Lucene/Solr Revolution 2015

1. O C T O B E R 1 3 - 1 6 , 2 0 1 6 • A U S T I N , T X

2. Distributed Search in Riak
Integrating search in a NoSQL database
Fred Dushin
Member of Technical Staff
Basho Technologies

3. 3
About Me
CORBA -> Web Services -> MoM
Joined Basho Jan 2015
Reach out!
github://fadushin
lr2015@dushin.net

4. 4
What I want to talk about
How is Query even possible in a distributed
NoSQL database?
What happens when things break?
How does Riak distribute data?
How does Riak repair divergence?
What is Riak? What is Riak Search?
What does Solr bring to Riak?
What does Riak bring to Solr?

5. 5
What is Riak?
A Distributed key-value store
Prioritizes availability over consistency
Provides elasticity without downtime

6. 6
A Riak Glossary
• Key
... any sequence of bytes
• Value
... any opaque blob of data
• Bucket
... an organizing namespace for keys
• Bucket Type
... an organizing namespace for buckets
{{BucketType, Bucket}, Key} -> Value
"BKey"

7. 7
Riak Partitions
1
2
3
45
6
8
7
ring_size=8
2^160/4
0
BKey_1
BKey_2
BKey_3
BKey_4
BKey_n
...
sha1(BKey_i) = 3671 A68E 1098 CDEE 9F4B
2^160 * 3/4
2^160/2
A 20 byte hash, or,
A really big number between 0 and 2^160 - 1
2^160 = 1461501637330902918203684832716283019655932542976
{1, 0}
{2, 182687704666362864775460604089535377456991567872}
{3, 365375409332725729550921208179070754913983135744}
{4, 548063113999088594326381812268606132370974703616}
{5, 730750818665451459101842416358141509827966271488}
{6, 913438523331814323877303020447676887284957839360}
{7, 1096126227998177188652763624537212264741949407232}
{8, 1278813932664540053428224228626747642198940975104}

8. Node 5
Node 4
Node 3
Node 2
Node 1
8
How Partitions are distributed
ring_size=8 num_nodes=5
1
2
3
45
6
8
7
1
6
27
3
8
45
A Riak "cluster"

9. 9
How entries are replicated
1
2
3
45
6
8
7
sha1(BKey) -> 6
"responsible" partition
"primary" replicas
n_val = 3

10. Node 5
Node 4
Node 3
Node 2
Node 1
10
Riak/KV Put
1 6
2 7
3 8
4
5
#!/usr/bin/env python
import riak
client = riak.RiakClient(
host='node4'
)
bucket = client.bucket('agents')
key = 'agentp'
value = {'name_s': "perry",
'type_s': "reptile"}
obj = bucket.new(key, value)
obj.store()
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "reptile"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "reptile"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "reptile"}
n_val = 3
w = quorum (⌊n_val/2⌋ + 1)
ok sha1({agents, agentp}) -> 6

11. n_val = 3
w = quorum
Node 5
Node 4
Node 3
Node 2
Node 1
11
Riak/KV Write Availability
1 6
2 7
3 8
4
5
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "reptile"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "reptile"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "reptile"}
#!/usr/bin/env python
import riak
client = riak.RiakClient(
host='node4'
)
bucket = client.bucket('agents')
key = 'agentp'
value = {'name_s': "perry",
'type_s': "mammal"}
obj = bucket.new(key, value)
obj.store()
ok
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
Hinted Handoff
fallback

12. Node 5
Node 4
Node 3
Node 2
Node 1
12
Riak/KV Read Repair
1 6
2 7
3 8
4
5
#!/usr/bin/env python
import riak
client = riak.RiakClient(
host='node4'
)
bucket = client.bucket('agents')
obj = bucket.get('agentp')
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
n_val = 3
r = quorum
{'name_s': "perry",
'type_s': "mammal"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}

13. 13
Riak K/V Active Anti-Entropy
{BKey, #}
{BKey, #}
{BKey, #}
#Segment_1
{BKey, #}
{BKey, #}
{BKey, #}
#Segment_2 ...
{BKey, #}
{BKey, #}
#Segment_k
...
#Seg_1..k #Seg_j..n...
#root
{BKey, #}
{BKey, #}
{BKey, #}
#Segment_n...
...
{BKey, #} {BKey, #}
{BKey, #}

14. Node 5
Node 4
Node 3
Node 2
Node 1
14
Riak/KV AAE
1 6
2 7
3 8
4
5
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
Riak maintains multiple hashtrees for each
partition, one for each "replica set" that can be
overlap on the partition.
Hashtrees are stored persistently on disk
Asynchronously updated on data inserts
Periodically exchanged between neighbors
Divergence in values triggers read repair

15. 15
Yokozuna

16. 16
What is Yokozuna?
An extension of Riak which provides search
capability over values stored in Riak
Data stored and replicated in Riak is
automatically indexed in Solr
Solr queries are distributed across the Riak
cluster
http://github.com/basho/yokozuna

17. Erlang BEAM
17
Yokozuna
Riak K/V
Yokozuna
Admin
API
Query
API
Solr
Monitor
Solr
Query
extractors
YZ AAE
http
http
http
pipe
index/delete/repair
http
protobuf
http
protobuf
operations
analysis
Solr
Indexing

18. Node 5
Node 4
Node 3
Node 2
Node 1
18
Indexing
1
2 7
3 8
4
5
#!/usr/bin/env python
import riak
client = riak.RiakClient(host='node4')
client.create_search_index('my_index')
my_index
my_index
my_index
my_index
my_index
bucket = client.bucket('agents')
bucket.set_properties(
{'search_index': 'my_index'}
)
key = 'agentp'
value = {'name_s': "perry",
'type_s': "mammal"}
obj = bucket.new(key, value)
obj.store()
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
6
name_s: ["perry"]
type_s: ["mammal"]
name_s: ["perry"]
type_s: ["mammal"]
name_s: ["perry"]
type_s: ["mammal"]

19. 19
<!-- XML -->
<schema name="default" version="1.5">
<fields>
...
<dynamicField name="*_s" type="string" indexed="true" stored="true" multiValued="false"/>
<dynamicField name="*_ss" type="string" indexed="true" stored="true" multiValued="true"/>
...
<!-- Required fields -->
<field name="_yz_id" type="_yz_str" indexed="true" stored="true" multiValued="false" required="true"/>
<field name="_yz_rt" type="_yz_str" indexed="true" stored="true" multiValued="false"/>
<field name="_yz_rb" type="_yz_str" indexed="true" stored="true" multiValued="false"/>
<field name="_yz_rk" type="_yz_str" indexed="true" stored="true" multiValued="false"/>
<field name="_yz_pn" type="_yz_str" indexed="true" stored="false" multiValued="false"/>
<field name="_yz_fpn" type="_yz_str" indexed="true" stored="false" multiValued="false"/>
<field name="_yz_vtag" type="_yz_str" indexed="true" stored="false" multiValued="false"/>
<field name="_yz_err" type="_yz_str" indexed="true" stored="false" multiValued="false"/>
<field name="_yz_ed" type="_yz_str" indexed="true" stored="false" multiValued="false"/>
</fields>
<uniqueKey>_yz_id</uniqueKey>
<types>
...
<fieldType name="_yz_str" class="solr.StrField" sortMissingLast="true" />
</types>
</schema>
Default/Custom Schema
https://github.com/basho/yokozuna/blob/develop/priv/default_schema.xml

20. 20
Riak Query
All Solr queries are made on the Riak endpoint
Riak uses distributed (legacy) Solr to route queries to
nodes in the Riak cluster using the shards parameter
Solr aggregates results and returns result through Riak
Riak supports all query features supported in distributed
Solr*
* Protobuf interfaces currently have some limitations.

21. Node 5
Node 4
Node 3
Node 2
Node 1
21
Covering Sets
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "reptile"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "reptile"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "reptile"}
6
7
83
4
5 1
2
A Covering Set is a subset of all partitions
such that for all BKeys in the keyspace, there is
exactly one partition in the covering set in
which that BKey can be found.
Covering Sets are not unique!

22. Node 5
Node 4
Node 3
Node 2
Node 1
22
Query
1
2 7
3 8
4
5
#!/usr/bin/env python
import riak
client = riak.RiakClient(host='node4')
results = bucket.search(
'type_s:mammal'
index='my_index'
)
my_index
my_index
my_index
my_index
my_index
6
name_s: ["perry"]
type_s: ["mammal"]
name_s: ["perry"]
type_s: ["mammal"]
name_s: ["perry"]
type_s: ["mammal"]
_yz_pn: 8
_yz_pn: 7
_yz_pn: 6

23. 23
Query
prompt$ curl 'http://node4:8098/search/query/my_index?wt=json&indent=true&q=type_s:mammal'
{
"responseHeader":{
"status": 0,
"QTime": 88,
"params":{
"q" :"type_s:reptile",
"shards": "node3:8093/internal_solr/my_index,node5:8093/internal_solr/my_index",
"node5:8093": "(_yz_pn:5 AND (_yz_fpn:5 OR _yz_fpn:4))",
"node3:8093": "_yz_pn:8 OR _yz_pn:3",
"indent": "true",
"wt": "json"}},
"response":{"numFound":1,"start":0,"maxScore":0.30685282,"docs":[
{
"name_s": "perry",
"type_s": "mammal",
"_yz_id": "1*default*agents*agentp*8",
"_yz_rk": "agentp",
"_yz_rt": "default",
"_yz_rb": "agents"}]
}
}

24. JVM
24
Yokozuna Java Components
Jetty
Monitor
Shard
Translator
Entropy
Data

25. Node 5
Node 4
Node 3
Node 2
Node 1
25
YZ AAE
1
2 7
3 8
4
5
my_index
my_index
my_index
my_index
my_index
6
name_s: ["perry"]
type_s: ["mammal"]
name_s: ["perry"]
type_s: ["mammal"]
name_s: ["perry"]
type_s: ["mammal"]
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}

26. Node 2
26
YZ AAE
2 my_index
name_s: ["perry"]
type_s: ["mammal"]
bucket: agents
key: agentp
value: {"name_s": "perry",
"type_s': "mammal"}
7
Yokozuna maintains its own set of AAE tress
for data stored in Solr.
Hashtrees are stored persistently on disk
Updated on indexing operations
Periodically exchanged between the K/V AAE
tree on the same node
If a value is missing in Solr, it is reindexed; if a
value is indexed when it shouldn't be, it is
deleted. Riak K/V is canonical.

27. 27
Entropy Data Field
<!-- XML -->
<schema name="default" version="1.5">
<fields>
...
<!-- Required fields -->
<field name="_yz_id" type="_yz_str" indexed="true" stored="true" multiValued="false" required="true"/>
<field name="_yz_rt" type="_yz_str" indexed="true" stored="true" multiValued="false"/>
<field name="_yz_rb" type="_yz_str" indexed="true" stored="true" multiValued="false"/>
<field name="_yz_rk" type="_yz_str" indexed="true" stored="true" multiValued="false"/>
<field name="_yz_pn" type="_yz_str" indexed="true" stored="false" multiValued="false"/>
<field name="_yz_fpn" type="_yz_str" indexed="true" stored="false" multiValued="false"/>
<field name="_yz_vtag" type="_yz_str" indexed="true" stored="false" multiValued="false"/>
<field name="_yz_err" type="_yz_str" indexed="true" stored="false" multiValued="false"/>
<field name="_yz_ed" type="_yz_str" indexed="true" stored="false" multiValued="false"/>
</fields>
<uniqueKey>_yz_id</uniqueKey>
<types>
...
<fieldType name="_yz_str" class="solr.StrField" sortMissingLast="true" />
</types>
</schema>

28. 28
_yz_ed field
2 default my_bucket agentp 8 g2IHDNr2
version
bucket type
bucket name
key
object hash
partition

29. 29
Entropy Data Query
prompt$ curl 'http://node3:8093/internal_solr/my_index/entropy_data?partition=8&limit=1000&wt=json&indent=true'
{
"responseHeader":{
"status":0,
"QTime":1},
"response":{"numFound":135,"start":0,"docs":[
...
{
"vsn":"2",
"riak_bucket_type":"default",
"riak_bucket_name":"my_bucket",
"riak_key":"agentp",
"base64_hash":"g2IHDNr2"
},
...
]},
"more":false}

30. JVM
30
Yokozuna Java Components
Jetty
Monitor
Shard
Translator
Entropy
Data

31. 31
What does Solr bring to Riak?
What does Riak bring to Solr?

32. 32
Thanks!