Phoenix SNAPSHOT Performance

Phoenix Performance Result :: Fri Jul 26 17:20:49 PDT 2013

AGGREGATION_TEST_TABLE
Various server side grouped/un-grouped aggregation functions. Data is pre-split in 9 regions over a 4 region server cluster.

ROWS 4000000 [4M]

DDL CREATE TABLE $TABLE (HOST CHAR(2) NOT NULL,DOMAIN VARCHAR NOT NULL,FEATURE VARCHAR NOT NULL,DATE DATE NOT NULL,USAGE.CORE BIGINT,USAGE.DB BIGINT,STATS.ACTIVE_VISITOR INTEGER CONSTRAINT PK PRIMARY KEY (HOST, DOMAIN, FEATURE, DATE)) SPLIT ON ('CSGoogle','CSSalesforce','EUApple','EUGoogle','EUSalesforce','NAApple','NAGoogle','NASalesforce')

DATA GENERATOR
STRING :: Values: NA|CS|EU
STRING :: Values: Salesforce.com|Apple.com|Google.com|Yelp.com
STRING :: Values: Login|Report|Dashboard|Sales|UI
DATE :: Values: SEQUENTIAL
INTEGER :: Max. Value: 100 Values: RANDOM
INTEGER :: Max. Value: 2000 Values: RANDOM
INTEGER :: Max. Value: 10000 Values: RANDOM

QUERIES

select count(*) from AGGREGATION_TEST_TABLE

2.21s PHOENIX-1.1

2.22s PHOENIX-1.2.0

select count(1) from AGGREGATION_TEST_TABLE group by HOST

2.31s PHOENIX-1.1

2.36s PHOENIX-1.2.0

select MIN(CORE) from AGGREGATION_TEST_TABLE group by DOMAIN

2.62s PHOENIX-1.1

2.75s PHOENIX-1.2.0

select core, count(1) from AGGREGATION_TEST_TABLE group by CORE

2.66s PHOENIX-1.1

2.64s PHOENIX-1.2.0

select core, host, sum(ACTIVE_VISITOR) from AGGREGATION_TEST_TABLE group by core, host

4.19s PHOENIX-1.1

4.36s PHOENIX-1.2.0

select AVG(DB), MIN(CORE), MAX(ACTIVE_VISITOR) from AGGREGATION_TEST_TABLE where host='CS' and DOMAIN<>'Google.com'

5.56s PHOENIX-1.1

5.92s PHOENIX-1.2.0

select round(date, 'day',50), sum(core)+2 from AGGREGATION_TEST_TABLE where (CORE<10 or CORE>90) group by round(date, 'day',50), host

1.88s PHOENIX-1.1

1.91s PHOENIX-1.2.0

select trunc(date, 'hour', 1000), count(DB), count(ACTIVE_VISITOR) from AGGREGATION_TEST_TABLE where feature='Login' and (core<50 or db<20 or active_visitor > 200) group by trunc(date, 'hour', 1000)

3.62s 200)) SERVER AGGREGATE INTO DISTINCT ROWS BY [ROUND(DATE)] CLIENT MERGE SORT'>PHOENIX-1.1

2.55s 200)) SERVER AGGREGATE INTO DISTINCT ROWS BY [ROUND(DATE)] CLIENT MERGE SORT'>PHOENIX-1.2.0

select count(active_visitor) count from AGGREGATION_TEST_TABLE

3.52s PHOENIX-1.1

3.71s PHOENIX-1.2.0

select count(distinct active_visitor) count from AGGREGATION_TEST_TABLE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select percentile_cont(0.9) within group (order by active_visitor asc) from AGGREGATION_TEST_TABLE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select percentile_cont(0.1) within group (order by active_visitor desc) from AGGREGATION_TEST_TABLE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select count(core), count(db), count(active_visitor) from AGGREGATION_TEST_TABLE

4.95s PHOENIX-1.1

5.13s PHOENIX-1.2.0

select count(distinct core), count(distinct db), count(distinct active_visitor) from AGGREGATION_TEST_TABLE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select percentile_cont(0.5) within group (order by core asc), percentile_cont(0.5) within group (order by db asc), percentile_cont(0.5) within group (order by active_visitor asc) from AGGREGATION_TEST_TABLE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select core, count(db) count from AGGREGATION_TEST_TABLE group by CORE

3.74s PHOENIX-1.1

3.82s PHOENIX-1.2.0

select core, count(distinct db) count from AGGREGATION_TEST_TABLE group by CORE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select core, percentile_cont(0.9999) within group (order by db asc) from AGGREGATION_TEST_TABLE group by CORE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select count(core) from AGGREGATION_TEST_TABLE where core < 10 and active_visitor < 1000

2.8s PHOENIX-1.1

1.51s PHOENIX-1.2.0

select count(core) from AGGREGATION_TEST_TABLE where core < 50 and active_visitor < 5000

3.39s PHOENIX-1.1

1.59s PHOENIX-1.2.0

select count(core) from AGGREGATION_TEST_TABLE where core < 100 and active_visitor < 10000

4.6s PHOENIX-1.1

1.65s PHOENIX-1.2.0

select count(core) from AGGREGATION_TEST_TABLE where core > 90

1.52s PHOENIX-1.1

1.55s PHOENIX-1.2.0

select count(core) from AGGREGATION_TEST_TABLE where core > 50

2.11s PHOENIX-1.1

2.15s PHOENIX-1.2.0

select count(core) from AGGREGATION_TEST_TABLE where core > 0

2.8s PHOENIX-1.1

2.89s PHOENIX-1.2.0

LOAD DATA [4000000 ROWS]

115.25s PHOENIX-1.1

145.08s PHOENIX-1.2.0

IN_LIKE_TABLE
Phoenix 1.2+ uses skip scan that gives significant performance improvement for IN/LIKE queries.

ROWS 4000000 [4M]

DDL CREATE TABLE IF NOT EXISTS $TABLE (K1 CHAR(1) NOT NULL, K2 VARCHAR NOT NULL, CF.A INTEGER, CF.B VARCHAR, CF.C VARCHAR CONSTRAINT PK PRIMARY KEY (K1,K2)) SPLIT ON ('B','C','D','E','F','G','H','I')

DATA GENERATOR
STRING :: Values: A|B|C|D|E|F|G|H|I
STRING :: Length: 10 Values: SEQUENTIAL
INTEGER :: Max. Value: 1000000 Values: RANDOM
STRING :: Length: 50 Values: RANDOM
STRING :: Length: 50 Values: RANDOM

QUERIES

select count(1) from IN_LIKE_TABLE where K1 in ('Z', 'D', 'F', 'X')

1.32s PHOENIX-1.1

1.1s PHOENIX-1.2.0

select * from IN_LIKE_TABLE where K1 in ('A','B') and K2 in ('xxx1000000','xxx2000000','xxx2000001')

1.78s PHOENIX-1.1

0.01s PHOENIX-1.2.0

select * from IN_LIKE_TABLE where K1 in ('A', 'C', 'E', 'F', 'H') and K2 like 'xxxxxx1%'

8.06s PHOENIX-1.1

0.02s PHOENIX-1.2.0

select count(*) from IN_LIKE_TABLE where K1 in ('X','A','B','C','D','E','F','G','H','I','Z') and K2 like '%1%'

1.64s PHOENIX-1.1

1.81s PHOENIX-1.2.0

select count(*) from IN_LIKE_TABLE where (K1 in ('A','E','F','G','H','I','Z') or K1 like 'E%') and (K2 like '%xx1%' or K2 like '%xxxxxx2%')

1.69s PHOENIX-1.1

1.8s PHOENIX-1.2.0

LOAD DATA [4000000 ROWS]

97.81s PHOENIX-1.1

113.28s PHOENIX-1.2.0

INDEXED_TEST_TABLE
Indexing test. Phoenix 2.0+ feature. Data is pre-split in 9 regions over a 4 region server cluster.

ROWS 4000000 [4M]

DDL CREATE TABLE $TABLE (HOST CHAR(2) NOT NULL,DOMAIN VARCHAR NOT NULL,FEATURE VARCHAR NOT NULL,DATE DATE NOT NULL,USAGE.CORE BIGINT,USAGE.DB BIGINT,STATS.ACTIVE_VISITOR INTEGER CONSTRAINT PK PRIMARY KEY (HOST, DOMAIN, FEATURE, DATE)) IMMUTABLE_ROWS=true SPLIT ON ('CSGoogle','CSSalesforce','EUApple','EUGoogle','EUSalesforce','NAApple','NAGoogle','NASalesforce');CREATE INDEX INDEX_CORE ON $TABLE (CORE);CREATE INDEX INDEX_DB ON $TABLE (DB);CREATE INDEX INDEX_ACTIVE_VISITOR ON $TABLE (ACTIVE_VISITOR);CREATE INDEX INDEX_ALL ON $TABLE (CORE,DB,ACTIVE_VISITOR);

DATA GENERATOR
STRING :: Values: NA|CS|EU
STRING :: Values: Salesforce.com|Apple.com|Google.com|Yelp.com
STRING :: Values: Login|Report|Dashboard|Sales|UI
DATE :: Values: SEQUENTIAL
INTEGER :: Max. Value: 100 Values: RANDOM
INTEGER :: Max. Value: 2000 Values: RANDOM
INTEGER :: Max. Value: 10000 Values: RANDOM

QUERIES

select count(*) from INDEXED_TEST_TABLE

1.1s PHOENIX-1.1

1.16s PHOENIX-1.2.0

select count(1) from INDEXED_TEST_TABLE group by HOST

1.14s PHOENIX-1.1

1.23s PHOENIX-1.2.0

select MIN(CORE) from INDEXED_TEST_TABLE group by DOMAIN

1.35s PHOENIX-1.1

1.48s PHOENIX-1.2.0

select core, count(1) from INDEXED_TEST_TABLE group by CORE

1.38s PHOENIX-1.1

1.39s PHOENIX-1.2.0

select core, host, sum(ACTIVE_VISITOR) from INDEXED_TEST_TABLE group by core, host

2.18s PHOENIX-1.1

2.27s PHOENIX-1.2.0

select AVG(DB), MIN(CORE), MAX(ACTIVE_VISITOR) from INDEXED_TEST_TABLE where host='CS' and DOMAIN<>'Google.com'

2.87s PHOENIX-1.1

2.94s PHOENIX-1.2.0

select round(date, 'day',50), sum(core)+2 from INDEXED_TEST_TABLE where (CORE<10 or CORE>90) group by round(date, 'day',50), host

0.95s PHOENIX-1.1

0.99s PHOENIX-1.2.0

select trunc(date, 'hour', 1000), count(DB), count(ACTIVE_VISITOR) from INDEXED_TEST_TABLE where feature='Login' and (core<50 or db<20 or active_visitor > 200) group by trunc(date, 'hour', 1000)

1.79s 200)) SERVER AGGREGATE INTO DISTINCT ROWS BY [ROUND(DATE)] CLIENT MERGE SORT'>PHOENIX-1.1

1.32s 200)) SERVER AGGREGATE INTO DISTINCT ROWS BY [ROUND(DATE)] CLIENT MERGE SORT'>PHOENIX-1.2.0

select count(active_visitor) count from INDEXED_TEST_TABLE

1.8s PHOENIX-1.1

1.93s PHOENIX-1.2.0

select count(distinct active_visitor) count from INDEXED_TEST_TABLE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select percentile_cont(0.9) within group (order by active_visitor asc) from INDEXED_TEST_TABLE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select percentile_cont(0.1) within group (order by active_visitor desc) from INDEXED_TEST_TABLE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select count(core), count(db), count(active_visitor) from INDEXED_TEST_TABLE

2.51s PHOENIX-1.1

2.66s PHOENIX-1.2.0

select count(distinct core), count(distinct db), count(distinct active_visitor) from INDEXED_TEST_TABLE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select core, count(db) count from INDEXED_TEST_TABLE group by CORE

1.93s PHOENIX-1.1

1.98s PHOENIX-1.2.0

select core, count(distinct db) count from INDEXED_TEST_TABLE group by CORE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select core, percentile_cont(0.9999) within group (order by db asc) from INDEXED_TEST_TABLE group by CORE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core IN (1,100)

0.68s PHOENIX-1.1

0.74s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core IN (1,25,50,75,100)

0.72s PHOENIX-1.1

0.76s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core < 10 and db < 200

0.89s PHOENIX-1.1

0.93s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core < 50 and db < 1000

1.37s PHOENIX-1.1

1.39s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core < 100 and db < 2000

2.2s PHOENIX-1.1

2.25s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core < 10 and active_visitor < 1000

1.41s PHOENIX-1.1

0.78s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core < 50 and active_visitor < 5000

1.73s PHOENIX-1.1

0.82s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core < 100 and active_visitor < 10000

2.46s PHOENIX-1.1

0.85s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core > 90

0.78s PHOENIX-1.1

0.82s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core > 50

1.11s PHOENIX-1.1

1.16s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core > 0

1.42s PHOENIX-1.1

1.51s PHOENIX-1.2.0

LOAD DATA [4000000 ROWS]

57.97s PHOENIX-1.1

72.82s PHOENIX-1.2.0

INDEXED_SALTED_TEST_TABLE
Indexing test. Phoenix 2.0+ feature. Data is pre-split in 9 regions over a 4 region server cluster.

ROWS 4000000 [4M]

DDL CREATE TABLE $TABLE (HOST CHAR(2) NOT NULL,DOMAIN VARCHAR NOT NULL,FEATURE VARCHAR NOT NULL,DATE DATE NOT NULL,USAGE.CORE BIGINT,USAGE.DB BIGINT,STATS.ACTIVE_VISITOR INTEGER CONSTRAINT PK PRIMARY KEY (HOST, DOMAIN, FEATURE, DATE)) IMMUTABLE_ROWS=true SPLIT ON ('CSGoogle','CSSalesforce','EUApple','EUGoogle','EUSalesforce','NAApple','NAGoogle','NASalesforce');CREATE INDEX SALTED_INDEX_CORE ON $TABLE (CORE) SALT_BUCKETS=9;CREATE INDEX SALTED_INDEX_DB ON $TABLE (DB) SALT_BUCKETS=9;CREATE INDEX SALTED_INDEX_ACTIVE_VISITOR ON $TABLE (ACTIVE_VISITOR) SALT_BUCKETS=9;CREATE INDEX SALTED_INDEX_ALL ON $TABLE (CORE,DB,ACTIVE_VISITOR) SALT_BUCKETS=9;

DATA GENERATOR
STRING :: Values: NA|CS|EU
STRING :: Values: Salesforce.com|Apple.com|Google.com|Yelp.com
STRING :: Values: Login|Report|Dashboard|Sales|UI
DATE :: Values: SEQUENTIAL
INTEGER :: Max. Value: 100 Values: RANDOM
INTEGER :: Max. Value: 2000 Values: RANDOM
INTEGER :: Max. Value: 10000 Values: RANDOM

QUERIES

select count(*) from INDEXED_SALTED_TEST_TABLE

2.31s PHOENIX-1.1

2.28s PHOENIX-1.2.0

select count(1) from INDEXED_SALTED_TEST_TABLE group by HOST

2.37s PHOENIX-1.1

2.29s PHOENIX-1.2.0

select MIN(CORE) from INDEXED_SALTED_TEST_TABLE group by DOMAIN

2.76s PHOENIX-1.1

2.53s PHOENIX-1.2.0

select core, count(1) from INDEXED_SALTED_TEST_TABLE group by CORE

2.75s PHOENIX-1.1

2.44s PHOENIX-1.2.0

select core, host, sum(ACTIVE_VISITOR) from INDEXED_SALTED_TEST_TABLE group by core, host

4.3s PHOENIX-1.1

3.9s PHOENIX-1.2.0

select AVG(DB), MIN(CORE), MAX(ACTIVE_VISITOR) from INDEXED_SALTED_TEST_TABLE where host='CS' and DOMAIN<>'Google.com'

5.74s PHOENIX-1.1

5.52s PHOENIX-1.2.0

select round(date, 'day',50), sum(core)+2 from INDEXED_SALTED_TEST_TABLE where (CORE<10 or CORE>90) group by round(date, 'day',50), host

1.92s PHOENIX-1.1

1.79s PHOENIX-1.2.0

select trunc(date, 'hour', 1000), count(DB), count(ACTIVE_VISITOR) from INDEXED_SALTED_TEST_TABLE where feature='Login' and (core<50 or db<20 or active_visitor > 200) group by trunc(date, 'hour', 1000)

3.69s 200)) SERVER AGGREGATE INTO DISTINCT ROWS BY [ROUND(DATE)] CLIENT MERGE SORT'>PHOENIX-1.1

2.54s 200)) SERVER AGGREGATE INTO DISTINCT ROWS BY [ROUND(DATE)] CLIENT MERGE SORT'>PHOENIX-1.2.0

select count(active_visitor) count from INDEXED_SALTED_TEST_TABLE

3.67s PHOENIX-1.1

3.53s PHOENIX-1.2.0

select count(distinct active_visitor) count from INDEXED_SALTED_TEST_TABLE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select percentile_cont(0.9) within group (order by active_visitor asc) from INDEXED_SALTED_TEST_TABLE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select percentile_cont(0.1) within group (order by active_visitor desc) from INDEXED_SALTED_TEST_TABLE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select count(core), count(db), count(active_visitor) from INDEXED_SALTED_TEST_TABLE

5.06s PHOENIX-1.1

4.88s PHOENIX-1.2.0

select count(distinct core), count(distinct db), count(distinct active_visitor) from INDEXED_SALTED_TEST_TABLE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select core, count(db) count from INDEXED_SALTED_TEST_TABLE group by CORE

3.91s PHOENIX-1.1

3.74s PHOENIX-1.2.0

select core, count(distinct db) count from INDEXED_SALTED_TEST_TABLE group by CORE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select core, percentile_cont(0.9999) within group (order by db asc) from INDEXED_SALTED_TEST_TABLE group by CORE

N/A for PHOENIX-1.1

N/A for PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core IN (1,100)

1.41s PHOENIX-1.1

1.45s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core IN (1,25,50,75,100)

1.46s PHOENIX-1.1

1.48s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core < 10 and db < 200

1.78s PHOENIX-1.1

1.84s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core < 50 and db < 1000

2.73s PHOENIX-1.1

2.77s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core < 100 and db < 2000

4.45s PHOENIX-1.1

4.52s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core < 10 and active_visitor < 1000

2.88s PHOENIX-1.1

1.56s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core < 50 and active_visitor < 5000

3.48s PHOENIX-1.1

1.63s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core < 100 and active_visitor < 10000

4.76s PHOENIX-1.1

1.68s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core > 90

1.57s PHOENIX-1.1

1.58s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core > 50

2.2s PHOENIX-1.1

2.18s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core > 0

2.91s PHOENIX-1.1

2.88s PHOENIX-1.2.0

LOAD DATA [4000000 ROWS]

120.86s PHOENIX-1.1

143.41s PHOENIX-1.2.0

CF_TABLE_14CF
Data is split in 14 column families. Phoenix 1.2+ uses Essential Column Family filter feature which fetches only required columns when filtering rows.

ROWS 4000000 [4M]

DDL CREATE TABLE IF NOT EXISTS $TABLE (K1 CHAR(1) NOT NULL, K2 VARCHAR NOT NULL, CF1.A INTEGER, CF2.B INTEGER, CF3.C INTEGER, CF4.D INTEGER, CF5.E INTEGER, CF6.F INTEGER, CF7.G INTEGER, CF8.H INTEGER, CF9.I INTEGER, CF10.J INTEGER, CF11.K INTEGER, CF12.L INTEGER, CF13.M INTEGER, CF14.N INTEGER CONSTRAINT PK PRIMARY KEY (K1,K2)) SPLIT ON ('B','C','D')

DATA GENERATOR
STRING :: Values: A|B|C|D
STRING :: Length: 10 Values: SEQUENTIAL
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM

QUERIES

select count(1) from CF_TABLE_14CF where K1 in ('A', 'B', 'C', 'D')

3.4s PHOENIX-1.1

3.26s PHOENIX-1.2.0

select count(1) from CF_TABLE_14CF where K1 in ('A', 'C')

3.1s PHOENIX-1.1

3.16s PHOENIX-1.2.0

select count(*) from CF_TABLE_14CF where N < 1000

5.25s PHOENIX-1.1

1.74s PHOENIX-1.2.0

select a,b,c,d,e,f,g,h,i,j,k,l,m,n from CF_TABLE_14CF where (B>1000 and B<2000) and (M>1000 and M<2000)

131.39s PHOENIX-1.1

2.34s PHOENIX-1.2.0

select sum(a),sum(e),sum(j),sum(n) from CF_TABLE_14CF group by K1

10.08s PHOENIX-1.1

10.55s PHOENIX-1.2.0

LOAD DATA [4000000 ROWS]

186.26s PHOENIX-1.1

234.64s PHOENIX-1.2.0

SALTED_TABLE
This is Phoenix 1.2+ feature. Data is split in 4 regions equal to number of region servers in test cluster by adding salted byte to each key.

ROWS 4000000 [4M]

DDL CREATE TABLE $TABLE (K1 CHAR(1) NOT NULL, K2 VARCHAR NOT NULL, CFA.A VARCHAR, CFA.B CHAR(100), CFA.C INTEGER, CFB.D INTEGER CONSTRAINT PK PRIMARY KEY (K1,K2)) SALT_BUCKETS=4

DATA GENERATOR
STRING :: Values: A|B|C|D
STRING :: Length: 10 Values: SEQUENTIAL
STRING :: Length: 100 Values: RANDOM
STRING :: Length: 100 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM

QUERIES

select count(1) from SALTED_TABLE where K1 in ('A', 'B', 'C', 'D')

5.04s PHOENIX-1.1

1.91s PHOENIX-1.2.0

select count(*) from SALTED_TABLE where D < 1000

6.84s PHOENIX-1.1

0.92s PHOENIX-1.2.0

select avg(c),avg(d) from SALTED_TABLE group by K1

10.05s PHOENIX-1.1

4.11s PHOENIX-1.2.0

LOAD DATA [4000000 ROWS]

170.92s PHOENIX-1.1

145.26s PHOENIX-1.2.0

CF_TABLE_1CF
Same data as in 14 column family table but this one only has a single column family. Performance should be worse in most cases.

ROWS 4000000 [4M]

DDL CREATE TABLE IF NOT EXISTS $TABLE (K1 CHAR(1) NOT NULL, K2 VARCHAR NOT NULL, CF.A INTEGER, CF.B INTEGER, CF.C INTEGER, CF.D INTEGER, CF.E INTEGER, CF.F INTEGER, CF.G INTEGER, CF.H INTEGER, CF.I INTEGER, CF.J INTEGER, CF.K INTEGER, CF.L INTEGER, CF.M INTEGER, CF.N INTEGER CONSTRAINT PK PRIMARY KEY (K1,K2)) SPLIT ON ('B','C','D')

DATA GENERATOR
STRING :: Values: A|B|C|D
STRING :: Length: 10 Values: SEQUENTIAL
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM
INTEGER :: Max. Value: 1000000 Values: RANDOM

QUERIES

select count(1) from CF_TABLE_1CF where K1 in ('A', 'B', 'C', 'D')

4.15s PHOENIX-1.1

4.1s PHOENIX-1.2.0

select count(1) from CF_TABLE_1CF where K1 in ('A', 'C')

4.16s PHOENIX-1.1

4.02s PHOENIX-1.2.0

select count(*) from CF_TABLE_1CF where N < 1000

5.53s PHOENIX-1.1

5.46s PHOENIX-1.2.0

select a,b,c,d,e,f,g,h,i,j,k,l,m,n from CF_TABLE_1CF where B>1000 and B<2000 and M>1000 and M<2000

25.69s PHOENIX-1.1

6.68s PHOENIX-1.2.0

select sum(a),sum(e),sum(j),sum(n) from CF_TABLE_1CF group by K1

11.96s PHOENIX-1.1

12.05s PHOENIX-1.2.0

LOAD DATA [4000000 ROWS]

158.75s PHOENIX-1.1

196.02s PHOENIX-1.2.0

Note: Hover over version label to see Phoenix Query Explain Plan.