| # |
| # 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 pyspark.sql import SparkSession |
| |
| spark = SparkSession\ |
| .builder\ |
| .appName("Cloudant Spark SQL Example in Python using temp tables")\ |
| .config("cloudant.host","ACCOUNT.cloudant.com")\ |
| .config("cloudant.username", "USERNAME")\ |
| .config("cloudant.password","PASSWORD")\ |
| .getOrCreate() |
| |
| |
| # ***1. Loading temp table from Cloudant db |
| spark.sql(" CREATE TEMPORARY TABLE airportTable USING org.apache.bahir.cloudant OPTIONS ( database 'n_airportcodemapping')") |
| airportData = spark.sql("SELECT _id, airportName FROM airportTable WHERE _id >= 'CAA' AND _id <= 'GAA' ORDER BY _id") |
| airportData.printSchema() |
| print ('Total # of rows in airportData: ' + str(airportData.count())) |
| for code in airportData.collect(): |
| print (code._id) |
| |
| |
| # ***2. Loading temp table from Cloudant search index |
| print ('About to test org.apache.bahir.cloudant for flight with index') |
| spark.sql(" CREATE TEMPORARY TABLE flightTable1 USING org.apache.bahir.cloudant OPTIONS ( database 'n_flight', index '_design/view/_search/n_flights')") |
| flightData = spark.sql("SELECT flightSegmentId, scheduledDepartureTime FROM flightTable1 WHERE flightSegmentId >'AA9' AND flightSegmentId<'AA95'") |
| flightData.printSchema() |
| for code in flightData.collect(): |
| print ('Flight {0} on {1}'.format(code.flightSegmentId, code.scheduledDepartureTime)) |
| |