##Instruction:
Database: baseball_1
Total Tables: 26
Total Columns: 352

Table Schemas:

baseball_1 contains tables such as all_star, appearances, manager_award, player_award, manager_award_vote, player_award_vote, batting, batting_postseason, player_college, fielding, fielding_outfield, fielding_postseason, hall_of_fame, home_game, manager, manager_half, player, park, pitching, pitching_postseason, salary, college, postseason, team, team_franchise, team_half.
Table all_star has columns such as player_id, year, game_num, game_id, team_id, league_id, gp, starting_pos.
Table appearances has columns such as year, team_id, league_id, player_id, g_all, gs, g_batting, g_defense, g_p, g_c, g_1b, g_2b, g_3b, g_ss, g_lf, g_cf, g_rf, g_of, g_dh, g_ph, g_pr.
Table manager_award has columns such as player_id, award_id, year, league_id, tie, notes.
Table player_award has columns such as player_id, award_id, year, league_id, tie, notes.
Table manager_award_vote has columns such as award_id, year, league_id, player_id, points_won, points_max, votes_first.
Table player_award_vote has columns such as award_id, year, league_id, player_id, points_won, points_max, votes_first.
Table batting has columns such as player_id, year, stint, team_id, league_id, g, ab, r, h, double, triple, hr, rbi, sb, cs, bb, so, ibb, hbp, sh, sf, g_idp.
Table batting_postseason has columns such as year, round, player_id, team_id, league_id, g, ab, r, h, double, triple, hr, rbi, sb, cs, bb, so, ibb, hbp, sh, sf, g_idp.
Table player_college has columns such as player_id, college_id, year.
Table fielding has columns such as player_id, year, stint, team_id, league_id, pos, g, gs, inn_outs, po, a, e, dp, pb, wp, sb, cs, zr.
Table fielding_outfield has columns such as player_id, year, stint, glf, gcf, grf.
Table fielding_postseason has columns such as player_id, year, team_id, league_id, round, pos, g, gs, inn_outs, po, a, e, dp, tp, pb, sb, cs.
Table hall_of_fame has columns such as player_id, yearid, votedby, ballots, needed, votes, inducted, category, needed_note.
Table home_game has columns such as year, league_id, team_id, park_id, span_first, span_last, games, openings, attendance.
Table manager has columns such as player_id, year, team_id, league_id, inseason, g, w, l, rank, plyr_mgr.
Table manager_half has columns such as player_id, year, team_id, league_id, inseason, half, g, w, l, rank.
Table player has columns such as player_id, birth_year, birth_month, birth_day, birth_country, birth_state, birth_city, death_year, death_month, death_day, death_country, death_state, death_city, name_first, name_last, name_given, weight, height, bats, throws, debut, final_game, retro_id, bbref_id.
Table park has columns such as park_id, park_name, park_alias, city, state, country.
Table pitching has columns such as player_id, year, stint, team_id, league_id, w, l, g, gs, cg, sho, sv, ipouts, h, er, hr, bb, so, baopp, era, ibb, wp, hbp, bk, bfp, gf, r, sh, sf, g_idp.
Table pitching_postseason has columns such as player_id, year, round, team_id, league_id, w, l, g, gs, cg, sho, sv, ipouts, h, er, hr, bb, so, baopp, era, ibb, wp, hbp, bk, bfp, gf, r, sh, sf, g_idp.
Table salary has columns such as year, team_id, league_id, player_id, salary.
Table college has columns such as college_id, name_full, city, state, country.
Table postseason has columns such as year, round, team_id_winner, league_id_winner, team_id_loser, league_id_loser, wins, losses, ties.
Table team has columns such as year, league_id, team_id, franchise_id, div_id, rank, g, ghome, w, l, div_win, wc_win, lg_win, ws_win, r, ab, h, double, triple, hr, bb, so, sb, cs, hbp, sf, ra, er, era, cg, sho, sv, ipouts, ha, hra, bba, soa, e, dp, fp, name, park, attendance, bpf, ppf, team_id_br, team_id_lahman45, team_id_retro.
Table team_franchise has columns such as franchise_id, franchise_name, active, na_assoc.
Table team_half has columns such as year, league_id, team_id, half, div_id, div_win, rank, g, w, l.
The player_id of all_star is the foreign key of player_id of player.
The player_id of appearances is the foreign key of player_id of player.
The team_id of appearances is the foreign key of team_id of team.
The player_id of manager_award is the foreign key of player_id of player.
The player_id of player_award is the foreign key of player_id of player.
The player_id of player_award_vote is the foreign key of player_id of player.
The player_id of batting is the foreign key of player_id of player.
The team_id of batting_postseason is the foreign key of team_id of team.
The player_id of batting_postseason is the foreign key of player_id of player.
The college_id of player_college is the foreign key of college_id of college.
The player_id of player_college is the foreign key of player_id of player.
The player_id of fielding is the foreign key of player_id of player.
The player_id of fielding_outfield is the foreign key of player_id of player.
The player_id of fielding_postseason is the foreign key of player_id of player.
The player_id of hall_of_fame is the foreign key of player_id of player.
The park_id of home_game is the foreign key of park_id of park.
The team_id of home_game is the foreign key of team_id of team.
The team_id of manager is the foreign key of team_id of team.
The team_id of manager_half is the foreign key of team_id of team.

##Role Access Policy (Column-Level):
Role: PlayerDataAnalyst
Accessible Columns: player: player_id, name_first, name_last, birth_year, birth_country, bats, throws, debut, final_game; batting: ALL COLUMNS; pitching: ALL COLUMNS; fielding: ALL COLUMNS; appearances: ALL COLUMNS; all_star: ALL COLUMNS; player_award: ALL COLUMNS; player_award_vote: ALL COLUMNS; hall_of_fame: player_id, yearid, votedby, inducted, category; batting_postseason: ALL COLUMNS; fielding_postseason: ALL COLUMNS; pitching_postseason: ALL COLUMNS; player_college: ALL COLUMNS; college: ALL COLUMNS; fielding_outfield: ALL COLUMNS; salary: year, team_id, player_id, salary

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Which player has the most all star game experiences? Give me the first name, last name and id of the player, as well as the number of times the player participated in all star game.
Answer: SELECT T1.name_first , T1.name_last ,  T1.player_id ,   count(*) FROM player AS T1 JOIN all_star AS T2 ON T1.player_id  =  T2.player_id GROUP BY T1.player_id ORDER BY count(*) DESC LIMIT 1;
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT T1.name_first , T1.name_last ,  T1.player_id ,   count(*) FROM player AS T1 JOIN all_star AS T2 ON T1.player_id  =  T2.player_id GROUP BY T1.player_id ORDER BY count(*) DESC LIMIT 1;