pyspark- snowflake unable to load data from table

Question

i am trying to query data from snowflake using pyspark in glue with below code

from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.job import Job
from py4j.java_gateway import java_import
SNOWFLAKE_SOURCE_NAME = "net.snowflake.spark.snowflake"

## @params: [JOB_NAME, URL, ACCOUNT, WAREHOUSE, DB, SCHEMA, USERNAME, PASSWORD]
args = getResolvedOptions(sys.argv, ['JOB_NAME', 'URL', 'ACCOUNT', 'WAREHOUSE', 'DB', 'SCHEMA', 'USERNAME', 'PASSWORD'])
sc = SparkContext()
glueContext = GlueContext(sc)
spark = glueContext.spark_session
job = Job(glueContext)
job.init(args['JOB_NAME'], args)
java_import(spark._jvm, "net.snowflake.spark.snowflake")

## uj = sc._jvm.net.snowflake.spark.snowflake
spark._jvm.net.snowflake.spark.snowflake.SnowflakeConnectorUtils.enablePushdownSession(spark._jvm.org.apache.spark.sql.SparkSession.builder().getOrCreate())

table="crx--54gfg--hyg65hghg76768_t6ghh75y"

options = {
"sfURL" : args['URL'],
"sfAccount" : args['ACCOUNT'],
"sfUser" : args['USERNAME'],
"sfPassword" : args['PASSWORD'],
"sfDatabase" : args['DB'],
"sfSchema" : args['SCHEMA'],
"sfWarehouse" : args['WAREHOUSE'],
}

query=f"select * from {table}"

df = spark.read \
  .format(SNOWFLAKE_SOURCE_NAME ) \
  .options(**options) \
  .option("query", query) \
  .load()

display(df)

but i am getting below error

net.snowflake.client.jdbc.snowflakesqlexception sql compilation error syntax error  line 1 at position 111 unexpected '<EOF>'

i think it mostly because of the db table name which have some special characters. how to resole this error?