[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.*}

提供された PySpark の例を pandas 1.1.5 および pyarrow 2.0.0 で再現し、その後、ArrowPythonRunner から ArrowWriter を経て org.apache.arrow.vector.types.pojo.Field.getField に至るまで失敗を追跡します。createString に関係する Java FlatBuffers 依存関係を、issue にリンクされた移行ドキュメントと比較します。互換性の問題と適用可能な移行パスが文書化または検証されていれば完了です。

索引モデルが issue の本文から書いたものです。