[Java] PySpark3 with pandas 1.1.5 and pyarrow 2.0.0 getting the below error

While running pyspark3 with pandas 1.1.5 and pyarrow 2.0.0 getting the below error:

**Spark Code:**
```java

import pyarrow
import pandas as pd

df = pd.DataFrame({'col1' : [1,2,3], 'col2': [4,5,6]})
df_sp = spark.createDataFrame(df)
df_sp.cache().count()
schema = df_sp.schema

def dummy_udf(data):
return data

res = df_sp.groupby('col1').applyInPandas(dummy_udf, schema=schema)
print(res.cache().count())
print(res.toPandas())
```

**Exception:**
```java

21/09/17 07:28:10 ERROR util.Utils: Uncaught exception in thread stdout writer for python3
java.lang.NoSuchMethodError: com.google.flatbuffers.FlatBufferBuilder.createString(Ljava/lang/CharSequence;)I
at org.apache.arrow.vector.types.pojo.Field.getField(Field.java:204)
at org.apache.arrow.vector.types.pojo.Schema.getSchema(Schema.java:178)
at org.apache.arrow.vector.ipc.message.MessageSerializer.serializeMetadata(MessageSerializer.java:187)
at org.apache.arrow.vector.ipc.message.MessageSerializer.serialize(MessageSerializer.java:165)
at org.apache.arrow.vector.ipc.ArrowWriter.ensureStarted(ArrowWriter.java:159)
at org.apache.arrow.vector.ipc.ArrowWriter.start(ArrowWriter.java:112)
at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.$anonfun$writeIteratorToStream$1(ArrowPythonRunner.scala:86)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.writeIteratorToStream(ArrowPythonRunner.scala:103)
at org.apache.spark.api.python.BasePythonRunner$WriterThread.$anonfun$run$1(PythonRunner.scala:397)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1996)
at org.apache.spark.api.python.BasePythonRunner$WriterThread.run(PythonRunner.scala:232)
21/09/17 07:28:10 ERROR util.SparkUncaughtExceptionHandler: Uncaught exception in thread Thread[stdout writer for python3,5,main]
java.lang.NoSuchMethodError: com.google.flatbuffers.FlatBufferBuilder.createString(Ljava/lang/CharSequence;)I
at org.apache.arrow.vector.types.pojo.Field.getField(Field.java:204)
at org.apache.arrow.vector.types.pojo.Schema.getSchema(Schema.java:178)
at org.apache.arrow.vector.ipc.message.MessageSerializer.serializeMetadata(MessageSerializer.java:187)
at org.apache.arrow.vector.ipc.message.MessageSerializer.serialize(MessageSerializer.java:165)
at org.apache.arrow.vector.ipc.ArrowWriter.ensureStarted(ArrowWriter.java:159)
at org.apache.arrow.vector.ipc.ArrowWriter.start(ArrowWriter.java:112)
at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.$anonfun$writeIteratorToStream$1(ArrowPythonRunner.scala:86)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.writeIteratorToStream(ArrowPythonRunner.scala:103)
at org.apache.spark.api.python.BasePythonRunner$WriterThread.$anonfun$run$1(PythonRunner.scala:397)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1996)
at org.apache.spark.api.python.BasePythonRunner$WriterThread.run(PythonRunner.scala:232)
21/09/17 07:28:10 WARN storage.BlockManager: Putting block rdd_25_69 failed due to exception org.apache.spark.SparkException: Python worker exited unexpectedly (crashed).
21/09/17 07:28:10 INFO memory.MemoryStore: MemoryStore cleared
21/09/17 07:28:10 INFO storage.BlockManager: BlockManager stopped
21/09/17 07:28:10 INFO util.ShutdownHookManager: Shutdown hook called
```

**Reporter**: [Ranga Reddy](https://issues.apache.org/jira/browse/ARROW-14038)

_{**Note**: *This issue was originally created as [ARROW-14038](https://issues.apache.org/jira/browse/ARROW-14038). Please see the [migration documentation](https://github.com/apache/arrow/issues/14542) for further details.*}

Tái hiện ví dụ PySpark được cung cấp với pandas 1.1.5 và pyarrow 2.0.0, sau đó lần theo lỗi từ ArrowPythonRunner qua ArrowWriter đến org.apache.arrow.vector.types.pojo.Field.getField. So sánh dependency Java FlatBuffers liên quan trong createString với tài liệu migration được liên kết trong issue; được xem là hoàn tất khi vấn đề tương thích và đường dẫn migration áp dụng được đã được ghi lại hoặc xác minh.

Do mô hình lập chỉ mục viết ra từ nội dung của issue.