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Query Metrics

SET SESSION time_zone = '+00:00'

[]

SET
  SESSION time_zone = '+00:00'

SET SESSION time_zone = '+00:00';

SELECT t0.id AS id_1, t0.name01 AS name01_2, t0.name02 AS name02_3, t0.kana01 AS kana01_4, t0.kana02 AS kana02_5, t0.company_name AS company_name_6, t0.postal_code AS postal_code_7, t0.addr01 AS addr01_8, t0.addr02 AS addr02_9, t0.email AS email_10, t0.phone_number AS phone_number_11, t0.allergen_ids AS allergen_ids_12, t0.birth AS birth_13, t0.password AS password_14, t0.salt AS salt_15, t0.secret_key AS secret_key_16, t0.first_buy_date AS first_buy_date_17, t0.last_buy_date AS last_buy_date_18, t0.buy_times AS buy_times_19, t0.buy_total AS buy_total_20, t0.note AS note_21, t0.reset_key AS reset_key_22, t0.reset_expire AS reset_expire_23, t0.point AS point_24, t0.create_date AS create_date_25, t0.update_date AS update_date_26, t0.gmo_epsilon_credit_card_expiration_date AS gmo_epsilon_credit_card_expiration_date_27, t0.card_change_request_mail_send_date AS card_change_request_mail_send_date_28, t0.customer_status_id AS customer_status_id_29, t0.sex_id AS sex_id_30, t0.job_id AS job_id_31, t0.country_id AS country_id_32, t0.pref_id AS pref_id_33, t0.discriminator_type FROM dtb_customer t0 WHERE t0.email = ? AND t0.customer_status_id = ? AND t0.discriminator_type IN ('customer') LIMIT 1

[
  "hanjou@example.com"
  2
]

SELECT
  t0.id AS id_1,
  t0.name01 AS name01_2,
  t0.name02 AS name02_3,
  t0.kana01 AS kana01_4,
  t0.kana02 AS kana02_5,
  t0.company_name AS company_name_6,
  t0.postal_code AS postal_code_7,
  t0.addr01 AS addr01_8,
  t0.addr02 AS addr02_9,
  t0.email AS email_10,
  t0.phone_number AS phone_number_11,
  t0.allergen_ids AS allergen_ids_12,
  t0.birth AS birth_13,
  t0.password AS password_14,
  t0.salt AS salt_15,
  t0.secret_key AS secret_key_16,
  t0.first_buy_date AS first_buy_date_17,
  t0.last_buy_date AS last_buy_date_18,
  t0.buy_times AS buy_times_19,
  t0.buy_total AS buy_total_20,
  t0.note AS note_21,
  t0.reset_key AS reset_key_22,
  t0.reset_expire AS reset_expire_23,
  t0.point AS point_24,
  t0.create_date AS create_date_25,
  t0.update_date AS update_date_26,
  t0.gmo_epsilon_credit_card_expiration_date AS gmo_epsilon_credit_card_expiration_date_27,
  t0.card_change_request_mail_send_date AS card_change_request_mail_send_date_28,
  t0.customer_status_id AS customer_status_id_29,
  t0.sex_id AS sex_id_30,
  t0.job_id AS job_id_31,
  t0.country_id AS country_id_32,
  t0.pref_id AS pref_id_33,
  t0.discriminator_type
FROM
  dtb_customer t0
WHERE
  t0.email = ?
  AND t0.customer_status_id = ?
  AND t0.discriminator_type IN ('customer')
LIMIT
  1

SELECT t0.id AS id_1, t0.name01 AS name01_2, t0.name02 AS name02_3, t0.kana01 AS kana01_4, t0.kana02 AS kana02_5, t0.company_name AS company_name_6, t0.postal_code AS postal_code_7, t0.addr01 AS addr01_8, t0.addr02 AS addr02_9, t0.email AS email_10, t0.phone_number AS phone_number_11, t0.allergen_ids AS allergen_ids_12, t0.birth AS birth_13, t0.password AS password_14, t0.salt AS salt_15, t0.secret_key AS secret_key_16, t0.first_buy_date AS first_buy_date_17, t0.last_buy_date AS last_buy_date_18, t0.buy_times AS buy_times_19, t0.buy_total AS buy_total_20, t0.note AS note_21, t0.reset_key AS reset_key_22, t0.reset_expire AS reset_expire_23, t0.point AS point_24, t0.create_date AS create_date_25, t0.update_date AS update_date_26, t0.gmo_epsilon_credit_card_expiration_date AS gmo_epsilon_credit_card_expiration_date_27, t0.card_change_request_mail_send_date AS card_change_request_mail_send_date_28, t0.customer_status_id AS customer_status_id_29, t0.sex_id AS sex_id_30, t0.job_id AS job_id_31, t0.country_id AS country_id_32, t0.pref_id AS pref_id_33, t0.discriminator_type FROM dtb_customer t0 WHERE t0.email = 'hanjou@example.com' AND t0.customer_status_id = 2 AND t0.discriminator_type IN ('customer') LIMIT 1;