select arrays_overlap(array(1, 2, 3), array(3, 4, 5)) as is_overlap; +---+ |is_overlap| +---+ |true | +---+ --两个数组其中有一个存在null元素,且有重叠元素,返回true select arrays_overlap(array(1, 2, 3), array(null, 2, 6)) as is_overlap; +---+ |is_overlap|...
1. 获取Array的长度 我们可以使用size函数获取Array的长度。以下是示例代码: valresult1=spark.sql("SELECT id, size(data) as data_size FROM temp_view")result1.show() 1. 2. 2. 获取Array中的最大值 使用array_max函数可以获取Array中的最大值。以下是示例代码: valresult2=spark.sql("SELECT id, a...
使用堆外内存缓存 import com.atguigu.sparksqltuning.MemoryTuning.CoursePayimport org.apache.spark.SparkConfimport org.apache.spark.sql.SparkSessionimport org.apache.spark.storage.StorageLevelobject OFFHeapCache { def main(args: Array[String]): Unit = { val sparkConf = new SparkConf().setApp...
@transientprivate[sql]lazy val interpretedOrdering:Ordering[ArrayData]=newOrdering[ArrayData]{private[this]val elementOrdering:Ordering[Any]=elementType match{casedt:AtomicType=>dt.ordering.asInstanceOf[Ordering[Any]]casea:ArrayType=>a.interpretedOrdering.asInstanceOf[Ordering[Any]]cases:StructType=>s....
df: org.apache.spark.sql.DataFrame= [c: array<struct>, d: map<string,struct> ...2more fields] scala> df.show +---+---+---+---+ | c| d| e| f| +---+---+---+---+ |
总结一下sparksql(基于branch3.3) 中 array操作相关的骚气用法,这恐怕是总结的最全的一篇了,哈哈~~ 从源码里看到,array相关函数主要分为四类: array_funcs(一般的array函数,比如取最大、最小、包含、切片等) collection_funcs(集合类的操作,比如数组求size、反转、拼接等) ...
import org.apache.spark.sql.SparkSession val spark = SparkSession.builder() .appName("Array Example") .getOrCreate() import spark.implicits._ val data = Seq( (1, Array(1, 2, 3)), (2, Array(4, 5, 6)), (3, Array(7, 8, 9)) ...
错误在SQL语句:分析异常: [DATATYPE_MISMATCH.ARRAY_FUNCTION_DIFF_TYPESJ由于数据类型不匹配,无法解析array_append(课程、课程) select t1.name,array_append(t1.courses,t2.courses) as courses from student_copy as t1 left join ( SELECT name, courses FROM temp) as t2 on t1.name = t2.name name...
摘要:Spark SQL 问题复现 需要对Spark SQL的DataFrame的一列做groupBy聚合其他所有特征,处理方式是将其他所有特征使用function.array配合function.collect_list聚合为数组,代码如下 valjoinData=data.join(announCountData,Seq("ent_name"),"left_outer").groupBy($"ent_name").agg(collect_list(array("publish_date"...
spark.sql(“selectappopen[0]fromappopentable“) struct组合map array 结构 1.hive建表语句 droptableappopendetail;createtableifnotexistsappopendetail ( username String, appname String, opencountINT)rowformat delimited fields terminatedby'|'location'/hive/table/appopendetail';createtableifnotexistsappop...