Revision b8b80f6dea86d4e4a648b86e38936d3a82ffc0aa authored by Wenchen Fan on 20 June 2017, 16:15:33 UTC, committed by gatorsmile on 20 June 2017, 16:15:41 UTC
## What changes were proposed in this pull request? This is a regression in Spark 2.2. In Spark 2.2, we introduced a new way to resolve persisted view: https://issues.apache.org/jira/browse/SPARK-18209 , but this makes the persisted view non case-preserving because we store the schema in hive metastore directly. We should follow data source table and store schema in table properties. ## How was this patch tested? new regression test Author: Wenchen Fan <wenchen@databricks.com> Closes #18360 from cloud-fan/view. (cherry picked from commit e862dc904963cf7832bafc1d3d0ea9090bbddd81) Signed-off-by: gatorsmile <gatorsmile@gmail.com>
1 parent 514a7e6
pip-sanity-check.py
#
# 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.
#
from __future__ import print_function
from pyspark.sql import SparkSession
from pyspark.ml.param import Params
from pyspark.mllib.linalg import *
import sys
if __name__ == "__main__":
spark = SparkSession\
.builder\
.appName("PipSanityCheck")\
.getOrCreate()
sc = spark.sparkContext
rdd = sc.parallelize(range(100), 10)
value = rdd.reduce(lambda x, y: x + y)
if (value != 4950):
print("Value {0} did not match expected value.".format(value), file=sys.stderr)
sys.exit(-1)
print("Successfully ran pip sanity check")
spark.stop()
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