89addd40ab
## What changes were proposed in this pull request?
```
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version 2.0.0-SNAPSHOT
/_/
Using Python version 2.7.5 (default, Mar 9 2014 22:15:05)
SparkSession available as 'spark'.
>>> spark
<pyspark.sql.session.SparkSession object at 0x101f3bfd0>
>>> spark.sql("SHOW TABLES").show()
...
+---------+-----------+
|tableName|isTemporary|
+---------+-----------+
| src| false|
+---------+-----------+
>>> spark.range(1, 10, 2).show()
+---+
| id|
+---+
| 1|
| 3|
| 5|
| 7|
| 9|
+---+
```
**Note**: This API is NOT complete in its current state. In particular, for now I left out the `conf` and `catalog` APIs, which were added later in Scala. These will be added later before 2.0.
## How was this patch tested?
Python tests.
Author: Andrew Or <andrew@databricks.com>
Closes #12746 from andrewor14/python-spark-session.
74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
#
|
|
# Licensed to the Apache Software Foundation (ASF) under one or more
|
|
# contributor license agreements. See the NOTICE file distributed with
|
|
# this work for additional information regarding copyright ownership.
|
|
# The ASF licenses this file to You under the Apache License, Version 2.0
|
|
# (the "License"); you may not use this file except in compliance with
|
|
# the License. You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
#
|
|
|
|
"""
|
|
An interactive shell.
|
|
|
|
This file is designed to be launched as a PYTHONSTARTUP script.
|
|
"""
|
|
|
|
import atexit
|
|
import os
|
|
import platform
|
|
|
|
import py4j
|
|
|
|
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
|
|
/_/
|
|
""" % sc.version)
|
|
print("Using Python version %s (%s, %s)" % (
|
|
platform.python_version(),
|
|
platform.python_build()[0],
|
|
platform.python_build()[1]))
|
|
print("SparkSession available as 'spark'.")
|
|
|
|
# The ./bin/pyspark script stores the old PYTHONSTARTUP value in OLD_PYTHONSTARTUP,
|
|
# which allows us to execute the user's PYTHONSTARTUP file:
|
|
_pythonstartup = os.environ.get('OLD_PYTHONSTARTUP')
|
|
if _pythonstartup and os.path.isfile(_pythonstartup):
|
|
with open(_pythonstartup) as f:
|
|
code = compile(f.read(), _pythonstartup, 'exec')
|
|
exec(code)
|