|
| 1 | +--- |
| 2 | +Title: Set custom expiration times / TTL |
| 3 | +alwaysopen: false |
| 4 | +categories: |
| 5 | +- docs |
| 6 | +- integrate |
| 7 | +- rs |
| 8 | +- rdi |
| 9 | +description: null |
| 10 | +group: di |
| 11 | +linkTitle: Set expiration times / TTL |
| 12 | +summary: How to set expiration times / TTL for keys |
| 13 | +type: integration |
| 14 | +weight: 40 |
| 15 | +--- |
| 16 | + |
| 17 | + |
| 18 | +You can configure custom key expiration times (TTL) for keys written to Redis by using the `expire` parameter in the `output` section of the job file. This parameter specifies the duration, in seconds, that a newly created key will remain in Redis before being automatically deleted. If the `expire` parameter is not provided, the keys will persist indefinitely. |
| 19 | + |
| 20 | +There are two ways to set the expiration time: |
| 21 | + |
| 22 | +- as a static value |
| 23 | +- as a dynamic value using a JMESPath or SQL expression |
| 24 | + |
| 25 | + |
| 26 | +## Static expiration time |
| 27 | + |
| 28 | +The following example sets the expiration time to 100 seconds for all keys: |
| 29 | + |
| 30 | +```yaml |
| 31 | +output: |
| 32 | + - uses: redis.write |
| 33 | + with: |
| 34 | + data_type: hash |
| 35 | + expire: 100 |
| 36 | +``` |
| 37 | +
|
| 38 | +## Dynamic expiration time |
| 39 | +
|
| 40 | +You can use a JMESPath or SQL expression to set the expiration time dynamically when it is based on a field in the source data. For example, you can set the expiration time to the value of a `ttl` field in the source data: |
| 41 | + |
| 42 | +```yaml |
| 43 | +output: |
| 44 | + - uses: redis.write |
| 45 | + with: |
| 46 | + data_type: hash |
| 47 | + expire: |
| 48 | + expression: ttl |
| 49 | + language: jmespath |
| 50 | +``` |
| 51 | + |
| 52 | +## Dynamic expiration time based on a date, datetime, or timestamp field |
| 53 | + |
| 54 | +In some cases, you can also set the expiration time based on a field that contains a date, datetime, or timestamp value, but it depends on the source database and the data types it supports. See the examples below for your specific source database and data type. |
| 55 | + |
| 56 | +### Oracle examples |
| 57 | + |
| 58 | +The transformation depends on the data type of the field in the source database: |
| 59 | + |
| 60 | +- `DATE` - represented by debezium as a 64-bit integer representing the milliseconds since epoch |
| 61 | + ```yaml |
| 62 | + output: |
| 63 | + - uses: redis.write |
| 64 | + with: |
| 65 | + data_type: hash |
| 66 | + expire: |
| 67 | + # To set the expiration time to a date field, convert the value to seconds and subtract the current time in seconds since epoch |
| 68 | + expression: EXPIRES_DATE / 1000 - STRFTIME('%s', 'now') |
| 69 | + language: sql |
| 70 | + ``` |
| 71 | +- `TIMESTAMP` - the value is represented by Debezium as a 64-bit integer and depends on the number of decimal places of precision of the column, representing fractions of a second. For example, if the column is defined as `TIMESTAMP(6)`, there are six decimal places and so the value is represented as microseconds since epoch (since there are 10^6 microseconds in each second). |
| 72 | + ```yaml |
| 73 | + output: |
| 74 | + - uses: redis.write |
| 75 | + with: |
| 76 | + data_type: hash |
| 77 | + expire: |
| 78 | + # To set the expiration time to a date field, convert the value to seconds (divider differs based on the fractional second precision) and subtract the current time in seconds since epoch. Example below is for 6 digits of precision. |
| 79 | + expression: EXPIRES_TIMESTAMP / 1000000 - STRFTIME('%s', 'now') |
| 80 | + language: sql |
| 81 | + ``` |
| 82 | +- `TIMESTAMP WITH TIME ZONE` - the value is represented as string representation of the timestamp with time zone information. |
| 83 | +- `TIMESTAMP WITH LOCAL TIME ZONE` - the value is represented as string representation of the timestamp with local time zone information. |
| 84 | + |
| 85 | + For both `TIMESTAMP WITH TIME ZONE` and `TIMESTAMP WITH LOCAL TIME ZONE`, a two-step approach is needed. First, calculate the difference between the given time and now in seconds and then invert the value. |
| 86 | + ```yaml |
| 87 | + transform: |
| 88 | + - uses: add_field |
| 89 | + with: |
| 90 | + fields: |
| 91 | + - field: expire_seconds |
| 92 | + language: jmespath |
| 93 | + expression: time_delta_seconds(EXPIRES_TS_TZ) |
| 94 | + output: |
| 95 | + - uses: redis.write |
| 96 | + with: |
| 97 | + data_type: hash |
| 98 | + expire: |
| 99 | + # `time_delta_seconds` Returns the number of seconds between a given dt and now. |
| 100 | + # A negative value means that the given dt is in the future, so we need to invert it. |
| 101 | + # A positive value means that the given dt is in the past, so set the expiration to -1 (expire immediately). |
| 102 | + expression: CASE WHEN expire_seconds < 0 THEN -expire_seconds ELSE -1 END |
| 103 | + language: sql |
| 104 | + ``` |
| 105 | +
|
| 106 | +---- |
| 107 | +
|
| 108 | +### SQL Server examples |
| 109 | +SQL Server supports the following date and time data types: |
| 110 | +
|
| 111 | +- `date` - represented in Debezium as number of days since epoch (1970-01-01). Please note that due to the lack of time information, this method is not very accurate. |
| 112 | + ```yaml |
| 113 | + output: |
| 114 | + - uses: redis.write |
| 115 | + with: |
| 116 | + data_type: hash |
| 117 | + expire: |
| 118 | + # Calculate the number of seconds equivalent to the number of days and subtract the current time in seconds since epoch. |
| 119 | + expression: (event_date * 86400) - strftime('%s', 'now') |
| 120 | + language: sql |
| 121 | + ``` |
| 122 | + |
| 123 | +- `datetime`, `smalldatetime` - represented in Debezium as number of milliseconds since epoch. |
| 124 | + ```yaml |
| 125 | + output: |
| 126 | + - uses: redis.write |
| 127 | + with: |
| 128 | + data_type: hash |
| 129 | + expire: |
| 130 | + # Since event_datetime is in miliseconds, you must divide it by 1000 to convert it to seconds. |
| 131 | + expression: event_datetime / 1000 - strftime('%s', 'now') |
| 132 | + language: sql |
| 133 | + ``` |
| 134 | +- `datetime2` - similar to `datetime` but with higher precision. For `datetime2(0-3)` the representation is the same as for `datetime`. For `datetime2(4-6)` it is the number of microseconds since epoch. and for `datetime2(7)` it is the number of nanoseconds since epoch. You can use the same approach as for `datetime` but you need to divide by 1000, 1000000 or 1000000000 depending on the precision. |
| 135 | + |
| 136 | +- `time` - the time of milliseconds since midnight. |
| 137 | + ```yaml |
| 138 | + output: |
| 139 | + - uses: redis.write |
| 140 | + with: |
| 141 | + data_type: hash |
| 142 | + expire: |
| 143 | + # Convert the time to seconds and subtract the current time in seconds since midnight. |
| 144 | + expression: (event_time / 1000.0) - |
| 145 | + ( |
| 146 | + CAST(strftime('%H', 'now') AS INTEGER) * 3600 + |
| 147 | + CAST(strftime('%M', 'now') AS INTEGER) * 60 + |
| 148 | + CAST(strftime('%S', 'now') AS INTEGER) |
| 149 | + ) |
| 150 | + language: sql |
| 151 | + ``` |
| 152 | +- `datetimeoffset` - represented as a timestamp with timezone information, where the timezone is GMT |
| 153 | + ```yaml |
| 154 | + output: |
| 155 | + - uses: redis.write |
| 156 | + with: |
| 157 | + data_type: hash |
| 158 | + expire: |
| 159 | + # Convert the time to seconds and subtract the current time in seconds since epoch. |
| 160 | + expression: strftime('%s', event_datetimeoffset) - strftime('%s', 'now') |
| 161 | + language: sql |
| 162 | + ``` |
| 163 | + |
| 164 | +<!-- TODO [ilianiliev-redis]: Test and document the dynamic expressions for the rest of the supported databases - MySQL, PostgresSQL, MongoDB --> |
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