pyspark filter
A more concrete example: # To create DataFrame using SQLContext people = sqlContext.read.parquet("...") department = sqlContext.read.parquet("...") people.filter(people.age > 30).join(department, people.deptId == department.id) - .g,The lambda function is pure python, so something like below would work table2 = table1.filter(lambda x: "TEXT" in x[12]).
| 相關軟體 Spark 資訊 | |
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 pyspark filter 相關參考資料
pyspark.sql module — PySpark 2.1.0 documentation - Apache Spark
A more concrete example: # To create DataFrame using SQLContext people = sqlContext.read.parquet("...") department = sqlContext.read.parquet("...") people.filter(people.age > 30... http://spark.apache.org pyspark.sql module — PySpark 2.2.0 documentation - Apache Spark
A more concrete example: # To create DataFrame using SQLContext people = sqlContext.read.parquet("...") department = sqlContext.read.parquet("...") people.filter(people.age > 30... http://spark.apache.org python - Pyspark RDD .filter() with wildcard - Stack Overflow
The lambda function is pure python, so something like below would work table2 = table1.filter(lambda x: "TEXT" in x[12]). https://stackoverflow.com python - Filtering in pyspark - Stack Overflow
You can replace the lambda function, with a "real" function which will do whatever you like, in an efficient way. See below a prototype of the suggested solution def efficient_func(line): i... https://stackoverflow.com python - Filter PySpark DataFrame by checking if string appears in ...
You can use pyspark.sql.functions.array_contains method: df.filter(array_contains(df['authors'], 'Some Author')). from pyspark.sql.types import * from pyspark.sql.functions import arr... https://stackoverflow.com python - Filtering a pyspark dataframe using isin by exclusion ...
It looks like the ~ gives the functionality that I need, but I am yet to find any appropriate documentation on it. df.filter(~col('bar').isin(['a','b'])).show() +---+---+ | id... https://stackoverflow.com pyspark dataframe filter or include based on list - Stack Overflow
createDataFrame(rdd, ["id", "score"]) # define a list of scores l = [10,18,20] # filter out records by scores by list l records = df.filter(~df.score.isin(l)) # expected: (0,1), (... https://stackoverflow.com python - pyspark dataframe filter on multiple columns - Stack Overflow
doing the following should solve your issue from pyspark.sql.functions import col df.filter((!col("Name2").rlike("[0-9]")) | (col("Name2").isNotNull)). https://stackoverflow.com python - Filtering a Pyspark DataFrame with SQL-like IN clause ...
String you pass to SQLContext it evaluated in the scope of the SQL environment. It doesn't capture the closure. If you want to pass a variable you'll have to do it explicitly using string for... https://stackoverflow.com python - Column filtering in PySpark - Stack Overflow
It is possible to use user defined function. from datetime import datetime, timedelta from pyspark.sql.types import BooleanType, TimestampType from pyspark.sql.functions import udf, col def in_last_5_... https://stackoverflow.com |