[Spark][Python][DataFrame][SQL]Spark对DataFrame直接执行SQL处理的例子
$cat people.json
{"name":"Alice","pcode":"94304"}
{"name":"Brayden","age":30,"pcode":"94304"}
{"name":"Carla","age":19,"pcoe":"10036"}
{"name":"Diana","age":46}
{"name":"Etienne","pcode":"94104"}
$ hdfs dfs -put people.json
$pyspark
sqlContext = HiveContext(sc)
peopleDF = sqlContext.read.json("people.json")
peopleDF.registerTempTable("people")
tmpDF=sqlContext.sql(""" select * FROM people WHERE name like "A%" """)
tmpDF.limit(3).show()
+----+-----+-----+----+
| age| name|pcode|pcoe|
+----+-----+-----+----+
|null|Alice|94304|null|
+----+-----+-----+----+
