Spark Error : java.lang.RuntimeException: [5.52] failure: ``union'' expected but `('
There is a missing coma after « timestamp_hour ».
SELECT
product,
timestamp_hour,<— HERE
sum(case when action = 'purchase' then 1 else 0 end) as purchase_count,
Also you should remove all « | » characters from you query
PySpark Error When running SQL Query
Because you are using \
in the first one and that's being passed as odd syntax to spark. If you want to write multi-line SQL statements, use triple quotes:
results5 = spark.sql("""SELECT
appl_stock.Open
,appl_stock.Close
FROM appl_stock
WHERE appl_stock.Close < 500""")
Apache Zeppelin with Java error: ';' expected but 'class' found
I suspect does Zeppelin support Spark JAVA API?
It does not. You can fin a full list of avialable interpreters on the Zeppelin website (https://zeppelin.apache.org/docs/latest/manual/interpreters.html) and there is no Java interpreter there.
Spark - error when selecting a column from a struct in a nested array
Since you have no problem with the element_at() function, I supposed you are using the spark 2.4+, then you can try Spark SQL built-in functions: transform [1][2] + flatten:
>>> mydf1.selectExpr('flatten(transform(home.array_a.array_b, x -> x.a)) as array_field_inside_array').show()
+------------------------+
|array_field_inside_array|
+------------------------+
| [1, 3]|
+------------------------+
Where we use transform() function to retrieve only the values of field a
of each array element of home.array_a.array_b
and transform them to the array [[1], [3]]
. then flatten that array into [1, 3]
. If you need the result to be [[1, 3]]
, then just add array() function
array(flatten(transform(home.array_a.array_b, x -> x.a)))
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