Babulal created SPARK-28413:
-------------------------------
Summary: sizeInByte is Not updated for parquet datasource on Next
Insert.
Key: SPARK-28413
URL: https://issues.apache.org/jira/browse/SPARK-28413
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.4.1, 2.3.2
Reporter: Babulal
In SPARK-21237 ([link
SPARK-21237|https://issues.apache.org/jira/browse/SPARK-21237] it is fix when
Appending data using write.mode("append") . But when create same type of
parquet table using SQL and Insert data ,stats shows in-correct (not updated).
*+Correct Stats Example (SPARK-21237)+*
scala> spark.range(100).write.saveAsTable("tab1")
scala> spark.sql("explain cost select * from tab1").show(false)
+------------------------------------------------------------------------
|plan
+------------------------------------------------------------------------
|== Optimized Logical Plan ==
Relation[id#10L] parquet, Statistics(*sizeInBytes=784.0 B*, hints=none)
== Physical Plan ==
FileScan parquet default.tab1[id#10L] Batched: false, Format: Parquet,
scala> spark.range(100).write.mode("append").saveAsTable("tab1")
scala> spark.sql("explain cost select * from tab1").show(false)
+----------------------------------------------------------------------
|plan
+----------------------------------------------------------------------
|== Optimized Logical Plan ==
Relation[id#23L] parquet, Statistics(*sizeInBytes=1568.0 B*, hints=none)
== Physical Plan ==
FileScan parquet default.tab1[id#23L] Batched: false, Format: Parquet,
+*Incorrect Stats Example*+
scala> spark.sql("create table tab2(id bigint) using parquet")
res6: org.apache.spark.sql.DataFrame = []
scala> spark.sql("explain cost select * from tab2").show(false)
+----------------------------------------------------------------------
|plan
+----------------------------------------------------------------------
|== Optimized Logical Plan ==
Relation[id#30L] parquet, Statistics(*sizeInBytes=374.0 B,* hints=none)
== Physical Plan ==
FileScan parquet default.tab2[id#30L] Batched: false, Format: Parquet,
scala> spark.sql("insert into tab2 select 1")
res9: org.apache.spark.sql.DataFrame = []
scala> spark.sql("explain cost select * from tab2").show(false)
+----------------------------------------------------------------------
|plan
+----------------------------------------------------------------------
|== Optimized Logical Plan ==
Relation[id#30L] parquet, Statistics(*sizeInBytes={color:#FF0000}374.0
B{color}*, hints=none)
== Physical Plan ==
FileScan parquet default.tab2[id#30L] Batched: false, Format: Parquet,
Both table are same type of table
scala> spark.sql("desc formatted tab1").show(2000,false)
+----------------------------+--------------------------------------------------------------+
|col_name |data_type |
+----------------------------+--------------------------------------------------------------+
|id |bigint |
| | |
|# Detailed Table Information| |
|Database |default |
|Table |tab1 |
|Owner |Administrator |
|Created Time |Tue Jul 16 21:08:35 IST 2019 |
|Last Access |Thu Jan 01 05:30:00 IST 1970 |
|Created By |Spark 2.3.2 |
|Type |MANAGED |
|Provider |parquet |
|Table Properties |[transient_lastDdlTime=1563291579] |
|Statistics |1568 bytes |
|Location |file:/x/2 |
|Serde Library |org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe |
|InputFormat |org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat |
|OutputFormat |org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat|
scala> spark.sql("desc formatted tab2").show(2000,false)
+----------------------------+--------------------------------------------------------------
|col_name |data_type
+----------------------------+--------------------------------------------------------------
|id |bigint
| |
|# Detailed Table Information|
|Database |default
|Table |tab2
|Owner |Administrator
|Created Time |Tue Jul 16 21:10:24 IST 2019
|Last Access |Thu Jan 01 05:30:00 IST 1970
|Created By |Spark 2.3.2
|Type |MANAGED
|Provider |parquet
|Table Properties |[transient_lastDdlTime=1563291624]
|Location |file:/x/1
|Serde Library |org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe
|InputFormat |org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
|OutputFormat |org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat
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