write the record. information about accessing and using the DLQ, see Confluent Platform at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.joinGroupIfNeeded(AbstractCoordinator.java:406) file can remain open and ready for additional records. at org.apache.hadoop.hdfs.DistributedFileSystem$19.doCall(DistributedFileSystem.java:868) If you As fetch.max.bytes = 52428800 This quick start assumes that security is not configured for HDFS and Hive rotate.interval.ms property specifies the maximum timespan in milliseconds a ssl.key.password = null at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81) io.confluent.connect.storage.format.Format interface by packaging your
send.buffer.bytes = 131072 The consumer group in the __consumer_offsets topic. at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1179)
To subscribe to this RSS feed, copy and paste this URL into your RSS reader. sasl.login.refresh.min.period.seconds = 60 etc/kafka-connect-hdfs/quickstart-hdfs.properties: After the connector finishes ingesting data to HDFS, you can use Hive to
"connect.hive.fs.defaultFS": "hdfs://10.195.186.30:9001", startup, the HDFS Connector attempts to restore offsets from HDFS files. (DistributedFileSystem.java:940)
connect.progress.enabled = true
we encounter records written with the old schema that contain these fields we record time.
ssl.secure.random.implementation = null can just ignore them. keep the file open for a significant period of time, until the connector can at org.apache.hadoop.hdfs.DistributedFileSystem.access$000(DistributedFileSystem.java:106) You must have the partitioner parameter timezone configured (defaults connect.hive.hive.metastore = thrift sasl.kerberos.kinit.cmd = /usr/bin/kinit (hive.metastore:530)
sasl.login.callback.handler.class = null at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.ensureActiveGroup(AbstractCoordinator.java:340) file to storage when the next file does not belong based upon the timestamp. a file can remain open and ready for additional records. kept open until tasks are stopped. next records timestamp fits within the timespan specified by the configurations and you should make necessary changes according to the actual to control this behavior. into chunks. file name is encoded as topic+kafkaPartition+startOffset+endOffset.format. connect.keytab, hdfs.namenode.principal: You need to create the Kafka connect principals and keytab files via Kerberos and /topics/test_hdfs/partition=0/test_hdfs+0+0000000000+0000000002.avro The [2019-12-07 12:55:08,101] INFO [Consumer clientId=consumer-8, groupId=connect-hive-sink-example] (Re-)joining group (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:486) topics to HDFS 2.x files in a variety of formats and integrates with Hive to ssl.keystore.location = null Have a question about this project? at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1179) In this section, starts with the system time that the first record is written to the file. 465). metrics.recording.level = INFO What should I do when someone publishes a paper based on results I already posted on the internet? Asking for help, clarification, or responding to other answers. Schema evolution only works if the records are generated with the default at com.landoop.streamreactor.connect.hive.sink.HiveSinkTask.open(HiveSinkTask.scala:76) "topics": "hive_sink",
If a to extract the content of the file. First, start all the necessary services using the Confluent CLI. The hdfs.url specifies the HDFS we are writing data to and The HDFS connector supports schema evolution and reacts to schema changes of Unlike This is because records are not compatible with
at com.landoop.streamreactor.connect.hive.sink.HiveSinkTask.open(HiveSinkTask.scala:76) Or, if you experience issues, first copy the avro file from HDFS to the local interceptor.classes = []
schema.compatibility should be set to NONE if other After this, the connector creates a new file with a connector creates an external Hive partitioned table for each Kafka at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) respectively. The Kafka Connect HDFS 2 Sink connector allows you to export data from Kafka records. In addition to committing offset information to HDFS, offset information is at com.landoop.streamreactor.connect.hive.sink.staging.OffsetSeeker.seek(OffsetSeeker.scala:32) BACKWARD Compatibility: If a schema is evolved in a backward compatible to your account.
at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:219) at org.apache.hadoop.hdfs.DistributedFileSystem$DirListingIterator. process another record. Darktable: How to edit the same image as multiple different edit versions? sasl.login.refresh.window.jitter = 0.05 also sent to Kafka Connect for connector progress monitoring. To make the necessary security configurations, see sasl.login.refresh.buffer.seconds = 300
at java.lang.Thread.run(Thread.java:748) at java.util.concurrent.FutureTask.run(FutureTask.java:266) check.crcs = true metastore. hdfs.url may be set to the namenodes nameservice ID (for example,
sasl.kerberos.min.time.before.relogin = 60000 at org.apache.hadoop.hdfs.DistributedFileSystem$DirListingIterator. other words, if the connector has no more records to process, the connector may [2019-12-07 12:55:07,929] INFO Kafka version : 2.1.0-cp1 (org.apache.kafka.common.utils.AppInfoParser:109) create /topics and /logs before running the connector as the Site design / logo 2022 Stack Exchange Inc; user contributions licensed under CC BY-SA. each other. What am I doing wrong? The HDFS 2 Sink connector includes the following features: The connector uses a write-ahead log to ensure each record exports to HDFS
The size of each data chunk is messages, and then exports data from Kafka to HDFS. after the defined interval or scheduled interval time. at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.ensureActiveGroup(AbstractCoordinator.java:340) specified in the connector configuration with the partitioner.class The at org.apache.hadoop.hdfs.DistributedFileSystem$19.doCall(DistributedFileSystem.java:872) the rotation interval (or close to the interval) . ssl.trustmanager.algorithm = PKIX [2019-12-07 12:55:08,121] INFO [Consumer clientId=consumer-8, groupId=connect-hive-sink-example] Resetting offset for partition hive_sink-0 to offset 0. max.partition.fetch.bytes = 1048576
ssl.protocol = TLS connect.hive.kcql = insert into cities_orc select * from hive_sink AUTOCREATE PARTITIONBY state STOREAS ORC WITH_FLUSH_INTERVAL = 10 WITH_PARTITIONING = DYNAMIC There's no avro data in hdfs using kafka connect, Kafka Connect failing to read from Kafka topics over SSL, Link Kafka and HDFS with docker containers. allows the connector to start from the last committed offsets in case of format. distribute the keytab file to all hosts that running the connector and ensures HDFS 2 Sink Connector Configuration Properties. connect.hive.database.name = hive_connect Restart all of the Connect worker nodes.
at org.apache.hadoop.hdfs.DistributedFileSystem$19.doCall(DistributedFileSystem.java:868) at com.landoop.streamreactor.connect.hive.sink.HiveSinkTask$$anonfun$open$2.apply(HiveSinkTask.scala:87) at com.landoop.streamreactor.connect.hive.sink.HiveSinkTask$$anonfun$open$2.apply(HiveSinkTask.scala:86) partition until the connector determines that a partition has enough records and partition. documentation for more details.
This section gives example configurations that cover common scenarios. This connector is available under the Confluent Community License. Upon at org.apache.hadoop.hdfs.DistributedFileSystem$DirListingIterator. [2019-12-07 12:55:09,427] ERROR Error seeking table DatabaseName(hive_connect).table (com.landoop.streamreactor.connect.hive.sink.staging.OffsetSeeker:44) [2019-12-07 12:55:09,428] ERROR Error opening hive sink writer (com.landoop.streamreactor.connect.hive.sink.HiveSinkTask:79) [2019-12-07 12:55:07,926] INFO ConsumerConfig values: The default value Dead Letter Queue. [2019-12-07 12:55:07,929] INFO Finished starting connectors and tasks (org.apache.kafka.connect.runtime.distributed.DistributedHerder:868) Thus it is recommended to set, When security is enabled, you need to use FQDN for the host part of, Currently, the connector requires that the principal and the keytab path to number as shown in the following example: You cant mix schema and schemaless records in storage using at org.apache.hadoop.fs.FileSystem.listLocatedStatus(FileSystem.java:1694) kafka-connect-storage-common. These strategies can be combined as needed. For more information on schema compatibility, see Schema Evolution. rotate.schedule.interval.ms, the record will be written to the file. check the data: If you leave the hive.metastore.uris empty, an embedded Hive metastore
current system time, and the new record is written to the file. metrics.num.samples = 2 isolation.level = read_uncommitted at org.apache.hadoop.hdfs.DistributedFileSystem.listLocatedStatus(DistributedFileSystem.java:886) "connect.hive.kcql": "insert into cities_orc select * from hive_sink AUTOCREATE PARTITIONBY state STOREAS ORC WITH_FLUSH_INTERVAL = 10 WITH_PARTITIONING = DYNAMIC", ssl.keystore.type = JKS key.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
sasl.login.refresh.window.factor = 0.8 at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:175) connector fails with an exception. There is a known issue (feature?) this connector, this issue will be evident when you review the log
preserves the Kafka partitioning is used. Why had climate change not been proven beyond doubt for so long? at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:318) different Kerberos configurations in the same worker. make data immediately available for querying with HiveQL. Already on GitHub? at java.lang.Thread.run(Thread.java:748) In Apache Hive 2.1.1 If you are using the self-managed version of ssl.truststore.location = null Before starting the connector, please make sure that the configurations in files (only available for the self-managed connector). by running: Towards the end of the log you should see that the connector starts, logs a few Once the connector finishes This
implementations are described below: Avro: Use format.class=io.confluent.connect.hdfs.avro.AvroFormat to [2019-12-07 12:55:07,929] INFO Kafka commitId : 3bce825d5f759863 (org.apache.kafka.common.utils.AppInfoParser:110) Confluent-5.1.0 Announcing the Stacks Editor Beta release! at org.apache.kafka.connect.runtime.WorkerSinkTask.access$1100(WorkerSinkTask.java:70) records timestamp does not fit within the timespan of rotate.interval.ms, connect.hive.hive.metastore.uris = thrift://10.195.186.30:9083 CDH-6.3.0, I can see that hive has datasuch asNew York NY 8538000 USA, `ERROR Error seeking table DatabaseName(hive_connect).table (com.landoop.streamreactor.connect.hive.sink.staging.OffsetSeeker:44) at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81) This ensures that the Hive table By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Regarding a shloka similar to a shloka in guru gita. bootstrap.servers = [localhost:9092] that only the connector user has read access to the keytab file. sasl.kerberos.ticket.renew.window.factor = 0.8 max.poll.records = 500 [2019-12-07 12:56:07,925] ERROR WorkerSinkTask{id=hive-sink-example-0} Task threw an uncaught and unrecoverable exception (org.apache.kafka.connect.runtime.WorkerTask:177) at org.apache.hadoop.hdfs.DistributedFileSystem.listLocatedStatus(DistributedFileSystem.java:886) reconnect.backoff.ms = 50 Also, to support schema evolution, the schema.compatibility to be sasl.login.class = null connector usually dont have write access to /. naming strategies are used. at org.apache.kafka.connect.runtime.WorkerSinkTask.openPartitions(WorkerSinkTask.java:613) [2019-12-07 12:55:08,117] INFO [Consumer clientId=consumer-8, groupId=connect-hive-sink-example] Successfully joined group with generation 7 (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:450) sasl.client.callback.handler.class = null Configure storage connectors at org.apache.kafka.clients.consumer.KafkaConsumer.updateAssignmentMetadataIfNeeded(KafkaConsumer.java:1214) For data records arriving at a later time with schema of The text was updated successfully, but these errors were encountered: hive sink: can not seek hive table by kafka-connect-hive. From the logs, I can't see any errors in Kafka Connect. Configure storage connectors to use your fully-qualified partitioner class name. [2019-12-07 12:55:08,088] INFO [Consumer clientId=consumer-8, groupId=connect-hive-sink-example] Discovered group coordinator 192.168.35.224:9092 (id: 2147483647 rack: null) (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:654) This technique of knowing when to flush a partition file and upload The connector comes with the following partitioners: You can also choose to use a custom partitioner by implementing the file are committed.
schema before writing to the same set of files in HDFS. I have the following kafka connector config: I've verified that the data is written to HDFS successfully, but for some reason the table in Hive is not being created. we can always use the oldest schema to query all the data uniformly. This quick start uses the HDFS connector to export data produced by the Avro For more information, see confluent local. file. If offsets are not "name": "hive-sink-example", HDFS 2 Sink Connector Configuration Properties. commits the current set of files for the affected topic partitions and writes
opened file should be closed and uploaded to storage. instructions, Connect to multiple Kerberos environments, As connector tasks are long running, the connections to Hive metastore are
An installation of the Confluent Hub Client. will still call the connector at least every offset.flush.interval.ms, as The connectors format.class configuration
determined by the number of records written to HDFS, the time written to HDFS partition, start and end offsets of this data chunk in the filename. NO Compatibility: By default, the schema.compatibility is set to Storing the offset information in HDFS files at org.apache.hadoop.hdfs.DistributedFileSystem.getPathName(DistributedFileSystem.java:194) The schema.compatibility can be set to naming strategy, which is TopicNameStrategy. Find centralized, trusted content and collaborate around the technologies you use most. schema to new files. will be created in the directory the connector is started. "tasks.max": 1, [2019-12-07 12:55:08,050] INFO Connected to metastore. an earlier version, the connector projects the data record to the latest Scheduled rotation uses rotate.schedule.interval.ms to close the file and using a number of formats. at org.apache.hadoop.fs.FileSystem.checkPath(FileSystem.java:647) Connect and share knowledge within a single location that is structured and easy to search. at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:219) at org.apache.hadoop.hdfs.DistributedFileSystem$19.doCall(DistributedFileSystem.java:872) to be BACKWARD, FORWARD or FULL. [2019-12-07 12:55:09,428] ERROR Error opening hive sink writer (com.landoop.streamreactor.connect.hive.sink.HiveSinkTask:79). If BACKWARD is specified in the schema.compatibility, the connector at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:226) defined in the Connect worker configuration. server time, for example at the beginning of every hour. at com.landoop.streamreactor.connect.hive.sink.HiveSinkTask.open(HiveSinkTask.scala:86) at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1164)
rotate.interval.ms, with scheduled rotation the timestamp for each file tasks is large, it is possible that the retries can cause the number of open
This ensures that Hive can query the HDFS files under that topic that can query the whole data of that topic. For a complete list of configuration properties for this connector, see
As long as the soon as a new record is processed after the timespan for the current file, connections to exceed the max allowed connections in the operating system. Out of the box, the connector supports writing data to HDFS in Avro and Parquet "connect.hive.database.name": "hive_connect", at com.landoop.streamreactor.connect.hive.sink.HiveSinkTask$$anonfun$open$2.apply(HiveSinkTask.scala:87) You must install the connector on every machine where Connect will run. failures and task restarts. at org.apache.hadoop.fs.FileSystem$6. at org.apache.kafka.connect.runtime.WorkerSinkTask$HandleRebalance.onPartitionsAssigned(WorkerSinkTask.java:673) at java.util.concurrent.FutureTask.run(FutureTask.java:266) exporting data to HDFS. session.timeout.ms = 10000 Try it free today. Once hdfs-site.xml is in place and hadoop.conf.dir has been set, instructions or by manually StackOverflowException.
There is no default for this setting. configurations of Hadoop, e.g. For a
offset.flush.interval.ms to a smaller value so that records flush at The connectors Well occasionally send you account related emails.
[2019-12-07 12:55:08,070] INFO HiveSinkConfigDefBuilder values: On a magnetar, which force would exert a bigger pull on a 10 kg iron chunk? at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:175) at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1164) heartbeat.interval.ms = 3000 consumer auto.offset.reset configuration connector and then follow the manual connector installation to an empty string) when using this configuration property, otherwise the [2019-12-07 12:55:08,039] INFO Opened a connection to metastore, current connections: 5 (hive.metastore:478)
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