jingxiong zhong created SPARK-40916:
---------------------------------------
Summary: udf could not filter null value cause npe
Key: SPARK-40916
URL: https://issues.apache.org/jira/browse/SPARK-40916
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 3.2.0
Environment: spark3.2.0
hadoop2.7.3
hive2.3.9
Reporter: jingxiong zhong
```
select
t22.uid,
from
(
SELECT
code,
count(distinct uid) cnt
FROM
(
SELECT
uid,
code,
lng,
lat
FROM
(
select
riskmanage_dw.GEOHASH_ENCODE(manhattan_dw.aes_decode(lng),manhattan_dw.aes_decode(lat),8)
as code,
uid,
lng,
lat,
dt as event_time
from
(
select
param['timestamp'] as dt,
get_json_object(get_json_object(param['input'],'$.baseInfo'),'$.uid') uid,
get_json_object(get_json_object(param['input'],'$.envInfo'),'$.lng') lng,
get_json_object(get_json_object(param['input'],'$.envInfo'),'$.lat') lat
from manhattan_ods.ods_log_manhattan_fbi_workflow_result_log
and
get_json_object(get_json_object(param['input'],'$.bizExtents'),'$.productId')='2001'
)a
and lng is not null
and lat is not null
) t2
group by uid,code,lng,lat
) t1
GROUP BY code having count(DISTINCT uid)>=10
)t11
join
(
SELECT
uid,
code,
lng,
lat
FROM
(
select
riskmanage_dw.GEOHASH_ENCODE(manhattan_dw.aes_decode(lng),manhattan_dw.aes_decode(lat),8)
as code,
uid,
lng,
lat,
dt as event_time
from
(
select
param['timestamp'] as dt,
get_json_object(get_json_object(param['input'],'$.baseInfo'),'$.uid') uid,
get_json_object(get_json_object(param['input'],'$.envInfo'),'$.lng') lng,
get_json_object(get_json_object(param['input'],'$.envInfo'),'$.lat') lat
from manhattan_ods.ods_log_manhattan_fbi_workflow_result_log
and
get_json_object(get_json_object(param['input'],'$.bizExtents'),'$.productId')='2001'
)a
and lng is not null
and lat is not null
) t2
where substr(code,0,6)<>'wx4ey3'
group by uid,code,lng,lat
) t22 on t11.code=t22.code
group by t22.uid
```
this sql can't run because
`riskmanage_dw.GEOHASH_ENCODE(manhattan_dw.aes_decode(lng),manhattan_dw.aes_decode(lat),8)`
will throw npe(`Caused by: org.apache.hadoop.hive.ql.metadata.HiveException:
Unable to execute method public java.lang.String
com.xiaoju.automarket.GeohashEncode.evaluate(java.lang.Double,java.lang.Double,java.lang.Integer)
with arguments {null,null,8}:null`), but I have filter null in my condition,
the udf of manhattan_dw.aes_decode will return null if lng or lat is null, *but
after I remove `where substr(code,0,6)<>'wx4ey3' `this condition, it can run
normally.*
complete :
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Unable to execute
method public java.lang.String
com.xiaoju.automarket.GeohashEncode.evaluate(java.lang.Double,java.lang.Double,java.lang.Integer)
with arguments {null,null,8}:null
at
org.apache.hadoop.hive.ql.exec.FunctionRegistry.invoke(FunctionRegistry.java:1049)
at org.apache.spark.sql.hive.HiveSimpleUDF.eval(hiveUDFs.scala:102)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate.subExpr_3$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate.eval(Unknown
Source)
at
org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3(basicPhysicalOperators.scala:275)
at
org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3$adapted(basicPhysicalOperators.scala:274)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:515)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithKeys_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
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