SparkSQL 是 Apache Spark 提供的一种用于执行结构化数据查询的语言,它能够处理大规模数据的转化和分析。SparkSQL 的核心部分是 DataFrame 和 Dataset API,它们可以轻松地处理各种数据类型。在本文中,我们将深入探讨 SparkSQL 中两个 Decimal 类型相乘的过程,包括背景知识、示例代码、以及使用 Mermaid 创建的甘特图来展...
val conf: SparkConf = new SparkConf().setMaster("local[*]").setAppName("SparkSQL01_Demo") //创建SparkSession对象 val spark: SparkSession = SparkSession.builder().config(conf).getOrCreate() //RDD=>DataFrame=>DataSet转换需要引入隐式转换规则,否则无法转换 //spark不是包名,也不是类名,是上...
如果Spark SQL要以Parquet输出并且结果会被不支持新格式的其他系统使用的话,需要设置为true。 比如,对于decimal数据类型的兼容处理,不设置true时,经常会报类似如下的错误: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, l...
这可能是因为spark和Scala之间的BigDecimal不兼容。您可能希望将其更改为Double并尝试。
这可能是因为spark和Scala之间的BigDecimal不兼容。您可能希望将其更改为Double并尝试。
Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 4) (10.20.192.76 executor 0): org.apache.spark.SparkException: [INTERNAL_ERROR] Negative scale is not allowed: -1. Set the config "spark.sql.legacy.allowNegativeScaleOfDecimal" to "true" to allo...
spark.sql("select CAST(amt_double AS DECIMAL(3,3)) AS dec_col from dec_table").show() Solution This is a known issue and can be safely ignored. The error message does not halt the notebook run and it should not result in any data loss....
Currently I am either using pyspark or when I am in-process use duckdb (requires duckdb+pyarrow which is quite big) for rounding and going back to polars. Question Is there any roadmap for theDecimaltype? I remember long ago that someone said "once 1.0 is there we focus on those things...
spark.sql("select CAST(amt_double AS DECIMAL(3,3)) AS dec_col from dec_table").show() Solution This is a known issue and can be safely ignored. The error message does not halt the notebook run and it should not result in any data loss....
I am using Spark 1.6.1 with Scala 2.10.5 built in. I am examining some weather data for which sometimes I have decimal values. Here is the code: val sqlContext = new org.apache.spark.sql.SQLContext(sc) import sqlContext.implicits._ import org.apache.spark.sql.Row import org.ap...