接下来,创建一个SQL查询文件query.sql,例如内容如下: AI检测代码解析 -- query.sqlSELECTname,ageFROMusersWHEREage>:min_age; 1. 2. 3. 4. 在这个查询中,:min_age是一个参数占位符,我们将在PySpark中传递它的值。 2. PySpark运行SQL文件 为了运行SQL文件并传递参数,我们需要通过PySpark读取SQL文件的内容,...
frompyspark.sqlimportSparkSession# 创建 SparkSessionspark=SparkSession.builder \.appName("SparkSQL Example")\.getOrCreate() 1. 2. 3. 4. 5. 6. 4. 使用 SparkSQL 执行查询 读取SQL 文件后,我们可以使用spark.sql()方法执行 SQL 查询。 # 读取 SQL 文件withopen('query.sql','r')asfile:query=...
from pyspark.sql import SparkSession spark = SparkSession \ .builder \ .appName("Python Spark SQL basic example") \ .config("spark.some.config.option", "some-value") \ .getOrCreate() 使用SparkSession,应用程序可以从现有的RDD、Hive表或Spark数据源中创建DataFrames。 1.1.1 通过json文件创建Data...
from pyspark.sql.datasource import DataSource, DataSourceReader from pyspark.sql.types import StructType class FakeDataSource(DataSource): """ An example data source for batch query using the `faker` library. """ @classmethod def name(cls): return "fake" def schema(self): return "name stri...
setAppName("sparkAppExample") sc = SparkContext(conf=conf) Spark DataFrame 代码语言:javascript 代码运行次数:0 运行 AI代码解释 from pyspark.sql import SparkSession spark = SparkSession.builder \ .master("local") \ .appName("Word Count") \ .config("spark.some.config.option", "some-value"...
sql(sql_hive_insert) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 DataFrame[] 读取hive表 代码语言:javascript 代码运行次数:0 运行 AI代码解释 sql_hive_query = ''' select id ,dtype ,cnt from temp.hive_mysql ''' df = spark.sql(sql_hive_query).toPandas() df.head() id dtype...
query='select x1,x2 from table where x3>20' df_2=spark.sql(query) #查询所得的df_2是一个DataFrame对象 4、数据可视化(绘图) spark中的数据可视化有三种方式,(1)自带的绘图函数,(2)转成Pandas对象绘图,(3)转成Handy绘图 #( 1)自带的绘图函数test_df=spark.read.csv("test.csv",header=True,infer...
I have written a pyspark.sql query as shown below. I would like the query results to be sent to a textfile but I get the error: AttributeError: 'DataFrame' object has no attribute 'saveAsTextFile' Can someone take a look at the code and let me know where I'm going wron...
from pyspark.sql.functions import col df_that_one_customer = df_customer.filter(col("c_custkey") == 412449) To filter on multiple conditions, use logical operators. For example, & and | enable you to AND and OR conditions, respectively. The following example filters rows where the c_nati...
sqlsparkprestohivestoragejdbcrest-apiengineimpalapysparkudfthrift-serverresource-managerjobserverapplication-managerlivyhive-tablelinkiscontext-servicescriptis UpdatedApr 11, 2025 Java AlexIoannides/pyspark-example-project Star1.9k Implementing best practices for PySpark ETL jobs and applications. ...