当深入探究 Spark 调优之道时,可将其细分为三个关键板块:其一便是作业优化,涵盖 SQL、Jar 包以及 PySpark 等维度;其二为平台优化,涉及参数调优以精细调控资源分配、提升资源利用率,保障作业在复杂环境下稳定运行;其三是底层优化,像 AQE(自适应查询执行)、DPP(动态分区裁剪)、全代码生成以及向量化 等前沿技术,从底层架构
[SPARK-48863][SQL] 修正了在啟用 “spark.sql.json.enablePartialResults” 時剖析 JSON 出現的 ClassCastException 錯誤。 [SPARK-50310][PYTHON] 新增旗標以停用 PySpark 的 DataFrameQueryContext [15.3-15.4] [SPARK-50034][CORE] 修正將致命錯誤錯誤報告為未捕捉的異常的問題在 SparkUncaughtExceptionHandler 中...
新增mapInPandas 以允許 DataFrames 的迭代器 (SPARK-28198) 某些SQL 函式也應該採用資料行名稱(SPARK-26979) 讓PySpark SQL 例外狀況更具 Pythonic (SPARK-31849) 檔和測試涵蓋範圍增強功能 建置SQL 參考 (SPARK-28588) 建置WebUI 的使用者指南 (SPARK-28372) 建置SQL 組態檔的頁面 (SPARK-30510) 新增Spark ...
The following example shows how to use theStartJobRunAPI to run a Python script. For an end-to-end tutorial that uses this example, seeGetting started with Amazon EMR Serverless. You can find additional examples of how to run PySpark jobs and add Python dependencies in theEMR Serverless Sampl...
尝试在SparkConf中设置spark.driver.host属性，如下所示：pythonCopy codeconf = SparkConf().setMaster("local[*]").setAppName("test_spark_app") \.set("spark.driver.host", "127.0.0.1")这将指示Spark驱动程序使用指定的IP地址作为其主机名，可以尝试设置为本地IP地址。尝试删除.pycache...
from pyspark.sql import SparkSessionspark = SparkSession.builder \ .master("local[1]") \ .appName("SparkByExamples.com") \ .getOrCreate() Got errors like this: /opt/spark/bin/spark-class: line 71: /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java: No such fi...
import sys from awsglue.transforms import * from awsglue.utils import getResolvedOptions from pyspark.context import SparkContext from awsglue.context import GlueContext from awsglue.job import Job from pyspark.sql.types import * from pyspark.sql.functions import udf,col args = getResolvedOptions(sys...
In the notebook, run the following code importfindsparkfindspark.init()importpyspark# only run after findspark.init()frompyspark.sqlimportSparkSessionspark=SparkSession.builder.getOrCreate()df=spark.sql('''select 'spark' as hello ''')df.show() ...
pandasql==0.7.3pandocfilters==1.5.0pathspec==0.8.1pkgutil-resolve-name==1.3.10platformdirs==2.5.2prettytable==2.4.0prometheus-client==0.14.1pyperclip==1.8.2pyrsistent==0.18.1pyspark==3.1.2ruamel-yaml==0.17.4ruamel-yaml-clib==0.2.6secretstorage==3.3.1...
[SPARK-26856][PYSPARK] from_avro ve to_avro API'leri için Python desteği [SPARK-26870][SQL] Java uyumluluğu nedeniyle to_avro/from_avro işlevler nesnesine taşıma [SPARK-26812][SQL] Union'da karmaşık veri türleri için doğru null atanabilirliği bildirin [SP...