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Accidental Data Analytics
New Charts for Ops
1
Modernise DNS Charting
2
Current DNS Charting
3
• Time Travel.
• Nice looking charts.
• Low complexity.
• Low hardware requirements.
Extra Requirements
4
Dashboard Charts.
5
DNS Clients.
6
DNS Queries.
7
DNS Replies.
8
DNS Volumes.
9
World Map.
10
Tooling
Clickhouse
Grafana
PacketQ
Parallel
11
•If you can use xargs, you can use parallel.
•Also see SEM(1).
•Great for using all those cores.
• License appeasement.
• By O. Tange (2011),
• ;login: The USENIX Magazine
• February 2011:42-47
parallel
12
• Run SQL over pcap files.
• Fast-ish.
• Supports gzip’d pcaps
PacketQ
13
Grafana
14
• Column store database.
• Designed for speed & ease of use.
• SQL Frontend.
• HTTP(S) API (JSON).
• Cloudflare are using it for their platform.
• Scalable.
ClickHouse
15
• No UPDATE or DELETE*
• Translated documentation.
• No indexes, other than sort order*.
• All workings must fit in RAM*.
• Prefers batch inserts,
• ~ once a second.
• > 10,000 rows in a batch.
ClickHouse: The Bad
16
• Easy to setup.
• Well documented.
• Lots of analytical functions.
• Under active development.
• Easy clustering (with Zookeeper).
• Configurable sharding.
• Write one, read from many.
• Mirrored Data.
• Write all, read from one.
ClickHouse: The Good.
17
Pearson Correlation?
18
Quantiles?
19
WARNING:
STRAW-MAN AHEAD.
Sorry.
20
Column vs Row database.
21
≠
ClickHouse: The Faster
22
Postgres
ClickHouse
ClickHouse: The Faster
23
Postgres
ClickHouse
ClickHouse: The Faster
24
• One of the performance helpers is size.
ClickHouse: The Faster
25
• 240,000,000 rows vs 4,160,000,000 rows
Data Acquisition
Let’s get some data.
26
Data Acquisition
27
Data Acquisition
28
pcap
Data transformations
CSV
packetq -s “select * from dns”
Temp Table
Final Table
cat file.csv | clickhouse-client -q "INSERT INTO $TABLE_NAME FORMAT CSV"
cat transform_ingress.sql | clickhouse-client -n
CSV
prematch_query_answer.pl
Data Acquisition
29
• One days data from one name server.
• 60 millions rows.
• No worries.
• Nine days of data from one name server.
• 500 million rows.
• Performance issues.
Initial Exploration
30
Test platform.
Limitations.
31
Test platform.
32
NEW Test platform.
33
• Version 4 of the database.
• 1.9TBs of CSV files.
• 1.4TBs of ClickHouse database.
Where are we now.
34
• Waiting on hardware for production.
You said something ‘bout
analytics.
35
Example Process
Biggest users?
36
Example Process
37
SELECT
dictGetUInt32('asn_map', 'asn', tuple(client_addr)) AS client_asn,
trunc((countIf(answer_code = 3) / total) * 100, 2) AS nx_percent,
trunc((countIf(answer_code = 0) / total) * 100, 2) AS ok_percent,
count() AS total
FROM tx_v4
WHERE eventdate > (today() - 7)
GROUP BY client_asn
HAVING total > 1000000
ORDER BY total DESC
LIMIT 10
Example Process
38
ASN NX % OK %
15169 82.63 17.36
16509 13.03 86.95
14061 79.95 20.04
14618 3.05 96.94
12714 0 99.99
51747 99.5 0.38
8075 3.97 95.97
42708 99.24 0.75
62567 74.47 25.52
200130 77.62 22.37
Example Process
39
ASN NX % OK % Unique (%) Clients
15169 82.63 17.36 8.24 11015
16509 13.03 86.95 12.24 6891
14061 79.95 20.04 62.41 4217
14618 3.05 96.94 3.69 3913
12714 0 99.99 0.03 320
51747 99.5 0.38 94.12 94
8075 3.97 95.97 2.46 5246
42708 99.24 0.75 94.4 314
62567 74.47 25.52 49.79 564
200130 77.62 22.37 56.92 635
Flag Combos
40
MX && RD queries
41
RD queries
42
New popularity.
43
ASN hops to client
44
Configuration Validation.
45
Inter-site Variation
46
The logarithmic percentile histogram
47
Shameless stolen from PowerDNS’s blog
The logarithmic percentile histogram
48
Shameless stolen from PowerDNS’s blog
The logarithmic percentile histogram
49
Shameless stolen from PowerDNS’s blog
So?
50
Installation Process.
51
# Add sources
$ echo “deb https://packagecloud.io/grafana/stable/debian/ jessie main” > 
$ /etc/apt/sources.list.d/grafana.list
$ echo “deb http://repo.yandex.ru/clickhouse/xenial stable main” > 
$ /etc/apt/sources.list.d/clickhouse.list
# Add keys
$ sudo apt-key adv --keyserver keyserver.ubuntu.com --recv E0C56BD4
$ curl https://packagecloud.io/gpg.key | sudo apt-key add -
# Update apt lists
$ apt-get update
# Install packages
$ sudo apt-get install grafana clickhouse-client clickhouse-server-common
# Install datasource plugin.
$ grafana-cli plugins install vertamedia-clickhouse-datasource
# Then restart grafana

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