[Bug] [seatunnel-formats][seatunnel-format-json] The process of collecting 'SeaTunnelRow' may lead to NPE

### Search before asking

- [x] I had searched in the [issues](https://github.com/apache/seatunnel/issues?q=is%3Aissue+label%3A%22bug%22) and found no similar issues.

### What happened

When I use HTTP as the source and the 'content_field' parameter, it generates NPE

### SeaTunnel Version

2.3.11

### SeaTunnel Config

```conf
env {
# You can set spark configuration here
# see available properties defined by spark: https://spark.apache.org/docs/latest/configuration.html#available-properties
#job.mode = BATCH
job.name = "SeaTunnel"
spark.executor.instances = 1
spark.executor.cores = 1
spark.executor.memory = "1g"
spark.master = "local[2]"
}
source {
Http {
url = "http://localhost:30810/datastudio-flow/api/v1/project-spaces/1952551147977969664/single-tasks/1964983360845647872/detail"
method = "GET"
format = "json"
schema = {
fields {
id = long
createdBy = string
}
}
headers={
user_id="CIDC-U-5e15075d98684cc88a9a4b30aa72ddcf"
}
content_field = "$.data.*"
plugin_output = "http"
}
}

transform {
# split data by specific delimiter

# you can also use other transform plugins, such as sql
sql {
plugin_input = "http"
query = "select * from dual"
plugin_output = "console"
}

# If you would like to get more information about how to configure seatunnel and see full list of transform plugins,
# please go to https://seatunnel.apache.org/docs/category/transform-v2
}

# 控制台打印读取的 Http 数据
sink {
Console {
plugin_input = "console"
parallelism = 1
}
}
```

### Running Command

```shell
bin/start-seatunnel-spark-3-connector-v2.sh \
--master local[2] \
--deploy-mode client \
--config ./config/fttp2console.config
```

### Error Exception

```log
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2672)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2608)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2607)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2607)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1182)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1182)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1182)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2860)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2802)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2791)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:952)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2228)
at org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.writeWithV2(WriteToDataSourceV2Exec.scala:377)
... 38 more
Caused by: java.lang.RuntimeException: java.lang.NullPointerException
at org.apache.seatunnel.translation.spark.source.partition.batch.SeaTunnelBatchPartitionReader.next(SeaTunnelBatchPartitionReader.java:38)
at org.apache.spark.sql.execution.datasources.v2.PartitionIterator.hasNext(DataSourceRDD.scala:119)
at org.apache.spark.sql.execution.datasources.v2.MetricsIterator.hasNext(DataSourceRDD.scala:156)
at org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.$anonfun$hasNext$1(DataSourceRDD.scala:63)
at org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.$anonfun$hasNext$1$adapted(DataSourceRDD.scala:63)
at scala.Option.exists(Option.scala:376)
at org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.hasNext(DataSourceRDD.scala:63)
at org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.advanceToNextIter(DataSourceRDD.scala:97)
at org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.hasNext(DataSourceRDD.scala:63)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
at org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.$anonfun$run$1(WriteToDataSourceV2Exec.scala:435)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1538)
at org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.run(WriteToDataSourceV2Exec.scala:480)
at org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.$anonfun$writeWithV2$2(WriteToDataSourceV2Exec.scala:381)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:136)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NullPointerException
at org.apache.seatunnel.format.json.JsonDeserializationSchema.setCollectorTablePath(JsonDeserializationSchema.java:162)
at org.apache.seatunnel.format.json.JsonDeserializationSchema.collect(JsonDeserializationSchema.java:148)
at org.apache.seatunnel.connectors.seatunnel.http.source.DeserializationCollector.collect(DeserializationCollector.java:36)
at org.apache.seatunnel.connectors.seatunnel.http.source.HttpSourceReader.collect(HttpSourceReader.java:419)
at org.apache.seatunnel.connectors.seatunnel.http.source.HttpSourceReader.pollAndCollectData(HttpSourceReader.java:137)
at org.apache.seatunnel.connectors.seatunnel.http.source.HttpSourceReader.internalPollNext(HttpSourceReader.java:362)
at org.apache.seatunnel.connectors.seatunnel.http.source.HttpSourceReader.pollNext(HttpSourceReader.java:330)
at org.apache.seatunnel.translation.source.ParallelSource.run(ParallelSource.java:144)
```

### Zeta or Flink or Spark Version

spark

### Java or Scala Version

java8

### 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)