remove ms from string date value, add mysql migration

This commit is contained in:
Francis Cao 2023-07-11 08:55:58 -07:00
parent 8abeba4c0d
commit 9726d02dcd
5 changed files with 40 additions and 35 deletions

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@ -1,19 +0,0 @@
-- CreateTable
CREATE TABLE `report` (
`report_id` VARCHAR(36) NOT NULL,
`user_id` VARCHAR(36) NOT NULL,
`website_id` VARCHAR(36) NOT NULL,
`type` VARCHAR(200) NOT NULL,
`name` VARCHAR(200) NOT NULL,
`description` VARCHAR(500) NOT NULL,
`parameters` VARCHAR(6000) NOT NULL,
`created_at` TIMESTAMP(0) NULL DEFAULT CURRENT_TIMESTAMP(0),
`updated_at` TIMESTAMP(0) NULL,
UNIQUE INDEX `report_report_id_key`(`report_id`),
INDEX `report_user_id_idx`(`user_id`),
INDEX `report_website_id_idx`(`website_id`),
INDEX `report_type_idx`(`type`),
INDEX `report_name_idx`(`name`),
PRIMARY KEY (`report_id`)
) DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;

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@ -1,16 +1,3 @@
/*
Warnings:
- The primary key for the `event_data` table will be changed. If it partially fails, the table could be left without primary key constraint.
- You are about to drop the column `event_data_type` on the `event_data` table. All the data in the column will be lost.
- You are about to drop the column `event_date_value` on the `event_data` table. All the data in the column will be lost.
- You are about to drop the column `event_id` on the `event_data` table. All the data in the column will be lost.
- You are about to drop the column `event_numeric_value` on the `event_data` table. All the data in the column will be lost.
- You are about to drop the column `event_string_value` on the `event_data` table. All the data in the column will be lost.
- Added the required column `data_type` to the `event_data` table without a default value. This is not possible if the table is not empty.
- Added the required column `event_data_id` to the `event_data` table without a default value. This is not possible if the table is not empty.
*/
-- AlterTable
ALTER TABLE `event_data` RENAME COLUMN `event_data_type` TO `data_type`;
ALTER TABLE `event_data` RENAME COLUMN `event_date_value` TO `date_value`;
@ -35,3 +22,32 @@ CREATE TABLE `session_data` (
INDEX `session_data_session_id_idx`(`session_id`),
PRIMARY KEY (`session_data_id`)
) DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;
-- CreateTable
CREATE TABLE `report` (
`report_id` VARCHAR(36) NOT NULL,
`user_id` VARCHAR(36) NOT NULL,
`website_id` VARCHAR(36) NOT NULL,
`type` VARCHAR(200) NOT NULL,
`name` VARCHAR(200) NOT NULL,
`description` VARCHAR(500) NOT NULL,
`parameters` VARCHAR(6000) NOT NULL,
`created_at` TIMESTAMP(0) NULL DEFAULT CURRENT_TIMESTAMP(0),
`updated_at` TIMESTAMP(0) NULL,
UNIQUE INDEX `report_report_id_key`(`report_id`),
INDEX `report_user_id_idx`(`user_id`),
INDEX `report_website_id_idx`(`website_id`),
INDEX `report_type_idx`(`type`),
INDEX `report_name_idx`(`name`),
PRIMARY KEY (`report_id`)
) DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;
-- EventData migration
UPDATE event_data
SET string_value = number_value
WHERE data_type = 2;
UPDATE event_data
SET string_value = CONCAT(REPLACE(DATE_FORMAT(date_value, '%Y-%m-%d %T'), ' ', 'T'), 'Z')
WHERE data_type = 4;

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@ -66,5 +66,5 @@ SET string_value = number_value
WHERE data_type = 2;
UPDATE "event_data"
SET string_value = CONCAT(REPLACE(TO_CHAR(date_value, 'YYYY-MM-DD HH24:MI:SS:MS'), ' ', 'T'), 'Z')
SET string_value = CONCAT(REPLACE(TO_CHAR(date_value, 'YYYY-MM-DD HH24:MI:SS'), ' ', 'T'), 'Z')
WHERE data_type = 4;

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@ -38,7 +38,11 @@ async function relationalQuery(data: {
websiteId,
eventKey: a.key,
stringValue:
a.dynamicDataType === DATA_TYPE.number ? parseFloat(a.value).toFixed(4) : a.value.toString(),
a.dynamicDataType === DATA_TYPE.number
? parseFloat(a.value).toFixed(4)
: a.dynamicDataType === DATA_TYPE.date
? a.value.split('.')[0] + 'Z'
: a.value.toString(),
numberValue: a.dynamicDataType === DATA_TYPE.number ? a.value : null,
dateValue: a.dynamicDataType === DATA_TYPE.date ? new Date(a.value) : null,
dataType: a.dynamicDataType,

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@ -20,7 +20,11 @@ export async function saveSessionData(data: {
sessionId,
key: a.key,
stringValue:
a.dynamicDataType === DATA_TYPE.number ? parseFloat(a.value).toFixed(4) : a.value.toString(),
a.dynamicDataType === DATA_TYPE.number
? parseFloat(a.value).toFixed(4)
: a.dynamicDataType === DATA_TYPE.date
? a.value.split('.')[0] + 'Z'
: a.value.toString(),
numberValue: a.dynamicDataType === DATA_TYPE.number ? a.value : null,
dateValue: a.dynamicDataType === DATA_TYPE.date ? new Date(a.value) : null,
dataType: a.dynamicDataType,