11/13/2022 0 Comments Draw structures in hivebench![]() It was recommended, amongst others that academic staff in universities should endeavour to explore and utilize at least ten of the online platforms mentioned in this study, to enable them disseminate their scholarly works to a wider audience and for increased visibilityīackground: Social media technology has provided platforms for enhanced human communication and expanded opportunities for self-expression. There was a high rate of willingness among universities' academic staff in Africa, to adopt various online platforms for research dissemination ResearchGate is currently utilized the most for research dissemination, but Google Scholar is the platform respondents are more willing to adopt for research dissemination the rate at which academic staff research output can be found online as a ratio of their total publication is 64.04% and in the ratio of 2.00:3.12 poor access to Internet facilities at home and workplaces are the major challenges academic staff face in the utilization of digital platforms for RD. Data were collected from 1,977 respondents, distributed across 24 African countries, through the use of an electronic survey. The snowball sampling technique was used for data collection. The quantitative research method was adopted, based on the descriptive survey research design. The study is informed by the growing importance of online repositories and preprint servers in the scientific communication of scholarly output, especially in an era where the use of metrics for research appraisals and funding decisions is commonly practised. Display the content of the table Hive>select * from guruhive_external Ĥ.An assessment of the extent of the use of electronic platforms by African academic staff in universities to disseminate research was done in this study. If we are not specifying the location at the time of table creation, we can load the data manually Hive>LOAD DATA INPATH '/user/guru99hive/data.txt' INTO TABLE guruhive_external ģ. LOCATION '/user/guru99hive/guruhive_external Ģ. Create External table Hive>CREATE EXTERNAL TABLE guruhive_external(id INT,Name STRING) Useful when the files are being used outside of Hiveġ.External tables provide an option to create multiple schemas for the data stored in HDFS instead of deleting the data every time whenever schema updates.At the time of dropping the table it drops only schema, the data will be still available in HDFS as before.In other way, we can say like its creating schema on data.Data will be available in HDFS.The table is going to create on HDFS data. External Table is loosely coupled in nature. #DRAW STRUCTURES IN HIVEBENCH CODE#In above code and from screenshot we do following things, If you dropped the guruhive_internaltable, including its metadata and its data will be deleted from Hive.įrom the following screenshot, we can observe the output To drop the internal table Hive>DROP TABLE guruhive_internaltable Display the content of the table Hive>select * from guruhive_internaltable Ĥ. Load the data into internal table Hive>LOAD DATA INPATH '/user/guru99hive/data.txt' INTO table guruhive_internaltable ģ. To create the internal table Hive>CREATE TABLE guruhive_internaltable (id INT,Name STRING) Ģ. If we want Hive to manage the complete lifecycle of data including the deletionġ.If the processing data available in local file system.The stored location of this table will be at /user/hive/warehouse.By dropping this table, both data and schema will be removed.We can call this one as data on schema.In this type of table, first we have to create table and load the data. Internal Table is tightly coupled in nature.Hive deals with two types of table structures like Internal and External tables depending on the loading and design of schema in Hive. The functionalities such as filtering, joins can be performed on the tables. Coming to Tables it’s just like the way that we create in traditional Relational Databases. ![]()
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