Update TableReader.scala

[yangBottle]

fixed spark3.0 access hive table while data in hbase problem

What changes were proposed in this pull request?

The PR modify TableReader.scala to create OldHadoopRDD when inputformat is 'org.apache.hadoop.hive.hbase.HiveHBaseTableInputFormat', beacuse NewHadoopRDD uses the new MapReduce API (org.apache.hadoop.mapreduce),but some initialization operations for hbase are implemented using the older MapReduce API (org.apache.hadoop.mapred),this makes the default NewHadoopRDD can not access hbase table.Therefore, in order to be compatible with implementation classes similar to 'org.apache.hadoop.hive.hbase.HiveHBaseTableInputFormat' that uses the old API and the new API, it should be prioritized whether to create OldHadoopRDD.
This PR is similar to #29178

Reference link： https://issues.apache.org/jira/browse/SPARK-32380

Why are the changes needed?

Sparksql cannot access hive table while data in hbase, want to fixed this bug.

Does this PR introduce any user-facing change?

No

How was this patch tested?

• step 1 create hbase table

hbase(main):001:0>create 'hive_hbase_test', 'f'

hbase(main):001:0> put 'hive_hbase_test', 'r1', 'f:c1', '123'

• step 2 create hive table mapping to hbase table

CREATE EXTERNAL TABLE test.hbase_test(

key string COMMENT '',

value string COMMENT '')

STORED BY

'org.apache.hadoop.hive.hbase.HBaseStorageHandler'

WITH SERDEPROPERTIES (

'hbase.columns.mapping'=':key,f:c1',

'serialization.format'='1')

TBLPROPERTIES (

'hbase.table.name'='hive_hbase_test')

• step 3 using spark-sql cli to query data in hive

spark-sql> select * from test.hbase_test limit 1;

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