"스파크 설치"의 두 판 사이의 차이
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(→PySpark 설치 (pip 이용)) |
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1번째 줄: | 1번째 줄: | ||
== PySpark 설치 (pip 이용) == | == PySpark 설치 (pip 이용) == | ||
− | + | <source lang=shell> | |
pip install pyspark | pip install pyspark | ||
</source> | </source> | ||
Set the necessary environment variables. PySpark needs to know the path to your Java installation. | Set the necessary environment variables. PySpark needs to know the path to your Java installation. | ||
− | + | === Linux or macOS 에서 설치 === | |
− | |||
<source lang=shell> | <source lang=shell> | ||
export JAVA_HOME=<path_to_java> | export JAVA_HOME=<path_to_java> | ||
17번째 줄: | 16번째 줄: | ||
/usr/libexec/java_home | /usr/libexec/java_home | ||
</source> | </source> | ||
− | |||
− | + | === Windows 에서 설치 === | |
<source lang=shell> | <source lang=shell> | ||
$env:JAVA_HOME = "<path_to_java>" | $env:JAVA_HOME = "<path_to_java>" | ||
26번째 줄: | 24번째 줄: | ||
$env:PYSPARK_DRIVER_PYTHON = "python3" | $env:PYSPARK_DRIVER_PYTHON = "python3" | ||
</source> | </source> | ||
− | |||
Replace <path_to_java> with the actual path to your Java installation. | Replace <path_to_java> with the actual path to your Java installation. | ||
− | + | === PySpark 설치 후 테스트 === | |
Create a new Python script or open an interactive Python shell, and run the following code: | Create a new Python script or open an interactive Python shell, and run the following code: | ||
2023년 3월 23일 (목) 14:45 판
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1 PySpark 설치 (pip 이용)[편집]
pip install pyspark
Set the necessary environment variables. PySpark needs to know the path to your Java installation.
1.1 Linux or macOS 에서 설치[편집]
export JAVA_HOME=<path_to_java>
export SPARK_HOME=$(python -c "import site; print(site.getsitepackages()[0])")/pyspark
export PYSPARK_PYTHON=python3
export PYSPARK_DRIVER_PYTHON=python3
Replace <path_to_java> with the actual path to your Java installation. You can find it using the following command:
/usr/libexec/java_home
1.2 Windows 에서 설치[편집]
$env:JAVA_HOME = "<path_to_java>"
$env:SPARK_HOME = (python -c "import site; print(site.getsitepackages()[0])") + "\pyspark"
$env:PYSPARK_PYTHON = "python3"
$env:PYSPARK_DRIVER_PYTHON = "python3"
Replace <path_to_java> with the actual path to your Java installation.
1.3 PySpark 설치 후 테스트[편집]
Create a new Python script or open an interactive Python shell, and run the following code:
from pyspark.sql import SparkSession
spark = SparkSession.builder \
.appName("PySpark Test") \
.getOrCreate()
data = [("Alice", 1), ("Bob", 2), ("Cathy", 3)]
columns = ["Name", "ID"]
df = spark.createDataFrame(data, columns)
df.show()
If the installation is successful, you will see the DataFrame displayed as output.
(Optional) Install additional packages: You may need additional packages for your PySpark projects, such as pandas, numpy, or matplotlib. Install them using pip:
pip install pandas numpy matplotlib
With PySpark installed, you can now start working on your data processing and machine learning projects.