It works perfectly. You can use pseudo columns like ROWNUM in Oracle and
RRN in DB2. To avoid skewing you can apply the great coalesce
function...Spark is sparkling..
Best,
On Thu, Dec 7, 2017 at 2:20 PM, Tomasz Dudek
wrote:
> Hey Ravion,
>
> yes, you can obviously specify other column than a
Hey Ravion,
yes, you can obviously specify other column than a primary key. Be aware
though, that if the key range is not spread evenly (for example in your
code, if there's a "gap" in primary keys and no row has id between 0 and
17220) some of the executors may not assist in loading data (because
Hi all,
I am using a query to fetch data from MYSQL as follows:
var df = spark.read.
format("jdbc").
option("url", "jdbc:mysql://10.0.0.192:3306/retail_db").
option("driver" ,"com.mysql.jdbc.Driver").
option("user", "retail_dba").
option("password", "cloudera").
option("dbtable", "orders").
optio
