[SPARK-18877][SQL][BACKPORT-2.1] CSVInferSchema.inferField on DecimalType should find a common type with typeSoFar
#16463
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…alType should find a common type with `typeSoFar`
CSV type inferencing causes `IllegalArgumentException` on decimal numbers with heterogeneous precisions and scales because the current logic uses the last decimal type in a **partition**. Specifically, `inferRowType`, the **seqOp** of **aggregate**, returns the last decimal type. This PR fixes it to use `findTightestCommonType`.
**decimal.csv**
```
9.03E+12
1.19E+11
```
**BEFORE**
```scala
scala> spark.read.format("csv").option("inferSchema", true).load("decimal.csv").printSchema
root
|-- _c0: decimal(3,-9) (nullable = true)
scala> spark.read.format("csv").option("inferSchema", true).load("decimal.csv").show
16/12/16 14:32:49 ERROR Executor: Exception in task 0.0 in stage 4.0 (TID 4)
java.lang.IllegalArgumentException: requirement failed: Decimal precision 4 exceeds max precision 3
```
**AFTER**
```scala
scala> spark.read.format("csv").option("inferSchema", true).load("decimal.csv").printSchema
root
|-- _c0: decimal(4,-9) (nullable = true)
scala> spark.read.format("csv").option("inferSchema", true).load("decimal.csv").show
+---------+
| _c0|
+---------+
|9.030E+12|
| 1.19E+11|
+---------+
```
Pass the newly add test case.
Author: Dongjoon Hyun <[email protected]>
Closes #16320 from dongjoon-hyun/SPARK-18877.
|
Test build #70829 has finished for PR 16463 at commit
|
Member
Author
|
Hi, @gatorsmile . |
jaceklaskowski
approved these changes
Jan 4, 2017
Member
Author
|
Thank you for review, @jaceklaskowski . |
asfgit
pushed a commit
that referenced
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Jan 4, 2017
…lType should find a common type with `typeSoFar`
## What changes were proposed in this pull request?
CSV type inferencing causes `IllegalArgumentException` on decimal numbers with heterogeneous precisions and scales because the current logic uses the last decimal type in a **partition**. Specifically, `inferRowType`, the **seqOp** of **aggregate**, returns the last decimal type. This PR fixes it to use `findTightestCommonType`.
**decimal.csv**
```
9.03E+12
1.19E+11
```
**BEFORE**
```scala
scala> spark.read.format("csv").option("inferSchema", true).load("decimal.csv").printSchema
root
|-- _c0: decimal(3,-9) (nullable = true)
scala> spark.read.format("csv").option("inferSchema", true).load("decimal.csv").show
16/12/16 14:32:49 ERROR Executor: Exception in task 0.0 in stage 4.0 (TID 4)
java.lang.IllegalArgumentException: requirement failed: Decimal precision 4 exceeds max precision 3
```
**AFTER**
```scala
scala> spark.read.format("csv").option("inferSchema", true).load("decimal.csv").printSchema
root
|-- _c0: decimal(4,-9) (nullable = true)
scala> spark.read.format("csv").option("inferSchema", true).load("decimal.csv").show
+---------+
| _c0|
+---------+
|9.030E+12|
| 1.19E+11|
+---------+
```
## How was this patch tested?
Pass the newly add test case.
Author: Dongjoon Hyun <[email protected]>
Closes #16463 from dongjoon-hyun/SPARK-18877-BACKPORT-21.
Member
|
LGTM. Thanks, merging to 2.1! |
Member
|
Could you please close it and open one for branch 2.0? Thanks! |
Member
Author
|
Sure! Thank you, @gatorsmile . |
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What changes were proposed in this pull request?
CSV type inferencing causes
IllegalArgumentExceptionon decimal numbers with heterogeneous precisions and scales because the current logic uses the last decimal type in a partition. Specifically,inferRowType, the seqOp of aggregate, returns the last decimal type. This PR fixes it to usefindTightestCommonType.decimal.csv
BEFORE
AFTER
How was this patch tested?
Pass the newly add test case.