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progress on mapping data, finding clusters, probably inefficient

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nitowa
2022-08-23 15:12:52 -04:00
parent 883c81b786
commit 5b9ec0da6a
27 changed files with 431 additions and 50 deletions
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.vscode/settings.json
Vendored
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{
"python.analysis.extraPaths": [
"./config/db"
]
}
__pycache__/settings.cpython-310.pyc
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clean.py
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import sys
import json
sys.path.append("config/db")
from db_teardown import db_teardown
config = json.load(open("./settings.json"))
db_teardown(config)
config/db/__pycache__/db_read_csv_txs.cpython-310.pyc
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config/db/__pycache__/db_setup.cpython-310.pyc
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config/db/__pycache__/db_teardown.cpython-310.pyc
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config/db/db_read_csv_txs.py
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from cassandra.cluster import Cluster
from cassandra.query import BoundStatement, BatchStatement
import csv
def db_insert_csv_txs(config, tx_file):
print(" == DB TX INSERTION SCRIPT == ")
print(
f"Attempting Cassandra connection @ {config['cassandra_addresses']}:{config['cassandra_port']}")
cluster = Cluster(config['cassandra_addresses'],
port=config['cassandra_port'])
session = cluster.connect(config['cassandra_keyspace'])
print(f"Connection OK")
with open(tx_file, newline='') as tx_csv:
rowreader = csv.reader(tx_csv, dialect="excel")
next(rowreader) # skip header
statement = session.prepare(
f"INSERT INTO {config['tx_table_name']} (tx_id,address,value,tx_hash,block_id,timestamp) VALUES(?,?,?,?,?,?);")
boundStatement = BoundStatement(statement)
batchStatement = BatchStatement()
for row in rowreader:
batchStatement.add(boundStatement.bind(
[int(row[0]), str(row[1]), int(row[2]), str(row[3]), int(row[4]), int(row[5])]))
session.execute(batchStatement)
print("Done!")
cluster.shutdown()
config/db/db_setup.py
+25
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from cassandra.cluster import Cluster
import os
def db_setup(config):
print(" == DB SETUP SCRIPT == ")
print(f"Attempting Cassandra connection @ {config['cassandra_addresses']}:{config['cassandra_port']}")
cluster = Cluster(config['cassandra_addresses'], port=config['cassandra_port'])
session = cluster.connect()
print(f"Connection OK")
print(f"Creating KEYSPACE '{config['cassandra_keyspace']}'")
with open(f"{config['setup_keyspace_dir']}/CREATE.sql") as keyspace_create:
session.execute(keyspace_create.read())
with open(f"{config['setup_keyspace_dir']}/USE.sql") as keyspace_use:
session.execute(keyspace_use.read())
for folder_name in os.listdir(config['setup_tables_dir']):
print(f"Creating TABLE '{folder_name}'")
with open(f"{config['setup_tables_dir']}/{folder_name}/CREATE.sql") as sql_create:
session.execute(sql_create.read())
print("Done!")
cluster.shutdown()
config/db/db_teardown.py
+22
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@@ -0,0 +1,22 @@
from cassandra.cluster import Cluster
import os
def db_teardown(config):
print(" == DB TEARDOWN SCRIPT == ")
print(f"Attempting Cassandra connection @ {config['cassandra_addresses']}:{config['cassandra_port']}")
cluster = Cluster(config['cassandra_addresses'], port=config['cassandra_port'])
session = cluster.connect(config['cassandra_keyspace'])
print(f"Connection OK")
for folder_name in os.listdir(config['setup_tables_dir']):
print(f"Dropping TABLE '{folder_name}'")
with open(f"{config['setup_tables_dir']}/{folder_name}/DROP.sql") as table_drop:
session.execute(table_drop.read())
with open(f"{config['setup_keyspace_dir']}/DROP.sql") as keyspace_drop:
print(f"Dropping KEYSPACE '{config['cassandra_keyspace']}'")
session.execute(keyspace_drop.read())
print("Done!")
cluster.shutdown()
setup/db/keyspace/CREATE.sql → config/db/keyspace/CREATE.sql
+1 -1
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@@ -1 +1 @@
CREATE KEYSPACE IF NOT EXISTS distributedunionfind WITH replication = {'class':'SimpleStrategy', 'replication_factor' : 3};
CREATE KEYSPACE IF NOT EXISTS distributedunionfind WITH replication = {'class':'SimpleStrategy', 'replication_factor': 1};
config/db/keyspace/DROP.sql
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DROP KEYSPACE IF EXISTS distributedunionfind;
setup/db/keyspace/USE.sql → config/db/keyspace/USE.sql
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config/db/tables/clusters/CREATE.sql
+5
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CREATE TABLE clusters(
address TEXT,
parent TEXT,
PRIMARY KEY (address)
);
config/db/tables/clusters/DROP.sql
+1
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@@ -0,0 +1 @@
DROP TABLE clusters;
setup/db/tables/transactions/CREATE.sql → config/db/tables/transactions/CREATE.sql
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config/db/tables/transactions/DROP.sql
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DROP TABLE transactions;
scratchpad.py
+32
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import sys
import json
from cassandra.cluster import Cluster
sys.path.append("config/db")
config = json.load(open("./settings.json"))
print(
f"Attempting Cassandra connection @ {config['cassandra_addresses']}:{config['cassandra_port']}")
cluster = Cluster(config['cassandra_addresses'],
port=config['cassandra_port'])
session = cluster.connect(config['cassandra_keyspace'])
print(f"Connection OK")
result = session.execute("SELECT * FROM clusters")
print(result.all())
"""
sc = pyspark.SparkContext('spark://osboxes:7077')
data = sc.parallelize(list("aaa bbb cc dd e f"))
counts = data \
.map(lambda x: (x, 1)) \
.reduceByKey(add) \
.sortBy(lambda x: x[1], ascending=False) \
.collect()
for (word, count) in counts:
print("{}: {}".format(word, count))
"""
settings.json
+13
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@@ -0,0 +1,13 @@
{
"cassandra_addresses": ["127.0.0.1"],
"cassandra_port": 9042,
"cassandra_keyspace": "distributedunionfind",
"setup_db_dir": "config/db",
"setup_tables_dir": "config/db/tables",
"setup_keyspace_dir": "config/db/keyspace",
"tx_table_name": "transactions",
"clusters_table_name": "clusters"
}
settings.py
-6
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@@ -1,6 +0,0 @@
cassandra_addresses = ['127.0.0.1']
cassandra_port = 9042
cassandra_keyspace = 'distributedunionfind'
setup_db_dir = 'setup/db'
setup_tables_dir = setup_db_dir+"/tables"
setup.py
+8 -20
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@@ -1,24 +1,12 @@
from settings import cassandra_addresses, cassandra_port, setup_db_dir, setup_tables_dir
from cassandra.cluster import Cluster
import os
import sys
import json
print(" == DB SETUP SCRIPT == ")
sys.path.append("config/db")
print(f"Attempting Cassandra connection @ {cassandra_addresses}:{cassandra_port}")
cluster = Cluster(cassandra_addresses, port=cassandra_port)
session = cluster.connect()
print(f"Connection OK")
from db_setup import db_setup
from db_read_csv_txs import db_insert_csv_txs
with open(f"{setup_db_dir}/keyspace/CREATE.sql") as keyspace_create:
session.execute(keyspace_create.read())
config = json.load(open("./settings.json"))
with open(f"{setup_db_dir}/keyspace/USE.sql") as keyspace_use:
session.execute(keyspace_use.read())
for folder_name in os.listdir(setup_tables_dir):
with open(f'{setup_tables_dir}/{folder_name}/CREATE.sql') as sql_create:
session.execute(sql_create.read())
session.execute("INSERT INTO transactions (tx_id,address,value,tx_hash,block_id,timestamp) VALUES(1697,'t1KmCvfPMgfQXeNosFqzAmvYdEoYfdnxnVA',15701,'18c23345908f5097456c5f0014411381fd9866790aa65b863aab24ee17453732',818,1477724947)")
res = session.execute('SELECT * FROM transactions')
print(res.one())
db_setup(config)
db_insert_csv_txs(config, "./small_test_data.csv")
setup/db/keyspace/DROP.sql
-1
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@@ -1 +0,0 @@
DROP KEYSPACE IF EXISTS distributedunionfind
setup/db/tables/transactions/DROP.sql
-1
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@@ -1 +0,0 @@
DROP TABLE transactions
small_test_data.csv
+181
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@@ -0,0 +1,181 @@
tx_id,address,value,tx_hash,block_id,timestamp
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97,1F4yNuWhNXkrf4pE4QMfZLrt7mRVzw9rrK,4341,63271b55cd4bc253433b66bb559cd55258d44e0353a70c2fe5e13c81f907eff0,97,1477743664
97,1DS7SAKyEynj8oH5s9PgxE2BUfbNckd355,4525,63271b55cd4bc253433b66bb559cd55258d44e0353a70c2fe5e13c81f907eff0,97,1477743664
98,1F4yNuWhNXkrf4pE4QMfZLrt7mRVzw9rrK,4786,f82f5d6cc0b8770b8ece9b7fad661412994999921f17a1d0446504ddca87851a,98,1477743799
99,1F4yNuWhNXkrf4pE4QMfZLrt7mRVzw9rrK,874,870382a095c8364d1da768c6787a44ec3cc15b6fadd5085d85ed8c813cb5da5a,99,1477743873
99,1BwcTvisQ8TFnVMtva78zWMyvqqr7k4dyV,152,870382a095c8364d1da768c6787a44ec3cc15b6fadd5085d85ed8c813cb5da5a,99,1477743873
99,1H99UihszQWoppVqWvp5LDjR8PUTFQ58EU,576,870382a095c8364d1da768c6787a44ec3cc15b6fadd5085d85ed8c813cb5da5a,99,1477743873
100,1F4yNuWhNXkrf4pE4QMfZLrt7mRVzw9rrK,670,d08a6ec49f285c361a63d1c9528b47ef4d2efb3a41a9f6fbf17078dd44c3483f,100,1477743908
101,1F4yNuWhNXkrf4pE4QMfZLrt7mRVzw9rrK,469,3665474c37ebb5524a3bcceb8249b6c84e1b7fcefe70f1c9db898673a6c84c2e,101,1477744047
102,1F4yNuWhNXkrf4pE4QMfZLrt7mRVzw9rrK,3200,3134370264311c339b8fb8e1676bf053cec6f18100f5941c2ae4b7ec9cbd3ce8,102,1477744286
103,1F4yNuWhNXkrf4pE4QMfZLrt7mRVzw9rrK,3538,e80d703ccb172d18fb0a8f09112e540d1b44584410174bcad7a5c1e1658feddb,103,1477744536
104,1F4yNuWhNXkrf4pE4QMfZLrt7mRVzw9rrK,4073,ef3e9380f2b2eb6693fdda09a5ec9f4329d7b48e91e5f9585b2eee09227fff58,104,1477744928
1 tx_id address value tx_hash block_id timestamp
2 0 18XMcuNcPpUGLEgFogaXqZQWidNCyuWvrJ 4609 2179241ef47c59f043e8e5bfba33d4ccdcbad9bdfc245fab3f1ac0a0cf4bb95d 0 1477724947
3 1 12yriKe117c24oqxoapTzWXwb2nPHbHVVi 442 bff57c7602bb55cfdfc07dd2e10274f4b82d6e0fb4eb311b3b06e74c38e61ff2 1 1477725342
4 1 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 2041 bff57c7602bb55cfdfc07dd2e10274f4b82d6e0fb4eb311b3b06e74c38e61ff2 1 1477725342
5 2 1PzCy6TKe4GRn41WoQ9KQ4sfGL8kwSeAvj 3556 859095d814516138ed8d9f66e7c7514ca0c452efeba668b193a64bbe1f985ddd 2 1477725635
6 2 1FTkenQqmxtuhNATrV9evtkjfdo54L7hPN 3529 859095d814516138ed8d9f66e7c7514ca0c452efeba668b193a64bbe1f985ddd 2 1477725635
7 2 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 788 859095d814516138ed8d9f66e7c7514ca0c452efeba668b193a64bbe1f985ddd 2 1477725635
8 2 148Ebq2qHioHGFruAHvSHsut25L5F26TjG 1621 859095d814516138ed8d9f66e7c7514ca0c452efeba668b193a64bbe1f985ddd 2 1477725635
9 2 1FLV1Y8jem2G3Cxkh127sQnovaQvQCTtje 1915 859095d814516138ed8d9f66e7c7514ca0c452efeba668b193a64bbe1f985ddd 2 1477725635
10 3 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 4362 6305c45584d6f8e3daa1f4075eccf24757382641f402e1d8714286d1f49c1ffe 3 1477725636
11 4 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 3028 c8f86fe8bdbaf231a03b395e4546e4c4e42ddbab3c2db479945592c0375a87b6 4 1477725729
12 5 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 2351 544a8690110099a4a1dc6831d6666199019e28cc1c7752ca965201d291c474ad 5 1477726050
13 6 16SKLHfQdpF9DUzRFVpZ3RtDi1gViyHiby 1340 0cc5b12d22940ed0a596bf48ab84041c40ec5c35d8df32eea752857db296976f 6 1477726421
14 6 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 4668 0cc5b12d22940ed0a596bf48ab84041c40ec5c35d8df32eea752857db296976f 6 1477726421
15 7 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 4141 2b1fb25421601bd23d27e6b6d72331f713f44b6e7f15f2742f73322a31fc4f3a 7 1477726449
16 8 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 422 3060c805f22cd47675d0cac8d4bd10839f6e9845cabe1e19c299e6cdee1b50a3 8 1477726589
17 9 1K2KwATcG2vQ1L9s1qrLMci1oAMgTa1BYy 503 c0171e55ba1bdd2761e6acd80c7323255ee78d62d89d7dc95ac669b9d084e572 9 1477726862
18 9 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 3737 c0171e55ba1bdd2761e6acd80c7323255ee78d62d89d7dc95ac669b9d084e572 9 1477726862
19 10 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 2981 7a93895f31104c5a3b21f0e32206d98f436fc5f652238e3965790efd80dc9c38 10 1477727261
20 11 1Gri49ZrZ87JiD3yBXQZnYUdr8GV9z4MUH 1599 6c6cb74d5f0923bdee2b5e944dde20c8ecd5282e1708bb776a6cc847db2d531d 11 1477727495
21 11 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 4083 6c6cb74d5f0923bdee2b5e944dde20c8ecd5282e1708bb776a6cc847db2d531d 11 1477727495
22 12 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 4952 939a8f85fe523bb007898277e5e5e76ee673e252240cac5ad9f42cbefd4a3cf7 12 1477727563
23 13 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 1824 a38382874101de402ea61a5a6b1d98ce370089d950df43d951f3c9dd53ed596b 13 1477727805
24 14 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 1229 2da65b34c5c809743fe305b6819f19c7cc1f12137beafbc5836e4913a0184554 14 1477728074
25 15 1Lzy6HQGL2TEpASEHSgmtvfut9auSkbmJs 3921 a9daae52ab4c501cef3bcf70e372cca192cfe4f0f9277f46f5ff4671e2a10de6 15 1477728463
26 15 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 2818 a9daae52ab4c501cef3bcf70e372cca192cfe4f0f9277f46f5ff4671e2a10de6 15 1477728463
27 16 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 2721 ecaea7121fedb14e90595a1bd7b54f8fd677c92266a3ebae361c3f8d8420aa4e 16 1477728645
28 17 18hnWNqw8iqnkGg3h5592649XKQux7GUa6 3198 0d13804cd20bf131b7a9e104fc413a7e1b4e48fbfbdb99a017ee1ef6f573e8c7 17 1477728672
29 17 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 4447 0d13804cd20bf131b7a9e104fc413a7e1b4e48fbfbdb99a017ee1ef6f573e8c7 17 1477728672
30 18 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 4226 09e2dabcf5a70bb0db27d0d1821c6fa5b1845ca3a02dd45285f7aae2459866c7 18 1477729019
31 19 1MHViGVu72KWj7dMsqcypGVih385YoQzUb 2944 7bd825c8f456ff67511470d4ae996ae25e7badc7fe0a4b4c3866924062d4a0e0 19 1477729205
32 20 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 1665 5d70eee42a1e18cc17bc09e8d34754cca35d435b7d775cedffce9d0c1c7dbb0d 20 1477729336
33 21 3H6sJfDuFPyAPrg8VaMKssd6jJ8eSQNN5C 2386 ca80a3747917dc81c0f9a90de2185c66d71b704465b4de0aafa721f2763f387c 21 1477729702
34 22 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 3283 c5059fce2d1d3c2e8d7f31e5e4ce613ecc5db845fd47c8ca46b97dc266aa9dec 22 1477730093
35 22 3Dm2pFiNk1PAjxHMuTrPUM8T5a1wxphAkP 1600 c5059fce2d1d3c2e8d7f31e5e4ce613ecc5db845fd47c8ca46b97dc266aa9dec 22 1477730093
36 22 3QdE6N6dRdQNUVFy8Vv3twHuQRaa5kvu2U 1577 c5059fce2d1d3c2e8d7f31e5e4ce613ecc5db845fd47c8ca46b97dc266aa9dec 22 1477730093
37 23 3QdE6N6dRdQNUVFy8Vv3twHuQRaa5kvu2U 2424 2276f51c7e33c5261fbc53104b743f15bbea2ad46722ac8592f118606ea944f1 23 1477730144
38 24 3H6sJfDuFPyAPrg8VaMKssd6jJ8eSQNN5C 368 98914ed1391f6408b91874dbd7f69f917d5bfc249d7593ec8e14de94747017d1 24 1477730327
39 24 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 233 98914ed1391f6408b91874dbd7f69f917d5bfc249d7593ec8e14de94747017d1 24 1477730327
40 24 3CZQg1dc1HJ41QJsxViuqxpJLXHGvWdy1w 1389 98914ed1391f6408b91874dbd7f69f917d5bfc249d7593ec8e14de94747017d1 24 1477730327
41 24 39TwnPh7pEr99ZyYfkUrwLkcTGmrVSBC3R 4526 98914ed1391f6408b91874dbd7f69f917d5bfc249d7593ec8e14de94747017d1 24 1477730327
42 24 3PcKS338Y2Je6uEZ77djmQJLChjdaLv75E 2779 98914ed1391f6408b91874dbd7f69f917d5bfc249d7593ec8e14de94747017d1 24 1477730327
43 25 3CZQg1dc1HJ41QJsxViuqxpJLXHGvWdy1w 2848 b373d4a299942f628e68f7e7e84fdf4e3b5949f7592299e565a4d0e26bcec64d 25 1477730543
44 26 3ESVZJmNGNDziUckU6qUDMmp6ue3v3ErfP 676 2808b24fd80ab192aa7afc55eb0bb31c33bacf1221aef543153ef677799c2ac6 26 1477730761
45 26 3CZQg1dc1HJ41QJsxViuqxpJLXHGvWdy1w 2536 2808b24fd80ab192aa7afc55eb0bb31c33bacf1221aef543153ef677799c2ac6 26 1477730761
46 27 3H6sJfDuFPyAPrg8VaMKssd6jJ8eSQNN5C 3610 51adf572ffab1de3047f7bc46eff0a6708a62160aaef3cd579e3f8b2e8b9c2cf 27 1477730852
47 28 3H6sJfDuFPyAPrg8VaMKssd6jJ8eSQNN5C 688 ac63df67840aaf9a03f12b91a74961cff82609cec8357d8ab223d3153daa478a 28 1477730889
48 29 3H6sJfDuFPyAPrg8VaMKssd6jJ8eSQNN5C 3971 acd524b63d166835aeee515126e55670633bffc405ab387789e75c7dfb4fe3eb 29 1477731038
49 30 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 4928 1f642eff540fe878c3acb1518cd006f55797944b923643790222b85dd4ec3768 30 1477731296
50 30 3EXdRFUCu5qBNtLwpWy8NvpBRdNPRsEvXQ 3307 1f642eff540fe878c3acb1518cd006f55797944b923643790222b85dd4ec3768 30 1477731296
51 31 3H6sJfDuFPyAPrg8VaMKssd6jJ8eSQNN5C 1653 d3d5711d8b92437837db82331a4132e658922381afef5f60cc6b415ce1999e2d 31 1477731611
52 32 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 1486 4e690c8576cf921bac42befbfd55f2dcac5f6ea6763ab9b22deca052e15cbbb7 32 1477731703
53 33 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 1824 cdd555b0512bf1b23828de121ff22b1fc96b81c125c0fd78c51a75b787fcfff2 33 1477731720
54 33 17P8Lsw4kFLhHLBTQwi9MCfR6xDF4MfH5F 2108 cdd555b0512bf1b23828de121ff22b1fc96b81c125c0fd78c51a75b787fcfff2 33 1477731720
55 34 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 1362 e937af274b25f12cca28cb7bd27dab1621a2ca3d9907481cd56b4f942562bf78 34 1477732036
56 35 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 2341 a65c8de4f5d20706bd4109ad2662a0b36f022c52ede0004bb5fec131fb5cee98 35 1477732212
57 35 34oeKULDnRqsiTToVXzYxYLwAuyi1QhTGD 837 a65c8de4f5d20706bd4109ad2662a0b36f022c52ede0004bb5fec131fb5cee98 35 1477732212
58 35 32Yh4hKDiKP2h5jRX57HDSNsTJtpryCB8p 3671 a65c8de4f5d20706bd4109ad2662a0b36f022c52ede0004bb5fec131fb5cee98 35 1477732212
59 36 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 4933 127fa2027adf318c4ed8251b9a8310b20a00cbf83c39dc9ead67fc3561be5b43 36 1477732568
60 37 17P8Lsw4kFLhHLBTQwi9MCfR6xDF4MfH5F 1058 f1b9523ddc5574dbe98bfb6f897d3ff030b8873dd877bc230dc491669323618f 37 1477732824
61 38 17P8Lsw4kFLhHLBTQwi9MCfR6xDF4MfH5F 679 3514cece33629552536dc2c85fef8f9001ce64cceef3d00d8579458382dbe7e6 38 1477732916
62 38 3LyMyw5q3VDmdc5y2uK52SxTFV6YtDRjEU 4161 3514cece33629552536dc2c85fef8f9001ce64cceef3d00d8579458382dbe7e6 38 1477732916
63 39 3PCDL1umA9hXMp2YRDurFkQ8tMEjePyQyq 4510 a2e069ab489c5ed32cfbbfbf8c41f4e81d516991666338b1489dec404e1b5219 39 1477733228
64 39 338DY888RLprEK6Sj92Ro1X4jspdF9WMTK 2349 a2e069ab489c5ed32cfbbfbf8c41f4e81d516991666338b1489dec404e1b5219 39 1477733228
65 39 3FAH22bWvGHbD5xwdAviPD2NkypCcNtZfz 533 a2e069ab489c5ed32cfbbfbf8c41f4e81d516991666338b1489dec404e1b5219 39 1477733228
66 39 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 1250 a2e069ab489c5ed32cfbbfbf8c41f4e81d516991666338b1489dec404e1b5219 39 1477733228
67 40 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 519 55143f25c59c95b9b66e1afb758589415a2e850d9ba3ffc5850ad5ffeeb248f4 40 1477733259
68 41 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 1022 12df97e178db9f13137eaf879c53f7df7464a67c69e6b418c09c8335af4d8a15 41 1477733269
69 41 1NW3ovVf9DfpczHZ7YHajfXgjcN1BBxE8P 223 12df97e178db9f13137eaf879c53f7df7464a67c69e6b418c09c8335af4d8a15 41 1477733269
70 42 17P8Lsw4kFLhHLBTQwi9MCfR6xDF4MfH5F 1087 c6b9d1fdb7f8c20f4c578eebb2552b0adbbd1b28a957a8f56eca67de9ebdbb97 42 1477733283
71 43 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 440 1b151c9fc241f6296b965c304dc3429786e57b0fb76c5cca351f60d3b531ebf9 43 1477733329
72 44 3Gzq61vioahFFfyQR9A9nDt5UM61Jj9hJ9 2318 dee3d416d8beb94e9e170934fb29ad517cfef594fd078704da93ad74dfc9dad0 44 1477733382
73 44 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 4250 dee3d416d8beb94e9e170934fb29ad517cfef594fd078704da93ad74dfc9dad0 44 1477733382
74 44 3GdURTjkyMgFnPjELgWTuVG1aLas3BhShA 3504 dee3d416d8beb94e9e170934fb29ad517cfef594fd078704da93ad74dfc9dad0 44 1477733382
75 45 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 4543 a4327bf59e02f3cebb63c25d585fca2ef723512a2a891a59890667f178fcc76c 45 1477733666
76 46 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 2831 6469cc94343c35bd3a9a316990f93c2f5a55806896aaf1be71b6cf3ba4f71295 46 1477733884
77 47 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 1009 459054b60172dd81dd49930e805827c46b43bd68b8ea12dfc11a307183f58bf3 47 1477734056
78 48 17P8Lsw4kFLhHLBTQwi9MCfR6xDF4MfH5F 4911 ded460c087bd6571a1cb0c4376258731a5769aaf56327ab77f418aebd55763f8 48 1477734388
79 49 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 224 2d737e75a0cce777212d084d19450ac1396de684c81b48839246841e5cc05c84 49 1477734608
80 50 1JNLN6LRiSrx5FWQ9dAtBgdPSo58TZREVc 514 17f64303dfba6f6d1b0c3faeeefaeaddb68c786742d449a1c2ddf8165582988b 50 1477734878
81 50 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 3338 17f64303dfba6f6d1b0c3faeeefaeaddb68c786742d449a1c2ddf8165582988b 50 1477734878
82 50 1AjxAJKs12g16o5gx3YbfTJT197FJkq8Gd 2477 17f64303dfba6f6d1b0c3faeeefaeaddb68c786742d449a1c2ddf8165582988b 50 1477734878
83 51 1F8frjsrDpNuANKuhMxz1pTrt3ThNAgeKF 3960 99e53ce74a805ff8ce409fcb662b72c6783c2626a7d30f4a89c6675b9bee8281 51 1477735272
84 52 1F8frjsrDpNuANKuhMxz1pTrt3ThNAgeKF 2305 a05bb346e38e3906dee3387196bb0198319ac38d8a6c24ea9f159641c82ef549 52 1477735521
85 53 19C6SDKcCXFZBPtcz5n857EjHKFJ9mSUAe 2904 76fca1eb2b263270dd412c75e7c83b1f3cc023ed9e60b55611ca6e8513f6a70b 53 1477735837
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87 53 197uzNAN1bmRrQALTMWrh45HCA91LnAFDL 1650 76fca1eb2b263270dd412c75e7c83b1f3cc023ed9e60b55611ca6e8513f6a70b 53 1477735837
88 54 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 4407 b2d4e3a43827e1fd9279e2cefd9ce1df75b8da0c80cad131f4105c6f3c2e5e23 54 1477735861
89 55 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 566 993544404fb7c7a12937c644c47f778670dd6ef3e57938809667f2794ca0f85d 55 1477735915
90 56 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 2603 ba75c0a7c4a5d1ef9b705f8309f415bc085354c9d8e2811d27919a31f33f7952 56 1477736274
91 57 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 2021 40680e7d122a5c24d0b14a5a6b3ad32322dd5aa904fccf6fc501fdaa0ae92c55 57 1477736499
92 58 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 2564 cf2fc800424cad5f6e6ca9e6fe867610769e6380f05cbf9d25c5af957a6565af 58 1477736684
93 59 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 3689 b87f98cd451fac55a912c27f02ef74401e8acd93419ca1d67d2b1a27eff7b42c 59 1477736774
94 60 1F8frjsrDpNuANKuhMxz1pTrt3ThNAgeKF 998 46591437f61e98a5c50146ba2166b41bebc2d6b73b12f2743ec1e3054fe79023 60 1477736878
95 61 1JhZvzBCVLkbEMvs8xhy34RpfwsriTJUrt 4415 766970297f7cf1359ce38a146add3b8c4dc34ab9d9ee1913feb262cb2cfb41d1 61 1477736989
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src/spark/main.py
+76
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@@ -0,0 +1,76 @@
from gc import collect
from sqlite3 import Row
from typing import Iterable
from operator import add
from pyspark.sql import SparkSession
from pyspark.sql import functions as F
spark = SparkSession.builder \
.appName('SparkCassandraApp') \
.config('spark.cassandra.connection.host', 'localhost') \
.config('spark.cassandra.connection.port', '9042') \
.config('spark.cassandra.output.consistency.level', 'ONE') \
.config("spark.sql.extensions", "com.datastax.spark.connector.CassandraSparkExtensions") \
.config('directJoinSetting', 'on') \
.master('spark://osboxes:7077') \
.getOrCreate()
spark.conf.set("spark.sql.catalog.myCatalog",
"com.datastax.spark.connector.datasource.CassandraCatalog")
tx_addr_groups = spark.read.table("myCatalog.distributedunionfind.transactions") \
.groupBy("tx_id") \
.agg(F.collect_set('address').alias('addresses')) \
.toLocalIterator()
def insertCluster (row):
addrs: Iterable[str] = row['addresses']
df = spark.createDataFrame(map(lambda addr: (addr, addrs[0]), addrs), schema=['address', 'parent'])
df.writeTo("myCatalog.distributedunionfind.clusters").overwrite()
"""
tuple structure:
Row => Row(parent=addr, addresses=list[addr]
Iterable[str] => list[addr]
"""
def find(data: tuple[Row, Iterable[str]]):
cluster = data[0]
tx = data[1]
clusteraddresses = cluster['addresses'] + [cluster['parent']]
if any(x in tx for x in clusteraddresses):
return cluster['parent']
else:
return None
for addr_group in tx_addr_groups:
clusters_df = spark.read.table("myCatalog.distributedunionfind.clusters")
clusters = clusters_df \
.groupBy("parent") \
.agg(F.collect_set('address').alias('addresses'))
if (clusters.count() == 0):
insertCluster(addr_group)
continue
df = clusters.rdd \
.map(lambda cluster: (cluster, addr_group['addresses'])) \
.map(find) \
.filter(lambda x: x != None) \
.collect()
if(len(df) == 0):
insertCluster(addr_group)
continue
print(addr_group)
print(df)
break
start_services.sh
Executable
+6
View File
@@ -0,0 +1,6 @@
SPARK_HOME="/home/osboxes/Downloads/spark-3.2.2-bin-hadoop3.2"
SPARK_MASTER="spark://osboxes:7077"
"$SPARK_HOME"/sbin/start-master.sh
SPARK_WORKER_INSTANCES=5 "$SPARK_HOME"/sbin/start-worker.sh "$SPARK_MASTER"
docker run -d -p 9042:9042 cassandra
submit.sh
Executable
+14
View File
@@ -0,0 +1,14 @@
SPARK_HOME="/home/osboxes/Downloads/spark-3.2.2-bin-hadoop3.2"
MEMORY="4g"
SPARK_MASTER="spark://osboxes:7077"
CASSANDRA_HOST="localhost"
"$SPARK_HOME"/bin/spark-submit \
--master "$SPARK_MASTER" \
--conf spark.executor.memory="$MEMORY" \
--conf spark.cassandra.connection.host="$CASSANDRA_HOST" \
--conf spark.sql.session.timeZone=UTC \
--conf spark.sql.extensions=com.datastax.spark.connector.CassandraSparkExtensions \
--packages com.datastax.spark:spark-cassandra-connector_2.12:3.2.0 \
./src/spark/main.py
teardown.py
-21
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@@ -1,21 +0,0 @@
from settings import cassandra_addresses, cassandra_port, cassandra_keyspace, setup_tables_dir, setup_db_dir
from cassandra.cluster import Cluster
import os
print(" == DB TEARDOWN SCRIPT == ")
print(f"Attempting Cassandra connection @ {cassandra_addresses}:{cassandra_port}")
cluster = Cluster(cassandra_addresses, port=cassandra_port)
session = cluster.connect(cassandra_keyspace)
print(f"Connection OK")
for folder_name in os.listdir(setup_tables_dir):
print(f"Dropping table {folder_name}")
with open(f'{setup_tables_dir}/{folder_name}/DROP.sql') as sql_drop:
session.execute(sql_drop.read())
with open(f"{setup_db_dir}/keyspace/DROP.sql") as keyspace_create:
print(f"Dropping keyspace {cassandra_keyspace}")
session.execute(keyspace_create.read())
print("Done!")