如何使用pyspark从HBase表中读取数据？

from pyspark import SparkContext, SparkConf
from pyspark.sql import SparkSession

spark = SparkSession.builder \
    .appName("Read data from HBase") \
    .getOrCreate()

conf = {
    "hbase.zookeeper.quorum": "<Zookeeper Quorum>",
    "hbase.mapreduce.inputtable": "<HBase Table Name>",
    "hbase.mapreduce.scan.row.start": "<Start Row Key>",
    "hbase.mapreduce.scan.row.stop": "<Stop Row Key>",
    "hbase.mapreduce.scan.columns": "<Column Family>:<Column Qualifier>"
}

rdd = spark.sparkContext.newAPIHadoopRDD(
    "org.apache.hadoop.hbase.mapreduce.TableInputFormat",
    "org.apache.hadoop.hbase.io.ImmutableBytesWritable",
    "org.apache.hadoop.hbase.client.Result",
    keyConverter="org.apache.spark.examples.pythonconverters.ImmutableBytesWritableToStringConverter",
    valueConverter="org.apache.spark.examples.pythonconverters.HBaseResultToStringConverter",
    conf=conf
)

df = rdd.toDF()

spark.stop()