df=spark.read.json("./test/data/hello_samshare.json")df.show(5)df.printSchema() 5. 通过读取数据库来创建 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #5.1读取hive数据 spark.sql("CREATE TABLE IF NOT EXISTS src (key INT, value
spark.sql(""" CREATE TABLE IF NOT EXISTS ods_sgd_project_operating_plan_info_tmp ( project_no string , sale_order_no string , customer_name string , unoperating_amt decimal(19,2) , expected_operating_time string , operating_amt decimal(19,2) , operating_progress_track string , is_Suppl...
pyspark.errors.exceptions.captured.AnalysisException: [TEMP_TABLE_OR_VIEW_ALREADY_EXISTS] Cannot create the temporary view `ldsx` because it already exists.Choose a different name, drop or replace the existing view, or add the IF NOT EXISTS clause to tolerate pre-existing views.#查询时需要使用...
TBLPROPERTIES ('parquet.compression'='SNAPPY');-- 使用gzipCREATETABLEifnotexistsods.table_test( id string, open_time string ) COMMENT'测试'PARTITIONEDBY(`dt` string COMMENT'按天分区')rowformat delimited fields terminatedby'\001'STOREDASPARQUET TBLPROPERTIES ('parquet.compression'='GZIP');-- 使用...
spark.sql("CREATE TABLE IF NOT EXISTS test (id INT, name STRING, age INT, sal FLOAT) USING hive") spark.sql("LOAD DATA LOCAL INPATH 'data/test.txt' INTO TABLE test") df = spark.sql("SELECT * FROM test") 1. 2. 3. 三、保存DataFrame 通过df.write()对DataFrame进行保存。 #保存为...
it can read the underlying existing schema if existsinfer_schema="False"#You can toggle this option to True or False depending on whether you have header in your file or notfirst_row_is_header="True"# This is the delimiter that is in your data filedelimiter="|"# Bringing all the option...
sparkSession = SparkSession.builder.appName("datasource-rds").getOrCreate() # Createa data table for DLI - associated RDS sparkSession.sql( "CREATE TABLE IF NOT EXISTS dli_to_rds USING JDBC OPTIONS (\ 'url'='jdbc:mysql://to-rds-1174404952-ZgPo1nNC.datasource.com:3306',\ 'dbtable'=...
from pyspark.sql import SparkSession spark = SparkSession.builder \ .appName("HiveTableCheck") \ .enableHiveSupport() \ .getOrCreate() 然后,使用SparkSession的catalog属性来访问Hive的元数据信息。可以使用tableExists方法来检查表是否存在。以下是一个示例代码: 代码语言:txt 复制 database_name = "yo...
1. 查 1.1 行元素查询操作 像SQL那样打印列表前20元素,show函数内可用int类型指定要打印的行数: 1 2 df.show() df.show(30) 以树的形式打印概要: 1 df.printSchema() 获取头几行到本地: 1 2 list=df.head(3)# Example: [Row(a=1, b=1), Row(a=2, b=2), ... ...] ...
sparkSession = SparkSession.builder.appName("datasource-dws").getOrCreate() # Createa data table for DLI - associated DWS sparkSession.sql( "CREATE TABLE IF NOT EXISTS dli_to_dws USING JDBC OPTIONS (\ 'url'='jdbc:postgresql://to-dws-1174404951-W8W4cW8I.datasource.com:8000/postgres',\...