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BigQuery Module #24

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141 changes: 141 additions & 0 deletions modules/bigquery/README.md
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# Opinionated BigQuery module

TODO(jccb): add description.

## Example usage

```hcl
module "bq" {
source = "../modules/bigquery/"
project_id = "my-project"
datasets = [
{
id = "dataset1"
name = "dataset1"
description = "dataset1 description"
location = "EU"
labels = {
environment = "dev"
}
# default_partition_expiration_ms = 10000
# default_table_expiration_ms - 10000
} ]

dataset_access = {
dataset1 = {
"[email protected]" = "roles/bigquery.dataViewer"
}
}

tables = [
{
table_id = "table1"
dataset_id = "dataset1"
description = "dataset1 description"
labels = {
team = "sales"
}
schema = [
{
type = "DATE"
name = "date"
},
{
type = "STRING"
name = "name"
}
]
time_partitioning = {
field = "date"
type = "DAY"
}
}
]

views = [
{
dataset = "dataset1"
table = "view1"
query = "select date from `my-project.dataset1.table1`"
}
]
}
```

## Variables

| name | description | type | required |
|----------------|-------------------------------------------------------------|:------:|:--------:|
| project_id | The ID of the project where the datasets, tables, and views | string | ✓ |
| datasets | List of datasets to be created (see structure below) | string | |
| tables | List of tables to be created (see structure below) | string | |
| views | List of views to be created (see structure below) | string | |
| dataset_access | Dataset-level permissions to be granted | string | |

### dataset structure
The datasets list should contains objects with the following structure:

``` hcl
{
id = "dataset id"
name = "dataset name"
description = "dataset description"
location = "dataset location"
labels = { # optional
label1 = "value1"
}
default_partition_expiration_ms = 10000 # optional
default_table_expiration_ms - 10000 # optional
}

```

### table structure

``` hcl
{
table_id = "table name"
dataset_id = "table dataset"
description = "table description"
labels = {
label1 = "value1"
}
schema = [
{
type = "DATE"
name = "date"
}
{
type = "STRING"
name = "name"
}
]
}

```

You can optionally specify ```expiration_time```,
```time_partitioning``` and ```clustering``` for any table.


### views structure

The structure for the views field is just a dataset (where the view
will be created), the table (view name), and the query for the view. Keep in mind that the query should use the complete name for any table it references.

``` hcl
{
dataset = "dataset1"
table = "view1"
query = "select date from `my-project.dataset.table`"
}
```


## Outputs

| name | description |
|----------|----------------------------------------|
| datasets | Map of dataset objects keyed by name |
| tables | List of table objects |
| views | List of table objects created as views |
74 changes: 74 additions & 0 deletions modules/bigquery/main.tf
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/**
* Copyright 2019 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

resource "google_bigquery_dataset" "datasets" {
count = length(var.datasets)
project = var.project_id
dataset_id = var.datasets[count.index]["id"]
friendly_name = var.datasets[count.index]["name"]
description = var.datasets[count.index]["description"]
location = var.datasets[count.index]["location"]
labels = lookup(var.datasets[count.index], "labels", null)
default_table_expiration_ms = lookup(var.datasets[count.index], "default_table_expiration_ms", null)
default_partition_expiration_ms = lookup(var.datasets[count.index], "default_partition_expiration_ms", null)

dynamic "access" {
for_each = lookup(var.dataset_access, var.datasets[count.index]["id"], tomap({}))
content {
user_by_email = access.key
role = access.value
}
}

access {
role = "OWNER"
special_group = "projectOwners"
}
}

resource "google_bigquery_table" "tables" {
count = length(var.tables)
project = var.project_id
dataset_id = var.tables[count.index]["dataset_id"]
table_id = var.tables[count.index]["table_id"]
labels = var.tables[count.index]["labels"]
expiration_time = lookup(var.tables[count.index], "expiration_time", null)
clustering = lookup(var.tables[count.index], "clustering", null)
schema = jsonencode(var.tables[count.index]["schema"])

dynamic "time_partitioning" {
for_each = lookup(var.tables[count.index], "time_partitioning", false) == false ? [] : [1]
content {
field = var.tables[count.index]["time_partitioning"]["field"]
type = var.tables[count.index]["time_partitioning"]["type"]
expiration_ms = lookup(var.tables[count.index], "expiration_ms", null)
}
}

depends_on = [google_bigquery_dataset.datasets]
}

resource "google_bigquery_table" "views" {
count = length(var.views)
project = var.project_id
dataset_id = var.views[count.index]["dataset"]
table_id = var.views[count.index]["table"]
view {
query = var.views[count.index]["query"]
use_legacy_sql = false
}
depends_on = [google_bigquery_table.tables]
}
27 changes: 27 additions & 0 deletions modules/bigquery/outputs.tf
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/**
* Copyright 2019 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

output "datasets" {
value = zipmap(google_bigquery_dataset.datasets[*].dataset_id, google_bigquery_dataset.datasets)
}

output "tables" {
value = google_bigquery_table.tables
}

output "views" {
value = google_bigquery_table.views
}
70 changes: 70 additions & 0 deletions modules/bigquery/vars.tf
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/**
* Copyright 2019 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

variable "project_id" {
description = "Project ID"
type = string
}

variable "datasets" {
description = "Datatase IDs"
default = []
type = list
# type = list(object({
# id = string
# name = string
# description = string
# location = string
# # labels = map(string) # optional
# # default_partition_expiration_ms = number # optional
# # default_table_expiration_ms = number # optional
# }))
}

variable "tables" {
description = "Tables"
default = []
type = list
# type = list(object({
# table_id = string
# dataset_id = string
# labels = map(string)
# schema = string
# # expiration_time = number # optional
# # clustering = string # optional
# # time_partitioning = object({ # optional
# # field = string
# # type = string
# # expiration_ms = number # optional
# # }
# }))
}

variable "views" {
description = "Views"
default = []
type = list(object({
dataset = string
table = string
query = string
}))
}

variable "dataset_access" {
description = "Dataset permissions"
default = {}
type = map(map(string))
}