def _test():
import doctest
import os
import tempfile
import py4j
from pyspark.context import SparkContext
from pyspark.sql import SparkSession, Row
import pyspark.sql.readwriter
os.chdir(os.environ["SPARK_HOME"])
globs = pyspark.sql.readwriter.__dict__.copy()
sc = SparkContext('local[4]', 'PythonTest')
try:
spark = SparkSession.withHiveSupport(sc)
except py4j.protocol.Py4JError:
spark = SparkSession(sc)
globs['tempfile'] = tempfile
globs['os'] = os
globs['sc'] = sc
globs['spark'] = spark
globs['df'] = spark.read.parquet('python/test_support/sql/parquet_partitioned')
globs['sdf'] = \
spark.read.format('text').stream('python/test_support/sql/streaming')
(failure_count, test_count) = doctest.testmod(
pyspark.sql.readwriter, globs=globs,
optionflags=doctest.ELLIPSIS | doctest.NORMALIZE_WHITESPACE | doctest.REPORT_NDIFF)
sc.stop()
if failure_count:
exit(-1)
import pyspark
from pyspark.context import SparkContext
from pyspark.sql import SparkSession, SQLContext
from pyspark.storagelevel import StorageLevel
if os.environ.get("SPARK_EXECUTOR_URI"):
SparkContext.setSystemProperty("spark.executor.uri",
os.environ["SPARK_EXECUTOR_URI"])
sc = SparkContext()
atexit.register(lambda: sc.stop())
try:
# Try to access HiveConf, it will raise exception if Hive is not added
sc._jvm.org.apache.hadoop.hive.conf.HiveConf()
spark = SparkSession.withHiveSupport(sc)
except py4j.protocol.Py4JError:
spark = SparkSession(sc)
except TypeError:
spark = SparkSession(sc)
# for compatibility
sqlContext = spark._wrapped
sqlCtx = sqlContext
print("""Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version %s
/_/
import pyspark
from pyspark.context import SparkContext
from pyspark.sql import SparkSession, SQLContext
from pyspark.storagelevel import StorageLevel
if os.environ.get("SPARK_EXECUTOR_URI"):
SparkContext.setSystemProperty("spark.executor.uri", os.environ["SPARK_EXECUTOR_URI"])
sc = SparkContext()
atexit.register(lambda: sc.stop())
try:
# Try to access HiveConf, it will raise exception if Hive is not added
sc._jvm.org.apache.hadoop.hive.conf.HiveConf()
spark = SparkSession.withHiveSupport(sc)
except py4j.protocol.Py4JError:
spark = SparkSession(sc)
except TypeError:
spark = SparkSession(sc)
# for compatibility
sqlContext = spark._wrapped
sqlCtx = sqlContext
print("""Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version %s
/_/
