In this type of scenario, I don't see any much performance impact and Approach# 4 can be used here as well. Solved: How to get the total number of rows from multiple Additional approach: use column rowcnt in sysindexes: select sum(rowcnt) from sysindexes where indid < 2. if you want to eliminate system tables, use this query: select sum(a.rowcnt) from sysindexes a join sys.tables b on a.id = b.object_id where a.indid < 2 and b.is_ms_shipped = 0. Not the answer you're looking for? Which was the first Sci-Fi story to predict obnoxious "robo calls"? I know we can get row count of all the tables in a database. Hive cost based optimizer makes use of these statistics to create optimal execution plan. We should avoid using this as this feature will be removed in future versions of SQL Server. On whose turn does the fright from a terror dive end? The HQL command is explain select * from table_name; but when not optimized not shows rows in the TableScan. Is there any way to achieve that ? We can use Hive statistics. Not satisfied with Sqoop features? Looking for job perks? Is there a generic term for these trajectories? There are many ways to use such statistics information: There are two ways Hive table statistics are computed. all the tables in the source database and comparing it against the corresponding No MSForeach, or sysindexes. Below is sample output from AdventureWorksDW database. This is an iterative approach which captures the row count for each of the Rows may or may not be sent to the client. Not the answer you're looking for? The window function will group the rows by the column_A and order them by the number of rows: 1 2 3 4 5 the row counts from each of the tables in a given database in an iterative fashion Top 5 reasons to learn python for every IT professional, Travel on Local Trains in India?Make your life Digital with UTS, Get row count from all tables in hive using Spark. tables (individual COUNT queries combined using UNION ALL) and provides the row It will not perform map-reduce and you can get counts within seconds. for use in any production code. from all the tables in a database can be really helpful and effective thereby considerably Infact the 2nd approach presented above is on these lines with a couple additional filters. The ANALYZE TABLE statement collects statistics about one specific table or all the tables in one specified schema, that are to be used by the query optimizer to find a better query execution plan. Each record has current-run-date column. UNION ALL to combine the results and run the entire query. As already been mentioned Hive's cost-based optimizer uses statistics to generate a query plan for complex or multi-table queries; Users can also get data distribution details such as top 10 products sold, the age distribution in the customer's table, etc; Users can quickly get answers to some of their queries by referring only to stored statistics instead of running time-consuming execution plans. show tables; First run, This stores all tables in the database in a text file tables.txt. Why Is PNG file with Drop Shadow in Flutter Web App Grainy? How to get a password from a shell script without echoing, Shell Script: Execute a python program from within a shell script. SELECT DISTINCT s.name as SchemaName,OBJECT_NAME(o.OBJECT_ID) AS TableName,p.row_countFROM SYS.objects o JOIN SYS.schemas s ON o.schema_id=s.schema_id JOIN sys.dm_db_partition_stats p ON o.object_id=p.object_idWHERE o.type LIKE 'U' AND s.name LIKE 'schema_name'ORDER BY TableName. This creates a text file(counts.txt) with the counts of all the tables in the database. GP, that is manually. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy.

Nfl Player Comparison Pro Football Reference, Richfield Middle School Principal, Jennifer Kesse Prime Suspect, Articles G