TungstenAggregate(key=[name#0], functions=[(sum(cast(age#1 as bigint)),mode=Final,isDistinct=false)], output=[name#0,_c1#14L]) TungstenAggregate(key=[name#0], functions=[(sum(cast(age#1 as bigint)),mode=Partial,isDistinct=false)], output=[name#0,currentSum#17L]) Filter ((age#...
SELECT CONCAT('Here are the first ',CAST(10 AS STRING),' results.'); CREATE TABLE t1 (name STRING, x STRING, y STRING, z STRING); CREATE TABLE t2 STORED AS PARQUET AS SELECT name, CAST(x AS BIGINT) x, CAST(y AS TIMESTAMP) y, CAST(z AS SMALLINT) z FROM t1; 1. 2. 3. ...
在Hive中, boolean类型的隐式转化,Hive中非boolean非null转化默认为True,而在SparkSQL中，则根据传入的不同数据类型判断值后返回结果.Hive Converts the results of the expression expr to . For example,cast(‘1’ as BIGINT) will convert the string ‘1’ to its integral representation.A nul...
spark.sql("select name from people where age >= 20")analyzed:Project[name#6]+-Filter(age#7L>=cast(20asbigint))+-SubqueryAlias`people`+-Project[name#3ASname#6,age#4LASage#7L]+-SerializeFromObject[staticinvoke(classorg.apache.spark.unsafe.types.UTF8String,StringType,fromString,assertnotnu...
val people = sc.textFile("/examples/src/main/resources/people.txt").map(_.split(",")).map(p => Person(p(0), p(1).trim.toInt)).toDF() people.registerTempTable("people") // SQL statements can be run by using the sql methods provided by sqlContext. ...
cast(18 as bigint) -->18 经过上述步骤, SparkSQL 逻辑算子树生成、分析与优化的整个阶段都执行完毕 。 最终生成的逻辑算子树包含 Relation 节点、 Filter 节点和 Project 节点 ,同时每个节点中又包含了由对应表达式构成的树。 综上,optimizer整个流程阅读完毕。Optimizer优化还有很多细节地方值得我们去细细的阅读,...
select dayofyear(current_date) as days,weekofyear(current_date) as weeks; --- 获取当前时间的年月日 时分秒 ; select from_unixtime(CAST(current_timestamp() AS BIGINT), 'yyyy-MM-dd HH:mm:ss') as ymd1 , from_unixtime(CAST(current_time...
==Optimized Logical Plan==Aggregate[sum(cast(v#16as bigint))ASsum(v)#22L]+-Project[(3+value#1)AS v#16]+-Join Inner,(id#0=id#8):-Project[id#0,value#1]:+-Filter(((isnotnull(cid#2)&&isnotnull(did#3))&&(cid#2=1))&&(did#3=2))&&(id#0>5))&&isnotnull(id#0)):+-Rela...
aggregateExpressions: 聚合(partial_sum(cast(b#11 as bigint))])) Step2: 【Final】计算聚合的Final结果 groupingExpressions:group列(a) + distinct使用的列(b) aggregateExpressions: 聚合(sum(b)) create temporary view dataasselect*fromvalues(1,1),(1,2),(2,1),(2,2),(3,1),(3,2)asdata(...
nanvl 表达式不为NAN,返回第二个参数值 SELECT nanvl(cast('NaN' as double), 123);123 nvl2 参数1为空则返回参数3,否则返回参数2 SELECT nvl2(NULL, 2, 1);1 signum 当参数为负、0或正时,返回-1.0、0.0或1.0 some 参数为boolean类型的列,至少有一行为true就返回true select some(desc) from data; ...