在 Postgres 中解析 JSON

Question

我将以下 JSON 存储在 Postgres 表中名为“数据”的 JSONB 列中：

{"resource":"boxscore","parameters":{"GameID":"0021700079","StartPeriod":0,"EndPeriod":0,"StartRange":0,"EndRange":0,"RangeType":0},"resultSets":[{"name":"PlayerStats","headers":["GAME_ID","TEAM_ID","TEAM_ABBREVIATION","TEAM_CITY","PLAYER_ID","PLAYER_NAME","START_POSITION","COMMENT","MIN","FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","FTM","FTA","FT_PCT","OREB","DREB","REB","AST","STL","BLK","TO","PF","PTS","PLUS_MINUS"],"rowSet":[["0021700079",1610612760,"OKC","Oklahoma City",202331,"Paul George","F","","28:43",8,15,0.533,4,5,0.800,0,0,0.000,1,4,5,0,4,0,3,2,20,20.000],["0021700079",1610612760,"OKC","Oklahoma City",2546,"Carmelo Anthony","F","","27:41",7,16,0.438,5,9,0.556,2,2,1.000,0,5,5,2,0,0,0,2,21,26.000],["0021700079",1610612760,"OKC","Oklahoma City",203500,"Steven Adams","C","","28:11",6,10,0.600,0,0,0.000,0,0,0.000,5,3,8,2,1,1,1,0,12,23.000],["0021700079",1610612760,"OKC","Oklahoma City",203460,"Andre Roberson","G","","20:22",2,2,1.000,1,1,1.000,0,0,0.000,1,0,1,1,0,1,0,2,5,21.000],["0021700079",1610612760,"OKC","Oklahoma City",201566,"Russell Westbrook","G","","28:25",5,13,0.385,0,2,0.000,2,3,0.667,2,11,13,13,2,0,2,2,12,26.000],["0021700079",1610612760,"OKC","Oklahoma City",203924,"Jerami Grant","","","23:00",2,4,0.500,0,1,0.000,2,3,0.667,0,4,4,1,3,2,1,2,6,2.000],["0021700079",1610612760,"OKC","Oklahoma City",203518,"Alex Abrines","","","18:09",2,8,0.250,1,5,0.200,0,0,0.000,0,2,2,1,2,0,1,2,5,-1.000],["0021700079",1610612760,"OKC","Oklahoma City",101109,"Raymond Felton","","","20:24",3,8,0.375,2,4,0.500,4,6,0.667,1,7,8,3,2,1,1,1,12,7.000],["0021700079",1610612760,"OKC","Oklahoma City",202335,"Patrick Patterson","","","15:01",1,5,0.200,0,4,0.000,0,0,0.000,1,1,2,0,2,0,1,0,2,2.000],["0021700079",1610612760,"OKC","Oklahoma City",203962,"Josh Huestis","","","17:02",1,5,0.200,0,3,0.000,0,0,0.000,0,2,2,1,0,1,1,2,2,13.000],["0021700079",1610612760,"OKC","Oklahoma City",1628390,"Terrance Ferguson","","","4:48",1,1,1.000,0,0,0.000,0,0,0.000,0,1,1,0,0,0,0,2,2,7.000],["0021700079",1610612760,"OKC","Oklahoma City",2555,"Nick Collison","","","4:48",0,0,0.000,0,0,0.000,0,0,0.000,0,0,0,1,0,0,0,0,0,7.000],["0021700079",1610612760,"OKC","Oklahoma City",1626177,"Dakari Johnson","","","3:26",1,1,1.000,0,0,0.000,0,0,0.000,0,1,1,3,0,2,0,0,2,7.000],["0021700079",1610612741,"CHI","Chicago",1627835,"Paul Zipser","F","","17:05",1,5,0.200,1,3,0.333,0,0,0.000,1,2,3,0,1,0,3,1,3,-18.000],["0021700079",1610612741,"CHI","Chicago",1628374,"Lauri Markkanen","F","","27:54",3,7,0.429,3,6,0.500,6,6,1.000,3,5,8,1,0,1,0,1,15,-17.000],["0021700079",1610612741,"CHI","Chicago",201577,"Robin Lopez","C","","25:22",4,9,0.444,0,0,0.000,2,2,1.000,1,2,3,2,0,2,1,1,10,-13.000],["0021700079",1610612741,"CHI","Chicago",203200,"Justin Holiday","G","","31:39",4,16,0.250,3,10,0.300,0,1,0.000,2,3,5,2,1,0,4,1,11,-18.000],["0021700079",1610612741,"CHI","Chicago",1626170,"Jerian Grant","G","","21:00",0,7,0.000,0,6,0.000,2,3,0.667,1,1,2,4,1,0,0,1,2,-17.000],["0021700079",1610612741,"CHI","Chicago",1627756,"Denzel Valentine","","","30:55",3,12,0.250,2,5,0.400,0,0,0.000,3,6,9,3,1,0,3,2,8,-14.000],["0021700079",1610612741,"CHI","Chicago",202347,"Quincy Pondexter","","","20:06",1,7,0.143,1,7,0.143,3,4,0.750,0,3,3,0,0,0,3,3,6,-15.000],["0021700079",1610612741,"CHI","Chicago",1627739,"Kris Dunn","","","22:12",4,9,0.444,0,0,0.000,0,0,0.000,1,3,4,3,3,1,4,5,8,-8.000],["0021700079",1610612741,"CHI","Chicago",1626245,"Cristiano Felicio","","","22:38",1,2,0.500,0,0,0.000,0,0,0.000,0,8,8,0,0,1,1,0,2,-19.000],["0021700079",1610612741,"CHI","Chicago",1628021,"David Nwaba","","","16:21",1,3,0.333,0,0,0.000,2,4,0.500,0,2,2,0,2,0,0,1,4,-14.000],["0021700079",1610612741,"CHI","Chicago",1627770,"Kay Felder","","","4:48",0,1,0.000,0,0,0.000,0,0,0.000,0,0,0,1,0,0,0,0,0,-7.000]]},{"name":"TeamStats","headers":["GAME_ID","TEAM_ID","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CITY","MIN","FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","FTM","FTA","FT_PCT","OREB","DREB","REB","AST","STL","BLK","TO","PF","PTS","PLUS_MINUS"],"rowSet":[["0021700079",1610612760,"Thunder","OKC","Oklahoma City","240:00",39,88,0.443,13,34,0.382,10,14,0.714,11,41,52,28,16,8,11,17,101,32.000000],["0021700079",1610612741,"Bulls","CHI","Chicago","240:00",22,78,0.282,10,37,0.270,15,20,0.750,12,35,47,16,9,5,19,16,69,-32.000000]]},{"name":"TeamStarterBenchStats","headers":["GAME_ID","TEAM_ID","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CITY","STARTERS_BENCH","MIN","FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","FTM","FTA","FT_PCT","OREB","DREB","REB","AST","STL","BLK","TO","PF","PTS"],"rowSet":[["0021700079",1610612760,"Thunder","OKC","Oklahoma City","Starters","133:22",28,56,0.500,10,17,0.588,4,5,0.800,9,23,32,18,7,2,6,8,70],["0021700079",1610612760,"Thunder","OKC","Oklahoma City","Bench","106:38",11,32,0.344,3,17,0.176,6,9,0.667,2,18,20,10,9,6,5,9,31],["0021700079",1610612741,"Bulls","CHI","Chicago","Starters","123:00",12,44,0.273,7,25,0.280,10,12,0.833,8,13,21,9,3,3,8,5,41],["0021700079",1610612741,"Bulls","CHI","Chicago","Bench","117:00",10,34,0.294,3,12,0.250,5,8,0.625,4,22,26,7,6,2,11,11,28]]}]}

我需要对其进行解析以提取个人球员和球队的得分统计数据，然后将它们放在另一个表格中，每个球员一行，所有不同的统计数据都放在列中。例如，决赛桌应如下所示：

Player           | PTS | REB | AST | etc....
Paul George      | 20  |  5  |  0  | etc....
Carmelo Anthony  | 21  |  5  |  2  | etc....

但是，这些值看起来好像存储在列表中。如何利用 JSONB 函数解析这些数据点？我已尝试查看 Postgres 官方文档，但无法找到以我需要的方式专门提取这些数据的方法。

我通过 Python 将数据插入 Postgres 数据库。因此，如果先在 Python 中解析数据并将其传输到 Postgres 更容易/更明智，请告诉我。

Answer 1

手动解析所有这些会很乏味，但这是最明显的解决方案：

SELECT
  rowSet -> 0 AS "GAME_ID",
  rowSet -> 1 AS "TEAM_ID",
  rowSet -> 2 AS "TEAM_ABBREVIATION",
  rowSet -> 3 AS "TEAM_CITY",
  rowSet -> 4 AS "PLAYER_ID",
  rowSet -> 5 AS "PLAYER_NAME",
  rowSet -> 6 AS "START_POSITION",
  rowSet -> 7 AS "COMMENT",
  rowSet -> 8 AS "MIN",
  rowSet -> 9 AS "FGM",
  rowSet -> 10 AS "FGA",
  rowSet -> 11 AS "FG_PCT",
  rowSet -> 12 AS "FG3M",
  rowSet -> 13 AS "FG3A",
  rowSet -> 14 AS "FG3_PCT",
  rowSet -> 15 AS "FTM",
  rowSet -> 16 AS "FTA",
  rowSet -> 17 AS "FT_PCT",
  rowSet -> 18 AS "OREB",
  rowSet -> 19 AS "DREB",
  rowSet -> 20 AS "REB",
  rowSet -> 21 AS "AST",
  rowSet -> 22 AS "STL",
  rowSet -> 23 AS "BLK",
  rowSet -> 24 AS "TO",
  rowSet -> 25 AS "PF",
  rowSet -> 26 AS "PTS",
  rowSet -> 27 AS "PLUS_MINUS"
  FROM
  (
    SELECT
      JSONB_ARRAY_ELEMENTS(resultSets -> 'rowSet') AS rowSet
    FROM
      (
        SELECT
          JSONB_ARRAY_ELEMENTS(data -> 'resultSets') AS resultSets -- Get individual players
          FROM
          (
          SELECT
            '{"resource":"boxscore","parameters":{"GameID":"0021700079","StartPeriod":0,"EndPeriod":0,"StartRange":0,"EndRange":0,"RangeType":0},"resultSets":[{"name":"PlayerStats","headers":["GAME_ID","TEAM_ID","TEAM_ABBREVIATION","TEAM_CITY","PLAYER_ID","PLAYER_NAME","START_POSITION","COMMENT","MIN","FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","FTM","FTA","FT_PCT","OREB","DREB","REB","AST","STL","BLK","TO","PF","PTS","PLUS_MINUS"],"rowSet":[["0021700079",1610612760,"OKC","Oklahoma City",202331,"Paul George","F","","28:43",8,15,0.533,4,5,0.800,0,0,0.000,1,4,5,0,4,0,3,2,20,20.000],["0021700079",1610612760,"OKC","Oklahoma City",2546,"Carmelo Anthony","F","","27:41",7,16,0.438,5,9,0.556,2,2,1.000,0,5,5,2,0,0,0,2,21,26.000],["0021700079",1610612760,"OKC","Oklahoma City",203500,"Steven Adams","C","","28:11",6,10,0.600,0,0,0.000,0,0,0.000,5,3,8,2,1,1,1,0,12,23.000],["0021700079",1610612760,"OKC","Oklahoma City",203460,"Andre Roberson","G","","20:22",2,2,1.000,1,1,1.000,0,0,0.000,1,0,1,1,0,1,0,2,5,21.000],["0021700079",1610612760,"OKC","Oklahoma City",201566,"Russell Westbrook","G","","28:25",5,13,0.385,0,2,0.000,2,3,0.667,2,11,13,13,2,0,2,2,12,26.000],["0021700079",1610612760,"OKC","Oklahoma City",203924,"Jerami Grant","","","23:00",2,4,0.500,0,1,0.000,2,3,0.667,0,4,4,1,3,2,1,2,6,2.000],["0021700079",1610612760,"OKC","Oklahoma City",203518,"Alex Abrines","","","18:09",2,8,0.250,1,5,0.200,0,0,0.000,0,2,2,1,2,0,1,2,5,-1.000],["0021700079",1610612760,"OKC","Oklahoma City",101109,"Raymond Felton","","","20:24",3,8,0.375,2,4,0.500,4,6,0.667,1,7,8,3,2,1,1,1,12,7.000],["0021700079",1610612760,"OKC","Oklahoma City",202335,"Patrick Patterson","","","15:01",1,5,0.200,0,4,0.000,0,0,0.000,1,1,2,0,2,0,1,0,2,2.000],["0021700079",1610612760,"OKC","Oklahoma City",203962,"Josh Huestis","","","17:02",1,5,0.200,0,3,0.000,0,0,0.000,0,2,2,1,0,1,1,2,2,13.000],["0021700079",1610612760,"OKC","Oklahoma City",1628390,"Terrance Ferguson","","","4:48",1,1,1.000,0,0,0.000,0,0,0.000,0,1,1,0,0,0,0,2,2,7.000],["0021700079",1610612760,"OKC","Oklahoma City",2555,"Nick Collison","","","4:48",0,0,0.000,0,0,0.000,0,0,0.000,0,0,0,1,0,0,0,0,0,7.000],["0021700079",1610612760,"OKC","Oklahoma City",1626177,"Dakari Johnson","","","3:26",1,1,1.000,0,0,0.000,0,0,0.000,0,1,1,3,0,2,0,0,2,7.000],["0021700079",1610612741,"CHI","Chicago",1627835,"Paul Zipser","F","","17:05",1,5,0.200,1,3,0.333,0,0,0.000,1,2,3,0,1,0,3,1,3,-18.000],["0021700079",1610612741,"CHI","Chicago",1628374,"Lauri Markkanen","F","","27:54",3,7,0.429,3,6,0.500,6,6,1.000,3,5,8,1,0,1,0,1,15,-17.000],["0021700079",1610612741,"CHI","Chicago",201577,"Robin Lopez","C","","25:22",4,9,0.444,0,0,0.000,2,2,1.000,1,2,3,2,0,2,1,1,10,-13.000],["0021700079",1610612741,"CHI","Chicago",203200,"Justin Holiday","G","","31:39",4,16,0.250,3,10,0.300,0,1,0.000,2,3,5,2,1,0,4,1,11,-18.000],["0021700079",1610612741,"CHI","Chicago",1626170,"Jerian Grant","G","","21:00",0,7,0.000,0,6,0.000,2,3,0.667,1,1,2,4,1,0,0,1,2,-17.000],["0021700079",1610612741,"CHI","Chicago",1627756,"Denzel Valentine","","","30:55",3,12,0.250,2,5,0.400,0,0,0.000,3,6,9,3,1,0,3,2,8,-14.000],["0021700079",1610612741,"CHI","Chicago",202347,"Quincy Pondexter","","","20:06",1,7,0.143,1,7,0.143,3,4,0.750,0,3,3,0,0,0,3,3,6,-15.000],["0021700079",1610612741,"CHI","Chicago",1627739,"Kris Dunn","","","22:12",4,9,0.444,0,0,0.000,0,0,0.000,1,3,4,3,3,1,4,5,8,-8.000],["0021700079",1610612741,"CHI","Chicago",1626245,"Cristiano Felicio","","","22:38",1,2,0.500,0,0,0.000,0,0,0.000,0,8,8,0,0,1,1,0,2,-19.000],["0021700079",1610612741,"CHI","Chicago",1628021,"David Nwaba","","","16:21",1,3,0.333,0,0,0.000,2,4,0.500,0,2,2,0,2,0,0,1,4,-14.000],["0021700079",1610612741,"CHI","Chicago",1627770,"Kay Felder","","","4:48",0,1,0.000,0,0,0.000,0,0,0.000,0,0,0,1,0,0,0,0,0,-7.000]]},{"name":"TeamStats","headers":["GAME_ID","TEAM_ID","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CITY","MIN","FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","FTM","FTA","FT_PCT","OREB","DREB","REB","AST","STL","BLK","TO","PF","PTS","PLUS_MINUS"],"rowSet":[["0021700079",1610612760,"Thunder","OKC","Oklahoma City","240:00",39,88,0.443,13,34,0.382,10,14,0.714,11,41,52,28,16,8,11,17,101,32.000000],["0021700079",1610612741,"Bulls","CHI","Chicago","240:00",22,78,0.282,10,37,0.270,15,20,0.750,12,35,47,16,9,5,19,16,69,-32.000000]]},{"name":"TeamStarterBenchStats","headers":["GAME_ID","TEAM_ID","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CITY","STARTERS_BENCH","MIN","FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","FTM","FTA","FT_PCT","OREB","DREB","REB","AST","STL","BLK","TO","PF","PTS"],"rowSet":[["0021700079",1610612760,"Thunder","OKC","Oklahoma City","Starters","133:22",28,56,0.500,10,17,0.588,4,5,0.800,9,23,32,18,7,2,6,8,70],["0021700079",1610612760,"Thunder","OKC","Oklahoma City","Bench","106:38",11,32,0.344,3,17,0.176,6,9,0.667,2,18,20,10,9,6,5,9,31],["0021700079",1610612741,"Bulls","CHI","Chicago","Starters","123:00",12,44,0.273,7,25,0.280,10,12,0.833,8,13,21,9,3,3,8,5,41],["0021700079",1610612741,"Bulls","CHI","Chicago","Bench","117:00",10,34,0.294,3,12,0.250,5,8,0.625,4,22,26,7,6,2,11,11,28]]}]}'::JSONB AS data
          ) _data
      ) _result
  ) _row

您有一个不错的 JSON 数据集，其中包含 {资源、参数、结果集}。我最关心结果集，因为它包含玩家信息。这个未经修改的数据集我称之为_data。

数据包含结果集。 resultSets 是一个数组，我想将该数组作为单独的行展开。

JSONB_ARRAY_ELEMENTS(data -> 'resultSets')

再看结构，你甚至不需要散布这个物体。 0 索引包含 PlayerStats 信息。因此，或者，您可以将其替换为：

data -> 'resultSets' -> 0 AS resultSets 

resultSets 包含行集。 rowSets 将所有玩家信息作为一个数组。这些数据再次分散到单独的行中。

JSONB_ARRAY_ELEMENTS(resultSets -> 'rowSet')

现在，您在每一行都有一个 JSONB 数组对象，其中包含称为 rowSet 的所有用户信息。您可以通过数组索引手动选择每一列来显示它们。

rowSet -> 0 AS "GAME_ID"

您可以在尝试解析 JSON 之前将其格式化为更易读的格式。