Running Apache Spark jobs on Cloud Dataproc Reviews

Venkatesh P. · Reviewed 9 months ago

Jose J. · Reviewed 9 months ago

Niraj S. · Reviewed 9 months ago

Riyaz-Basha S. · Reviewed 9 months ago

Dominik P. · Reviewed 9 months ago

David G. · Reviewed 9 months ago

Gene X. · Reviewed 9 months ago

SUMAN S. · Reviewed 9 months ago

good

SURYA R. · Reviewed 9 months ago

Claudio S. · Reviewed 9 months ago

Kuldeep B. · Reviewed 9 months ago

Roman H. · Reviewed 9 months ago

Could not open jupyter lab maybe because I am in europe

Laure P. · Reviewed 9 months ago

Tyree F. · Reviewed 9 months ago

Oren F. · Reviewed 9 months ago

Shankar P. · Reviewed 9 months ago

Manikandan M. · Reviewed 9 months ago

Prayoga S. · Reviewed 9 months ago

Srikanta P. · Reviewed 9 months ago

The project has been done

GIRIBABU M. · Reviewed 9 months ago

敬源 黃. · Reviewed 9 months ago

Latif I. · Reviewed 9 months ago

Jeferson Camilo S. · Reviewed 9 months ago

Jinou Y. · Reviewed 9 months ago

Unable to finish lab due to error Modified INPUT for LAB from pyspark.sql import SparkSession, SQLContext, Row gcs_bucket='[qwiklabs-gcp-01-31c23a3b2c2f]' spark = SparkSession.builder.appName("kdd").getOrCreate() sc = spark.sparkContext data_file = "gs://"+gcs_bucket+"//kddcup.data_10_percent.gz" raw_rdd = sc.textFile(data_file).cache() raw_rdd.take(5) OUTPUT: Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). 24/11/18 23:53:00 INFO SparkEnv: Registering MapOutputTracker 24/11/18 23:53:00 INFO SparkEnv: Registering BlockManagerMaster 24/11/18 23:53:00 INFO SparkEnv: Registering BlockManagerMasterHeartbeat 24/11/18 23:53:00 INFO SparkEnv: Registering OutputCommitCoordinator --------------------------------------------------------------------------- IllegalArgumentException Traceback (most recent call last) /tmp/ipykernel_13667/2491634418.py in <cell line: 8>() 6 data_file = "gs://"+gcs_bucket+"//kddcup.data_10_percent.gz" 7 raw_rdd = sc.textFile(data_file).cache() ----> 8 raw_rdd.take(5) /usr/lib/spark/python/pyspark/rdd.py in take(self, num) 1848 """ 1849 items: List[T] = [] -> 1850 totalParts = self.getNumPartitions() 1851 partsScanned = 0 1852 /usr/lib/spark/python/pyspark/rdd.py in getNumPartitions(self) 597 2 598 """ --> 599 return self._jrdd.partitions().size() 600 601 def filter(self: "RDD[T]", f: Callable[[T], bool]) -> "RDD[T]": /opt/conda/miniconda3/lib/python3.10/site-packages/py4j/java_gateway.py in __call__(self, *args) 1319 1320 answer = self.gateway_client.send_command(command) -> 1321 return_value = get_return_value( 1322 answer, self.gateway_client, self.target_id, self.name) 1323 /usr/lib/spark/python/pyspark/sql/utils.py in deco(*a, **kw) 194 # Hide where the exception came from that shows a non-Pythonic 195 # JVM exception message. --> 196 raise converted from None 197 else: 198 raise IllegalArgumentException: java.net.URISyntaxException: Malformed IPv6 address at index 6: gs://[qwiklabs-gcp-01-31c23a3b2c2f]/kddcup.data_10_percent.gz

Richard S. · Reviewed 9 months ago