在Pyspark中,可以使用pyspark.sql.functions模块中的to_timestamp函数将字符串列转换为时间戳类型,然后使用pyspark.sql.functions模块中的日期和时间函数来提取时间字段。以下是一个示例代码: 代码语言:txt 复制 from pyspark.sql import SparkSession from pyspark.sql.functions import to_timestamp, hour,...
代码语言:txt 复制 data = [("2022-01-01 10:30:45"), ("2022-01-01 15:45:20")] df = spark.createDataFrame(data, ["timestamp"]) 使用Spark SQL的内置函数提取时间: 代码语言:txt 复制 df = df.withColumn("hour", hour(df.timestamp)) df = df.withColumn("minute", minute(df.timestamp...
spark.udf.register("get_hour", lambda x: int(datetime.datetime.fromtimestamp(x / 1000.0).hour)) spark.sql(''' SELECT *, get_hour(ts) AS hour FROM user_log_table LIMIT 1 ''' ).collect() songs_in_hour = spark.sql(''' SELECT get_hour(ts) AS hour, COUNT(*) as plays_per_hou...
testDateTSDF = spark.createDataFrame(testDate,schema=["id", "date", "timestamp", "date_str", "ts_str"]) # testDateTSDF.printSchema() # testDateTSDF.show() # 将这些字符串转换为date、timestamp和 unix timestamp,并指定一个自定义的date和timestamp 格式 testDateResultDF = testDateTSDF.sel...
select(from_utc_timestamp(df.t, "PST").alias('t')).collect() [Row(t=datetime.datetime(1997, 2, 28, 2, 30))] 73.pyspark.sql.functions.greatest(*cols) 返回列名称列表的最大值,跳过空值。该功能至少需要2个参数。如果所有参数都为空,它将返回null >>> df = sqlContext.createDataFrame([(...
from pyspark.sql.functions import window, count, desc from pyspark.sql.types import StructType, StructField, StringType, TimestampType # 定义数据模式 schema = StructType([ StructField("user_id", StringType(), True), StructField("event_time", TimestampType(), True), StructField("event_type...
12.时间格式转化函数unix_timestamp,to_timestamp,from_unixtime,hour 13.get_json_object 从基于指定的json路径的json字符串提取值,并返回提取的json对象的json字符串。如果输入的json字符串无效,它将返回null。$.为该函数的固定写法。 14.json_tuple从json数据中提取数据,生成新的列 ...
to_timestamp from pyspark.sql.functions import split, regexp_replace spark_session = SparkSession.builder.appName(app_name) spark_session = spark_session.master(master) spark_session = spark_session.config('spark.executor.memory', spark_executor_memory) for key, value in config_map.items(): ...
df=df.withColumn("current_timestamp",from_unixtime(df["operation_time"]/1000))# 添加各种时间格式的列 df=df.withColumn("year",date_format("current_timestamp","yyyy"))df=df.withColumn("quarter",date_format("current_timestamp","yyyy-MM"))df=df.withColumn("month",date_format("current_time...
58.pyspark.sql.functions.from_utc_timestamp(timestamp, tz) 假设时间戳是UTC,并转换为给定的时区 >>>df = sqlContext.createDataFrame([('1997-02-28 10:30:00',)], ['t'])>>>df.select(from_utc_timestamp(df.t,"PST").alias('t')).collect() ...