def create(self, master="local[*]", app_name="optimus"):
"""
:param master: Sets the Spark master URL to connect to, such as 'local' to run locally, 'local[4]' to run
locally with 4 cores, or spark://master:7077 to run on a Spark standalone cluster.
:param app_name: Sets a name for the application, which will be shown in the Spark web UI
"""
logger.print(JUST_CHECKING)
logger.print("-----")
check_env_vars([
"SPARK_HOME", "HADOOP_HOME", "PYSPARK_PYTHON",
"PYSPARK_DRIVER_PYTHON", "PYSPARK_SUBMIT_ARGS", "JAVA_HOME"
])
if is_pyarrow_installed() is True:
logger.print("Pyarrow Installed")
else:
logger.print(
"Pyarrow not installed. Pandas UDF not available. Install using 'pip install pyarrow'"
)
logger.print("-----")
logger.print(STARTING_SPARK)
# Build the spark session
self._spark = SparkSession.builder \
.appName(app_name) \
.master(master) \
.getOrCreate()
self._sc = self._spark.sparkContext
logger.print("Spark Version:" + self._sc.version)
return self
def __init__(self, master="local[*]", app_name="optimus"):
"""
:param master: Sets the Spark master URL to connect to, such as “local” to run locally, “local[4]” to run
locally with 4 cores, or “spark://master:7077” to run on a Spark standalone cluster.
:param app_name: Sets a name for the application, which will be shown in the Spark web UI
"""
self.master = master
self.app_name = app_name
logging.info(JUST_CHECKING)
logging.info("-----")
check_env_vars([
"SPARK_HOME", "HADOOP_HOME", "PYSPARK_PYTHON",
"PYSPARK_DRIVER_PYTHON", "JAVA_HOME"
])
if is_pyarrow_installed() is True:
logging.info("Pyarrow Installed")
else:
logging.info(
"Pyarrow not installed. Pandas UDF not available. Install using 'pip install pyarrow'"
)
logging.info("-----")
logging.info(STARTING_SPARK)
# Build the spark session
self._spark = (SparkSession.builder.master(self.master).appName(
self.app_name).getOrCreate())
def __init__(self, master="local[*]", app_name="optimus"):
"""
:param master: Sets the Spark master URL to connect to, such as 'local' to run locally, 'local[4]' to run
locally with 4 cores, or spark://master:7077 to run on a Spark standalone cluster.
:param app_name: Sets a name for the application, which will be shown in the Spark web UI
"""
self.master = master
self.app_name = app_name
logger.info(message=JUST_CHECKING)
logger.info("-----")
check_env_vars(["SPARK_HOME", "HADOOP_HOME", "PYSPARK_PYTHON", "PYSPARK_DRIVER_PYTHON", "PYSPARK_SUBMIT_ARGS",
"JAVA_HOME"])
if is_pyarrow_installed() is True:
logger.info("Pyarrow Installed")
else:
logger.info(
"Pyarrow not installed. Pandas UDF not available. Install using 'pip install pyarrow'")
logger.info("-----")
logger.info(STARTING_SPARK)
# Build the spark session
self._spark = SparkSession.builder \
.master(master) \
.config("spark.executor.heartbeatInterval", "110") \
.appName(app_name) \
.getOrCreate()
# .option("driver", "org.postgresql.Driver")
self._sc = self._spark.sparkContext
