Showing posts with the label Sqoop

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How to Check Column Nulls and Replace: Pandas

Here is a post that shows how to count Nulls and replace them with the value you want in the Pandas Dataframe. We have explained the process in two steps - Counting and Replacing the Null values. Count null values (column-wise) in Pandas ## count null values column-wise null_counts = df.isnull(). sum() print(null_counts) ``` Output: ``` Column1    1 Column2    1 Column3    5 dtype: int64 ``` In the above code, we first create a sample Pandas DataFrame `df` with some null values. Then, we use the `isnull()` function to create a DataFrame of the same shape as `df`, where each element is a boolean value indicating whether that element is null or not. Finally, we use the `sum()` function to count the number of null values in each column of the resulting DataFrame. The output shows the count of null values column-wise. to count null values column-wise: ``` df.isnull().sum() ``` ##Code snippet to count null values row-wise: ``` df.isnull().sum(axis=1) ``` In the above code, `df` is the Panda

Sqoop Real Use in Hadoop Framework

Why Sqoop you need while working on Hadoop-The Sqoop and its primary reason is to import data from structural data sources such as Oracle/DB2 into HDFS(also called Hadoop file system). To our readers, I have collected a good video from Edureka which helps you to understand the functionality of Sqoop. The comparison between Sqoop and Flume How name come for Sqoop Sqoop word came from SQL+HADOOP=SQOOP. And Sqoop is a data transfer tool. The main use of Sqoop is to import and export a large amount of data from RDBMS to HDFS and vice versa. List of basic Sqoop commands Codegen- It helps to generate code to interact with database records. Create-hive-table- It helps to Import a table definition into a hive Eval- It helps to evaluate SQL statement and display the results Export-It helps to export an HDFS directory into a database table Help- It helps to list the available commands Import- It helps to import a table from a database to HDFS Import-all-tables- It

5 Top features of Sqoop in the age of Big data

The ‘Sqoop’ is a command-line user interface program for conveying information amid relational databases and Hadoop. The SQOOP It aids increasing stacks of a sole table either a gratis shape SQL request as well like preserved appointments that may be run numerous periods to ingress upgrades produced to a database ever since the final ingress. Imports may as well be applied to inhabit boards in Apache Hive|Hive either HBase.  Exports may be applied to put information as of Hadoop into a relational database. Apache Foundation Sqoop grew to be a top-level Apache Software Foundation, Apache program in March 2012. Microsoft utilizes a Sqoop-based connector to aid transference information as of Microsoft SQL Server databases to Hadoop. Couchbase, Inc. As well delivers a Couchbase Server-Hadoop connector by intents of Sqoop.