Github user davies commented on a diff in the pull request: https://github.com/apache/spark/pull/1351#discussion_r17200139 --- Diff: python/pyspark/sql.py --- @@ -187,6 +187,56 @@ def func(split, iterator): jschema_rdd = self._ssql_ctx.jsonRDD(jrdd.rdd()) return SchemaRDD(jschema_rdd, self) + def csvFile(self, path, delimiter = ",", quote = "\"", header = False): + """ + Loads a CSV file (according to RFC 4180) and returns the result as a L{SchemaRDD}. + header flag specified if first line of each file should be treated as header. + + NOTE: If there are new line characters inside quoted fields this method may fail to + parse correctly, because the two lines may be in different partitions. Use + L{SQLContext#csvRDD} to parse such files. + + >>> import tempfile, shutil + >>> csvFile = tempfile.mkdtemp() + >>> shutil.rmtree(csvFile) + >>> ofn = open(csvFile, 'w') + >>> for csvStr in csvStrings: + ... print>>ofn, csvStr + >>> ofn.close() + >>> csv = sqlCtx.csvFile(csvFile, delimiter = ", ", header = True) + >>> sqlCtx.registerRDDAsTable(csv, "csvTable") + >>> csvRes = sqlCtx.sql("SELECT Year FROM csvTable WHERE Make = 'Ford'") + >>> csvRes.collect() + [{u'Year': u'1997'}] + """ + jschema_rdd = self._ssql_ctx.csvFile(path, delimiter, quote, header) + return SchemaRDD(jschema_rdd, self) + + def csvRDD(self, rdd, delimiter = ",", quote = "\"", header = False): + """ + Parses an RDD of String as a CSV (according to RFC 4180) and returns the result as a + L{SchemaRDD}. + + NOTE: If there are new line characters inside quoted fields, use wholeTextFile to + read each file into a single partition. --- End diff -- PS: wholeTextFile() will read a file as single string, may it's not what you want.
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