Phoenix Performance Result :: Fri Jul 26 19:34:15 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
2.29s PHOENIX-1.2.0

select count(1) from AGGREGATION_TEST_TABLE group by HOST
2.44s PHOENIX-1.2.0

select MIN(CORE) from AGGREGATION_TEST_TABLE group by DOMAIN
2.89s PHOENIX-1.2.0

select core, count(1) from AGGREGATION_TEST_TABLE group by CORE
2.79s PHOENIX-1.2.0

select core, host, sum(ACTIVE_VISITOR) from AGGREGATION_TEST_TABLE group by core, host
4.44s PHOENIX-1.2.0

select AVG(DB), MIN(CORE), MAX(ACTIVE_VISITOR) from AGGREGATION_TEST_TABLE where host='CS' and DOMAIN<>'Google.com'
5.82s 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
1.91s 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)
2.54s 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
3.77s PHOENIX-1.2.0

select count(distinct active_visitor) count from AGGREGATION_TEST_TABLE
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-1.2.0

select percentile_cont(0.1) within group (order by active_visitor desc) from AGGREGATION_TEST_TABLE
N/A for PHOENIX-1.2.0

select count(core), count(db), count(active_visitor) from AGGREGATION_TEST_TABLE
5.24s PHOENIX-1.2.0

select count(distinct core), count(distinct db), count(distinct active_visitor) from AGGREGATION_TEST_TABLE
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-1.2.0

select core, count(db) count from AGGREGATION_TEST_TABLE group by CORE
3.91s PHOENIX-1.2.0

select core, count(distinct db) count from AGGREGATION_TEST_TABLE group by CORE
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-1.2.0

select count(core) from AGGREGATION_TEST_TABLE where core < 10 and active_visitor < 1000
1.47s PHOENIX-1.2.0

select count(core) from AGGREGATION_TEST_TABLE where core < 50 and active_visitor < 5000
1.51s PHOENIX-1.2.0

select count(core) from AGGREGATION_TEST_TABLE where core < 100 and active_visitor < 10000
1.54s PHOENIX-1.2.0

select count(core) from AGGREGATION_TEST_TABLE where core > 90
1.57s PHOENIX-1.2.0

select count(core) from AGGREGATION_TEST_TABLE where core > 50
2.18s PHOENIX-1.2.0

select count(core) from AGGREGATION_TEST_TABLE where core > 0
2.89s PHOENIX-1.2.0

LOAD DATA [4000000 ROWS]
148.22s 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')
1.23s PHOENIX-1.2.0

select * from IN_LIKE_TABLE where K1 in ('A','B') and K2 in ('xxx1000000','xxx2000000','xxx2000001')
0.01s PHOENIX-1.2.0

select * from IN_LIKE_TABLE where K1 in ('A', 'C', 'E', 'F', 'H') and K2 like 'xxxxxx1%'
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%'
2.13s 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%')
1.93s PHOENIX-1.2.0

LOAD DATA [4000000 ROWS]
119.02s 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
2.24s PHOENIX-1.2.0

select count(1) from INDEXED_TEST_TABLE group by HOST
2.38s PHOENIX-1.2.0

select MIN(CORE) from INDEXED_TEST_TABLE group by DOMAIN
2.78s PHOENIX-1.2.0

select core, count(1) from INDEXED_TEST_TABLE group by CORE
2.66s PHOENIX-1.2.0

select core, host, sum(ACTIVE_VISITOR) from INDEXED_TEST_TABLE group by core, host
4.29s PHOENIX-1.2.0

select AVG(DB), MIN(CORE), MAX(ACTIVE_VISITOR) from INDEXED_TEST_TABLE where host='CS' and DOMAIN<>'Google.com'
6s 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
1.91s 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)
2.45s 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
3.64s PHOENIX-1.2.0

select count(distinct active_visitor) count from INDEXED_TEST_TABLE
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-1.2.0

select percentile_cont(0.1) within group (order by active_visitor desc) from INDEXED_TEST_TABLE
N/A for PHOENIX-1.2.0

select count(core), count(db), count(active_visitor) from INDEXED_TEST_TABLE
5.06s PHOENIX-1.2.0

select count(distinct core), count(distinct db), count(distinct active_visitor) from INDEXED_TEST_TABLE
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 INDEXED_TEST_TABLE
N/A for PHOENIX-1.2.0

select core, count(db) count from INDEXED_TEST_TABLE group by CORE
3.87s PHOENIX-1.2.0

select core, count(distinct db) count from INDEXED_TEST_TABLE group by CORE
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-1.2.0

select count(core) from INDEXED_TEST_TABLE where core IN (1,100)
1.34s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core IN (1,25,50,75,100)
1.4s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core < 10 and db < 200
1.78s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core < 50 and db < 1000
2.75s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core < 100 and db < 2000
4.48s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core < 10 and active_visitor < 1000
1.4s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core < 50 and active_visitor < 5000
1.47s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core < 100 and active_visitor < 10000
1.51s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core > 90
1.52s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core > 50
2.16s PHOENIX-1.2.0

select count(core) from INDEXED_TEST_TABLE where core > 0
2.87s PHOENIX-1.2.0

LOAD DATA [4000000 ROWS]
146.44s 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
2.37s PHOENIX-1.2.0

select count(1) from INDEXED_SALTED_TEST_TABLE group by HOST
2.44s PHOENIX-1.2.0

select MIN(CORE) from INDEXED_SALTED_TEST_TABLE group by DOMAIN
2.87s PHOENIX-1.2.0

select core, count(1) from INDEXED_SALTED_TEST_TABLE group by CORE
2.82s PHOENIX-1.2.0

select core, host, sum(ACTIVE_VISITOR) from INDEXED_SALTED_TEST_TABLE group by core, host
4.36s PHOENIX-1.2.0

select AVG(DB), MIN(CORE), MAX(ACTIVE_VISITOR) from INDEXED_SALTED_TEST_TABLE where host='CS' and DOMAIN<>'Google.com'
5.89s 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
1.9s 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)
2.57s 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
3.83s PHOENIX-1.2.0

select count(distinct active_visitor) count from INDEXED_SALTED_TEST_TABLE
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-1.2.0

select percentile_cont(0.1) within group (order by active_visitor desc) from INDEXED_SALTED_TEST_TABLE
N/A for PHOENIX-1.2.0

select count(core), count(db), count(active_visitor) from INDEXED_SALTED_TEST_TABLE
5.29s PHOENIX-1.2.0

select count(distinct core), count(distinct db), count(distinct active_visitor) from INDEXED_SALTED_TEST_TABLE
N/A for PHOENIX-1.2.0

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 INDEXED_SALTED_TEST_TABLE
N/A for PHOENIX-1.2.0

select core, count(db) count from INDEXED_SALTED_TEST_TABLE group by CORE
3.94s PHOENIX-1.2.0

select core, count(distinct db) count from INDEXED_SALTED_TEST_TABLE group by CORE
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-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core IN (1,100)
1.44s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core IN (1,25,50,75,100)
1.48s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core < 10 and db < 200
1.81s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core < 50 and db < 1000
2.73s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core < 100 and db < 2000
4.42s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core < 10 and active_visitor < 1000
1.49s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core < 50 and active_visitor < 5000
1.55s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core < 100 and active_visitor < 10000
1.59s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core > 90
1.6s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core > 50
2.21s PHOENIX-1.2.0

select count(core) from INDEXED_SALTED_TEST_TABLE where core > 0
2.91s PHOENIX-1.2.0

LOAD DATA [4000000 ROWS]
146.15s 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')
3.46s PHOENIX-1.2.0

select count(1) from CF_TABLE_14CF where K1 in ('A', 'C')
3.3s PHOENIX-1.2.0

select count(*) from CF_TABLE_14CF where N < 1000
1.69s 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)
2.37s PHOENIX-1.2.0

select sum(a),sum(e),sum(j),sum(n) from CF_TABLE_14CF group by K1
10.2s PHOENIX-1.2.0

LOAD DATA [4000000 ROWS]
236.06s 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')
1.93s PHOENIX-1.2.0

select count(*) from SALTED_TABLE where D < 1000
0.91s PHOENIX-1.2.0

select avg(c),avg(d) from SALTED_TABLE group by K1
4.06s PHOENIX-1.2.0

LOAD DATA [4000000 ROWS]
145.66s 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')
4.43s PHOENIX-1.2.0

select count(1) from CF_TABLE_1CF where K1 in ('A', 'C')
4.34s PHOENIX-1.2.0

select count(*) from CF_TABLE_1CF where N < 1000
5.72s 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
6.88s PHOENIX-1.2.0

select sum(a),sum(e),sum(j),sum(n) from CF_TABLE_1CF group by K1
12.48s PHOENIX-1.2.0

LOAD DATA [4000000 ROWS]
198.46s PHOENIX-1.2.0



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