Re:Re: please help why there is big difference in partitionFilter in spark2.4.2 and spark3.1.3.

[zhangliyun]

Hi Yuming
  thanks for the suggestion , now the partitionFilter is normal. Appreciate for 
your help!


Best Regards
Kelly Zhang, Liyun Zhang
















在 2023-03-06 11:04:55，"Yuming Wang" <wgy...@gmail.com> 写道：

Hi Liyun,


This is because of this change: 
https://issues.apache.org/jira/browse/SPARK-27638.
You can set spark.sql.legacy.typeCoercion.datetimeToString.enabled to true to 
restore the old behavior.


On Mon, Mar 6, 2023 at 10:27 AM zhangliyun <kelly...@126.com> wrote:


Hi all 




  i have a spark sql  , before in  spark 2.4.2 it runs correctly, when i 
upgrade to spark 3.1.3, it has some problem.

 the sql

 ```

select * from eds_rds.cdh_prpc63cgudba_pp_index_disputecasedetails_hourly where 
dt >= date_sub('${today}',30);




```

it will load the data of past 30 days of table  
eds_rds.cdh_prpc63cgudba_pp_index_disputecasedetails_hourly, here 
today='2023-03-01'




in spark2  i saw the physical plan  the partition Filter is PartitionFilters: 
[isnotnull(dt#1461), (dt#1461 >= 2023-01-31)]
 +- *(4) FileScan parquet 
eds_rds.cdh_prpc63cgudba_pp_index_disputecasedetails_hourly[disputeid#1327,statuswork#1330,opTs#1457,trailSeqno#1459,trailRba#1460,dt#1461,hr#1462]
 Batched: true, Format: Parquet, Location: 
PrunedInMemoryFileIndex[gs://pypl-bkt-prd-row-std-gds-non-edw-tables/apps/risk/eds/eds_risk/eds_r...,
 PartitionCount: 805, PartitionFilters: [isnotnull(dt#1461), (dt#1461 >= 
2023-01-31)], PushedFilters: [IsNotNull(disputeid)], ReadSchema: 
struct<disputeid:string,statuswork:string,opTs:string,trailSeqno:string,trailRba:string>







in spark3 , i saw the physical plan ,  the partitionFilter is 
[isnotnull(dt#1602), (cast(dt#1602 as date) >= 19387)]

```
(8) Scan parquet eds_rds.cdh_prpc63cgudba_pp_index_disputecasedetails_hourly
Output [7]: [disputeid#1468, statuswork#1471, opTs#1598, trailSeqno#1600, 
trailRba#1601, dt#1602, hr#1603]
Batched: true
Location: InMemoryFileIndex 
[gs://pypl-bkt-prd-row-std-gds-non-edw-tables/apps/risk/eds/eds_risk/eds_rds/cdh/prpc63cgudba_pp_index_disputecasedetails/dt=2023-01-30/hr=00,
 ... 784 entries]
PartitionFilters: [isnotnull(dt#1602), (cast(dt#1602 as date) >= 19387)]
PushedFilters: [IsNotNull(disputeid)]
ReadSchema: 
struct<disputeid:string,statuswork:string,opTs:string,trailSeqno:string,trailRba:string>


```


here i want to ask why there is big difference in partitionFitler in spark2 and 
spark3,  i guess most my spark configure is similar in spark2 and spark3 to run 
the same sql