Thanks Sean! That was a simple fix. I changed it to "Create or Replace
Table" but now I am getting the following error. I am still researching
solutions but so far no luck.
ParseException:
mismatched input '' expecting {'ADD', 'AFTER', 'ALL', 'ALTER',
'ANALYZE', 'AND', 'ANTI', 'ANY', 'ARCHIVE',
Pretty much what it says? you are creating a table over a path that already
has data in it. You can't do that without mode=overwrite at least, if
that's what you intend.
On Mon, Aug 1, 2022 at 7:29 PM Kumba Janga wrote:
>
>
>- Component: Spark Delta, Spark SQL
>- Level: Beginner
>-
- Component: Spark Delta, Spark SQL
- Level: Beginner
- Scenario: Debug, How-to
*Python in Jupyter:*
import pyspark
import pyspark.sql.functions
from pyspark.sql import SparkSession
spark = (
SparkSession
.builder
.appName("programming")
.master("local")
Hm, I think the problem is either that you need to build the
spark-ganglia-lgpl module in your Spark distro, or the pomOnly() part of
your build. You need the code in your app.
Yes you need openblas too.
On Mon, Aug 1, 2022 at 7:36 AM 陈刚 wrote:
> Dear export,
>
>
> I'm using spark-3.1.1 mllib,
Dear export,
I'm using spark-3.1.1 mllib, and I got this on CentOS 7.6:
22/08/01 09:42:34 WARN netlib.BLAS: Failed to load implementation from:
com.github.fommil.netlib.NativeSystemBLAS
22/08/01 09:42:34 WARN netlib.BLAS: Failed to load implementation from:
* streaming handler is still useful for spark, though there is flink as
alternative
* RDD is also useful for transform especially for non-structure data
* there are many SQL products in market like Drill/Impala, but spark is
more powerful for distributed deployment as far as I know
* we never
Hi,
my comments were for purposes of SQL, also most of other technologies like
snowflake, and Redshift, and using KSQL directly to other sinks quite
easily, without massive engineering, infact databricks is trying to play a
catchup game in this market by coming out with GIU based ETL tools :)
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