Anybody reply on this ?
On Tue, Nov 21, 2017 at 3:36 PM, Chetan Khatri
wrote:
>
> Hello Spark Users,
>
> I am getting below error, when i am trying to write dataset to parquet
> location. I have enough disk space available. Last time i was facing same
> kind of error which were resolved by incre
The error message seems self-explanatory, try to figure out what's the disk
quota you have for your user.
On Wed, Nov 22, 2017 at 8:23 AM, Chetan Khatri
wrote:
> Anybody reply on this ?
>
> On Tue, Nov 21, 2017 at 3:36 PM, Chetan Khatri <
> chetan.opensou...@gmail.com> wrote:
>
>>
>> Hello Spark
The roadmaps for prior releases e.g. 1.6 2.0 2.1 2.2 were available:
2.2.0 https://issues.apache.org/jira/browse/SPARK-18813
2.1.0 https://issues.apache.org/jira/browse/SPARK-15581
..
It seems those roadmaps were not available per se' for 2.3.0 and later? Is
there a different mechanism for that
Hi,
when I use Dataframe with table schema, It goes wrong:
val test_schema = StructType(Array(
StructField("id", IntegerType, false),
StructField("flag", CharType(1), false),
StructField("time", DateType, false)));
val df = spark.read.format("com.databricks.spark.csv")
.schema(test_s
