java.sql.BatchUpdateException: Broken pipe (Write failed), server ClickHouseNode

I write a Scala code using Spark to push data from a Hive table to ClickHouse. When I use the clickhouse-jdbc version 0.6.0, I set the following parameters.
```
properties.setProperty("http_connection_provider", HttpConnectionProvider.APACHE_HTTP_CLIENT.name());
properties.setProperty("socket_ip_tos", "32");
```
There is no problem when predicting 5kw data , but an exception is thrown when it becomes 5e data. threw an error as follows:
```
24/04/25 15:05:53 [task-result-getter-0] WARN TaskSetManager: Lost task 67.0 in stage 1.0 (TID 690, 11.11.10.76, executor 60): java.sql.BatchUpdateException: Broken pipe (Write failed), server ClickHouseNode [uri=http://sq02-ch-000119-clickhouse-17-1.local:8623/default, options={db=ge_order,socket_ip_tos=32,http_connection_provider=APACHE_HTTP_CLIENT}]@290467083
at com.clickhouse.jdbc.SqlExceptionUtils.batchUpdateError(SqlExceptionUtils.java:107)
at com.clickhouse.jdbc.internal.InputBasedPreparedStatement.executeAny(InputBasedPreparedStatement.java:154)
at com.clickhouse.jdbc.internal.AbstractPreparedStatement.executeLargeBatch(AbstractPreparedStatement.java:85)
at com.clickhouse.jdbc.internal.ClickHouseStatementImpl.executeBatch(ClickHouseStatementImpl.java:752)
at com.jd.clickhouse.spark.DataFrameExt$$anonfun$13$$anonfun$apply$23.apply(DataFrameExt.scala:513)
at com.jd.clickhouse.spark.DataFrameExt$$anonfun$13$$anonfun$apply$23.apply(DataFrameExt.scala:467)
```
When I adjust it to:
```
properties.setProperty("http_connection_provider", HttpConnectionProvider.HTTP_URL_CONNECTION.name())
```
threw an error as follows:
```
WARN TaskSetManager: Lost task 91.0 in stage 1.0 (TID 717, 10.198.62.132, executor 116): java.sql.BatchUpdateException: Error writing request body to server, server ClickHouseNode [uri=http://sq02-ch-000119-clickhouse-23-1.local:8623/default, options={db=ge_order,socket_ip_tos=32,http_connection_provider=HTTP_URL_CONNECTION}]@665046067
at com.clickhouse.jdbc.SqlExceptionUtils.batchUpdateError(SqlExceptionUtils.java:107)
at com.clickhouse.jdbc.internal.InputBasedPreparedStatement.executeAny(InputBasedPreparedStatement.java:154)
at com.clickhouse.jdbc.internal.AbstractPreparedStatement.executeLargeBatch(AbstractPreparedStatement.java:85)
at com.clickhouse.jdbc.internal.ClickHouseStatementImpl.executeBatch(ClickHouseStatementImpl.java:752)
at com.jd.clickhouse.spark.DataFrameExt$$anonfun$13$$anonfun$apply$23.apply(DataFrameExt.scala:513)
```

When I use the ru.yandex.clickhouse 0.1.34 ,The same problem will not occur.

The versions of ClickHouse, Spark version are all consistent.

Start with the failing calls in DataFrameExt.scala at lines 467 and 513, then inspect clickhouse-jdbc's InputBasedPreparedStatement.executeAny and the two HTTP connection providers. Reproduce the large Spark/Hive batch with clickhouse-jdbc 0.6.0 and compare it with ru.yandex.clickhouse 0.1.34; done means identifying a reproducible cause and a verified fix or supported configuration for the broken-pipe failure.

Written by the indexing model from the issue text.