CODEWITHSUNDEEP
pythonpyspark
barlow1
barlow1

Reputation: 721

PySpark Error When running SQL Query

Due to my lack of knowledge in writing code in pyspark / python, I have decided to write a query in spark.sql. I have written the query in two formats. The first format allows EOL breaks. However, in that format I get an error, see below:

results5 = spark.sql("SELECT\
  appl_stock.Open\
 ,appl_stock.Close\
FROM appl_stock\
WHERE appl_stock.Close < 500")

The above format produces the following error:

---------------------------------------------------------------------------
Py4JJavaError                             Traceback (most recent call last)
~/spark-2.1.0-bin-hadoop2.7/python/pyspark/sql/utils.py in deco(*a, **kw)
     62         try:
---> 63             return f(*a, **kw)
     64         except py4j.protocol.Py4JJavaError as e:

~/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
    318                     "An error occurred while calling {0}{1}{2}.\n".
--> 319                     format(target_id, ".", name), value)
    320             else:

Py4JJavaError: An error occurred while calling o19.sql.
: org.apache.spark.sql.catalyst.parser.ParseException: 
mismatched input '.' expecting {<EOF>, ',', 'FROM', 'WHERE', 'GROUP', 'ORDER', 'HAVING', 'LIMIT', 'LATERAL', 'WINDOW', 'UNION', 'EXCEPT', 'MINUS', 'INTERSECT', 'SORT', 'CLUSTER', 'DISTRIBUTE'}(line 1, pos 35)

== SQL ==
SELECT  appl_stock.Open  appl_stock.CloseFROM appl_stockWHERE appl_stock.Close < 500
-----------------------------------^^^

    at org.apache.spark.sql.catalyst.parser.ParseException.withCommand(ParseDriver.scala:197)
    at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parse(ParseDriver.scala:99)
    at org.apache.spark.sql.execution.SparkSqlParser.parse(SparkSqlParser.scala:45)
    at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parsePlan(ParseDriver.scala:53)
    at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:592)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:280)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:214)
    at java.lang.Thread.run(Thread.java:748)


During handling of the above exception, another exception occurred:

ParseException                            Traceback (most recent call last)
<ipython-input-38-4920f7e68c0e> in <module>()
----> 1 results5 = spark.sql("SELECT  appl_stock.Open  appl_stock.CloseFROM appl_stockWHERE appl_stock.Close < 500")

~/spark-2.1.0-bin-hadoop2.7/python/pyspark/sql/session.py in sql(self, sqlQuery)
    539         [Row(f1=1, f2=u'row1'), Row(f1=2, f2=u'row2'), Row(f1=3, f2=u'row3')]
    540         """
--> 541         return DataFrame(self._jsparkSession.sql(sqlQuery), self._wrapped)
    542 
    543     @since(2.0)

~/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py in __call__(self, *args)
   1131         answer = self.gateway_client.send_command(command)
   1132         return_value = get_return_value(
-> 1133             answer, self.gateway_client, self.target_id, self.name)
   1134 
   1135         for temp_arg in temp_args:

~/spark-2.1.0-bin-hadoop2.7/python/pyspark/sql/utils.py in deco(*a, **kw)
     71                 raise AnalysisException(s.split(': ', 1)[1], stackTrace)
     72             if s.startswith('org.apache.spark.sql.catalyst.parser.ParseException: '):
---> 73                 raise ParseException(s.split(': ', 1)[1], stackTrace)
     74             if s.startswith('org.apache.spark.sql.streaming.StreamingQueryException: '):
     75                 raise StreamingQueryException(s.split(': ', 1)[1], stackTrace)

ParseException: "\nmismatched input '.' expecting {<EOF>, ',', 'FROM', 'WHERE', 'GROUP', 'ORDER', 'HAVING', 'LIMIT', 'LATERAL', 'WINDOW', 'UNION', 'EXCEPT', 'MINUS', 'INTERSECT', 'SORT', 'CLUSTER', 'DISTRIBUTE'}(line 1, pos 35)\n\n== SQL ==\nSELECT  appl_stock.Open  appl_stock.CloseFROM appl_stockWHERE appl_stock.Close < 500\n-----------------------------------^^^\n"

Whereas the following code produces a successful result, see below:

results6 = spark.sql("SELECT appl_stock.Open ,appl_stock.Close FROM appl_stock WHERE appl_stock.Close < 500")

Can someone let me know why the first code doesn't work, but the second does?

Cheers

Upvotes: 11

Views: 67177

Answers (6)

Vojta F
Vojta F

Reputation: 564

Another surprising case: I was getting error of the same flavour, namely mismatched input 'from' expecting <EOF>. My query contained a parameter and I forgot to resolve it (please note the initial f is missing):

# failing query
my_qry = """
create table my_tab as 
select columns 
from source_tab
where somecolumn < {parameter}
"""
spark.sql(qry_defaults).collect()

So the solution was to resolve the parameters properly (mind the initial f):

# correct query
my_qry = f"""
create table my_tab as 
select columns 
from source_tab
where somecolumn < {parameter}
"""
spark.sql(qry_defaults).collect()

To summarise, in my case the error had nothing to do with the missing EOF. I hope someone finds this helpful.

Upvotes: 0

ijoseph
ijoseph

Reputation: 7163

Bizarrely, this was thrown for me if I terminated my SQL statement with ;. Simply removing that fixed it.

i.e. 

spark.sql("""
SELECT * FROM foo WHERE bar = 3;
""")

breaks. 

spark.sql("""
SELECT * FROM foo WHERE bar = 3
""")

does not.

Upvotes: 2

Jeevan
Jeevan

Reputation: 8772

Similar error messaged would be thrown incase extraneous characters like | are present in SQL query string.

Upvotes: 0

Pedro Madrid
Pedro Madrid

Reputation: 1977

In my case, I was getting the error mismatched input '*' expecting <EOF>. Then I realized I was using spark.table( instead of spark.sql(. I thought this might be useful for someone...

Upvotes: 2

pault
pault

Reputation: 43544

The error message explains exactly what's happening. There is no space before the FROM and WHERE keywords.

For example, if you had the following DataFrame:

df = spark.createDataFrame([(490, 495), (499, 505), (510, 499)], ["Open", "Close"])
df.show()
#+----+-----+
#|Open|Close|
#+----+-----+
#| 490|  495|
#| 499|  505|
#| 510|  499|
#+----+-----+

df.createOrReplaceTempView("appl_stock")

If you changed your code to add a space before each \:

results5 = spark.sql("SELECT \
  appl_stock.Open \
 ,appl_stock.Close \
FROM appl_stock \
WHERE appl_stock.Close < 500")

result5.show()
#+----+-----+
#|Open|Close|
#+----+-----+
#| 490|  495|
#| 510|  499|
#+----+-----+

Upvotes: 0

Scratch&#39;N&#39;Purr
Scratch&#39;N&#39;Purr

Reputation: 10437

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""")

Upvotes: 7

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