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from
__future__
import
annotations
import
os
import
pathlib
import
tempfile
import
warnings
import
pytest
from
pyspark
.
sql
import
SparkSession
from
pyspark
.
version
import
__version__
from
graphframes
import
GraphFrame
if
__version__
[:
3
]
>=
"3.4"
:
from
pyspark
.
sql
.
utils
import
is_remote
else
:
def
is_remote
()
->
bool
:
return
False
spark_major_version
=
__version__
[:
1
]
scala_version
=
os
.
environ
.
get
(
"SCALA_VERSION"
,
"2.12"
if
__version__
<
"4"
else
"2.13"
)
is_thin_client
=
os
.
environ
.
get
(
"SPARK_CLIENT_MODE_ENABLED"
,
None
)
is
not
None
def
get_gf_jar_locations
()
->
tuple
[
str
,
str
,
str
]:
"""
Returns a location of the GraphFrames JAR and GraphFrames Connect JAR.
In the case your version of PySpark is not compatible with the version of GraphFrames,
this function will raise an exception!
"""
if
is_thin_client
:
return
""
,
""
,
""
project_root
=
pathlib
.
Path
(
__file__
).
parent
.
parent
.
parent
graphx_dir
=
project_root
/
"graphx"
/
"target"
/
f"scala-
{
scala_version
}
"
core_dir
=
project_root
/
"core"
/
"target"
/
f"scala-
{
scala_version
}
"
connect_dir
=
project_root
/
"connect"
/
"target"
/
f"scala-
{
scala_version
}
"
graphx_jar
:
str
|
None
=
None
core_jar
:
str
|
None
=
None
connect_jar
:
str
|
None
=
None
for
pp
in
graphx_dir
.
glob
(
f"graphframes-graphx-spark
{
spark_major_version
}
*.jar"
):
assert
isinstance
(
pp
,
pathlib
.
PosixPath
)
# type checking
graphx_jar
=
str
(
pp
.
absolute
())
if
graphx_jar
is
None
:
raise
ValueError
(
f"Failed to find graphframes jar for Spark
{
spark_major_version
}
in
{
graphx_dir
}
"
)
for
pp
in
core_dir
.
glob
(
f"graphframes-spark
{
spark_major_version
}
*.jar"
):
assert
isinstance
(
pp
,
pathlib
.
PosixPath
)
# type checking
core_jar
=
str
(
pp
.
absolute
())
if
core_jar
is
None
:
raise
ValueError
(
f"Failed to find graphframes jar for Spark
{
spark_major_version
}
in
{
core_dir
}
"
)
for
pp
in
connect_dir
.
glob
(
f"graphframes-connect-spark
{
spark_major_version
}
*.jar"
):
assert
isinstance
(
pp
,
pathlib
.
PosixPath
)
# type checking
connect_jar
=
str
(
pp
.
absolute
())
if
connect_jar
is
None
:
raise
ValueError
(
f"Failed to find graphframes connect jar for Spark
{
spark_major_version
}
in
{
connect_dir
}
"
)
return
core_jar
,
connect_jar
,
graphx_jar
@
pytest
.
fixture
(
scope
=
"module"
)
def
spark
():
warnings
.
filterwarnings
(
"ignore"
,
category
=
ResourceWarning
)
warnings
.
filterwarnings
(
"ignore"
,
category
=
DeprecationWarning
)
(
core_jar
,
connect_jar
,
graphx_jar
)
=
get_gf_jar_locations
()
with
tempfile
.
TemporaryDirectory
()
as
tmp_dir
:
if
is_thin_client
:
spark
=
(
SparkSession
.
Builder
()
.
appName
(
"GraphFramesTest"
)
.
config
(
"spark.sql.shuffle.partitions"
,
4
)
.
remote
(
"sc://localhost:15002"
)
.
getOrCreate
()
)
yield
spark
else
:
builder
=
(
SparkSession
.
Builder
()
.
appName
(
"GraphFramesTest"
)
.
config
(
"spark.sql.shuffle.partitions"
,
4
)
.
config
(
"spark.checkpoint.dir"
,
tmp_dir
)
.
config
(
"spark.jars"
,
f"
{
core_jar
}
,
{
connect_jar
}
,
{
graphx_jar
}
"
)
.
config
(
"spark.driver.memory"
,
"6g"
)
)
if
spark_major_version
==
"3"
:
# Spark 3 does not include connect by default
builder
=
builder
.
config
(
"spark.jars.packages"
,
f"org.apache.spark:spark-connect_
{
scala_version
}
:
{
__version__
}
"
,
)
if
is_remote
():
builder
=
builder
.
remote
(
"local[4]"
).
config
(
"spark.connect.extensions.relation.classes"
,
"org.apache.spark.sql.graphframes.GraphFramesConnect"
,
)
else
:
builder
=
builder
.
master
(
"local[4]"
)
spark
=
builder
.
getOrCreate
()
yield
spark
spark
.
stop
()
@
pytest
.
fixture
(
scope
=
"module"
)
def
local_g
(
spark
:
SparkSession
):
localVertices
=
[(
1
,
"A"
), (
2
,
"B"
), (
3
,
"C"
)]
localEdges
=
[(
1
,
2
,
"love"
), (
2
,
1
,
"hate"
), (
2
,
3
,
"follow"
)]
v
=
spark
.
createDataFrame
(
localVertices
, [
"id"
,
"name"
])
e
=
spark
.
createDataFrame
(
localEdges
, [
"src"
,
"dst"
,
"action"
])
yield
GraphFrame
(
v
,
e
)
@
pytest
.
fixture
(
scope
=
"module"
)
def
examples
(
spark
:
SparkSession
):
if
is_remote
():
# TODO: We should update tests to be able to run all of them on Spark Connect
# At the moment the problem is that examples API is py4j based.
yield
None
else
:
from
graphframes
.
classic
.
graphframe
import
_java_api
japi
=
_java_api
(
spark
.
_sc
)
assert
japi
is
not
None
examples
=
japi
.
examples
()
assert
examples
is
not
None
from
py4j
.
java_gateway
import
JavaObject
assert
isinstance
(
examples
,
JavaObject
)
yield
examples
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