Page 1 Integration of Apache Hive and...
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© Hortonworks Inc. 2011 Integration of Apache Hive and HBase Enis Soztutar enis [at] apache [dot] org @enissoz Page 1 Architecting the Future of Big Data
Transcript of Page 1 Integration of Apache Hive and...
© H
ort
onw
ork
s Inc. 2011
Inte
gra
tio
n o
f A
pa
ch
e H
ive
an
d H
Ba
se
En
is S
oztu
tar
en
is [a
t] a
pa
ch
e [d
ot] o
rg
@e
nis
so
z
Page 1
Arc
hitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Ag
en
da
Page 3
A
rchitecting the F
utu
re o
f B
ig D
ata
• O
ve
rvie
w o
f H
ive
an
d H
Ba
se
• H
ive
+ H
Ba
se
Fe
atu
res a
nd
Im
pro
ve
me
nts
• F
utu
re o
f H
ive
an
d H
Ba
se
• Q
&A
© H
ort
onw
ork
s Inc. 2011
Ap
ach
e H
ive
Ove
rvie
w
• A
pa
ch
e H
ive
is a
da
ta w
are
ho
use
syste
m fo
r H
ad
oo
p
• S
QL
-lik
e q
ue
ry la
ng
ua
ge
ca
lled
Hiv
eQ
L
• B
uilt
fo
r P
B s
ca
le d
ata
• M
ain
pu
rpo
se
is a
na
lysis
an
d a
d h
oc q
ue
ryin
g
• D
ata
ba
se
/ ta
ble
/ p
art
itio
n / b
ucke
t –
DD
L O
pe
ratio
ns
• S
QL T
yp
es +
Co
mp
lex T
yp
es (
AR
RA
Y, M
AP, e
tc)
• V
ery
exte
nsib
le
• N
ot fo
r : sm
all
da
ta s
ets
, lo
w la
ten
cy q
ue
rie
s, O
LT
P
Page 4
A
rch
itecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Ap
ach
e H
ive
Arc
hite
ctu
re
Page 5
A
rchitecting the F
utu
re o
f B
ig D
ata
Me
tasto
re
RD
BM
S
Hiv
e T
hrift
Se
rve
r
Dri
ve
r
CL
I
JD
BC
/OD
BC
Hiv
e W
eb
Inte
rfa
ce
HD
FS
Ma
pR
ed
uce
Exe
cu
tio
n
Pa
rse
r P
lan
ne
r
Rd
HD
FS
du
ce
d
Op
tim
ize
r
M S C l i e n t
© H
ort
onw
ork
s Inc. 2011
Ove
rvie
w o
f A
pa
ch
e H
Ba
se
• A
pa
ch
e H
Ba
se
is th
e H
ad
oo
p d
ata
ba
se
• M
od
ele
d a
fte
r G
oo
gle
’s B
igTa
ble
• A
sp
ars
e, d
istr
ibu
ted
, p
ers
iste
nt m
ulti- d
ime
nsio
na
l so
rte
d
ma
p
• T
he
ma
p is in
de
xe
d b
y a
ro
w k
ey,
co
lum
n k
ey,
an
d a
tim
esta
mp
• E
ach
va
lue
in
th
e m
ap
is a
n u
n-in
terp
rete
d a
rra
y o
f b
yte
s
• L
ow
la
ten
cy r
an
do
m d
ata
acce
ss
Page 6
A
rchitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Ove
rvie
w o
f A
pa
ch
e H
Ba
se
• L
og
ica
l vie
w:
Page 7
A
rchitecting the F
utu
re o
f B
ig D
ata
Fro
m:
Big
table
: A
Dis
trib
ute
d S
tora
ge
Syste
m fo
r S
tru
ctu
red
Da
ta, C
ha
ng, e
t a
l.
© H
ort
onw
ork
s Inc. 2011
Ap
ach
e H
Ba
se A
rch
ite
ctu
re
Page 8
A
rch
itecting the F
utu
re o
f B
ig D
ata
Clie
nt
Zo
oke
ep
er
HM
aste
r
Re
gio
n
se
rve
r
Re
gio
n
Re
gio
n
Re
gio
n
se
rve
r
Re
gio
n
Re
gio
n
Re
gio
n
se
rve
r
Re
gio
n
Re
gio
n
H
HD
FS
© H
ort
onw
ork
s Inc. 2011
Hiv
e +
HB
ase
Fe
atu
res a
nd
Imp
rove
me
nts
Arc
hitecting the F
utu
re o
f B
ig D
ata
P
age 9
© H
ort
onw
ork
s Inc. 2011
Hiv
e +
HB
ase
Mo
tiva
tio
n
• H
ive
an
d H
Ba
se
ha
s d
iffe
ren
t ch
ara
cte
ristics:
• H
ive
da
taw
are
ho
use
s o
n H
ad
oo
p a
re h
igh
la
ten
cy
– L
on
g E
TL tim
es
– A
cce
ss to
re
al tim
e d
ata
• A
na
lyzin
g H
Ba
se d
ata
with M
ap
Re
du
ce r
eq
uire
s c
usto
m
co
din
g
• H
ive
an
d S
QL a
re a
lre
ad
y k
no
wn
by m
an
y a
na
lysts
Page 1
0
Arc
hitecting the F
utu
re o
f B
ig D
ata
Hig
h la
ten
cy
vs.
Lo
w la
ten
cy
Str
uctu
red
U
nstr
uctu
red
An
aly
sts
P
rog
ram
me
rs
© H
ort
onw
ork
s Inc. 2011
Use
Ca
se
1: H
Ba
se
as E
TL D
ata
Sin
k
Page 1
1
Arc
hitecting the F
utu
re o
f B
ig D
ata
Fro
m H
UG
- H
ive
/HB
ase In
teg
ratio
n o
r, M
ayb
eS
QL?
April 2
01
0 J
oh
n S
ich
i F
ace
bo
ok
htt
p:/
/ww
w.s
lide
sh
are
.ne
t/h
ad
oo
pu
se
rgro
up/h
ive
-h-b
ase
ha
do
op
ap
r20
10
© H
ort
onw
ork
s Inc. 2011
Use
Ca
se
2: H
Ba
se
as D
ata
So
urc
e
Page 1
2
Arc
hitecting the F
utu
re o
f B
ig D
ata
Fro
m H
UG
- H
ive
/HB
ase In
teg
ratio
n o
r, M
ayb
eS
QL?
April 2
01
0 J
oh
n S
ich
i F
ace
bo
ok
htt
p:/
/ww
w.s
lide
sh
are
.ne
t/h
ad
oo
pu
se
rgro
up/h
ive
-h-b
ase
ha
do
op
ap
r20
10
© H
ort
onw
ork
s Inc. 2011
Use
Ca
se
3: L
ow
La
ten
cy W
are
ho
use
Page 1
3
Arc
hitecting the F
utu
re o
f B
ig D
ata
Fro
m H
UG
- H
ive
/HB
ase In
teg
ratio
n o
r, M
ayb
eS
QL?
April 2
01
0 J
oh
n S
ich
i F
ace
bo
ok
htt
p:/
/ww
w.s
lide
sh
are
.ne
t/h
ad
oo
pu
se
rgro
up/h
ive
-h-b
ase
ha
do
op
ap
r20
10
© H
ort
onw
ork
s Inc. 2011
Exa
mp
le: H
ive
+ H
ba
se (
HB
ase
ta
ble
)
hbase(main):001:0> create 'short_urls', {NAME =>
'u'}, {NAME=>'s'}
hbase(main):014:0> scan 'short_urls'
ROW COLUMN+CELL
bit.ly/aaaa column=s:hits, value=100
bit.ly/aaaa column=u:url,
value=hbase.apache.org/
bit.ly/abcd column=s:hits, value=123
bit.ly/abcd column=u:url,
value=example.com/foo
P
age 1
4
Arc
hitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Exa
mp
le: H
ive
+ H
Ba
se
(H
ive
ta
ble
)
CREATE TABLE short_urls(
short_url string,
url string,
hit_count int
)
STORED BY
'org.apache.hadoop.hive.hbase.HBaseStorageHandler'
WITH SERDEPROPERTIES
("hbase.columns.mapping" = ":key, u:url, s:hits")
TBLPROPERTIES
("hbase.table.name" = ”short_urls");
P
age 1
5
Arc
hitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Sto
rag
e H
an
dle
r
• H
ive
de
fin
es H
ive
Sto
rag
eH
an
dle
r cla
ss fo
r d
iffe
ren
t sto
rag
e
ba
cke
nd
s: H
Ba
se
/ C
assa
nd
ra / M
on
go
DB
/ e
tc
• S
tora
ge
Ha
nd
ler
ha
s h
oo
ks fo
r
– G
ettin
g in
pu
t / o
utp
ut fo
rma
ts
– M
eta
da
ta o
pe
ratio
ns h
oo
k: C
RE
AT
E T
AB
LE
, D
RO
P T
AB
LE
, e
tc
• S
tora
ge
Ha
nd
ler
is a
ta
ble
le
ve
l co
nce
pt
– D
oe
s n
ot su
pp
ort
Hiv
e p
art
itio
ns, a
nd
bu
cke
ts
Page 1
6
Arc
hitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Ap
ach
e H
ive
+ H
Ba
se
Arc
hite
ctu
re
Page 1
7
Arc
hitecting the F
utu
re o
f B
ig D
ata
Me
tasto
re
RD
BM
S
Hiv
e T
hrift
Se
rve
r
Dri
ve
r
CL
I H
ive
We
b
Inte
rfa
ce
HD
FS
Ma
pR
ed
uce
Exe
cu
tio
n
Pa
rse
r P
lan
ne
r
Rd
HD
FS
duce
d
Op
tim
ize
r
M S
C l i e n t
HB
ase
Sto
rag
eH
an
dle
r
B
dl
St
H
© H
ort
onw
ork
s Inc. 2011
Hiv
e +
HB
ase
In
teg
ratio
n
• F
or
Inp
ut/O
utp
utF
orm
at, g
etS
plit
s()
, e
tc u
nd
erlyin
g H
Ba
se
cla
sse
s a
re u
se
d
• C
olu
mn
se
lectio
n a
nd
ce
rta
in filt
ers
ca
n b
e p
ush
ed
do
wn
• H
Ba
se
ta
ble
s c
an
be
use
d w
ith
oth
er(
Ha
do
op
na
tive
) ta
ble
s
an
d S
QL c
on
str
ucts
• H
ive
DD
L o
pe
ratio
ns a
re c
on
ve
rte
d to
HB
ase
DD
L
op
era
tio
ns v
ia th
e c
lien
t h
oo
k.
– A
ll o
pe
ratio
ns a
re p
erf
orm
ed
by th
e c
lien
t
– N
o tw
o p
ha
se
co
mm
it
Page 1
8
Arc
hitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Sch
em
a / T
yp
e M
ap
pin
g
Arc
hitecting the F
utu
re o
f B
ig D
ata
P
age 1
9
© H
ort
onw
ork
s Inc. 2011
Sch
em
a M
ap
pin
g
• H
ive
ta
ble
+ c
olu
mn
s +
co
lum
n typ
es <
=>
HB
ase
ta
ble
+ c
olu
mn
fam
ilie
s (
+ c
olu
mn
qu
alif
iers
)
• E
ve
ry fie
ld in
Hiv
e ta
ble
is m
ap
pe
d in
ord
er
to e
ith
er
– T
he
ta
ble
ke
y (
usin
g :ke
y a
s s
ele
cto
r)
– A
co
lum
n fa
mily
(cf:)
-> M
AP
fie
lds in
Hiv
e
– A
co
lum
n (
cf:cq
)
• H
ive
ta
ble
do
es n
ot n
ee
d to
in
clu
de
all
co
lum
ns in
HB
ase
•
Page 2
0
Arc
hitecting the F
utu
re o
f B
ig D
ata
CREATE TABLE short_urls(
short_url string,
url string,
hit_count int,
props, map<string,string>
)
WITH SERDEPROPERTIES
("hbase.columns.mapping" = ":key, u:url, s:hits, p:")
int,
<st
PERT
ns
mapping"
="
,
ring
RTIES
mapping"
="
g,string>
ing"
="":key
u:url
s:hits
p:
rl
s:hit
":key
u:ur
>
":ke
© H
ort
onw
ork
s Inc. 2011
Typ
e M
ap
pin
g
• R
ece
ntly a
dd
ed
to
Hiv
e (
0.9
.0)
• P
revio
usly
all
typ
es w
ere
be
ing
co
nve
rte
d to
str
ing
s in
HB
ase
• H
ive
ha
s:
– P
rim
itiv
e typ
es: IN
T, S
TR
ING
, B
INA
RY, D
AT
E,
etc
– A
RR
AY
<Typ
e>
– M
AP
<P
rim
itiv
eTyp
e, Typ
e>
– S
TR
UC
T<
a:I
NT,
b:S
TR
ING
, c:S
TR
ING
>
• H
Ba
se
do
es n
ot
ha
ve
typ
es
– B
yte
s.to
Byte
s()
Page 2
1
Arc
hitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Typ
e M
ap
pin
g
• Ta
ble
le
ve
l p
rop
ert
y
"hbase.table.default.storage.type” = “binary”
• Typ
e m
ap
pin
g c
an
be
giv
en
pe
r co
lum
n a
fte
r #
– A
ny p
refix o
f “binary”
,
eg
u:url#b
– A
ny p
refix o
f “string”
, e
g u:url#s
– T
he
da
sh
ch
ar “-”
, e
g u:url#-
Page 2
2
CREATE TABLE short_urls(
short_url string,
url string,
hit_count int,
props, map<string,string>
)
WITH SERDEPROPERTIES
("hbase.columns.mapping" = ":key#b,u:url#b,s:hits#b,p:#s")
nt,
str
ERT
smapping"
=":
,
ring,
TIES
mapping"
=":
string>
ing"
=":
s:hits#b
p:#s"
rl#b
s:hit
#b
u:ur
:key#b
Arc
hitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Typ
e M
ap
pin
g
• If th
e typ
e is n
ot a
prim
itiv
e o
r M
ap
, it is c
on
ve
rte
d to
a J
SO
N
str
ing
an
d s
eria
lize
d
• S
till
a fe
w r
ou
gh
ed
ge
s fo
r sch
em
a a
nd
typ
e m
ap
pin
g:
– N
o H
ive
BIN
AR
Y s
up
po
rt in
HB
ase
ma
pp
ing
– N
o m
ap
pin
g o
f H
Ba
se
tim
esta
mp
(ca
n o
nly
pro
vid
e p
ut
tim
esta
mp
)
– N
o a
rbitra
ry m
ap
pin
g o
f S
tru
cts
/ A
rra
ys in
to H
Ba
se
sch
em
a P
age 2
3
Arc
hitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Bu
lk L
oa
d
• S
tep
s to
bu
lk lo
ad
:
– S
am
ple
so
urc
e d
ata
fo
r ra
ng
e p
art
itio
nin
g
– S
ave
sa
mp
ling
re
su
lts to
a file
– R
un
CL
US
TE
R B
Y q
ue
ry u
sin
g H
ive
HF
ileO
utp
utF
orm
at and
To
talO
rde
rPa
rtitio
ne
r
– Im
po
rt H
file
s in
to H
Ba
se
ta
ble
• Id
ea
l se
tup
sh
ou
ld b
e
SE
T h
ive
.hb
ase
.bu
lk=
tru
e
INS
ER
T O
VE
RW
RIT
E T
AB
LE
we
b_
tab
le S
EL
EC
T …
.
Page 2
4
Arc
hitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Filt
er
Pu
sh
do
wn
Arc
hitecting the F
utu
re o
f B
ig D
ata
P
age 2
5
© H
ort
onw
ork
s Inc. 2011
Filt
er
Pu
sh
do
wn
• Id
ea
is to
pa
ss d
ow
n filt
er
exp
ressio
ns to
th
e s
tora
ge
la
ye
r to
min
imiz
e s
ca
nn
ed
da
ta
• To
acce
ss in
de
xe
s a
t H
DF
S o
r H
Ba
se
• E
xa
mp
le:
CREATE EXTERNAL TABLE users (userid LONG, email STRING, … )
STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler’
WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,…")
SELECT ... FROM users WHERE userid > 1000000 and email LIKE
‘%@gmail.com’;
-> scan.setStartRow(Bytes.toBytes(1000000))
Page 2
6
Arc
hitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Filt
er
De
co
mp
ositio
n
• O
ptim
ize
r p
ush
es d
ow
n th
e p
red
ica
tes to
th
e q
ue
ry p
lan
• S
tora
ge
ha
nd
lers
ca
n n
eg
otia
te w
ith
th
e H
ive
op
tim
ize
r to
de
co
mp
ose
th
e filt
er
x > 3 AND upper(y) = 'XYZ’
• H
an
dle
x > 3
, se
nd upper(y) = ’XYZ’
as r
esid
ua
l fo
r H
ive
• W
ork
s w
ith
:
key = 3, key > 3
, e
tc
key > 3 AND key < 100
• O
nly
wo
rks a
ga
inst co
nsta
nt e
xp
ressio
ns
Page 2
7
Arc
hitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Se
cu
rity
Asp
ects
To
wa
rds fu
lly s
ecu
re d
ep
loym
en
ts
Arc
hitecting the F
utu
re o
f B
ig D
ata
P
age 2
8
© H
ort
onw
ork
s Inc. 2011
Se
cu
rity
– B
ig P
ictu
re
• S
ecu
rity
be
co
me
s m
ore
im
po
rta
nt to
su
pp
ort
en
terp
rise
le
ve
l a
nd
mu
lti te
na
nt a
pp
lica
tio
ns
• 5
Diffe
ren
t C
om
po
ne
nts
to
en
su
re / im
po
se
se
cu
rity
– H
DF
S
– M
ap
Re
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– H
Ba
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– Z
oo
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ep
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– H
ive
• E
ach
co
mp
on
en
t h
as:
– A
uth
en
tica
tio
n
– A
uth
oriza
tio
n
Page 2
9
Arc
hitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
HB
ase
Se
cu
rity
– C
lose
r lo
ok
• R
ele
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d w
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HB
ase
0.9
2
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ully
op
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n u
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En
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SL
au
the
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s
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ke
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CL d
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au
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zk
Page 3
0
Arc
hitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Hiv
e S
ecu
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– C
lose
r lo
ok
• H
ive
ha
s d
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ren
t d
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loym
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t o
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ns, se
cu
rity
co
nsid
era
tio
ns
sh
ou
ld ta
ke
in
to a
cco
un
t d
iffe
ren
t d
ep
loym
en
ts
• A
uth
en
tica
tio
n is o
nly
su
pp
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ed
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eta
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re, not on
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terf
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nfo
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ga
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ROLE db_reader
Page 3
1
Arc
hitecting the F
utu
re o
f B
ig D
ata
© H
ort
onw
ork
s Inc. 2011
Hiv
e D
ep
loym
en
t O
ptio
n 1
Page 3
2
Arc
hitecting the F
utu
re o
f B
ig D
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Clie
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M
eta
sto
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DB
MS
Drive
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MA
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HB
ase
A/A
M S
C
l i e n t
A/A
© H
ort
onw
ork
s Inc. 2011
Hiv
e D
ep
loym
en
t O
ptio
n 2
Page 3
3
Arc
hitecting the F
utu
re o
f B
ig D
ata
Clie
nt
Me
tasto
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R
DB
MS
Drive
r
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I
HD
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Ma
pR
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cu
tio
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lan
ne
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tim
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the
ntica
tio
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tho
riza
tio
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A1
2n
/A11
N
A1
2n
/A11
N
M S
C l i e n t
HB
ase
A/A
A
/A
© H
ort
onw
ork
s Inc. 2011
Hiv
e D
ep
loym
en
t O
ptio
n 3
Page 3
4
Arc
hitecting the F
utu
re o
f B
ig D
ata
Clie
nt
Me
tasto
re
RD
BM
S
Hiv
e T
hrift
Se
rve
r
Drive
r CL
I
JD
BC
/OD
BC
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FS
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cu
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lan
ne
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tim
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t
Au
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tho
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2n
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2n
/A11
N
M S
C
l i e
n t
HB
ase
A/A
A
/A
© H
ort
onw
ork
s Inc. 2011
Hiv
e +
HB
ase
+ H
ad
oo
p S
ecu
rity
• R
eg
ard
less o
f H
ive
’s o
wn
se
cu
rity
, fo
r H
ive
to
wo
rk o
n
se
cu
re H
ad
oo
p a
nd
HB
ase
, w
e s
ho
uld
:
– O
bta
in d
ele
ga
tio
n to
ke
ns fo
r H
ad
oo
p a
nd H
Ba
se jo
bs
– E
nsu
re to
ob
ey th
e s
tora
ge
le
ve
l (H
DF
S, H
Ba
se
) p
erm
issio
n c
he
cks
– In
Hiv
eS
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er
de
plo
ym
en
ts, a
uth
en
tica
te a
nd
im
pe
rso
na
te th
e u
se
r
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ga
tio
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ns fo
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ad
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p a
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ork
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bta
inin
g H
Ba
se
de
leg
atio
n to
ke
ns a
re r
ele
ase
d in
Hiv
e
0.9
.0
Page 3
5
Arc
hitecting the F
utu
re o
f B
ig D
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© H
ort
onw
ork
s Inc. 2011
Fu
ture
of H
ive
+ H
Ba
se
• Im
pro
ve
on
sch
em
a / typ
e m
ap
pin
g
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ully
se
cu
re H
ive
de
plo
ym
en
t o
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• H
Ba
se
bu
lk im
po
rt im
pro
ve
me
nts
• S
ort
ab
le s
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nu
me
ric typ
es in
HB
ase
• F
ilte
r p
ush
do
wn
: n
on
ke
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mn
filt
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• H
ive
ra
nd
om
acce
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up
po
rt fo
r H
Ba
se
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ttp
s://c
wik
i.a
pa
ch
e.o
rg/H
CA
TA
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G/r
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Page 3
6
Arc
hitecting the F
utu
re o
f B
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© H
ort
onw
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s Inc. 2011
Re
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s
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P
age 3
7
Arc
hitecting the F
utu
re o
f B
ig D
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Oth
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Re
so
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Page 3
8
© H
ort
onw
ork
s Inc. 2012
• H
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dia
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A
– h
ttp
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ort
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wo
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om
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inin
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© H
ort
onw
ork
s Inc. 2011
Th
an
ks
Qu
estio
ns?
Arc
hitecting the F
utu
re o
f B
ig D
ata
P
age 3
9
