Recovery MySQL Implement the missing code, denoted by ellipses. You may not modify the pre-existing code. Consider an input table data name_statistics that contains four columns: Column Name Type Description (quotes for clarity) gender String Either "F" or "M" decade String One of "1910s", "1920s", "1930s", "1940s", "1950s", "1960s", "1970s", "1980s", 1990s", "2000s", "2010s" main.mysql 1 CREATE PROCEDURE popularNames() 2 SELECT 3 decade, 4 MAX(CASE 5 WHEN gender = 'F' THEN name 6 ELSE "END) as name_f, 7 MAX(CASE 8 WHEN gender = 'M' THEN name 9 ELSE "TEND) as name_m 10 FROM ( 11 SELECT 12 decade, 13 gender, 14 name, 15 16 FROM name_statistics ) AS t 17 WHERE x = 1 18 GROUP BY 1 19 ORDER BY 1 20 name String A non-empty string of a person's given name. frequency Integer (INT64) The number of newborns of a given name for each gender during each decade. For example, the table may look like: gender decade name frequency F 1950s Alice 35 M 1960s John 27 F 2010s Emily 42 ... ... To help understand the data, you can interact with the following data table to peek at some rows of the table and sort the rows by a chosen column. Your task is to complete the query, so that the query results will produce a table that contains one row for each decade with the most popular female name (for gender "F" ) and male name (for gender "M" ) during the decade in columns name_f and name_m , respectively. You can assume that the data table contains no ties for the most popular name for each gender and decade pair. Example For given table name_statistics gender decade name frequency F 1950s Alice 35 M M 1960s John 27 F F 2010s Emily 42 M 1960s Dave 25 F 2010s Sarah 11 M 2010s Evan 23 the output should be the output should be decade name_f name_m 1950s Alice 1960s John 2010s Emily Evan For 1950s there is only one name in the given statistics, so it's the most popular - Alice . There were no statistics for males in this decade. For 1960s there are two male's statistics: the name John was given to 27 newborns and the name Dave to 25. So John was the most popular name in this decade. There were no statistics for females in this decade. For 2010s there are two female's statistics: the name Emily was given to 42 newborns and the name Sarah to 11 . So Emily was the most popular name in this decade. There were no statistics for males in this decade. . [execution time limit] 10 seconds (mysql) Recovery MySQL Implement the missing code, denoted by ellipses. You may not modify the pre-existing code. Consider an input table data name_statistics that contains four columns: Column Name Type Description (quotes for clarity) gender String Either "F" or "M" decade String One of "1910s", "1920s", "1930s", "1940s", "1950s", "1960s", "1970s", "1980s", 1990s", "2000s", "2010s" main.mysql 1 CREATE PROCEDURE popularNames() 2 SELECT 3 decade, 4 MAX(CASE 5 WHEN gender = 'F' THEN name 6 ELSE "END) as name_f, 7 MAX(CASE 8 WHEN gender = 'M' THEN name 9 ELSE "TEND) as name_m 10 FROM ( 11 SELECT 12 decade, 13 gender, 14 name, 15 16 FROM name_statistics ) AS t 17 WHERE x = 1 18 GROUP BY 1 19 ORDER BY 1 20 name String A non-empty string of a person's given name. frequency Integer (INT64) The number of newborns of a given name for each gender during each decade. For example, the table may look like: gender decade name frequency F 1950s Alice 35 M 1960s John 27 F 2010s Emily 42 ... ... To help understand the data, you can interact with the following data table to peek at some rows of the table and sort the rows by a chosen column. Your task is to complete the query, so that the query results will produce a table that contains one row for each decade with the most popular female name (for gender "F" ) and male name (for gender "M" ) during the decade in columns name_f and name_m , respectively. You can assume that the data table contains no ties for the most popular name for each gender and decade pair. Example For given table name_statistics gender decade name frequency F 1950s Alice 35 M M 1960s John 27 F F 2010s Emily 42 M 1960s Dave 25 F 2010s Sarah 11 M 2010s Evan 23 the output should be the output should be decade name_f name_m 1950s Alice 1960s John 2010s Emily Evan For 1950s there is only one name in the given statistics, so it's the most popular - Alice . There were no statistics for males in this decade. For 1960s there are two male's statistics: the name John was given to 27 newborns and the name Dave to 25. So John was the most popular name in this decade. There were no statistics for females in this decade. For 2010s there are two female's statistics: the name Emily was given to 42 newborns and the name Sarah to 11 . So Emily was the most popular name in this decade. There were no statistics for males in this decade. . [execution time limit] 10 seconds (mysql)
