[Bug] spark sql and(&) operation and bitwiseAND function query failed in 25.1.0

``` SQL
-- Doris CREATE TABLE SQL
create table AndTestTable (
`user_id` varchar(10) not null,
status int not null
) ENGINE = OLAP
UNIQUE KEY(`user_id`)
COMMENT 'test'
DISTRIBUTED BY HASH(`user_id`) BUCKETS AUTO;
insert into AndTestTable values ('1', 1), ('2', 2), ('3', 3);
```

pyspark code
``` python
query = spark.read.format("doris")\
.options(**doris_options)\
.option('doris.table.identifier', 'database.AndTestTable')\
.load().createOrReplaceTempView("and_test_table_temp")
query = spark.sql("""
select user_id, status
from and_test_table_temp
where (status & 2) > 0
""")
#query = spark.table("and_test_table_temp").filter(col("status").bitwiseAND(2) > 0)
query.show()
```

exception message:
Py4JJavaError: An error occurred while calling o91.showString.
: java.lang.RuntimeException: query plan request failed
at org.apache.doris.spark.client.DorisFrontendClient.lambda$getQueryPlan$6(DorisFrontendClient.java:322)
at org.apache.doris.spark.client.DorisFrontendClient.requestFrontends(DorisFrontendClient.java:160)
at org.apache.doris.spark.client.DorisFrontendClient.requestFrontends(DorisFrontendClient.java:150)
at org.apache.doris.spark.client.DorisFrontendClient.getQueryPlan(DorisFrontendClient.java:305)
at org.apache.doris.spark.client.read.ReaderPartitionGenerator.generatePartitions(ReaderPartitionGenerator.java:82)
at org.apache.doris.spark.read.AbstractDorisScan.planInputPartitions(AbstractDorisScan.scala:40)
at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.inputPartitions$lzycompute(BatchScanExec.scala:54)
at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.inputPartitions(BatchScanExec.scala:54)
at org.apache.spark.sql.execution.datasources.v2.DataSourceV2ScanExecBase.supportsColumnar(DataSourceV2ScanExecBase.scala:142)
at org.apache.spark.sql.execution.datasources.v2.DataSourceV2ScanExecBase.supportsColumnar$(DataSourceV2ScanExecBase.scala:141)
at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.supportsColumnar(BatchScanExec.scala:36)
at org.apache.spark.sql.execution.datasources.v2.DataSourceV2Strategy.apply(DataSourceV2Strategy.scala:143)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$1(QueryPlanner.scala:63)
at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93)
at org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:69)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$3(QueryPlanner.scala:78)
at scala.collection.TraversableOnce$folder$1.apply(TraversableOnce.scala:196)
at scala.collection.TraversableOnce$folder$1.apply(TraversableOnce.scala:194)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.TraversableOnce.foldLeft(TraversableOnce.scala:199)
at scala.collection.TraversableOnce.foldLeft$(TraversableOnce.scala:192)
at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1431)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$2(QueryPlanner.scala:75)
at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93)
at org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:69)
at org.apache.spark.sql.execution.QueryExecution$.createSparkPlan(QueryExecution.scala:459)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$sparkPlan$1(QueryExecution.scala:145)
at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:185)
at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:510)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:185)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:184)
at org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:145)
at org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:138)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executedPlan$1(QueryExecution.scala:158)
at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:185)
at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:510)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:185)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:184)
at org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:158)
at org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:151)
at org.apache.spark.sql.execution.QueryExecution.simpleString(QueryExecution.scala:204)
at org.apache.spark.sql.execution.QueryExecution.org$apache$spark$sql$execution$QueryExecution$$explainString(QueryExecution.scala:249)
at org.apache.spark.sql.execution.QueryExecution.explainString(QueryExecution.scala:218)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:103)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:169)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:95)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3856)
at org.apache.spark.sql.Dataset.head(Dataset.scala:2863)
at org.apache.spark.sql.Dataset.take(Dataset.scala:3084)
at org.apache.spark.sql.Dataset.getRows(Dataset.scala:288)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:327)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.lang.Thread.run(Thread.java:750)
Caused by: org.apache.doris.spark.exception.DorisException: query plan failed, exception: errCode = 2, detailMessage = Unknown column 'null' in 'table list'
at org.apache.doris.spark.client.DorisFrontendClient.lambda$getQueryPlan$6(DorisFrontendClient.java:318)
... 75 more

Start by reproducing the PySpark SQL and bitwiseAND examples against the Doris table, then inspect DorisFrontendClient.java around getQueryPlan and ReaderPartitionGenerator.java around generatePartitions. Compare the failing query-plan request with a working filter; done means both bitwise predicate forms complete successfully and return the matching rows.

Written by the indexing model from the issue text.