(Databricks上的Apache Spark 2.3.1版)
你好，我有一个JSON转储，看起来像这个
[{"standings": {"visitorteam_position": 1, "localteam_position": 1}, "season_id": 892, "pitch": null, "commentaries": null, "id": 10342083, "venue_id": 273277, "formations": {"localteam_formation": null, "visitorteam_formation": null}, "aggregate_id": null, "round_id": null, "visitorteam_id": 18647, "winning_odds_calculated": false, "deleted": false, "coaches": {"localteam_coach_id": 472158, "visitorteam_coach_id": 474616}, "attendance": null, "scores": {"ft_score": null, "visitorteam_score": 0, "et_score": null, "localteam_pen_score": null, "visitorteam_pen_score": null, "localteam_score": 0, "ht_score": null}, "referee_id": 18783, "stage_id": 1728, "weather_report": null, "league_id": 732, "localteam_id": 15251, "time": {"status": "NS", "starting_at": {"date": "2018-07-06", "date_time": "2018-07-06 14:00:00", "timezone": "UTC", "timestamp": 1530885600, "time": "14:00:00"}, "extra_minute": null, "injury_time": null, "second": null, "added_time": null, "minute": null}, "group_id": null}, {"standings": {"visitorteam_position": 1, "localteam_position": 1}, "season_id": 892, "pitch": null, "commentaries": null, "id": 10344350, "venue_id": 8869, "formations": {"localteam_formation": null, "visitorteam_formation": null}, "aggregate_id": null, "round_id": null, "visitorteam_id": 18743, "winning_odds_calculated": false, "deleted": false, "coaches": {"localteam_coach_id": 474720, "visitorteam_coach_id": 474796}, "attendance": null, "scores": {"ft_score": null, "visitorteam_score": 0, "et_score": null, "localteam_pen_score": null, "visitorteam_pen_score": null, "localteam_score": 0, "ht_score": null}, "referee_id": 16781, "stage_id": 1728, "weather_report": null, "league_id": 732, "localteam_id": 18704, "time": {"status": "NS", "starting_at": {"date": "2018-07-06", "date_time": "2018-07-06 18:00:00", "timezone": "UTC", "timestamp": 1530900000, "time": "18:00:00"}, "extra_minute": null, "injury_time": null, "second": null, "added_time": null, "minute": null}, "group_id": null}]
我正试图将其直接从变量转换为数据帧，而不是上传JSON文件；主要是因为我从一个到API的get请求中获取JSON数据。
这是我的转换代码-
countries = spark.read.option("multiline", "true").json(json.dumps(ts)).show(false)
给我这个错误，请给我指正确的方向。我四处查看了一下，但我只看到了Scala的解决方案。正在查找相同的Python修复程序。
IllegalArgumentException：u'java.net.URISyntaxException：相对路径在绝对URI中："[｛\"排名\"：%20%7B%5C%22visitoteam_position%5C%22:%201，%20%5C%22localteam_position%5C%22:101%7D，%20%5C%22season_id%5C%22:%20892，%20%5C%22pitch%5C%22:0null，%20%5%C%22comments%5C%20:%20null，%20%5C%22id%5C%2%22:%2010342083，%20%5C%22venue_id%5C:22:%202773277，%20%%22信息%5C%22:%20%7B%5C%22本地团队信息%5C:22:%20null，%20%5C%22可视团队信息%5C%22:%20null%7D，%20%5C%22聚合id%5C%22:%20null，%20%5C%22round_id%5C%22:%20null，%0%5C%22visitoream_id%5C%22:1018647，%20%5C%22winning_ods_calculated%5C%22:%20false，%20%5C%22deleted%5C%20:20false，%20%5C%22caches%5C%25:%20%7B%5C%22clocalteam_cach_id%5C%22:%20472158，%20%5C%22vistorteam_cach _id%5C:22:%20474616%7 D，%20%5C%22出勤率%5C%22:%20null，%20%5C%22分数%5C%22:%20%7B%5C%22ft_score%5C%22:00null，%20%5C%22visitoteam_score%5C%22:%200，%20%5C%22et_score%5C%22:%20null，%20%5C%22localteam_pen_score%5C%20:%20null 0，%20%5C%22sstage_id%5C%22:%201728，%20%5C%22weather_report%5C%22:%20null，%20%5C%22league_id%5C%22:10732，%20%5C%22localteam_id%5C%22:%2015251，%20%5C%22time%5C%22:%20%7B%5C%22status%5C%22:20:5C%22NS%5C%22，%20%5C%22starting_at%5C%22:10%7B%5C%22date%5C%222:%20%5C%222018-07-06%5C%22%，%20%5C%22date_time%5C%22:00%5C%，%20%5C%22时区%5C%22:%20%5C22UTC%5C%22，%20%5C%22时间戳%5C%22:101530885600，%20%5C%22时间%5C%22:%20%5C%2214:00:00%5C%22%7D，%20%5C%22额外分钟%5C%22:%20null、%20%5C%22伤害_时间%5C%22:%20null，%20%5C/22秒%5C%22:10:20null、%20%5C%22添加_时间%5C%22:%20:20null，%20%5C%22分钟%5C%22:%20null%7D、%20%5C%22组_id%5C%22:%20%空%7D Visitorteam_position%5C%22:%201，%20%5C%22localteam_position%5C%22:%201%7D，%20%5C%22season_id%5C%22:10892，%20%5C%22cpitch%5C%22:22:%20null，%20%5C%22评论%5C%22:%20null，%20%5C%22id%5C%22:1010344350，%20%5C%22venue_id%5C%22:%208869，%20%5C%22formations%5C%20:%20%7B%5C%22localteam_formation%5C%22:0null，%20%5C%22vistorteam_formation%5C%22:22:%20null%7D，%20%5C%22aggregate_id%5C:22:%20%null，%20%5C%22 round_id%5C%22:%20null，%20%5C%22vistorteam_id%5C%22:%2018743，%20%5C%22winning_ods_calculated%5C%20:%20false，%20%5C%22已删除%5C%22:%20false，%20%5C%22教练%5C%22:%20%7B%5C%22本地团队_教练_id%5C/22:%20474720，%20%5C%22可视团队_教练id%5C%22:%20474796%7D，%20%5C%22出勤率%5C%22:%20null，%20%5C%22得分%5C%22:12:%20%7B%5C%22ft_score%5C:22:%20null _核心%5C%22:%200，%20%5C%22et_核心%5C%22:%20null，%20%5C%22localteam_pen_score%5C%22:%20null，%20%5C%22localteam_core%5C%22:%200，%20%5C%22ht_score%5C%22:%20null%7D，%20%5C%22refere_id%5C%22:%2016781，%20%5C%22stage_id%5C%22:201728，%20%5%C%22weather_report%5C%22:10:%20null，%20%5C%22league_id%5C%22:%20732，%20%5C%22clocalteam_id%5C%22:%2018704，%20%5C%22时间%5C%22:%20%7B%5C%22状态%5C%22:10%5C%22NS%5C%22%20%5C%22在%5C%22:%20%7B%5%C%22日期%5C%222:%20%5C%222018-07-06%5 C%22，%20%5C%22date_time%5C%22:%20%5C%222018-07-06%2018:00:00%5C%22，%20%5C/22时区%5C%22:%20%5C%22UTC%5C%22，%40%5C%22timestamp%5C%25:%201530900000，%20%5C%22time%5C%22:10%5C%2218:00:00%5C%22%7D，%20%5C%22extra_minute%5C%20:%20null，%20%5%C%22injury_time%5C%22:%20null，%20%5C%22秒%5C%22:%20%null，%20%5C%22添加时间%5C%22:%20null，%20%5C%22group_id%5C%22:%20null%7D%5D%22'
的输出
打印
Out[45]:
[{u'aggregate_id': None,
u'attendance': None,
u'coaches': {u'localteam_coach_id': 472158, u'visitorteam_coach_id': 474616},
u'commentaries': None,
u'deleted': False,
u'formations': {u'localteam_formation': None,
u'visitorteam_formation': None},
u'group_id': None,
u'id': 10342083,
u'league_id': 732,
u'localteam_id': 15251,
u'pitch': None,
u'referee_id': 18783,
u'round_id': None,
u'scores': {u'et_score': None,
u'ft_score': None,
u'ht_score': None,
u'localteam_pen_score': None,
u'localteam_score': 0,
u'visitorteam_pen_score': None,
u'visitorteam_score': 0},
u'season_id': 892,
u'stage_id': 1728,
u'standings': {u'localteam_position': 1, u'visitorteam_position': 1},
u'time': {u'added_time': None,
u'extra_minute': None,
u'injury_time': None,
u'minute': None,
u'second': None,
u'starting_at': {u'date': u'2018-07-06',
u'date_time': u'2018-07-06 14:00:00',
u'time': u'14:00:00',
u'timestamp': 1530885600,
u'timezone': u'UTC'},
u'status': u'NS'},
u'venue_id': 273277,
u'visitorteam_id': 18647,
u'weather_report': None,
u'winning_odds_calculated': False},
{u'aggregate_id': None,
u'attendance': None,
u'coaches': {u'localteam_coach_id': 474720, u'visitorteam_coach_id': 474796},
u'commentaries': None,
u'deleted': False,
u'formations': {u'localteam_formation': None,
u'visitorteam_formation': None},
u'group_id': None,
u'id': 10344350,
u'league_id': 732,
u'localteam_id': 18704,
u'pitch': None,
u'referee_id': 16781,
u'round_id': None,
u'scores': {u'et_score': None,
u'ft_score': None,
u'ht_score': None,
u'localteam_pen_score': None,
u'localteam_score': 0,
u'visitorteam_pen_score': None,
u'visitorteam_score': 0},
u'season_id': 892,
u'stage_id': 1728,
u'standings': {u'localteam_position': 1, u'visitorteam_position': 1},
u'time': {u'added_time': None,
u'extra_minute': None,
u'injury_time': None,
u'minute': None,
u'second': None,
u'starting_at': {u'date': u'2018-07-06',
u'date_time': u'2018-07-06 18:00:00',
u'time': u'18:00:00',
u'timestamp': 1530900000,
u'timezone': u'UTC'},
u'status': u'NS'},
u'venue_id': 8869,
u'visitorteam_id': 18743,
u'weather_report': None,
u'winning_odds_calculated': False}]
打印(json.dumps(ts))
Out[44]: '[{"standings": {"visitorteam_position": 1, "localteam_position": 1}, "season_id": 892, "pitch": null, "commentaries": null, "id": 10342083, "venue_id": 273277, "formations": {"localteam_formation": null, "visitorteam_formation": null}, "aggregate_id": null, "round_id": null, "visitorteam_id": 18647, "winning_odds_calculated": false, "deleted": false, "coaches": {"localteam_coach_id": 472158, "visitorteam_coach_id": 474616}, "attendance": null, "scores": {"ft_score": null, "visitorteam_score": 0, "et_score": null, "localteam_pen_score": null, "visitorteam_pen_score": null, "localteam_score": 0, "ht_score": null}, "referee_id": 18783, "stage_id": 1728, "weather_report": null, "league_id": 732, "localteam_id": 15251, "time": {"status": "NS", "starting_at": {"date": "2018-07-06", "date_time": "2018-07-06 14:00:00", "timezone": "UTC", "timestamp": 1530885600, "time": "14:00:00"}, "extra_minute": null, "injury_time": null, "second": null, "added_time": null, "minute": null}, "group_id": null}, {"standings": {"visitorteam_position": 1, "localteam_position": 1}, "season_id": 892, "pitch": null, "commentaries": null, "id": 10344350, "venue_id": 8869, "formations": {"localteam_formation": null, "visitorteam_formation": null}, "aggregate_id": null, "round_id": null, "visitorteam_id": 18743, "winning_odds_calculated": false, "deleted": false, "coaches": {"localteam_coach_id": 474720, "visitorteam_coach_id": 474796}, "attendance": null, "scores": {"ft_score": null, "visitorteam_score": 0, "et_score": null, "localteam_pen_score": null, "visitorteam_pen_score": null, "localteam_score": 0, "ht_score": null}, "referee_id": 16781, "stage_id": 1728, "weather_report": null, "league_id": 732, "localteam_id": 18704, "time": {"status": "NS", "starting_at": {"date": "2018-07-06", "date_time": "2018-07-06 18:00:00", "timezone": "UTC", "timestamp": 1530900000, "time": "18:00:00"}, "extra_minute": null, "injury_time": null, "second": null, "added_time": null, "minute": null}, "group_id": null}]'
提前感谢！
PS.-以下是关于如何使用Scala的链接-http://spark.apache.org/docs/2.2.0/sql-programming-guide.html#tab_scala_5
你说
我正试图将其直接从变量转换为数据帧，而不是上传JSON文件；主要是因为我从一个到API的get请求中获取JSON数据。
所以我假设ts是一个类似的变量
ts = """[{"standings": {"visitorteam_position": 1, "localteam_position": 1}, "season_id": 892, "pitch": null, "commentaries": null, "id": 10342083, "venue_id": 273277, "formations": {"localteam_formation": null, "visitorteam_formation": null}, "aggregate_id": null, "round_id": null, "visitorteam_id": 18647, "winning_odds_calculated": false, "deleted": false, "coaches": {"localteam_coach_id": 472158, "visitorteam_coach_id": 474616}, "attendance": null, "scores": {"ft_score": null, "visitorteam_score": 0, "et_score": null, "localteam_pen_score": null, "visitorteam_pen_score": null, "localteam_score": 0, "ht_score": null}, "referee_id": 18783, "stage_id": 1728, "weather_report": null, "league_id": 732, "localteam_id": 15251, "time": {"status": "NS", "starting_at": {"date": "2018-07-06", "date_time": "2018-07-06 14:00:00", "timezone": "UTC", "timestamp": 1530885600, "time": "14:00:00"}, "extra_minute": null, "injury_time": null, "second": null, "added_time": null, "minute": null}, "group_id": null}, {"standings": {"visitorteam_position": 1, "localteam_position": 1}, "season_id": 892, "pitch": null, "commentaries": null, "id": 10344350, "venue_id": 8869, "formations": {"localteam_formation": null, "visitorteam_formation": null}, "aggregate_id": null, "round_id": null, "visitorteam_id": 18743, "winning_odds_calculated": false, "deleted": false, "coaches": {"localteam_coach_id": 474720, "visitorteam_coach_id": 474796}, "attendance": null, "scores": {"ft_score": null, "visitorteam_score": 0, "et_score": null, "localteam_pen_score": null, "visitorteam_pen_score": null, "localteam_score": 0, "ht_score": null}, "referee_id": 16781, "stage_id": 1728, "weather_report": null, "league_id": 732, "localteam_id": 18704, "time": {"status": "NS", "starting_at": {"date": "2018-07-06", "date_time": "2018-07-06 18:00:00", "timezone": "UTC", "timestamp": 1530900000, "time": "18:00:00"}, "extra_minute": null, "injury_time": null, "second": null, "added_time": null, "minute": null}, "group_id": null}]"""
现在，json.dumps(ts)会给你一个字符串，.json(json.dumps(ts))将json.dumps(ts)视为一条路径，这就是错误消息建议你
IllegalArgumentException:u'java.net.URISyntaxException:绝对URI中的相对路径："[｛\"standings \"：%20%7B%5C%22vistorteam_position%5C%22:%201，%20%5C%22localteam_position%5C%22:%201%7D，%20%5C%22season_id%5C%22:10892，%20%5C
API文档说明了以下
.... :param path: string represents path to the JSON dataset, or a list of paths, or RDD of Strings storing JSON objects. .......
因此，如果您想使用变量ts，那么，正如API文档所说，您必须将字符串json.dumps(ts)转换为RDD作为
tsRDD = sc.parallelize([ts])
df = spark.read.option('multiline', "true").json(tsRDD)
它应该给出正确的数据帧
+------------+----------+----------------+------------+-------+----------+--------+--------+---------+------------+-----+----------+--------+------------+---------+--------+---------+------------------------------------------------------------------------+--------+--------------+--------------+-----------------------+
|aggregate_id|attendance|coaches |commentaries|deleted|formations|group_id|id |league_id|localteam_id|pitch|referee_id|round_id|scores |season_id|stage_id|standings|time |venue_id|visitorteam_id|weather_report|winning_odds_calculated|
+------------+----------+----------------+------------+-------+----------+--------+--------+---------+------------+-----+----------+--------+------------+---------+--------+---------+------------------------------------------------------------------------+--------+--------------+--------------+-----------------------+
|null |null |[472158, 474616]|null |false |[,] |null |10342083|732 |15251 |null |18783 |null |[,,,, 0,, 0]|892 |1728 |[1, 1] |[,,,,, [2018-07-06, 2018-07-06 14:00:00, 14:00:00, 1530885600, UTC], NS]|273277 |18647 |null |false |
|null |null |[474720, 474796]|null |false |[,] |null |10344350|732 |18704 |null |16781 |null |[,,,, 0,, 0]|892 |1728 |[1, 1] |[,,,,, [2018-07-06, 2018-07-06 18:00:00, 18:00:00, 1530900000, UTC], NS]|8869 |18743 |null |false |
+------------+----------+----------------+------------+-------+----------+--------+--------+---------+------------+-----+----------+--------+------------+---------+--------+---------+------------------------------------------------------------------------+--------+--------------+--------------+-----------------------+
root
|-- aggregate_id: string (nullable = true)
|-- attendance: string (nullable = true)
|-- coaches: struct (nullable = true)
| |-- localteam_coach_id: long (nullable = true)
| |-- visitorteam_coach_id: long (nullable = true)
|-- commentaries: string (nullable = true)
|-- deleted: boolean (nullable = true)
|-- formations: struct (nullable = true)
| |-- localteam_formation: string (nullable = true)
| |-- visitorteam_formation: string (nullable = true)
|-- group_id: string (nullable = true)
|-- id: long (nullable = true)
|-- league_id: long (nullable = true)
|-- localteam_id: long (nullable = true)
|-- pitch: string (nullable = true)
|-- referee_id: long (nullable = true)
|-- round_id: string (nullable = true)
|-- scores: struct (nullable = true)
| |-- et_score: string (nullable = true)
| |-- ft_score: string (nullable = true)
| |-- ht_score: string (nullable = true)
| |-- localteam_pen_score: string (nullable = true)
| |-- localteam_score: long (nullable = true)
| |-- visitorteam_pen_score: string (nullable = true)
| |-- visitorteam_score: long (nullable = true)
|-- season_id: long (nullable = true)
|-- stage_id: long (nullable = true)
|-- standings: struct (nullable = true)
| |-- localteam_position: long (nullable = true)
| |-- visitorteam_position: long (nullable = true)
|-- time: struct (nullable = true)
| |-- added_time: string (nullable = true)
| |-- extra_minute: string (nullable = true)
| |-- injury_time: string (nullable = true)
| |-- minute: string (nullable = true)
| |-- second: string (nullable = true)
| |-- starting_at: struct (nullable = true)
| | |-- date: string (nullable = true)
| | |-- date_time: string (nullable = true)
| | |-- time: string (nullable = true)
| | |-- timestamp: long (nullable = true)
| | |-- timezone: string (nullable = true)
| |-- status: string (nullable = true)
|-- venue_id: long (nullable = true)
|-- visitorteam_id: long (nullable = true)
|-- weather_report: string (nullable = true)
|-- winning_odds_calculated: boolean (nullable = true)
或者您可以将变量保存在一个文件中并使用
df = spark.read.option('multiline', "true").json(path to the file)
与上述建议一样完美
我希望这个答案对有帮助