5. format_string / printf 格式化字符串:format_string(strfmt, obj, ...) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 --returns a formatted string from printf-style format strings selectformat_string("Spark SQL %d %s",100,"days"); 6. initcap / lower / upper initcap:将每个单词的首...
函数名: date_add 包名: org.apache.spark.sql.catalyst.expressions.DateAdd 解释: date_add(start_date, num_days) - Returns the date that isnum_daysafterstart_date. 函数名: date_format 包名: org.apache.spark.sql.catalyst.expressions.DateFormat包名 解释: date_format(timestamp, fmt) - Convertst...
date_format($"InvoiceDate", "EEE"))//提取timestamp类的星期,具体查看java.text.SimpleDateFormat .coalesce(5)//5个partition,可设置是否shuffle //分开training和test sets,下面采取手动方式,MLlib有其他APIs来实现。下面
-- returns a formatted string from printf-style format stringsselect format_string("Spark SQL %d %s", 100, "days"); 6. initcap / lower / upper initcap:将每个单词的首字母转为大写,其他字母小写。单词之间以空白分隔。upper:全部转为大写。lower:全部转为小写。 -- Spark Sqlselect initcap("spaRk...
private[spark] object Worker extends Logging { //Worker Start Entry def main(argStrings: Array[String]) { SignalLogger.register(log) val conf = new SparkConf val args = new WorkerArguments(argStrings, conf) //New Actor System and Actor val (actorSystem, _) = startSystemAndActor(args.host...
format_string / printf 格式化字符串:format_string(strfmt, obj, ...) --returnsaformattedstringfromprintf-styleformatstrings selectformat_string("SparkSQL%d%s",100,"days"); initcap / lower / upper initcap:将每个单词的首字母转为大写,其他字母小写。单词之间以空白分隔。 upper:全部转为大写。 lower...
LIKE比较: LIKE 语法: A LIKE B 操作类型: strings 描述: 如果字符串A或者字符串B为NULL,则返回NULL;如果字符串A符合表达式B 的正则语法,则为TRUE;否则为FALSE。B中字符”_”表示任意单个字符,而字符”%”表示任意数量的字符。举例: hive> select 1 from lxw_dual where 'football' like 'foot%'; 1 ...
date_format(timestamp,fmt) - Convertstimestampto a value ofstringinthe format specified by thedateformatfmt. Examples:> SELECT date_format('2016-04-08','y');2016date_sub date_sub(start_date, num_days)- Returns thedatethat isnum_daysbeforestart_date. ...
1import org.apache.spark.sql.{SparkSession, SaveMode}2import java.text.SimpleDateFormat3object UDFDemo {4 def main(args: Array[String]): Unit = {5 val spark = SparkSession6 .builder()7 .config("spark.sql.warehouse.dir","")8 .enableHiveSupport()9 .appName("UDF Demo")10 .master("...
DateType Complex types: ArrayType MapType(only with key typeStringType) StructType Connect to the ArangoGraph Insights Platform To connect to SSL secured deployments using X.509 Base64 encoded CA certificate (ArangoGraph): valoptions=Map("database"->"<dbname>","user"->"<username>","password...