forked from apache/spark
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Add examples for reading HBase and Cassandra InputFormats from Python
- Loading branch information
Showing
4 changed files
with
177 additions
and
1 deletion.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,79 @@ | ||
# | ||
# 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. | ||
# | ||
|
||
import sys | ||
|
||
from pyspark import SparkContext | ||
|
||
""" | ||
Create data in Cassandra fist | ||
(following: https://wiki.apache.org/cassandra/GettingStarted) | ||
cqlsh> CREATE KEYSPACE test | ||
... WITH REPLICATION = { 'class' : 'SimpleStrategy', 'replication_factor' : 1 }; | ||
cqlsh> use test; | ||
cqlsh:test> CREATE TABLE users ( | ||
... user_id int PRIMARY KEY, | ||
... fname text, | ||
... lname text | ||
... ); | ||
cqlsh:test> INSERT INTO users (user_id, fname, lname) | ||
... VALUES (1745, 'john', 'smith'); | ||
cqlsh:test> INSERT INTO users (user_id, fname, lname) | ||
... VALUES (1744, 'john', 'doe'); | ||
cqlsh:test> INSERT INTO users (user_id, fname, lname) | ||
... VALUES (1746, 'john', 'smith'); | ||
cqlsh:test> SELECT * FROM users; | ||
user_id | fname | lname | ||
---------+-------+------- | ||
1745 | john | smith | ||
1744 | john | doe | ||
1746 | john | smith | ||
""" | ||
if __name__ == "__main__": | ||
if len(sys.argv) != 4: | ||
print >> sys.stderr, """ | ||
Usage: cassandra_inputformat <host> <keyspace> <cf> | ||
Run with example jar: | ||
./bin/spark-submit --driver-class-path /path/to/example/jar /path/to/examples/cassandra_inputformat.py <host> <keyspace> <cf> | ||
Assumes you have some data in Cassandra already, running on <host>, in <keyspace> and <cf> | ||
""" | ||
exit(-1) | ||
|
||
host = sys.argv[1] | ||
keyspace = sys.argv[2] | ||
cf = sys.argv[3] | ||
sc = SparkContext(appName="HBaseInputFormat") | ||
|
||
conf = {"cassandra.input.thrift.address":host, | ||
"cassandra.input.thrift.port":"9160", | ||
"cassandra.input.keyspace":keyspace, | ||
"cassandra.input.columnfamily":cf, | ||
"cassandra.input.partitioner.class":"Murmur3Partitioner", | ||
"cassandra.input.page.row.size":"3"} | ||
cass_rdd = sc.newAPIHadoopRDD( | ||
"org.apache.cassandra.hadoop.cql3.CqlPagingInputFormat", | ||
"java.util.Map", | ||
"java.util.Map", | ||
keyConverter="org.apache.spark.examples.CassandraCQLKeyConverter", | ||
valueConverter="org.apache.spark.examples.CassandraCQLValueConverter", | ||
conf=conf) | ||
output = cass_rdd.collect() | ||
for (k, v) in output: | ||
print (k, v) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,71 @@ | ||
# | ||
# 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. | ||
# | ||
|
||
import sys | ||
|
||
from pyspark import SparkContext | ||
|
||
""" | ||
Create test data in HBase first: | ||
hbase(main):016:0> create 'test', 'f1' | ||
0 row(s) in 1.0430 seconds | ||
hbase(main):017:0> put 'test', 'row1', 'f1', 'value1' | ||
0 row(s) in 0.0130 seconds | ||
hbase(main):018:0> put 'test', 'row2', 'f1', 'value2' | ||
0 row(s) in 0.0030 seconds | ||
hbase(main):019:0> put 'test', 'row3', 'f1', 'value3' | ||
0 row(s) in 0.0050 seconds | ||
hbase(main):020:0> put 'test', 'row4', 'f1', 'value4' | ||
0 row(s) in 0.0110 seconds | ||
hbase(main):021:0> scan 'test' | ||
ROW COLUMN+CELL | ||
row1 column=f1:, timestamp=1401883411986, value=value1 | ||
row2 column=f1:, timestamp=1401883415212, value=value2 | ||
row3 column=f1:, timestamp=1401883417858, value=value3 | ||
row4 column=f1:, timestamp=1401883420805, value=value4 | ||
4 row(s) in 0.0240 seconds | ||
""" | ||
if __name__ == "__main__": | ||
if len(sys.argv) != 3: | ||
print >> sys.stderr, """ | ||
Usage: hbase_inputformat <host> <table> | ||
Run with example jar: | ||
./bin/spark-submit --driver-class-path /path/to/example/jar /path/to/examples/hbase_inputformat.py <host> <table> | ||
Assumes you have some data in HBase already, running on <host>, in <table> | ||
""" | ||
exit(-1) | ||
|
||
host = sys.argv[1] | ||
table = sys.argv[2] | ||
sc = SparkContext(appName="HBaseInputFormat") | ||
|
||
conf = {"hbase.zookeeper.quorum": host, "hbase.mapreduce.inputtable": table} | ||
hbase_rdd = sc.newAPIHadoopRDD("org.apache.hadoop.hbase.mapreduce.TableInputFormat", | ||
"org.apache.hadoop.hbase.io.ImmutableBytesWritable", | ||
"org.apache.hadoop.hbase.client.Result", | ||
valueConverter="org.apache.spark.examples.HBaseConverter", | ||
conf=conf) | ||
output = hbase_rdd.collect() | ||
for (k, v) in output: | ||
print (k, v) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters