Я новичок в PySpark и AWS Sagemaker, использующих ноутбук Jupyter.Я знаю, как писать операторы SQL для ответа на мои вопросы.Предполагается, что этот фрагмент кода: 1. Извлеките доступные методы распоряжения о смерти в моем наборе данных (CDC Death Data -в CSV) к году 2. Подсчитайте частоту каждого распоряжения по году
Я смог запуститьОператор SQL для того же набора данных в базе данных MySQL.Но как только я добавил запрос в свой код PySpark, я получил ParseError Пожалуйста, смотрите ошибку ниже.
Как бы я решил эту ошибку?и если я хочу создать график / график с выводом, как бы я это сделал?СПАСИБО
df.registerTempTable("data")
methods = sqlContext.sql("\
SELECT current_data_year AS Year, \
CASE method_of_disposition \
WHEN 'C' THEN 'Cremation' \
WHEN 'B' THEN 'Burial' \
WHEN 'D' THEN 'D' \
WHEN 'E' THEN 'E' \
WHEN 'O' THEN 'O' \
WHEN 'R' THEN 'R' \
WHEN 'U' THEN 'Unknown' \
END AS 'Method of Disposition', \
COUNT(method_of_disposition) AS Count \
FROM data \
GROUP BY current_data_year, method_of_disposition\
").show()
МОЙ НОВЫЙ ВЫХОД
+----+-------------------+-------+
|Year|MethodofDisposition| Count|
+----+-------------------+-------+
| 0| null| 10|
|2005| Other| 2199|
|2005| Donation| 4795|
|2005| E| 21247|
|2005| RemovedFromUSA| 31954|
|2005| Cremation| 350018|
|2005| Burial| 553202|
|2005| Unknown|1489091|
|2006| Other| 2252|
|2006| Donation| 6883|
|2006| E| 23412|
|2006| RemovedFromUSA| 40870|
|2006| Cremation| 423282|
|2006| Burial| 667169|
|2006| Unknown|1266857|
|2007| Other| 3119|
|2007| Donation| 8719|
|2007| E| 26139|
|2007| RemovedFromUSA| 41411|
|2007| Cremation| 472220|
|2007| Burial| 725666|
|2007| Unknown|1151069|
|2008| Other| 5511|
|2008| Donation| 10981|
|2008| E| 31913|
|2008| RemovedFromUSA| 44713|
|2008| Cremation| 579827|
|2008| Burial| 866384|
|2008| Unknown| 937482|
|2009| Other| 3688|
|2009| Donation| 12011|
|2009| E| 30344|
|2009| RemovedFromUSA| 45451|
|2009| Cremation| 599202|
|2009| Burial| 802305|
|2009| Unknown| 948218|
|2010| Other| 3782|
|2010| Donation| 15208|
|2010| E| 32807|
|2010| RemovedFromUSA| 47899|
|2010| Cremation| 706224|
|2010| Unknown| 760192|
|2010| Burial| 906430|
|2011| Other| 5169|
|2011| Donation| 17450|
|2011| E| 33847|
|2011| RemovedFromUSA| 47199|
|2011| Unknown| 685325|
|2011| Cremation| 780480|
|2011| Burial| 950372|
|2012| Other| 6649|
|2012| Donation| 20790|
|2012| E| 35110|
|2012| RemovedFromUSA| 52896|
|2012| Unknown| 440569|
|2012| Cremation| 898222|
|2012| Burial|1093628|
|2013| Other| 6962|
|2013| Donation| 21653|
|2013| E| 36949|
|2013| RemovedFromUSA| 53678|
|2013| Unknown| 395080|
|2013| Cremation| 973768|
|2013| Burial|1113362|
|2014| Other| 7871|
|2014| Donation| 24004|
|2014| E| 39321|
|2014| RemovedFromUSA| 59884|
|2014| Unknown| 242963|
|2014| Cremation|1094292|
|2014| Burial|1162836|
|2015| Other| 11729|
|2015| Donation| 27870|
|2015| E| 40880|
|2015| RemovedFromUSA| 71744|
|2015| Unknown| 74050|
|2015| Cremation|1244297|
|2015| Burial|1247628|
+----+-------------------+-------+
СООБЩЕНИЕ ОБ ОШИБКЕ
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
~/anaconda3/envs/python3/lib/python3.6/site-packages/pyspark/sql/utils.py in deco(*a, **kw)
62 try:
---> 63 return f(*a, **kw)
64 except py4j.protocol.Py4JJavaError as e:
~/anaconda3/envs/python3/lib/python3.6/site-packages/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:
extraneous input ''Method of Disposition'' expecting {<EOF>, ',', 'FROM', 'WHERE', 'GROUP', 'ORDER', 'HAVING', 'LIMIT', 'LATERAL', 'WINDOW', 'UNION', 'EXCEPT', 'MINUS', 'INTERSECT', 'SORT', 'CLUSTER', 'DISTRIBUTE'}(line 1, pos 213)
== SQL ==
SELECT current_data_year AS Year, CASE method_of_disposition WHEN 'C' THEN 'Cremation' WHEN 'B' THEN 'Burial' WHEN 'D' THEN 'D' WHEN 'E' THEN 'E' WHEN 'O' THEN 'O' WHEN 'R' THEN 'R' WHEN 'U' THEN 'Unknown' END AS 'Method of Disposition', COUNT(method_of_disposition) AS Count FROM data GROUP BY current_data_year, method_of_disposition
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------^^^
at org.apache.spark.sql.catalyst.parser.ParseException.withCommand(ParseDriver.scala:217)
at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parse(ParseDriver.scala:114)
at org.apache.spark.sql.execution.SparkSqlParser.parse(SparkSqlParser.scala:48)
at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parsePlan(ParseDriver.scala:68)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:632)
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:745)
During handling of the above exception, another exception occurred:
ParseException Traceback (most recent call last)
<ipython-input-7-f99c8a5b941c> in <module>()
1 #Grouping and counting Cremation vs Burial by Year
2 df.registerTempTable("data")
----> 3 sqlContext.sql("SELECT current_data_year AS Year, CASE method_of_disposition WHEN 'C' THEN 'Cremation' WHEN 'B' THEN 'Burial' WHEN 'D' THEN 'D' WHEN 'E' THEN 'E' WHEN 'O' THEN 'O' WHEN 'R' THEN 'R' WHEN 'U' THEN 'Unknown' END AS 'Method of Disposition', COUNT(method_of_disposition) AS Count FROM data GROUP BY current_data_year, method_of_disposition").show()
~/anaconda3/envs/python3/lib/python3.6/site-packages/pyspark/sql/context.py in sql(self, sqlQuery)
382 [Row(f1=1, f2=u'row1'), Row(f1=2, f2=u'row2'), Row(f1=3, f2=u'row3')]
383 """
--> 384 return self.sparkSession.sql(sqlQuery)
385
386 @since(1.0)
~/anaconda3/envs/python3/lib/python3.6/site-packages/pyspark/sql/session.py in sql(self, sqlQuery)
601 [Row(f1=1, f2=u'row1'), Row(f1=2, f2=u'row2'), Row(f1=3, f2=u'row3')]
602 """
--> 603 return DataFrame(self._jsparkSession.sql(sqlQuery), self._wrapped)
604
605 @since(2.0)
~/anaconda3/envs/python3/lib/python3.6/site-packages/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:
~/anaconda3/envs/python3/lib/python3.6/site-packages/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: "\nextraneous input ''Method of Disposition'' expecting {<EOF>, ',', 'FROM', 'WHERE', 'GROUP', 'ORDER', 'HAVING', 'LIMIT', 'LATERAL', 'WINDOW', 'UNION', 'EXCEPT', 'MINUS', 'INTERSECT', 'SORT', 'CLUSTER', 'DISTRIBUTE'}(line 1, pos 213)\n\n== SQL ==\nSELECT current_data_year AS Year, CASE method_of_disposition WHEN 'C' THEN 'Cremation' WHEN 'B' THEN 'Burial' WHEN 'D' THEN 'D' WHEN 'E' THEN 'E' WHEN 'O' THEN 'O' WHEN 'R' THEN 'R' WHEN 'U' THEN 'Unknown' END AS 'Method of Disposition', COUNT(method_of_disposition) AS Count FROM data GROUP BY current_data_year, method_of_disposition\n---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------^^^\n"
Пример ВЫХОДА MYSQL 