[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-09-06 Thread cloud-fan
Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/14809
  
thanks for the review, merging to master!


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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-09-06 Thread SparkQA
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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-09-06 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/14809
  
LGTM pending test


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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-09-06 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/14809
  
retest this please


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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-09-06 Thread cloud-fan
Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/14809
  
retest this please


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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-09-06 Thread cloud-fan
Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/14809
  
retest this please


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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-09-06 Thread SparkQA
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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-09-06 Thread SparkQA
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https://github.com/apache/spark/pull/14809
  
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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-08-25 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/14809
  
Yeah, that is a bug. We did not get an exception when we read it, but we 
can get the error when trying to write it. The error message is confusing
```
Can only write data to relations with a single path.;
org.apache.spark.sql.AnalysisException: Can only write data to relations 
with a single path.;
at 
org.apache.spark.sql.execution.datasources.DataSourceAnalysis$$anonfun$apply$1.applyOrElse(DataSourceStrategy.scala:167)
```


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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-08-25 Thread cloud-fan
Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/14809
  
ah i see, btw in your example when will we throw exception? when we read 
it? a file-based external table without path is invalid.


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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-08-25 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/14809
  
If we do not specify the schema, it will behave like what you said. For 
example,
```Scala
  sparkSession.catalog.createExternalTable(
"createdParquetTable",
"parquet",
Map.empty[String, String])
```
```
Unable to infer schema for ParquetFormat at . It must be specified manually;
org.apache.spark.sql.AnalysisException: Unable to infer schema for 
ParquetFormat at . It must be specified manually;
```

However, if we specify the schema, we will not get an error.


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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-08-25 Thread cloud-fan
Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/14809
  
@gatorsmile can you explain more about this example? I think we will throw 
exception in `CreateDataSourceTableCommand` when we create a `DataSource` and 
call its `resolveRelation`.


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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-08-25 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/14809
  
Condition 2 is not always true when condition 1 is `true`. I found an 
exception. 
```Scala
  val schema = StructType(StructField("b", StringType, true) :: Nil)
  sparkSession.catalog.createExternalTable(
"createdParquetTable",
"parquet",
schema,
Map.empty[String, String])
```

I think this is a bug. Do you want to fix it in this PR? Or I can fix it in 
another PR?


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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-08-25 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/14809
  
https://github.com/apache/spark/pull/13060 This change is based on another 
PR. If users specify the location in `CREATE TABLE`, we always set the table 
type to `EXTERNAL`. 


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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

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started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/64425/consoleFull)**
 for PR 14809 at commit 
[`915d2b5`](https://github.com/apache/spark/commit/915d2b5a1dd8c26a37d0b99ba0503a0d95b6f3f3).


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[GitHub] spark issue #14809: [SPARK-17238][SQL] simplify the logic for converting dat...

2016-08-25 Thread cloud-fan
Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/14809
  
cc @yhuai @gatorsmile @liancheng @clockfly 


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