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SASI, Cassandra on full text search ride
DuyHai DOAN
Apache Cassandra Evangelist
@doanduyhai
Who Am I ?
Duy Hai DOAN
Apache Cassandra Evangelist
•  talks, meetups, confs
•  open-source devs (Achilles, Apache Zeppelin…)
•  OSS Cassandra point of contact
☞ duy_hai.doan@datastax.com
☞ @doanduyhai
2
@doanduyhai
Datastax
•  Founded in April 2010
•  We contribute a lot to Apache Cassandra™
•  400+ customers (25 of the Fortune 100), 450+ employees
•  Headquarter in San Francisco Bay area
•  EU headquarter in London, offices in France and Germany
•  Datastax Enterprise = OSS Cassandra + extra features
3
SASI Index
•  What is SASI ?
•  Distributed Index
•  Life-cycle
•  Query Planner
What is SASI ?
@doanduyhai
Who ?
•  Open source contribution by an engineers team
6
@doanduyhai
How ?
7
New secondary index re-designed from scratch
•  follow SSTable life-cycle (flush, compaction)
•  new data-strutures
•  full text search options
•  no dependency on Apache Lucene
SASI = SSTable-Attached Secondary Index
SASI Demo
SASI Demo
9
Distributed Index
@doanduyhai
Index on user country
11
H
A
E
D
B C
G F
FR user1 user102 … user493
US user54 user483 … user938
FR user87 user176 … user987
FR user17 user409 … user787
@doanduyhai
Distributed search query handling
12
H
A
E
D
B C
G F
coordinator
1st round
Concurrency factor = 1
@doanduyhai
Distributed search query handling
13
H
A
E
D
B C
G F
coordinator
Not enough
results ?
@doanduyhai
Distributed search query handling
14
H
A
E
D
B C
G F
coordinator
2nd round
Concurrency factor = 2
@doanduyhai
Distributed search query handling
15
H
A
E
D
B C
G F
coordinator
Still not enough
results ?
@doanduyhai
Distributed search query handling
16
H
A
E
D
B C
G F
coordinator
3rd round
Concurrency factor = 4
@doanduyhai
Caveat 1: query with non-restrictive filters
17
H
A
E
D
B C
G F
coordinator
Hit all
nodes
L
@doanduyhai
Caveat 1 solution: always use LIMIT
18
H
A
E
D
B C
G F
coordinator
SELECT *
FROM …
WHERE ...
LIMIT 1000
@doanduyhai
Caveat 2: 1-to-1 index (user_email)
19
H
A
E
D
B C
G F
coordinator
Not found WHERE user_email
LIKE '%xxx%'
@doanduyhai
Caveat 2: 1-to-1 index (user_email)
20
H
A
E
D
B C
G F
coordinator
Still no result
WHERE user_email
LIKE '%xxx%'
@doanduyhai
Caveat 2: 1-to-1 index (user_email)
21
H
A
E
D
B C
G F
coordinator
At best 1 user found
At worst 0 user found
WHERE user_email
LIKE '%xxx%'
@doanduyhai
Caveat 2 solution: use materalized views
22
For 1-to-1 index/relationship, use materialized views instead
CREATE MATERIALIZED VIEW user_by_email AS
SELECT * FROM users
WHERE user_id IS NOT NULL and user_email IS NOT NULL
PRIMARY KEY (user_email, user_id)
@doanduyhai
Caveat 3: fetch all rows for analytics use-case
23
H
A
E
D
B C
G F
coordinator
Hit all
nodes
L
@doanduyhai
Caveat 3 solution: use co-located Apache Spark
24
H
A
E
D
B C
G F
Local index filtering in Cassandra
Aggregation in Spark
Local index query
25
Q & A
! "
SASI Life-cycle
@doanduyhai
SASI Life-cycle: in-memory
27
Commit log1
. . .
1
Commit log2
Commit logn
Memory
. . .
MemTable
Table1
MemTable
Table2
MemTable
TableN
2
Index
MemTable1
Index
MemTable2
. . .
Index
MemTableN
3
ACK the client
@doanduyhai
IndexMemtable
28
Index mode, data type Data structure Usage
PREFIX, text Guava ConcurrentRadixTree name LIKE 'John%'
CONTAINS, text Guava ConcurrentSuffixTree
name LIKE ’%John%'
name LIKE ’%ny’
PREFIX, other JDK ConcurrentSkipListSet
age = 20
age >= 20 AND age <= 30
SPARSE, other JDK ConcurrentSkipListSet
age = 20
age >= 20 AND age <= 30
@doanduyhai
SASI Life-cycle: flush to SSTable
29
Commit log1
. . .
1
Commit log2
Commit logn
Memory
Table1
SStable1
Table2 Table3
SStable2 SStable3
4
OnDiskIndex1
OnDiskIndex2
OnDiskIndex3
@doanduyhai
SASI Life-cycle: compaction
30
SSTable1 SSTable2 SSTable3
New SSTable
OnDiskIndex1 OnDiskIndex2 OnDiskIndex3
New OnDiskIndex
@doanduyhai
OnDiskIndex Files
31
SStable1
SStable2
user_id4 FR user_id1 US user_id5 FR
user_id3 UK user_id2 DE
OnDiskIndex1
FR US
OnDiskIndex2
UK DE
@doanduyhai
OnDiskIndex Files
32
SStable1
SStable2
user_id4 FR user_id1 US user_id5 FR
user_id3 UK user_id2 DE
OnDiskIndex1
FR US
OnDiskIndex2
UK DE
Suffix Tree
Data structures
33
Q & A
! "
Query Planner
@doanduyhai
Integrated query planner
35
Perform optimizations on predicates
1.  build predicates tree
2.  predicates push-down & re-ordering
3.  predicate fusions for != operator
@doanduyhai
Query optimization example
36
WHERE age < 100 AND fname = 'p*' AND first_name != 'pa*' AND age > 21
@doanduyhai
Query optimization example
37
AND is associative
and commutative
@doanduyhai
Query optimization example
38
!= transformed to
exclusion on range scan
@doanduyhai
Query optimization example
39
AND is associative
and commutative
40
Q & A
! "
Some Benchmarks
@doanduyhai
Hardware specs
42
13 bare-metal machines
•  6 CPU HT (12 vcores)
•  64Gb RAM
•  4 SSDs in RAID0 for a total of 1.5Tb
Data set
•  13 billions of rows
•  1 numerical index with 36 distinct values
•  2 text index with 7 distinct values
•  1 text index with 3 distinct values
@doanduyhai
Benchmark results
43
@doanduyhai
Benchmark results
44
@doanduyhai
Benchmark results
45
@doanduyhai
Benchmark results
46
@doanduyhai
Benchmark results
47
Full scan using server-side paging
Predicate count Fetched rows Query time in sec
1 36 109 986 609
2 2 781 492 330
3 1 044 547 372
4 360 334 116
Take Away
@doanduyhai
Conclusion
49
Is it available ?
•  yes in Cassandra 3.5
Future enhancement ?
•  index on collections (List, Set & Map) !
•  OR clause (WHERE (xxx OR yyy) AND zzz )
•  != operator
@doanduyhai
Conclusion
50
SASI vs Solr/ElasticSearch ?
•  Cassandra is not a search engine !!! (database = durability)
•  always slower because 2 passes (SASI index read + original Cassandra data)
•  no scoring
•  no ordering (ORDER BY)
•  no grouping (GROUP BY) à Apache Spark for analytics
Still, SASI covers 80% of search use-cases and people are happy !
51
@doanduyhai
duy_hai.doan@datastax.com
https://academy.datastax.com/
Thank You

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