In Hive, an external table is a table that points to data that is stored outside of the Hive warehouse directory. This means that the data is not managed by Hive, and it can be modified or deleted outside of Hive. To create an external table in Hive, you can follow these steps: 1.Create the …
When loading data into a Hive table using LOAD DATA INPATH or LOAD DATA LOCAL INPATH, you can also choose to overwrite or append the data in the table, similar to the INSERT statements. To overwrite the data in the table, you can use the OVERWRITE keyword in your LOAD DATA statement. For example: LOAD …
Section 7:64. Loading the Data into Hive Tables – Overwrite vs Append Read More »
To load data into a Hive table from HDFS, you can follow these steps: Create a table in Hive with the appropriate schema to match your data. You can do this using the CREATE TABLE statement. For example: 2. Load the data into the Hive table using the LOAD DATA INPATH statement. For example: The …
Section 7:63. Loading the Data into Hive Table from HDFS Read More »
To load data from a local file system into a Hive table, you can use the following steps: Create an external table in Hive with the appropriate schema to match your data. You can do this using the CREATE EXTERNAL TABLE statement. Move your data files to a location that can be accessed by the …
Section 7:62. Loading the Data into Hive Table from Local file system Read More »
Details – Duration 20 minutes Data is available in HDFS /public/randomtextwriter Get word count for the input data using space as delimiter Number of executors should be 10 Executor memory should be 3 GB Executor cores should be 20 in total (2 per executor) Number of output files should be 8 Target Directory: /user/<YOUR_USER_ID>/solutions/solution05/wordcount Target …
Details – Duration 10 minutes Data is available in local file system under /data/nyse (ls -ltr /data/nyse) Fields (stockticker:string, transactiondate:string, openprice:float, highprice:float, lowprice:float, closeprice:float, volume:bigint) Convert file format to parquet Save it /user/<YOUR_USER_ID>/nyse_parquet
