SQL 比较运算符问题)...在第 1 行的 '>'2021-06-01' AND 100*(d1_close-close)/close>'29'' 附近使用正确的语法")

SQL Comparison Operator Issue) ...right syntax to use near '>'2021-06-01' AND 100*(d1_close-close)/close>'29'' at line 1")

我正在尝试 运行 通过 python 文件进行 SQL 查询,但收到错误消息

... right syntax to use near '>'2021-06-01' AND 100*(d1_close-close)/close>'29'' at line 1")

我的查询代码如下:

sql = "WITH comparing_price AS (SELECT CODE, DATE, OPEN, high, low, close, volume,"\
                "LEAD(OPEN, 1) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd1_open',"\
                "LEAD(OPEN, 2) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd2_open',"\
                "LEAD(OPEN, 3) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd3_open',"\
                "LEAD(high, 1) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd1_high',"\
                "LEAD(high, 2) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd2_high',"\
                "LEAD(high, 3) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd3_high',"\
                "LEAD(high, 4) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd4_high',"\
                "LEAD(low, 1) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd1_low',"\
                "LEAD(low, 2) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd2_low',"\
                "LEAD(low, 3) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd3_low',"\
                "LEAD(close, 1) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd1_close',"\
                "LEAD(close, 2) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd2_close',"\
                "LEAD(close, 3) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd3_close',"\
                "LEAD(volume, 1) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd1_volume',"\
                "LEAD(volume, 2) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd2_volume',"\
                "AVG(close) OVER (PARTITION BY CODE ORDER BY DATE, DATE ROWS BETWEEN 2 preceding AND 2 following) AS 'd2_MA5',"\
                "AVG(close) OVER (PARTITION BY CODE ORDER BY DATE, DATE ROWS BETWEEN 7 preceding AND 2 following) AS 'd2_MA10',"\
                "AVG(close) OVER (PARTITION BY CODE ORDER BY DATE, DATE ROWS BETWEEN 17 preceding AND 2 following) AS 'd2_MA20',"\
                "AVG(close) OVER (PARTITION BY CODE ORDER BY DATE, DATE ROWS BETWEEN 57 preceding AND 2 following) AS 'd2_MA60',"\
                "AVG(close) OVER (PARTITION BY CODE ORDER BY DATE, DATE ROWS BETWEEN 117 preceding AND 2 following) AS 'd2_MA120',"\
                "STD(close) OVER (PARTITION BY CODE ORDER BY DATE, DATE ROWS BETWEEN 17 preceding AND 2 following) AS 'd2_std'"\
            "FROM daily_price)"\
        "SELECT * "\
        "FROM comparing_price"\
        "WHERE DATE>\'2021-06-01\' AND 100*(d1_close-close)/close>\'29\'"
        curs.execute(sql)

我也尝试过如下不同的版本:

conditions=('2021-06-01','29')
...
....
"WHERE DATE>%s AND 100*(d1_close-close)/close>%s"
curs.execute(sql, conditions)

UPDATE)) 我认为语法错误出在比较运算符中。如何将比较运算符从 python 发送到 SQL?

三重引号允许您在不使用字符串连接的情况下编写查询,因为字符串可以跨越多行:

sql = """WITH comparing_price AS (SELECT CODE, DATE, OPEN, high, low, close, volume,
                LEAD(OPEN, 1) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd1_open',
                LEAD(OPEN, 2) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd2_open',
                LEAD(OPEN, 3) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd3_open',
                "LEAD(high, 1) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd1_high',
                LEAD(high, 2) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd2_high',
                LEAD(high, 3) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd3_high',
                LEAD(high, 4) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd4_high',
                LEAD(low, 1) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd1_low',
                LEAD(low, 2) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd2_low',
                LEAD(low, 3) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd3_low',
                LEAD(close, 1) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd1_close',
                LEAD(close, 2) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd2_close',"\
                LEAD(close, 3) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd3_close',
                LEAD(volume, 1) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd1_volume',
                LEAD(volume, 2) OVER (PARTITION BY CODE ORDER BY DATE) AS 'd2_volume',
                AVG(close) OVER (PARTITION BY CODE ORDER BY DATE, DATE ROWS BETWEEN 2 preceding AND 2 following) AS 'd2_MA5',
                AVG(close) OVER (PARTITION BY CODE ORDER BY DATE, DATE ROWS BETWEEN 7 preceding AND 2 following) AS 'd2_MA10',
                AVG(close) OVER (PARTITION BY CODE ORDER BY DATE, DATE ROWS BETWEEN 17 preceding AND 2 following) AS 'd2_MA20',
                AVG(close) OVER (PARTITION BY CODE ORDER BY DATE, DATE ROWS BETWEEN 57 preceding AND 2 following) AS 'd2_MA60',
                AVG(close) OVER (PARTITION BY CODE ORDER BY DATE, DATE ROWS BETWEEN 117 preceding AND 2 following) AS 'd2_MA120',
                STD(close) OVER (PARTITION BY CODE ORDER BY DATE, DATE ROWS BETWEEN 17 preceding AND 2 following) AS 'd2_std'
            FROM daily_price)
        SELECT * 
        FROM comparing_price
        WHERE DATE > '2021-06-01' AND 100*(d1_close-close)/close"""

这也使得测试更容易,因为您只需将查询复制到另一个工具即可 运行 它。