Spring Integration-6 :Enrichers

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Spring Integration enrichers are really just a special type of transformer (see previous post in this series). Enrichers take a message from a channel and enhance it by adding information to its header or payload. Thus, an enricher is a transformer that only adds information to the message rather than alter it in other ways.

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Window function in PySpark with Joins example using 2 Dataframes (inner join)

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Input details: #● File has json records #● Each record has fields: #○ user_id #○ card_num #○ merchant #○ category #○ amount #○ ts ### Below analysis to be done Sample data: +------+--------+---------+--------+----------+-------+|amount|card_num| category|merchant| ts|user_id|+------+--------+---------+--------+----------+-------+| 243| C_108| food| M_102|1579532902| U_104|| 699| C_106|cosmetics| M_103|1581759040| U_103|| 228| C_104| children| M_110|1584161986| U_103| Solution: from pyspark.sql.functions import col # this can be done without using window function creditCardData = spark.read.json(“card_transactions.json”) useridMaxSpendDF = df.groupby(‘user_id’).max(‘amount’) useridMaxSpendDF=useridMaxSpendDF.withColumnRenamed(“max(amount)”,”max_amount”) useridMaxSpendDF=useridMaxSpendDF.withColumnRenamed(“user_id”,”m_user_id”) cond = [creditCardData.user_id == useridMaxSpen...
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Input details: #● File has json records #● Each record has fields: #○ user_id #○ card_num #○ merchant #○ category #○ amount #○ ts ### Below analysis to be done Sample data: +------+--------+---------+--------+----------+-------+|amount|card_num| category|merchant| ts|user_id|+------+--------+---------+--------+----------+-------+| 243| C_108| food| M_102|1579532902| U_104|| 699| C_106|cosmetics| M_103|1581759040| U_103|| 228| C_104| children| M_110|1584161986| U_103| Application: Here we will disable auto broadcast and then join 2 data frames and will see execution plan which should use broadcast join Solution: from pyspark.sql import SparkSession from pyspark.sql.functions import broadcast spark = SparkSession.builder.master(‘local[2]’)\ .appName(‘RDD_Methods_Examples’)\ .getOrCreate() print(spark.conf.get(“spark.sql.autoBroadcastJoinThreshold”)) spark.conf.set(“spark.sql.autoBroadcastJoinThreshold”, -1) pr...
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