►
From YouTube: NebulaGraph Playground/Studio Quick Start
Description
Nebula Studio is a much easier way to access graph data in a visualized way. And Nebula Playground is the online service to enable everyone to use Nebula Studio in no time with one click. Check more info: https://nebula-graph.io/demo/playground-basketball-player/
Welcome to join our slack to discuss with others: nebulagraph.slack.com
===============================================================================
0:00 Intro
0:38 What is it like to query data from Playground for the first time?
5:08 Can graph data only be queried based on the known vertex ID?
6:52 Some studio tips for the fresh users
A
So
highway
hi
lisa
hi
everyone
yeah
for
many
approach
users.
It
would
be
a
more
easier
way
to
access
graph
data
in
a
visualize.
The
way
and
level
studio
can
be
the
best
one
for
this,
and
it
is
the
online
service
to
enable
everyone
to
use
nebula
studio
in
no
time
with
one
click.
So
wait.
Can
you
show
us?
What's
it
like
to
query
data
from
playground.
B
For
the
first
time
sure
lisa
so
playground,
as
lisa
mentioned
it's
online
service
that
you
can
get
get
access
to
the
online
studio
without
any
credential
or
deployment.
There
are
a
couple
of
different
playground
with
different
data
or
different
front-end,
and
they
are
all
under
our
enable
graph
website
of
the
naval
graph
dot
io,
slash
demo,
and
today
we
are
going
to
focus
on
the
basketball
player
teams
one.
Now
there
are
two
button
of
this
demo.
B
One
is
introduction
and
the
other
is
the
playground
itself
and
I
highly
recommend
you
to
quickly
go
through
the
introduction
that
I
will
omit
here.
So
we'll
go
to
the
playground
demo
by
clicking
the
demo.
So
now
we
are
in
playground
for
nabla
graph
studio
what
we
can
do
next.
There
are
four
tabs
here.
So
there
are
schema,
import,
explorer
and
console
in
schema
tab.
You
will
know
the
data
schema
or
even
create
that
schema
here,
but
please
note
that
this
playground
is
read
only.
B
You
cannot
create
a
new
schema
here,
but
you
can
see
what's
inside,
of
this
data
set
and
let's
focus
on
explore
first
at
the
first
time,
so
we
can
start
with
the
vertexes,
and
I
already
know-
or
if
you
have
checked
the
article
of
the
introduction
of
this
data
set,
we
can
go
from
two
players
in
this
data
set.
They
are
idr,
player100
and
player121.
B
I
want
to
know
names
and
the
age,
and
the
teams
also
want
to
know
names,
and
you
will
want
to
show
the
ad
types
and
some
like
follow
degree
and
the
start
and
end
year
of
the
serve
edge
and
what's
next,
you
can
give
a
different
color
like
green
duncan
in
blue,
yes,
and
you
can
double
click
and
what
does
that
mean?
Double
click
means
you
want
to
expand
this
node
and
by
default
in
the
expand
panel,
is
listed
all
types
of
edges
and
direction
by
default
in
outgoing.
B
So
we
can
choose
to
buy
direction
and
we
can
select
different
steps,
so
we
just
leave
it
as
one
step,
so
we
can
select
the
team
duncan
and
click
expand,
so
it's
equivalent
to
double
click,
so
you
can
see
more
connections
between
them,
but
what's
next
you
can
find
all
the
connection
between
the
two.
So
what
can
that
be
done?
It
can
be
done
with
the
all
paths
algorithm,
so
we
can
play
for
100
and
the
player
101
here
with
all
relations
with
bi
direction.
No
limitations
query
window
boom.
B
B
So
this
is
the
first
one
you
start
with,
and
after
learning
everything
in
this
learning
path,
you
will
have
the
basic
concept
of
the
graph,
the
graph
database,
the
network
graph,
and
you
can
even
follow
its
process
to
deploy
your
very
first
cluster.
And
after
that
I
recommend
you
to
go
through
the
quick
start.
Ngql
cheat
sheet,
which
is
the
ngql,
stands
for
nebulograph,
query
language,
and
in
this
cheat
sheet
you
can
select
many
queries
of
them.
B
A
B
B
That's
a
good
question:
it's
a
very,
very
good
question.
Actually
fetching
data
based
on
known
vertex
is
the
most
typical
of
the
graph
query,
but
never
graph
is
more
than
that
pattern.
You
can
actually
find
certain
nodes
or
vertexes
or
edges
based
on
its
property.
So
that's
something
called
index.
The
index
is
quite
similar
to
what
we
have
in
the
relational
database,
so
actually
in
the
basketball
player
playground
index
on
top
of
the
player
field
is
already
created,
and
you
can
use
that
like
this.
But
before
that
I
want
to
clean
all
data.
B
I
will
go
with
the
index
and
here
the
index
is
on
tag
player.
I
will
select
the
player
name,
so
you
can
see
here.
You
can
specify
the
index
filtering
conditions
here.
I
will
go
with
the
player
whose
name
equals
to
xiaomi,
and
I
will
go
and
before
the
query
you
will
see
underline
is
another
lookup
query
and
you
will
boom
have
the
result.
B
Only
by
knowing
its
properties,
conditions
and
index.
Query
are
more
than
equal.
You
can
do
more
of
that
and
you
can
check
on
the
cheat
sheet
here
and
make
the
query
on
the
console
here
and
after
you
query
the
results.
You
can
view
the
data
by
click
the
this
button
and
the
data
can
be
rendered
in
in
your
graph
view,
and
I
hope
that
answers
your
question.
Lisa.
B
Users,
there
are
a
couple
of
tips
I
want
to
share
here.
You
will
also
explore
it
from
the
cheat
sheet
or
documentation
itself.
One
of
them
is
sub
graph.
That's
a
new
query.
I
didn't
show
you
before,
but
we
can
go
with
the
sub
graph.
We
can
find
one
of
them
from
the
example
in
cheat
sheet,
and
here
you
will
go
with
from
this
user.
B
This
player
from
three
steps:
query
boom.
You
have
explore
the
edges
and
and
the
vertexes
from
this
point,
and
then
you
can
view
this
sub
graph.
I
will
use
incrementally
okay,
it
will
be
all
rendered
in
this
view.
That's
the
first
team
that
I
want
to
share
another
one
is
that
you
can
remember
that
we
are
a
demo
to
you
that
you
can
query
by
index,
but
for
now
still
the
only
support
query
by
the
tag
index,
for
we
can
still
do
the
index
on
top
of
the
edge
index.