Databricks sql warehouses #18273
+749
−34
There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,163 @@ | ||
| import databricks from "../../databricks.app.mjs"; | ||
| import utils from "../../common/utils.mjs"; | ||
| import { ConfigurationError } from "@pipedream/platform"; | ||
|
|
||
| export default { | ||
| key: "databricks-create-vector-search-index", | ||
| name: "Create Vector Search Index", | ||
| description: | ||
| "Creates a new vector search index in Databricks. [See the documentation](https://docs.databricks.com/api/workspace/vectorsearchindexes/createindex)", | ||
| version: "0.0.1", | ||
| type: "action", | ||
| props: { | ||
| databricks, | ||
| name: { | ||
| type: "string", | ||
| label: "Index Name", | ||
| description: | ||
| "A unique name for the index (e.g., `main_catalog.docs.en_wiki_index`).", | ||
| }, | ||
| endpointName: { | ||
| propDefinition: [ | ||
| databricks, | ||
| "endpointName", | ||
| ], | ||
| }, | ||
| indexType: { | ||
| type: "string", | ||
| label: "Index Type", | ||
| description: "Type of index (`DELTA_SYNC` or `DIRECT_ACCESS`).", | ||
| options: [ | ||
| "DELTA_SYNC", | ||
| "DIRECT_ACCESS", | ||
| ], | ||
| }, | ||
| primaryKey: { | ||
| type: "string", | ||
| label: "Primary Key", | ||
| description: "The primary key column for the index.", | ||
| }, | ||
| sourceTable: { | ||
| type: "string", | ||
| label: "Source Table", | ||
| description: | ||
| "The Delta table backing the index (required for `DELTA_SYNC`).", | ||
| optional: true, | ||
| }, | ||
| columnsToSync: { | ||
| type: "string[]", | ||
| label: "Columns to Sync", | ||
| description: | ||
| "List of columns to sync from the source Delta table. Example: `[\"id\", \"text\"]` (required for `DELTA_SYNC`).", | ||
| optional: true, | ||
| }, | ||
| embeddingSourceColumns: { | ||
| type: "string[]", | ||
| label: "Embedding Source Columns", | ||
| description: | ||
| "List of embedding source column configs. Each entry is a JSON object string like `{ \"embedding_model_endpoint_name\": \"e5-small-v2\", \"name\": \"text\" }`.Provide when Databricks computes embeddings (DELTA_SYNC).", | ||
| optional: true, | ||
| }, | ||
| schemaJson: { | ||
| type: "string", | ||
| label: "Schema JSON", | ||
| description: | ||
| "The schema of the index in JSON format. Example: `{ \"columns\": [{ \"name\": \"id\", \"type\": \"string\" }, { \"name\": \"text_vector\", \"type\": \"array<double>\" }] }`. Required for `DIRECT_ACCESS` indexes.", | ||
| optional: true, | ||
| }, | ||
| pipelineType: { | ||
| type: "string", | ||
| label: "Pipeline Type", | ||
| description: "Pipeline type for syncing (default: TRIGGERED).", | ||
| options: [ | ||
| "TRIGGERED", | ||
| "CONTINUOUS", | ||
| ], | ||
| optional: true, | ||
| default: "TRIGGERED", | ||
| }, | ||
| }, | ||
|
|
||
| async run({ $ }) { | ||
| const payload = { | ||
| name: this.name, | ||
| endpoint_name: this.endpointName, | ||
| index_type: this.indexType, | ||
| primary_key: this.primaryKey, | ||
| }; | ||
|
|
||
| if (this.indexType === "DELTA_SYNC") { | ||
| if (this.schemaJson) { | ||
| throw new ConfigurationError( | ||
| "`Schema JSON` is not allowed when indexType is DELTA_SYNC.", | ||
| ); | ||
| } | ||
| if (!this.sourceTable) { | ||
| throw new ConfigurationError( | ||
| "sourceTable is required when indexType is DELTA_SYNC.", | ||
| ); | ||
| } | ||
|
|
||
| const columnsToSync = Array.isArray(this.columnsToSync) | ||
| ? this.columnsToSync | ||
| : utils.parseObject(this.columnsToSync); | ||
|
|
||
| const embeddingSourceColumns = utils.parseObject(this.embeddingSourceColumns); | ||
| const hasSource = Array.isArray(embeddingSourceColumns) && embeddingSourceColumns.length > 0; | ||
| if (!hasSource) { | ||
| throw new ConfigurationError( | ||
| "embeddingSourceColumns is required when indexType is DELTA_SYNC.", | ||
| ); | ||
| } | ||
|
|
||
| const deltaSpec = { | ||
| source_table: this.sourceTable, | ||
| pipeline_type: this.pipelineType || "TRIGGERED", | ||
| }; | ||
| if (Array.isArray(columnsToSync) && columnsToSync.length > 0) { | ||
| deltaSpec.columns_to_sync = columnsToSync; | ||
| } | ||
| if (hasSource) { | ||
| for (const [ | ||
| i, | ||
| c, | ||
| ] of embeddingSourceColumns.entries()) { | ||
| if (!c?.name || !c?.embedding_model_endpoint_name) { | ||
| throw new ConfigurationError( | ||
| `embeddingSourceColumns[${i}] must include "name" and "embedding_model_endpoint_name"`, | ||
| ); | ||
| } | ||
| } | ||
| deltaSpec.embedding_source_columns = embeddingSourceColumns; | ||
| } | ||
| payload.delta_sync_index_spec = deltaSpec; | ||
| } | ||
|
|
||
| else if (this.indexType === "DIRECT_ACCESS") { | ||
| if (this.sourceTable || this.columnsToSync?.length || this.embeddingSourceColumns?.length) { | ||
| throw new ConfigurationError( | ||
| "`Source Table`,`Embedding Source Columns` and `Columns to Sync` are not allowed when indexType is DIRECT_ACCESS.", | ||
| ); | ||
| } | ||
| if (!this.schemaJson) { | ||
| throw new ConfigurationError( | ||
| "schemaJson is required when indexType is DIRECT_ACCESS.", | ||
| ); | ||
| } | ||
| payload.direct_access_index_spec = { | ||
| schema_json: this.schemaJson, | ||
| }; | ||
| } | ||
|
|
||
| const response = await this.databricks.createVectorSearchIndex({ | ||
| data: payload, | ||
| $, | ||
| }); | ||
|
|
||
| $.export( | ||
| "$summary", | ||
| `Successfully created vector search index: ${response?.name || this.name}`, | ||
| ); | ||
| return response; | ||
| }, | ||
| }; | ||
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change | ||||
|---|---|---|---|---|---|---|
| @@ -0,0 +1,64 @@ | ||||||
| import databricks from "../../databricks.app.mjs"; | ||||||
| import utils from "../../common/utils.mjs"; | ||||||
|
|
||||||
| export default { | ||||||
| key: "databricks-delete-vector-search-index-data", | ||||||
| name: "Delete Data from Vector Search Index", | ||||||
| description: | ||||||
| "Deletes rows from a Direct Access vector index by primary-key values. [See the documentation](https://docs.databricks.com/api/workspace/vectorsearchindexes/deletedatavectorindex)", | ||||||
| version: "0.0.1", | ||||||
| type: "action", | ||||||
| props: { | ||||||
| databricks, | ||||||
| endpointName: { | ||||||
| propDefinition: [ | ||||||
| databricks, | ||||||
| "endpointName", | ||||||
| ], | ||||||
| }, | ||||||
| indexName: { | ||||||
| propDefinition: [ | ||||||
| databricks, | ||||||
| "indexName", | ||||||
| ({ endpointName }) => ({ | ||||||
| endpointName, | ||||||
| }), | ||||||
| ], | ||||||
| }, | ||||||
| primaryKeys: { | ||||||
| type: "string[]", | ||||||
| label: "Primary Keys", | ||||||
| description: | ||||||
| "Values of the index’s primary key column to delete (e.g. `1`, `2`). These are the values for the column you set as `primary_key` when the index was created.", | ||||||
|
There was a problem hiding this comment.
Suggested change
|
||||||
| }, | ||||||
| }, | ||||||
| async run({ $ }) { | ||||||
| const parsedKeys = utils.parseObject(this.primaryKeys); | ||||||
|
|
||||||
| const keys = (Array.isArray(parsedKeys) | ||||||
| ? parsedKeys | ||||||
| : [ | ||||||
| parsedKeys, | ||||||
| ]) | ||||||
| .map((s) => String(s).trim()) | ||||||
| .filter(Boolean); | ||||||
|
|
||||||
| if (!keys.length) { | ||||||
| throw new Error("Please provide at least one primary key to delete."); | ||||||
| } | ||||||
|
|
||||||
| const response = await this.databricks.deleteVectorSearchData({ | ||||||
| indexName: this.indexName, | ||||||
| params: { | ||||||
| primary_keys: keys, | ||||||
| }, | ||||||
| $, | ||||||
| }); | ||||||
|
|
||||||
| $.export( | ||||||
| "$summary", | ||||||
| `Requested delete of ${keys.length} row(s) from index "${this.indexName}".`, | ||||||
| ); | ||||||
| return response; | ||||||
| }, | ||||||
| }; | ||||||
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,36 @@ | ||
| import databricks from "../../databricks.app.mjs"; | ||
|
|
||
| export default { | ||
| key: "databricks-delete-vector-search-index", | ||
| name: "Delete Vector Search Index", | ||
| description: "Deletes a vector search index in Databricks. [See the documentation](https://docs.databricks.com/api/workspace/vectorsearchindexes/deleteindex)", | ||
| version: "0.0.1", | ||
| type: "action", | ||
| props: { | ||
| databricks, | ||
| endpointName: { | ||
| propDefinition: [ | ||
| databricks, | ||
| "endpointName", | ||
| ], | ||
| }, | ||
| indexName: { | ||
| propDefinition: [ | ||
| databricks, | ||
| "indexName", | ||
| ({ endpointName }) => ({ | ||
| endpointName, | ||
| }), | ||
| ], | ||
| }, | ||
| }, | ||
| async run({ $ }) { | ||
| const response = await this.databricks.deleteVectorSearchIndex({ | ||
| indexName: this.indexName, | ||
| $, | ||
| }); | ||
|
|
||
| $.export("$summary", `Successfully deleted vector search index: ${this.indexName}`); | ||
| return response; | ||
| }, | ||
| }; |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.
Oops, something went wrong.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Uh oh!
There was an error while loading. Please reload this page.