xpleaf opened a new issue, #1808: URL: https://github.com/apache/incubator-seatunnel/issues/1808
### Search before asking - [X] I had searched in the [issues](https://github.com/apache/incubator-seatunnel/issues?q=is%3Aissue+label%3A%22bug%22) and found no similar issues. ### What happened When sink is ClickHouse and multiple hosts are configured: ``` sink { clickhouse { host = "192.168.56.101:8123,192.168.56.102:8123" ...... } } ``` All kinds of problems are triggered and the current system does not work properly. For details, see the exception information description in the Exception section. The root cause of this problem is that the `split_mode` code is not compatible with multiple hosts. The processing logic of the `split_mode` code assumes that the host configuration item has only one address.This will cause ClickHouse Sink to fail if multiple hosts are specified, regardless of whether `split_mode` is used. I have re-compatible the multi-host scenario in a subsequent commit without affecting the existing functionality, and when `split_mode` is false, data writes are load-balanced according to the multiple hosts specified. ### SeaTunnel Version 2.1.1/dev ### SeaTunnel Config ```conf env { spark.app.name = "SeaTunnel" spark.sql.catalogImplementation = "hive" spark.executor.instances = 2 spark.executor.cores = 1 spark.executor.memory = "1g" spark.master = local } source { hive { pre_sql = "select id,key1,value1,key2,value2,key3,value3,dt from gac.tmp" result_table_name = "tmp" } } transform {} sink { clickhouse { host = "192.168.10.101:8123,192.168.10.102:8123" clickhouse.socket_timeout = 50000 database = "gac" table = "hive_tmp" fields = ["id", "key1", "value1", "key2", "value2", "key3", "value3", "dt"] username = "gac_se" password = "123456" bulk_size = 20000 split_mode = false // or true } } ``` ### Running Command ```shell default ``` ### Error Exception ```log When host is set to multiple hosts. When `split_mode` is true, the exception message is: Caused by: java.lang.IllegalArgumentException: port is missed or wrong at ru.yandex.clickhouse.ClickhouseJdbcUrlParser.parseClickhouseUrl(ClickhouseJdbcUrlParser.java:42) at ru.yandex.clickhouse.ClickhouseJdbcUrlParser.parse(ClickhouseJdbcUrlParser.java:30) at ru.yandex.clickhouse.ClickHouseConnectionImpl.<init>(ClickHouseConnectionImpl.java:69) at ru.yandex.clickhouse.ClickHouseDriver.connect(ClickHouseDriver.java:55) at ru.yandex.clickhouse.BalancedClickhouseDataSource.getConnection(BalancedClickhouseDataSource.java:194) at org.apache.seatunnel.spark.clickhouse.sink.Clickhouse$$anonfun$output$1$$anonfun$1.apply(Clickhouse.scala:84) at org.apache.seatunnel.spark.clickhouse.sink.Clickhouse$$anonfun$output$1$$anonfun$1.apply(Clickhouse.scala:82) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.seatunnel.spark.clickhouse.sink.Clickhouse$$anonfun$output$1.apply(Clickhouse.scala:82) at org.apache.seatunnel.spark.clickhouse.sink.Clickhouse$$anonfun$output$1.apply(Clickhouse.scala:80) at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935) at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:121) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) When `split_mode` is false, the exception information is: Caused by: java.lang.IllegalArgumentException: port is missed or wrong at ru.yandex.clickhouse.ClickhouseJdbcUrlParser.parseClickhouseUrl(ClickhouseJdbcUrlParser.java:42) at ru.yandex.clickhouse.ClickhouseJdbcUrlParser.parse(ClickhouseJdbcUrlParser.java:30) at ru.yandex.clickhouse.ClickHouseConnectionImpl.<init>(ClickHouseConnectionImpl.java:69) at ru.yandex.clickhouse.ClickHouseDriver.connect(ClickHouseDriver.java:55) at ru.yandex.clickhouse.BalancedClickhouseDataSource.getConnection(BalancedClickhouseDataSource.java:194) at org.apache.seatunnel.spark.clickhouse.sink.Clickhouse$$anonfun$output$1$$anonfun$1.apply(Clickhouse.scala:84) at org.apache.seatunnel.spark.clickhouse.sink.Clickhouse$$anonfun$output$1$$anonfun$1.apply(Clickhouse.scala:82) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.seatunnel.spark.clickhouse.sink.Clickhouse$$anonfun$output$1.apply(Clickhouse.scala:82) at org.apache.seatunnel.spark.clickhouse.sink.Clickhouse$$anonfun$output$1.apply(Clickhouse.scala:80) at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935) at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:121) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) ``` ### Flink or Spark Version spark local ### Java or Scala Version openjdk8 ### Screenshots _No response_ ### Are you willing to submit PR? - [X] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://www.apache.org/foundation/policies/conduct) -- This is an automated message from the Apache Git Service. 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