Skip to content

Latest commit

 

History

History
173 lines (138 loc) · 10.7 KB

README.md

File metadata and controls

173 lines (138 loc) · 10.7 KB
Raw

spanner-change-streams-tail

run-tests godoc

A handy tool to "tail -f" Cloud Spanner Change Streams on the local machine.

Both GoogleSQL and PostgreSQL database dialects are supported.

Install

go install github.com/cloudspannerecosystem/spanner-change-streams-tail@latest

Usage

Usage:
  spanner-change-streams-tail [OPTIONS]

Options:
  -p, --project=  (required)   GCP Project ID
  -i, --instance= (required)   Cloud Spanner Instance ID
  -d, --database= (required)   Cloud Spanner Database ID
  -s, --stream=   (required)   Cloud Spanner Change Stream ID
  -f, --format=                Output format [text|json] (default: text)
      --start=                 Start timestamp with RFC3339 format (default: current timestamp)
      --end=                   End timestamp with RFC3339 format (default: none)
      --visualize-partitions   Visualize the change stream partitions in Graphviz DOT

Help Options:
  -h, -help                    Show this help message

Example

Simple example

By default, this tool shows the Data Change record in plan text.

$ spanner-change-streams-tail -p myproject -i myinstance -d mydb -s mystream
Reading the stream...
2022-05-19 06:49:15.093823 +0000 UTC | INSERT | Players | [{"keys":{"PlayerId":"29"},"new_values":{"Name":"foo"},"old_values":{}}]
2022-05-19 06:49:20.866495 +0000 UTC | DELETE | Players | [{"keys":{"PlayerId":"29"},"new_values":{},"old_values":{"Name":"foo"}}]
2022-05-20 13:44:32.486447 +0000 UTC | UPDATE | Players | [{"keys":{"PlayerId":"23"},"new_values":{"Name":"bar"},"old_values":{"Name":"foo"}}]
...

JSON format

With -f json option, you can get the results in JSON.

$ spanner-change-streams-tail -p myproject -i myinstance -d mydb -s mystream -f json
Reading the stream...
{"commit_timestamp":"2022-05-19T06:46:12.536575Z","record_sequence":"00000000","server_transaction_id":"NjQxOTE0MDE0MzM1MDQ4NTQ5NQ==","is_last_record_in_transaction_in_partition":true,"table_name":"Players","column_types":[{"name":"PlayerId","type":{"code":"INT64"},"is_primary_key":true,"ordinal_position":1},{"name":"Name","type":{"code":"STRING"},"is_primary_key":false,"ordinal_position":2}],"mods":[{"keys":{"PlayerId":"22"},"new_values":{"Name":"foo"},"old_values":{}}],"mod_type":"INSERT","value_capture_type":"OLD_AND_NEW_VALUES","number_of_records_in_transaction":1,"number_of_partitions_in_transaction":1}
{"commit_timestamp":"2022-05-19T09:45:59.480799Z","record_sequence":"00000000","server_transaction_id":"MTIwNjc4MTEyNTU3NDc1MDk5MjA=","is_last_record_in_transaction_in_partition":true,"table_name":"Players","column_types":[{"name":"PlayerId","type":{"code":"INT64"},"is_primary_key":true,"ordinal_position":1},{"name":"Name","type":{"code":"STRING"},"is_primary_key":false,"ordinal_position":2}],"mods":[{"keys":{"PlayerId":"23"},"new_values":{"Name":"bar"},"old_values":{}}],"mod_type":"INSERT","value_capture_type":"OLD_AND_NEW_VALUES","number_of_records_in_transaction":1,"number_of_partitions_in_transaction":1}
{"commit_timestamp":"2022-05-20T13:45:27.682335Z","record_sequence":"00000000","server_transaction_id":"MTE1NTE3OTU3NzM5MjEyMzkxMzI=","is_last_record_in_transaction_in_partition":true,"table_name":"Players","column_types":[{"name":"PlayerId","type":{"code":"INT64"},"is_primary_key":true,"ordinal_position":1},{"name":"Name","type":{"code":"STRING"},"is_primary_key":false,"ordinal_position":2}],"mods":[{"keys":{"PlayerId":"23"},"new_values":{"Name":"bar"},"old_values":{"Name":"foo"}}],"mod_type":"UPDATE","value_capture_type":"OLD_AND_NEW_VALUES","number_of_records_in_transaction":1,"number_of_partitions_in_transaction":1}
...

JSON format with jq

You can use jq command to modify the results.

$ spanner-change-streams-tail -p myproject -i myinstance -d mydb -s mystream -f json | jq '{ts:.commit_timestamp, type:.mod_type, table:.table_name}'
Reading the stream...
{
  "ts": "2022-05-20T08:13:45.695039Z",
  "type": "INSERT",
  "table": "Players"
}
{
  "ts": "2022-05-20T08:14:17.668655Z",
  "type": "DELETE",
  "table": "Players"
}
{
  "ts": "2022-05-20T13:46:27.347695Z",
  "type": "UPDATE",
  "table": "Players"
}
...

Start & End timestamp

With --start and --end options, you can specify the time boundary of the records that be read. Both options must be RFC3339 format.

$ spanner-change-streams-tail -p myproject -i myinstance -d mydb -s mystream --start='2022-05-19T14:28:00Z' --end='2022-05-19T15:04:00Z'
Reading the stream...
2022-05-19 14:28:50.566943 +0000 UTC | INSERT | Players | [{"keys":{"PlayerId":"29"},"new_values":{"Name":"foo"},"old_values":{}}]
2022-05-19 15:03:07.866495 +0000 UTC | DELETE | Players | [{"keys":{"PlayerId":"29"},"new_values":{},"old_values":{"Name":"foo"}}]
2022-05-19 15:03:28.907391 +0000 UTC | UPDATE | Players | [{"keys":{"PlayerId":"20"},"new_values":{"Name":"abc"},"old_values":{"Name":"foo"}}]

Verbose output

With -v, --verbose option, you can get the Heartbeat and Child Partitions records as well. Also, each result includes the partition_token that associates with the change record.

$ spanner-change-streams-tail -p myproject -i myinstance -d mydb -s mystream --verbose
Reading the stream...
{"partition_token":"","change_record":[{"data_change_record":[],"heartbeat_record":[],"child_partitions_record":[{"start_timestamp":"2022-05-20T08:23:10.12375Z","record_sequence":"00000001","child_partitions":[{"token":"AUKmAmgw5S0xbORt3X6EPHBTEXRL5H7VVRh1T7I0xeX_M04SnhhFYBOjQuQZ3AHCh6jGc3gsxAqOHRMHyinqts18NY-JY7Ym5fvSoAGouuSmH6Gff1LspwazfdBRY8_G1enbeBuQNa8b1AEG_KsuhFJCdsr6_Q","parent_partition_tokens":[]}]}]}]}
{"partition_token":"","change_record":[{"data_change_record":[],"heartbeat_record":[],"child_partitions_record":[{"start_timestamp":"2022-05-20T08:23:10.12375Z","record_sequence":"00000002","child_partitions":[{"token":"AUKmAmi65l6TU-0EGTTAj9zLPBU_aJJ1Jsy3JLIkWIH-SSb_nXfTb6X4CLmTQFSkZj-QL_NiGi3p0jGZNQZ8C1WF01GkgvIQ7Qaf4XFxVqSBgPuXBzdpLiye58fmj_Dz2lnV_LYTtPgQcdvOUGJU","parent_partition_tokens":[]}]}]}]}
{"partition_token":"AUKmAmgw5S0xbORt3X6EPHBTEXRL5H7VVRh1T7I0xeX_M04SnhhFYBOjQuQZ3AHCh6jGc3gsxAqOHRMHyinqts18NY-JY7Ym5fvSoAGouuSmH6Gff1LspwazfdBRY8_G1enbeBuQNa8b1AEG_KsuhFJCdsr6_Q","change_record":[{"data_change_record":[],"heartbeat_record":[{"timestamp":"2022-05-20T08:23:20.123938Z"}],"child_partitions_record":[]}]}
{"partition_token":"AUKmAmi65l6TU-0EGTTAj9zLPBU_aJJ1Jsy3JLIkWIH-SSb_nXfTb6X4CLmTQFSkZj-QL_NiGi3p0jGZNQZ8C1WF01GkgvIQ7Qaf4XFxVqSBgPuXBzdpLiye58fmj_Dz2lnV_LYTtPgQcdvOUGJU","change_record":[{"data_change_record":[],"heartbeat_record":[{"timestamp":"2022-05-20T08:23:20.123904Z"}],"child_partitions_record":[]}]}
...

Visualize partitions

With --visualize-partitions option, you can get the visualized partitions in Graphviz DOT format. You also need to specify --start and --end options to specify the time bound for visualization.

$ spanner-change-streams-tail -p myproject -i myinstance -d mydb -s mystream --start="2022-05-23T17:20:00+09:00" --end="2022-05-23T19:20:00+09:00" --visualize-partitions
Reading the stream and analyzing partitions...

digraph {
  node [shape=record];
  "AUKmAmidgXbEhh5eV1sR" [label="{token|start_timestamp|record_sequence}|{{AUKmAmidgXbEhh5eV1sR}|{2022-05-23T09:27:12Z}|{00000000}}"];
  "AUKmAmi9L9YIb2qduDyp" [label="{token|start_timestamp|record_sequence}|{{AUKmAmi9L9YIb2qduDyp}|{2022-05-23T09:03:33Z}|{00000000}}"];
  "AUKmAmj15z9icOuxjLip" [label="{token|start_timestamp|record_sequence}|{{AUKmAmj15z9icOuxjLip}|{2022-05-23T09:53:48Z}|{00000000}}"];
  "AUKmAmjTD8SgGdkyPRqR" [label="{token|start_timestamp|record_sequence}|{{AUKmAmjTD8SgGdkyPRqR}|{2022-05-23T08:20:00Z}|{00000001}}"];
  "AUKmAmjJ_KI60k-_yBcg" [label="{token|start_timestamp|record_sequence}|{{AUKmAmjJ_KI60k-_yBcg}|{2022-05-23T09:25:49Z}|{00000000}}"];
  "AUKmAmhpe-NDUcBTm4MH" [label="{token|start_timestamp|record_sequence}|{{AUKmAmhpe-NDUcBTm4MH}|{2022-05-23T09:53:18Z}|{00000000}}"];
  "AUKmAmj8bEIE227zJGuZ" [label="{token|start_timestamp|record_sequence}|{{AUKmAmj8bEIE227zJGuZ}|{2022-05-23T10:19:25Z}|{00000000}}"];
  "AUKmAmgDoM2U4AQTeLCK" [label="{token|start_timestamp|record_sequence}|{{AUKmAmgDoM2U4AQTeLCK}|{2022-05-23T10:19:25Z}|{00000000}}"];
  "root" [label="{token|start_timestamp|record_sequence}|{{root}|{0001-01-01T00:00:00Z}|{}}"];
  "AUKmAmj_kYtI0skOqool" [label="{token|start_timestamp|record_sequence}|{{AUKmAmj_kYtI0skOqool}|{2022-05-23T08:39:33Z}|{00000000}}"];
  "AUKmAmhnVDPUd6zZn-Vs" [label="{token|start_timestamp|record_sequence}|{{AUKmAmhnVDPUd6zZn-Vs}|{2022-05-23T08:39:33Z}|{00000000}}"];
  "AUKmAmiF2oA66F_yWhIL" [label="{token|start_timestamp|record_sequence}|{{AUKmAmiF2oA66F_yWhIL}|{2022-05-23T09:27:12Z}|{00000000}}"];
  "AUKmAmieKUi4_ECN8qCf" [label="{token|start_timestamp|record_sequence}|{{AUKmAmieKUi4_ECN8qCf}|{2022-05-23T08:20:00Z}|{00000002}}"];
  "AUKmAmivn5arzRwNTqm-" [label="{token|start_timestamp|record_sequence}|{{AUKmAmivn5arzRwNTqm-}|{2022-05-23T08:31:03Z}|{00000000}}"];
  "root" -> "AUKmAmieKUi4_ECN8qCf"
  "AUKmAmjTD8SgGdkyPRqR" -> "AUKmAmivn5arzRwNTqm-"
  "AUKmAmieKUi4_ECN8qCf" -> "AUKmAmhnVDPUd6zZn-Vs"
  "AUKmAmi9L9YIb2qduDyp" -> "AUKmAmiF2oA66F_yWhIL"
  "AUKmAmi9L9YIb2qduDyp" -> "AUKmAmidgXbEhh5eV1sR"
  "root" -> "AUKmAmjTD8SgGdkyPRqR"
  "AUKmAmivn5arzRwNTqm-" -> "AUKmAmjJ_KI60k-_yBcg"
  "AUKmAmj_kYtI0skOqool" -> "AUKmAmi9L9YIb2qduDyp"
  "AUKmAmhnVDPUd6zZn-Vs" -> "AUKmAmi9L9YIb2qduDyp"
  "AUKmAmjJ_KI60k-_yBcg" -> "AUKmAmj15z9icOuxjLip"
  "AUKmAmhpe-NDUcBTm4MH" -> "AUKmAmgDoM2U4AQTeLCK"
  "AUKmAmieKUi4_ECN8qCf" -> "AUKmAmj_kYtI0skOqool"
  "AUKmAmiF2oA66F_yWhIL" -> "AUKmAmhpe-NDUcBTm4MH"
  "AUKmAmidgXbEhh5eV1sR" -> "AUKmAmhpe-NDUcBTm4MH"
  "AUKmAmhpe-NDUcBTm4MH" -> "AUKmAmj8bEIE227zJGuZ"
}

Partitions

Go library

This repository also has changestreams package that can be used as a Go library to read the change streams from your Go application. You can get more details from the Godoc.

Note that changestreams package has limited scalability. If you need more scalable, reliable solution, you can use an official Dataflow connector.

Disclaimer

Please feel free to report issues and send pull requests, but note that this application is not officially supported as part of the Cloud Spanner product.