SNOWFLAKE DOCS DIFF

ドキュメント変更履歴 2026-08-12

2026-08-12全 8,339 ページ改訂 22削除 0影響大 0仕様変更 1内容更新 17軽微な更新 4

総括は生成されていません(claude CLI が利用できなかった可能性があります)。

仕様変更(1 件)

Compute setup for Snowflake Notebooks in Workspaces

仕様変更改訂Snowsight UI33行追加・7行削除

(この変更は要約対象外です。diff を参照してください)

判定根拠: SQL 構文/コードブロックの増減 (+3/-0)

差分を表示
--- ahttps://docs.snowflake.com/en/user-guide/ui-snowsight/notebooks-in-workspaces/notebooks-in-workspaces-compute-setup+++ bhttps://docs.snowflake.com/en/user-guide/ui-snowsight/notebooks-in-workspaces/notebooks-in-workspaces-compute-setup@@ -44,7 +44,4 @@ code or the terminal in the Workspace file system and the `/tmp` directory are also removed. -Writing files to the Workspace directory from code or the terminal is not supported. For information on persisting files, see-[Working with the file system](#label-notebooks-work-with-files).- ### Resume @@ -95,5 +92,34 @@ to better align with your usage patterns and cost optimization strategies. -To change idle timeout values (including the default value) for notebook services in your account, contact your Snowflake account team or Snowflake Support.+<a id="label-nb-in-ws-idle-timeout-admin-config"></a>++### Administrator configuration++#### Notebook service idle timeout++Account administrators can set the `NOTEBOOK_VNEXT_IDLE_TIMEOUT_OPTIONS_MINUTES` account parameter to control which idle timeout options appear when users create or edit a notebook service.++Set the parameter to a comma-separated string of minutes with no spaces, such as `15,30,60,120,240,480,1440`. The first value appears as the pre-selected option in the **Idle timeout** field. To encourage most users to use a specific timeout, put that value first in the list.++- Minimum value: `15`+- Allowed values: `15,30,60,120,240,480,1440,2160,2880,4320`+- Default list: `1440,15,30,60,120,240,480,2160,2880,4320`++Keep the following in mind when you configure this parameter:++- Only the ACCOUNTADMIN role can set this parameter.+- The parameter is account-level. After you set it, the list applies to all notebook services in the account.+- Existing notebook services aren't changed unless a user edits the service.+- After you set the parameter, refresh the page to see the updated list. There can be a lag of 5 minutes before the change appears.++The following example sets the idle timeout options to 15, 30, and 60 minutes, with 15 minutes pre-selected:++```sql+USE ROLE ACCOUNTADMIN;++ALTER ACCOUNT SET NOTEBOOK_VNEXT_IDLE_TIMEOUT_OPTIONS_MINUTES = '15,30,60';+```++#### Compute pool auto suspension  You can configure the AUTO_SUSPEND_SECS parameter for each compute pool. Once all services on the compute pool (including notebook and other services) are idle, the compute pool is suspended according to the value set in AUTO_SUSPEND_SECS.@@ -203,7 +229,7 @@ maintenance. -## Multi-node Distributed Training Support (with Snowflake Container Runtime=2.3)--This notebook is optimized for Snowflake Container Runtime 2.3, which introduces support for multi-node clusters. This allows you to scale your ML workloads (like PyTorch, XGBoost, and LightGBM) across multiple nodes for faster training.+## Multi-node Distributed Training Support (with Snowflake Container Runtime 2.3 or above)++This notebook is optimized for Snowflake Container Runtime 2.3 or above, which introduces support for multi-node clusters. This allows you to scale your ML workloads (like PyTorch, XGBoost, and LightGBM) across multiple nodes for faster training.  Use the doc link to get more information on running ML workloads on multi-node clusters, refer to ths documentation: [https://docs.snowflake.com/en/developer-guide/snowflake-ml/container-runtime-multi-node](https://docs.snowflake.com/en/developer-guide/snowflake-ml/container-runtime-multi-node) 

内容の更新(17 件)

About Openflow Connector for Oracle

内容更新改訂Loading & Unloading Data219行追加・70行削除

(この変更は要約対象外です。diff を参照してください)

変更内容: 本文を更新(219行追加・70行削除)

差分を表示
--- ahttps://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/oracle/about+++ bhttps://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/oracle/about@@ -39,5 +39,5 @@ ## Licensing models and critical constraints -The %oracleofc% supports two distinct licensing models. You must select the correct+The %oracleofc% supports three distinct licensing models. You must select the correct model before installation. Failure to select the correct model might result in deployment failure or unintended financial commitments.@@ -53,10 +53,12 @@ terms. -### 1. Embedded License (Snowflake-provided)+### 1. Embedded license for 36-month commitment (Snowflake-provided)++In Openflow, this license option is displayed as **Oracle Embedded License**.  Snowflake provides the Oracle XStream license to you directly for a fee. This model allows you to consume XStream replication without a direct contract with Oracle. For more information, see-[Embedded license details](#label-oracle-embedded-license-details) and the+[Embedded license details for 36-month commitment](#label-oracle-embedded-license-details-36) and the [Openflow Connector for Oracle Addendum](https://www.snowflake.com/en/legal/optional-offerings/offering-specific-terms/openflow-oracle-terms/). @@ -78,5 +80,5 @@       <td> -License and Support & Maintenance (S&M) fees are drawn from your Snowflake+Monthly license fees and Support & Maintenance (S&M) fees are drawn from your Snowflake Capacity. @@ -92,6 +94,6 @@  - **Post-term (36+ months)**: After the initial 36-month term, the license fee-  drops to $0, but the S&M fee continues annually.-- **Lock-out risk**: If you opt-out of S&M renewal, the connector will be+  drops to $0, but the S&M fee auto-renews in 12-month increments, billed monthly.+- **Lock-out risk**: If you opt out of S&M renewal, the connector will be   permanently locked when S&M coverage ends. Unlocking the connector requires   purchasing a new Embedded License, which triggers a new 36-month commitment@@ -117,5 +119,4 @@ The following customers are ineligible: -- Public sector entities. - Customers purchasing Snowflake through the GCP Marketplace. - Customers contracted with Snowflake through a third-party reseller.@@ -127,9 +128,13 @@ </div> -### 2. Independent license (Bring Your Own License - BYOL)--You provide your own Oracle license that includes XStream entitlements (for example, Oracle-GoldenGate license). For more information, see-[Independent license (BYOL) details](#label-oracle-byol-license-details).+### 2. Embedded license for 12-month commitment (Snowflake-provided)++In Openflow, this license option is displayed as **Oracle Embedded License (Public Sector)**.++Snowflake provides the Oracle XStream license to you directly for a fee. This model+allows you to consume XStream replication without a direct contract with Oracle.+For more information, see+[Embedded license details for 12-month commitment](#label-oracle-embedded-license-details-12) and the+[Openflow Connector for Oracle Addendum](https://www.snowflake.com/en/legal/optional-offerings/offering-specific-terms/openflow-oracle-terms/).  <div className="colwidths-given">@@ -148,4 +153,79 @@     <tr>       <td>Billing</td>+      <td>++One-time license fee and annual Support & Maintenance (S&M) fees are drawn from+your Snowflake Capacity.++</td>+    </tr>+    <tr>+      <td>Commitment</td>+      <td>++Activation initiates a non-cancelable 12-month term (after the 60-day trial), with+license fees paid upfront in full and S&M fees billed annually.++</td>+    </tr>+    <tr>+      <td>Lifecycle</td>+      <td>++- **Post-term (12+ months)**: After the initial 12-month term, the license fee+  drops to $0, but the S&M fee auto-renews in 12-month increments, billed annually.+- **Lock-out risk**: If you opt out of S&M renewal, the connector will be+  permanently locked when S&M coverage ends. Unlocking the connector requires+  purchasing a new Embedded License, which triggers a new 12-month commitment+  at full price.++</td>+    </tr>+    <tr>+      <td>Management UI</td>+      <td>++All license actions (Start/Cancel Trial, Monitor Usage, Opt-out) are performed+by the ORGADMIN in %sf-web-interface% under+**Admin** %raa% **Terms** %raa% **Openflow for Oracle**.+For step-by-step instructions, see [](/user-guide/data-integration/openflow/connectors/oracle/manage-commercial-terms).++</td>+    </tr>+    <tr>+      <td>Restrictions</td>+      <td>++The following customers are ineligible:++- Customers purchasing Snowflake through the GCP Marketplace.++</td>+    </tr>+  </tbody>++</div>++### 3. Independent license (Bring Your Own License - BYOL)++You provide your own Oracle license that includes XStream entitlements (for example, Oracle+GoldenGate license). For more information, see+[Independent license (BYOL) details](#label-oracle-byol-license-details).++<div className="colwidths-given">++  <colgroup>+    <col style={{width: "20.0%"}} />+    <col style={{width: "80.0%"}} />+  </colgroup>+  <thead>+    <tr>+      <th>Term</th>+      <th>Details</th>+    </tr>+  </thead>+  <tbody>+    <tr>+      <td>Billing</td>       <td>No additional licensing fees from Snowflake. Standard storage and compute costs (for example, Openflow Compute) will apply.</td>     </tr>@@ -156,5 +236,5 @@     <tr>       <td>Usage</td>-      <td>Mandatory for public sector, GCP Marketplace, and reseller customers.</td>+      <td>Mandatory for GCP Marketplace customers.</td>     </tr>   </tbody>@@ -166,8 +246,9 @@ ## Choosing an Oracle XStream licensing model -The %oracleofc% requires a paid license for Oracle XStream services. Two licensing+The %oracleofc% requires a paid license for Oracle XStream services. Three licensing models are available: -- Embedded Oracle License+- Oracle Embedded License (36-month commitment)+- Oracle Embedded License (12-month commitment) - Independent Oracle License (Bring Your Own License - BYOL) @@ -177,12 +258,14 @@    <colgroup>-    <col style={{width: "20.0%"}} />-    <col style={{width: "40.0%"}} />-    <col style={{width: "40.0%"}} />+    <col style={{width: "18.0%"}} />+    <col style={{width: "27.0%"}} />+    <col style={{width: "27.0%"}} />+    <col style={{width: "28.0%"}} />   </colgroup>   <thead>     <tr>       <th>Consideration</th>-      <th>Embedded License</th>+      <th>Oracle Embedded License (36-month commitment)</th>+      <th>Oracle Embedded License (12-month commitment)</th>       <th>Independent License (BYOL)</th>     </tr>@@ -193,6 +276,13 @@       <td> -Customers who need to license Oracle XStream technology and want to purchase it-directly through their Snowflake agreement.+Customers who need to license Oracle XStream technology directly through their+Snowflake agreement and prefer a monthly payment schedule over 36 months.++</td>+      <td>++Customers who need to license Oracle XStream technology through their Snowflake+agreement but can't agree to a multi-year commitment or prefer an upfront+payment option instead of monthly payments.  </td>@@ -208,7 +298,17 @@       <td> -Billed through Snowflake based on the number of processor cores on your source-Oracle DB. Involves a non-cancelable 36-month commitment. Also billed for support-and maintenance services.+Billed monthly through Snowflake based on the number of processor cores on your+source Oracle DB. Involves a non-cancelable 36-month commitment. Also billed+monthly for support and maintenance services.++Additionally, standard storage and compute costs (for example, Openflow Compute) will apply.++</td>+      <td>++Billed upfront through Snowflake based on the number of processor cores on your+source Oracle DB. Involves a non-cancelable 12-month commitment where all+license fees are paid upfront in full. Also billed ... (truncated) 

差分が長いため、途中まで表示しています。

SnowConvert AI - Recent Release Notes

内容更新改訂Migrations209行追加・0行削除

(この変更は要約対象外です。diff を参照してください)

変更内容: 本文を更新(209行追加・0行削除)

差分を表示
--- ahttps://docs.snowflake.com/en/migrations/snowconvert-docs/general/release-notes/release-notes/README+++ bhttps://docs.snowflake.com/en/migrations/snowconvert-docs/general/release-notes/release-notes/README@@ -2,4 +2,213 @@  The SnowConvert AI tool is subject to the [Conversion Software Terms of Use](https://www.snowflake.com/en/legal/technical-services-and-education/conversion-software-terms/).++## Version 2.40.0 (Aug 11, 2026)++### CLI++#### New Features++- Added `scai code convert --list-settings` command and `recommend-settings` plugin sub-skill.+- Added `scai data list` command showing connection and database information with affinity filtering.+- Added `scai test etl-validate --pipeline` regex filter for selective ETL pipeline validation.+- Added `scai assessment report` command for migration assessment report generation.+- Added `scai project info` command that reports local config without requiring a Snowflake connection.+- Added worker primitives with local worker `--no-server` mode and SPCS `--service-name` support.+- Added parallelism support for Code Deployment.++#### Improvements++- Shortened DMO and DAE virtual environment paths on Windows to avoid `MAX_PATH` limitations.+- Improved natural-key lookup joins to value-align joins that have no foreign key edge.++#### Bug Fixes++- Fixed an issue where Spectre markup characters in terminal output were not properly escaped.+- Fixed a mismatch between the doctor's schema validator and DEW config format.++### Conversion Engine++#### New Features++##### Oracle++- Added emulation of cursor `%ISOPEN` as a manual `BOOLEAN` flag instead of emitting SSC-EWI-OR0128.+- Added translation of single-column `BULK COLLECT INTO` a dense collection to `SELECT ARRAY_AGG(col) INTO :arr`.+- Added translation of provably-safe `JSON_TABLE` subset to Snowflake `FLATTEN`.+- Added translation of local associative arrays using the `OBJECT` type.+- Added resolution of unqualified cross-schema object references through unique synonym fallback.+- Added combined OverallProcedure and OverallFunction Assessment CSV output family.++##### SQL Server++- Added routing of `ALTER TABLE` masking policies to `masking_policies.sql`.++##### Teradata++- Added parsing of positional bind parameters (`:1`, `:2`).++##### Druid++- Added registration of Druid query code units in the Code Unit Registry.++##### DataStage++- Added DataStage `.pjb` (ISX PJB) parser frontend for processing DataStage jobs.++##### General++- Added registration of masking policy objects in the Code Unit Registry.++#### Bug Fixes++##### Oracle++- Fixed parsing of schema-qualified sequence `CURRVAL`/`NEXTVAL` so the EWI correctly fires.+- Fixed parsing and marking of `CREATE TABLE` partitioning clauses and DB links.+- Fixed `UNPIVOT IN`-list labels to carry across as identifier aliases.+- Fixed emitting a supported exception code for `RAISE_APPLICATION_ERROR`.+- Fixed routing of record/`%ROWTYPE` field `:= NULL` through `OBJECT_INSERT`.+- Fixed translation of structured UDT assignments through the `OBJECT` pipeline.+- Fixed a `MultiReplace` crash on labeled `OPEN FOR` OUT cursor.+- Fixed parsing of `bool`, `file`, `specific`, `uid`, `empty`, `global`, and `clone` as unquoted identifiers.+- Fixed suppression of SSC-EWI-0094 false positive for loop labels.++##### SQL Server++- Fixed conversion of `FOR XML PATH('') + STUFF` idiom to `LISTAGG`.+- Fixed renaming of scalar SQL UDF parameters that collide with body columns.+- Fixed table-valued parameter and `RETURNS TABLE` identifiers.+- Fixed reformatting of packed date literals compared against date columns.++##### Teradata++- Fixed recognition of SQL Assistant `?NAME` client-side named parameters.+- Fixed removal of `NULL CALL` clause on SQL UDFs with SSC-FDM-TD0059 advisory.++##### Druid++- Fixed emitting the aggregate expression in a native-query `groupBy` `HAVING` clause.++##### SSIS++- Fixed `SanitizeEmptyElements` incorrectly deleting data-carrying elements, which caused packages to be silently dropped.++##### Redshift++- Fixed various conversion issues identified through systematic verification.++##### BigQuery++- Fixed various conversion issues identified through systematic verification.++##### Sybase++- Fixed various conversion issues identified through systematic verification.++##### General++- Improved PK/FK column reference binding to their definition name through the dialect key factory.+- Fixed symmetric PK-to-PK inferred foreign keys to emit at most one canonical direction.+- Fixed various cross-platform conversion issues identified through systematic verification.++### Data Validation++#### New Features++- Added "Cloud-Direct" extraction strategy which writes data files directly to cloud storage services instead of writing to disk first.+- Added Iceberg v2-compatible L1 and L3 profile support for data validation.+- Added Iceberg DEA Parquet packaging with codec support, typed timestamps, and UTC homogenization.+- Added support for geographic and geometry data types for BigQuery data migration and validation.+- Added support for geographic and geometry data types for Redshift data migration and validation.+- Added in-warehouse L3 set-difference gate with multiplicity and `MINUS` support.+- Added Snowflake key inference with inline resolve for in-warehouse data validation.+- Added orchestrator-side L1 schema comparison for the in-warehouse lane.+- Added orchestrator-side L2 metrics comparison for the in-warehouse lane.+- Added in-warehouse validation routing.+- Added support for BigQuery `ARRAY<INT64>` and parameterized `STRUCT` in DMO partition strategy.++#### Improvements++- Improved initial partition sync to fix watermark issues.+- Improved handling of `initialWaterMark` when incremental strategy is switched.+- Improved early failure reporting when `trackModifications=true` is set with Snowpipe as the ingestion mechanism.+- Adjusted parameterization of data types for cases in which tables are created from scratch.+- Improved Teradata incremental source isolation and baseline diagnostics.+- Improved extraction of `OdbcConnectionStringBuilder` across all ODBC dialect configs.+- Clustered `CELL_VALIDATION_RESULTS` and `ROW_VALIDATION_RESULTS` tables for improved query performance.++#### Bug Fixes++- Fixed preservation of zero-valued `ordinal_position` and `scale` in `read_schema_from_stage`.+- Fixed target-only columns now being flagged as L1 schema failures.+- Fixed `NaT` sentinel value replacement with regular `None` before converting to Polars DataFrame.+- Fixed a race condition related to the task chain "Extract schema" to "Determine Partition Strategy".+- Fixed `Decimal` zero being rendered as scientific notation in the data types harness.+- Fixed "Clear partition" tasks failing with case-insensitive partition keys.+- Fixed cell early-stop combined with AT and Snowpipe DV configuration.+- Fixed a race condition in the `COMPLETE_TASK` definition for complex task chains.++### Others++#### Testing Framework++##### New Features++- Added coverage collector with history fetch for test execution tracking.+- Added support for SQL Server `DATETIMEOFFSET` (ODBC type -155) in baseline capture.+- Added auto-sorting of result sets for order-independent TVF validation.++##### Improvements++- Made `model-config.toml` the source of truth for lane models in `scai test seed`.+- Annotated empty results with `vacuous_match` for clearer test diagnostics.+- Replaced generic error with a descriptive message when validate selects zero tests.+- Improved target database, schema, and task name resolution from the CUR.+- Improved SSIS package folder, project, and store resolution from the source server.+- Improved SQL Server identifier handling by unquoting at the point of use instead of in the seed.+- Improved reporting of unusable row-comparison index key... (truncated) 

差分が長いため、途中まで表示しています。

Openflow Connector for Oracle: Enable and manage commercial terms

内容更新改訂Loading & Unloading Data93行追加・11行削除

(この変更は要約対象外です。diff を参照してください)

変更内容: 本文を更新(93行追加・11行削除)

差分を表示
--- ahttps://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/oracle/manage-commercial-terms+++ bhttps://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/oracle/manage-commercial-terms@@ -56,10 +56,11 @@ Complete the steps for the license model you selected during configuration: -- [Option A: Embedded license (Snowflake-provided)](#label-oracle-embedded-license-setup)-- [Option B: Independent license / BYOL](#label-oracle-byol-license-setup)--<a id="label-oracle-embedded-license-setup"></a>--### Option A: Embedded license (Snowflake-provided)+- [Option A: Embedded license for 36-month commitment (Snowflake-provided)](#label-oracle-embedded-license-setup-36)+- [Option B: Embedded license for 12-month commitment (Snowflake-provided)](#label-oracle-embedded-license-setup-12)+- [Option C: Independent license / BYOL](#label-oracle-byol-license-setup)++<a id="label-oracle-embedded-license-setup-36"></a>++### Option A: Embedded license for 36-month commitment (Snowflake-provided)  For this licensing model, you must activate the trial to enable the connector.@@ -133,6 +134,6 @@     <tr>       <td>Post-term S&M renewal (after month 36)</td>-      <td>The license fee drops to $0. The annual Support & Maintenance (S&M) fee continues. You may opt out of S&M renewal in the **Openflow for Oracle** dashboard.</td>-      <td>If you opt out and S&M coverage expires, the connector is permanently locked. To resume, you must purchase a new embedded license, which resets the 36-month commitment.</td>+      <td>The license fee drops to $0. The Support & Maintenance (S&M) fee auto-renews in 12-month increments, billed monthly. You may opt out of S&M renewal in the **Openflow for Oracle** dashboard.</td>+      <td>If you opt out and S&M coverage expires, the connector is permanently locked. To resume, you must purchase a new Embedded License, which resets the 36-month commitment.</td>     </tr>   </tbody>@@ -140,7 +141,88 @@ </div> +<a id="label-oracle-embedded-license-setup-12"></a>++### Option B: Embedded license for 12-month commitment (Snowflake-provided)++For this licensing model, you must activate the trial to enable the connector.++Even if you install the connector, data replication doesn't start until this step is complete.++#### Step 1: Start the trial (prerequisite)++To start the trial:++1. Sign in to %sf-web-interface-link%.+2. In the navigation menu, select **Admin** %raa% **Terms**.+3. Select **Openflow for Oracle** tab.+4. Locate the **Trial Status** card (status: "Ready to Activate").+5. Select **Start Trial**.+6. Accept the terms to start the 60-day trial period.++This action enables the captureChangeOracle processor, allowing it to connect to+your database.++#### Step 2: Configure connector++After starting the trial, install and configure the connector. For more information,+see [Configure the connector](/user-guide/data-integration/openflow/connectors/oracle/setup-connector).++After the connector successfully connects to the source database, a subscription is+automatically created and displayed in the **Openflow for Oracle** dashboard.++#### Step 3: Verify inventory++1. Sign in to %sf-web-interface-link%.+2. In the navigation menu, select **Admin** %raa% **Terms**.+3. Select the **Openflow for Oracle** tab.+4. Review the **Subscription Inventory** section.+5. Verify that the CPU core count matches your physical source database hardware.+6. If the core count is incorrect, update the runtime configuration.++#### Step 4: Lifecycle management++For more information about the licensing models and terms, see+[Licensing models and critical constraints](#label-oracle-licensing-models).++The following table describes the actions available at each stage of the embedded+license lifecycle.++<div className="colwidths-given">++  <colgroup>+    <col style={{width: "20.0%"}} />+    <col style={{width: "30.0%"}} />+    <col style={{width: "50.0%"}} />+  </colgroup>+  <thead>+    <tr>+      <th>Stage</th>+      <th>Action</th>+      <th>Result</th>+    </tr>+  </thead>+  <tbody>+    <tr>+      <td>Trial period (Day 1 to 60)</td>+      <td>Select **Cancel Trial** in the **Openflow for Oracle** dashboard before Day 60.</td>+      <td>Oracle XStream services stop. No charges are incurred.</td>+    </tr>+    <tr>+      <td>12-month commitment (Day 61+)</td>+      <td>No action required. If the trial isn't canceled, the non-cancelable 12-month term begins automatically on Day 61, with license fees paid upfront in full.</td>+      <td>The license can't be canceled during this period. If your Snowflake agreement is terminated, the full remaining balance is due immediately.</td>+    </tr>+    <tr>+      <td>Post-term S&M renewal (after month 12)</td>+      <td>The license fee drops to $0. The Support & Maintenance (S&M) fee auto-renews in 12-month increments, billed annually. You may opt out of S&M renewal in the **Openflow for Oracle** dashboard.</td>+      <td>If you opt out and S&M coverage expires, the connector is permanently locked. To resume, you must purchase a new Embedded License, which resets the 12-month commitment.</td>+    </tr>+  </tbody>++</div>+ <a id="label-oracle-byol-license-setup"></a> -### Option B: Independent license / BYOL+### Option C: Independent license / BYOL  If you are using the independent license (Bring Your Own License), no prior trial activation@@ -162,4 +244,4 @@  The **Start Trial** button doesn't appear for this license model, and the-36-month lifecycle rules don't apply. You are responsible for maintaining a valid-Oracle license that includes XStream entitlements.+Embedded License commitment-period rules don't apply. You are responsible for+maintaining a valid Oracle license that includes XStream entitlements. 

BLOCK_STORAGE_HISTORY view

内容更新改訂Account Usage22行追加・15行削除

(この変更は要約対象外です。diff を参照してください)

変更内容: 本文を更新(22行追加・15行削除)

差分を表示
--- ahttps://docs.snowflake.com/en/sql-reference/account-usage/block_storage_history+++ bhttps://docs.snowflake.com/en/sql-reference/account-usage/block_storage_history@@ -9,4 +9,6 @@  # BLOCK_STORAGE_HISTORY view++%spcs% is available to accounts in [AWS, Microsoft Azure, and Google Cloud Platform commercial regions](#label-na-general-regions), with some exceptions. For more information, see [](#label-snowpark-containers-overview-available-regions).  Use the BLOCK_STORAGE_HISTORY view in the ACCOUNT_USAGE schema to query the average daily block storage and snapshot usage for an account within the last 365 days.@@ -45,4 +47,9 @@     </tr>     <tr>+      <td>COMPUTE_POOL_ID</td>+      <td>NUMBER</td>+      <td>Internal, Snowflake-generated identifier of the compute pool associated with this storage usage. For the `SNAPSHOT` storage type, this field is NULL.</td>+    </tr>+    <tr>       <td>BYTES</td>       <td>NUMBER</td>@@ -67,5 +74,5 @@ - Latency for the view can be up to 180 minutes (3 hours). - The view provides daily block storage and snapshot usage within the last 365 days (1 year) for an account.-- Snapshots are not associated with compute pools; therefore, for snapshots the view has the NULL value in the COMPUTE_POOL_NAME column.+- Snapshots are not associated with compute pools; therefore, for snapshots the view has the NULL value in the COMPUTE_POOL_NAME and COMPUTE_POOL_ID columns. - The BYTES column shows average usage of block storage volumes for a specific day, for a specific storage type, and for a specific compute pool (where appropriate) in the Snowflake account. For example, consider the following: @@ -85,11 +92,11 @@    ```text-  +-------------------------------+--------------------+-------------------------+----------------+-----------------------+-----------------------------+-  | USAGE_DATE                    | STORAGE_TYPE       | COMPUTE_POOL_NAME       |       BYTES    |       ADDITIONAL_IOPS |       ADDITIONAL_THROUGHPUT |-  |-------------------------------+--------------------+-------------------------+----------------|-----------------------|-----------------------------|-  | 2025-02-01 00:00:00.000 -0700 | BLOCK_STORAGE      | POOL_1                  | 2,684,354,560  | 250.000000000         | 25.000000000                |-  | 2025-02-01 00:00:00.000 -0700 | BLOCK_STORAGE      | POOL_2                  | 5,368,709,120  | 0.50000000            | 0.500000000                 |-  | 2025-02-01 00:00:00.000 -0700 | SNAPSHOT           | NULL                    | 21,474,836,480 | 0.000000000           | 0.000000000                 |-  +-------------------------------+--------------------+-------------------------+----------------+-----------------------+-----------------------------++  +-------------------------------+--------------------+-------------------------+-----------------+----------------+-----------------------+-----------------------------++  | USAGE_DATE                    | STORAGE_TYPE       | COMPUTE_POOL_NAME       | COMPUTE_POOL_ID |       BYTES    |       ADDITIONAL_IOPS |       ADDITIONAL_THROUGHPUT |+  |-------------------------------+--------------------+-------------------------+-----------------+----------------|-----------------------|-----------------------------|+  | 2025-02-01 00:00:00.000 -0700 | BLOCK_STORAGE      | POOL_1                  | 1               | 2,684,354,560  | 250.000000000         | 25.000000000                |+  | 2025-02-01 00:00:00.000 -0700 | BLOCK_STORAGE      | POOL_2                  | 2               | 5,368,709,120  | 0.50000000            | 0.500000000                 |+  | 2025-02-01 00:00:00.000 -0700 | SNAPSHOT           | NULL                    | NULL            | 21,474,836,480 | 0.000000000           | 0.000000000                 |+  +-------------------------------+--------------------+-------------------------+-----------------+----------------+-----------------------+-----------------------------+   ``` @@ -119,11 +126,11 @@    ```text-  +-------------------------------+--------------------+-------------------------+----------------+-----------------------+-----------------------------+-  | USAGE_DATE                    | STORAGE_TYPE       | COMPUTE_POOL_NAME       |       BYTES    |       ADDITIONAL_IOPS |       ADDITIONAL_THROUGHPUT |-  |-------------------------------+--------------------+-------------------------+----------------|-----------------------|-----------------------------|-  | 2025-02-01 00:00:00.000 -0700 | BLOCK_STORAGE      | POOL_1                  | 2,684,354,560  | 250.000000000         | 25.000000000                |-  | 2025-02-01 00:00:00.000 -0700 | BLOCK_STORAGE      | POOL_2                  | 5,368,709,120  | 0.50000000            | 0.500000000                 |-  | 2025-02-01 00:00:00.000 -0700 | SNAPSHOT           | NULL                    | 21,474,836,480 | 0.000000000           | 0.000000000                 |-  +-------------------------------+--------------------+-------------------------+----------------+-----------------------+-----------------------------++  +-------------------------------+--------------------+-------------------------+-----------------+----------------+-----------------------+-----------------------------++  | USAGE_DATE                    | STORAGE_TYPE       | COMPUTE_POOL_NAME       | COMPUTE_POOL_ID |       BYTES    |       ADDITIONAL_IOPS |       ADDITIONAL_THROUGHPUT |+  |-------------------------------+--------------------+-------------------------+-----------------+----------------|-----------------------|-----------------------------|+  | 2025-02-01 00:00:00.000 -0700 | BLOCK_STORAGE      | POOL_1                  | 1               | 2,684,354,560  | 250.000000000         | 25.000000000                |+  | 2025-02-01 00:00:00.000 -0700 | BLOCK_STORAGE      | POOL_2                  | 2               | 5,368,709,120  | 0.50000000            | 0.500000000                 |+  | 2025-02-01 00:00:00.000 -0700 | SNAPSHOT           | NULL                    | NULL            | 21,474,836,480 | 0.000000000           | 0.000000000                 |+  +-------------------------------+--------------------+-------------------------+-----------------+----------------+-----------------------+-----------------------------+   ```  

Snowflake Openflow version history

内容更新改訂Loading & Unloading Data29行追加・0行削除

(この変更は要約対象外です。diff を参照してください)

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--- ahttps://docs.snowflake.com/en/user-guide/data-integration/openflow/version-history+++ bhttps://docs.snowflake.com/en/user-guide/data-integration/openflow/version-history@@ -254,4 +254,33 @@ </div> +## August 11, 2026++<a id="label-runtime-server-2026-8-11-2"></a>++### Runtime Server 2026.8.11.2++- Security patches and dependency upgrades.+- Moved from Java 21 to Java 25.+- Upgraded the Runtime UI to version 0.85.0.++<a id="label-runtime-extensions-2026-8-11-10"></a>++### Runtime Extensions 2026.8.11.10++- CDC SQL Server: Added `Max Batch Size = -1` to disable Change Tracking pagination, reducing repeated `CHANGETABLE` evaluation for large backlogs. Enabling `Use Snapshot Isolation` is recommended when using this mode.+- CDC SQL Server: Prevented brief source outages during Azure SQL Managed Instance maintenance or similar failover windows from removing all tables from replication; empty database discovery now retries.+- CDC Oracle: Added multi-PDB replication for users granted `SET CONTAINER`, while preserving existing single-PDB behavior otherwise.+- Salesforce: Formula views now return typed NULL values for formulas referencing unreplicated relationship lookup fields instead of failing view creation.+- CDC SQL Server: Fixed a concurrency race that could cause Change Tracking to silently skip changes for idle tables.++<a id="label-connectors-2026-8-11-1"></a>++### Connectors 2026.8.11.1++- Dataverse 0.32.0: Added an `Include Formatted Values` parameter so ingestion can include display-friendly formatted values while preserving the original raw values.+- Dataverse 0.32.0: Fixed incorrect `_SNOWFLAKE_ID` values by copying the resolved primary-key value instead of the primary-key field name.+- Salesforce 1.13.0: Special objects now use `queryAll` to ingest archived Task and Event records and soft-deleted records. Existing objects require a connector state reset and full reload to retrieve historical records.+- Salesforce 1.13.0: Retained failed Bulk API query jobs so they remain available for troubleshooting.+ ## August 6, 2026  

Organization Usage

内容更新改訂Organization Usage24行追加・0行削除

(この変更は要約対象外です。diff を参照してください)

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--- ahttps://docs.snowflake.com/en/sql-reference/organization-usage+++ bhttps://docs.snowflake.com/en/sql-reference/organization-usage@@ -91,4 +91,10 @@     </tr>     <tr>+      <td>[BLOCK_STORAGE_HISTORY](/sql-reference/organization-usage/block_storage_history)</td>+      <td>Historical</td>+      <td>24 hours</td>+      <td>[Premium view](/user-guide/organization-accounts-premium-views) (only available in organization account).</td>+    </tr>+    <tr>       <td>[CLASSES](/sql-reference/organization-usage/classes)</td>       <td>Object</td>@@ -111,4 +117,10 @@       <td>[COMPLETE_TASK_GRAPHS](/sql-reference/organization-usage/complete_task_graphs)</td>       <td>Historical</td>+      <td>24 hours</td>+      <td>[Premium view](/user-guide/organization-accounts-premium-views) (only available in organization account).</td>+    </tr>+    <tr>+      <td>[COMPUTE_POOLS](/sql-reference/organization-usage/compute_pools)</td>+      <td>Object</td>       <td>24 hours</td>       <td>[Premium view](/user-guide/organization-accounts-premium-views) (only available in organization account).</td>@@ -517,4 +529,10 @@     </tr>     <tr>+      <td>[SERVICES](/sql-reference/organization-usage/services)</td>+      <td>Object</td>+      <td>24 hours</td>+      <td>[Premium view](/user-guide/organization-accounts-premium-views) (only available in organization account).</td>+    </tr>+    <tr>       <td>[SESSION_POLICIES](/sql-reference/organization-usage/session_policies)</td>       <td>Object</td>@@ -557,4 +575,10 @@       <td>6 hours</td>       <td>This view is deprecated. Use the [BACKUPS](/sql-reference/account-usage/backups) view instead.</td>+    </tr>+    <tr>+      <td>[SNOWPARK_CONTAINER_SERVICES_HISTORY](/sql-reference/organization-usage/snowpark_container_services_history)</td>+      <td>Historical</td>+      <td>24 hours</td>+      <td>[Premium view](/user-guide/organization-accounts-premium-views) (only available in organization account).</td>     </tr>     <tr> 

Analytical search

内容更新改訂Snowflake Cortex (AI & ML)16行追加・7行削除

(この変更は要約対象外です。diff を参照してください)

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--- ahttps://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents-analytical-search+++ bhttps://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents-analytical-search@@ -30,4 +30,8 @@ Cortex Search narrows the full corpus down to a relevant candidate set by finding documents about a specific topic, isolating records containing a particular clause, or filtering to a date range. This happens without scanning every document with a large model. +The agent runs these searches as SQL queries that call the+[SEARCH_PREVIEW](/sql-reference/functions/search_preview-snowflake-cortex) function. The search results are materialized+in an intermediate table so that subsequent SQL and AI function calls can analyze the result set.+ **Adaptive depth** controls how far to search. Rather than using a fixed top-k limit, the agent dynamically adjusts the search depth based on the relevance of results: extending when the tail of results is still relevant to the question,@@ -42,4 +46,9 @@ - **AI_AGG**: Summarizes and aggregates textual evidence at scale. - **SQL**: Groups, counts, joins, ranks, trends, and calculates deltas over the extracted data.++The agent generates and runs the SQL on a Snowflake virtual warehouse. In the Cortex Agents Run API response,+this implicit SQL execution is represented by+[`system_execute_sql`](/user-guide/snowflake-cortex/cortex-agents-run#label-snowflake-agents-run-non-streaming-response)+tool-use and tool-result blocks. You don't add this tool to the agent specification.  ### Planning and auto-routing@@ -78,10 +87,10 @@  1. Classify the query as analytical and generate an execution plan.-2. Run structured search queries (for example, `search(date="2025-05", query="issues")`) with adaptive depth to capture-   the full relevant set of results.-3. Apply AI_FILTER to keep only rows related to customer issues.-4. Apply AI_EXTRACT to pull issue type and customer name from each document.-5. Use AI_AGG and SQL to aggregate results by issue type.-6. Return a precise, data-backed answer.+2. Run structured search queries through `SEARCH_PREVIEW` with adaptive depth to capture the full relevant set of results.+3. Materialize the search results in an intermediate table.+4. Apply AI_FILTER to keep only rows related to customer issues.+5. Apply AI_EXTRACT to pull issue type and customer name from each document.+6. Use AI_AGG and SQL to aggregate results by issue type.+7. Return a precise, data-backed answer.  Example output:@@ -160,5 +169,5 @@ ## Cost considerations -Analytical search incurs costs associated with agent orchestration and the AI functions it uses+Analytical search incurs costs associated with agent orchestration, warehouse compute for SQL execution, and the AI functions it uses ([](/sql-reference/functions/ai_extract), [](/sql-reference/functions/ai_filter), and [](/sql-reference/functions/ai_agg)). Adaptive depth limits unnecessary AI function calls by stopping the search 

COMPUTE_POOLS view

内容更新改訂Account Usage12行追加・5行削除

(この変更は要約対象外です。diff を参照してください)

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--- ahttps://docs.snowflake.com/en/sql-reference/account-usage/compute_pools+++ bhttps://docs.snowflake.com/en/sql-reference/account-usage/compute_pools@@ -9,4 +9,6 @@  # COMPUTE_POOLS view++%spcs% is available to accounts in [AWS, Microsoft Azure, and Google Cloud Platform commercial regions](#label-na-general-regions), with some exceptions. For more information, see [](#label-snowpark-containers-overview-available-regions).  Use this view to get a historical view of compute pools (creation, deletion) in your account for the last 365 days.@@ -33,4 +35,9 @@       <td>VARCHAR</td>       <td>Compute pool name.</td>+    </tr>+    <tr>+      <td>ID</td>+      <td>NUMBER</td>+      <td>Internal, Snowflake-generated identifier for the compute pool.</td>     </tr>     <tr>@@ -66,20 +73,20 @@     <tr>       <td>CREATED</td>-      <td>TIMESTAMP</td>+      <td>TIMESTAMP_LTZ</td>       <td>Date and time when the compute pool was created.</td>     </tr>     <tr>       <td>LAST_RESUMED</td>-      <td>TIMESTAMP</td>+      <td>TIMESTAMP_LTZ</td>       <td>Date and time when the suspended compute pool was last resumed.</td>     </tr>     <tr>       <td>LAST_ALTERED</td>-      <td>TIMESTAMP</td>+      <td>TIMESTAMP_LTZ</td>       <td>Date and time when the compute pool was last updated.</td>     </tr>     <tr>       <td>DELETED</td>-      <td>TIMESTAMP</td>+      <td>TIMESTAMP_LTZ</td>       <td>Date and time when the compute pool was deleted.</td>     </tr>@@ -106,5 +113,5 @@     <tr>       <td>APPLICATION_ID</td>-      <td>VARCHAR</td>+      <td>NUMBER</td>       <td>Application ID for which the compute pool was created. Null if the compute pool was not created for an application.</td>     </tr> 

SERVICES view

内容更新改訂Account Usage15行追加・0行削除

(この変更は要約対象外です。diff を参照してください)

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--- ahttps://docs.snowflake.com/en/sql-reference/account-usage/services+++ bhttps://docs.snowflake.com/en/sql-reference/account-usage/services@@ -128,4 +128,14 @@     </tr>     <tr>+      <td>LAST_SUSPENDED</td>+      <td>TIMESTAMP_LTZ</td>+      <td>Last suspended time of the service.</td>+    </tr>+    <tr>+      <td>AUTO_SUSPEND_SECS</td>+      <td>NUMBER</td>+      <td>Number of seconds of inactivity after which the service is automatically suspended.</td>+    </tr>+    <tr>       <td>DELETED</td>       <td>TIMESTAMP_LTZ</td>@@ -142,4 +152,9 @@       <td>`true` if the service is a job service; `false` otherwise.</td>     </tr>+    <tr>+      <td>IS_ASYNC_JOB</td>+      <td>BOOLEAN</td>+      <td>`true` if the service is an asynchronous job service; `false` otherwise.</td>+    </tr>   </tbody>  

Agent identity

内容更新改訂User Guide0行追加・14行削除

(この変更は要約対象外です。diff を参照してください)

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--- ahttps://docs.snowflake.com/en/user-guide/agent-identity+++ bhttps://docs.snowflake.com/en/user-guide/agent-identity@@ -122,18 +122,4 @@ - [Join policies](/user-guide/join-policies#label-join-policy-agent-active) -## Control session privileges--By default, an agent that acts on behalf of a user inherits the privileges available in that user's-session. Agent workloads can issue many queries in a short time, so that inheritance is often broader-than the task requires.--Restricted Session Scopes (RSS) are privilege ceilings that limit what an agent session can do. The-effective permission is always the intersection of what the user's roles allow and what the RSS-permits. An RSS never grants privileges the user doesn't already have.--You can apply an RSS as an account-wide ceiling, attach it for specific users through a session-policy, or inject it during token exchange for partner-orchestrated agents. Restricted Session-Scopes for agents are in private preview. Contact your Snowflake account team for access.- ## Related topics  

Openflow Connector for Oracle: Configure the Oracle database

内容更新改訂Loading & Unloading Data10行追加・0行削除

(この変更は要約対象外です。diff を参照してください)

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--- ahttps://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/oracle/setup-oracledb+++ bhttps://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/oracle/setup-oracledb@@ -282,4 +282,10 @@   - V$DATABASE +  If you're replicating data from multiple PDBs, also grant SELECT access to:+  - V$CONTAINERS+  - V$PARAMETER+  - CDB_TABLES+  - CDB_USERS+   `ALL_INDEXES` and `ALL_IND_COLUMNS` are required so the connector can detect   unique constraints and unique indexes as replication keys when a table has no@@ -319,4 +325,8 @@ GRANT SET CONTAINER TO c##connectuser CONTAINER=ALL; ```++If you granted SELECT on individual data dictionary views instead of+SELECT_CATALOG_ROLE or SELECT ANY DICTIONARY, also grant SELECT on+`V$CONTAINERS`, `V$PARAMETER`, `CDB_TABLES`, and `CDB_USERS`.  <a id="label-create-xstream-outbound-server"></a> 

Clustering Keys & Clustered Tables

内容更新改訂User Guide6行追加・2行削除

(この変更は要約対象外です。diff を参照してください)

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--- ahttps://docs.snowflake.com/en/user-guide/tables-clustering-keys+++ bhttps://docs.snowflake.com/en/user-guide/tables-clustering-keys@@ -285,6 +285,10 @@ #### Important Usage Notes -- **Standard tables:** For each VARCHAR column in the clustering key, the current implementation of clustering uses only the first-  5 bytes.+- **Clustering key length:** The amount of each clustering key column that Snowflake uses depends on the Automatic Clustering version:++  - **Optima Clustering:** The clustering key can use up to 1 KB total across all clustering key columns.+  - **Clustering Classic:** For each column in the clustering key, Clustering Classic uses only the first 5 bytes.++  For more information about Optima Clustering and Clustering Classic, see [](/user-guide/tables-auto-reclustering#label-optima-clustering).    If the first N characters are the same for every row, or do not provide sufficient cardinality, then consider clustering on a 

Preview features

内容更新改訂Release Notes7行追加・0行削除

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--- ahttps://docs.snowflake.com/en/release-notes/preview-features+++ bhttps://docs.snowflake.com/en/release-notes/preview-features@@ -86,4 +86,11 @@     </tr>     <tr>+      <td>Intent-Driven Governance</td>+      <td>Open</td>+      <td>August 2026</td>+      <td>[](/user-guide/intent-driven-governance)</td>+      <td>Use Snowflake CoCo to assess governance controls, classify sensitive data, review proposed tags and protections, and approve generated SQL before changes are applied.</td>+    </tr>+    <tr>       <td>Automations in %sf-intelligence%</td>       <td>Open</td> 

CREATE ICEBERG TABLE (Iceberg REST catalog)

内容更新改訂SQL Commands5行追加・2行削除

(この変更は要約対象外です。diff を参照してください)

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--- ahttps://docs.snowflake.com/en/sql-reference/sql/create-iceberg-table-rest+++ bhttps://docs.snowflake.com/en/sql-reference/sql/create-iceberg-table-rest@@ -704,6 +704,9 @@   Failure to include the quotes might result in an `Object does not exist` error or   a similar type of error.-- The OR REPLACE option performs a non-atomic operation, which in this case is a DROP operation followed by CREATE,-  in your external Iceberg catalog. By default, the implicit drop does not signal the catalog to delete the replaced+- In a [catalog-linked database](/user-guide/tables-iceberg-catalog-linked-database), the `OR REPLACE` option performs a non-atomic operation,+  which in this case is a DROP operation followed by CREATE, in your external Iceberg catalog. The new table has a new `table-uuid`.+  In a standard Snowflake database (not linked to a catalog), `OR REPLACE` drops and recreates only the Snowflake table object;+  the table in the remote catalog is unchanged.+- By default, the implicit drop does not signal the catalog to delete the replaced   table's data files. Specify `PURGE` (or set `PURGE_ON_DROP_TABLE` on the table, schema, or database) to forward   the purge intent to the catalog on the implicit drop. Snowflake never deletes external data files directly — the 

SNOWPARK_CONTAINER_SERVICES_HISTORY view

内容更新改訂Account Usage6行追加・1行削除

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--- ahttps://docs.snowflake.com/en/sql-reference/account-usage/snowpark_container_services_history+++ bhttps://docs.snowflake.com/en/sql-reference/account-usage/snowpark_container_services_history@@ -48,4 +48,9 @@     </tr>     <tr>+      <td>COMPUTE_POOL_ID</td>+      <td>NUMBER</td>+      <td>Internal, Snowflake-generated identifier of the compute pool which incurred the credit usage.</td>+    </tr>+    <tr>       <td>IS_EXCLUSIVE</td>       <td>BOOLEAN</td>@@ -59,5 +64,5 @@     <tr>       <td>APPLICATION_ID</td>-      <td>VARCHAR</td>+      <td>NUMBER</td>       <td>The ID of the application for which the compute pool was created; otherwise NULL.</td>     </tr> 

Apache Iceberg™ tables

内容更新改訂User Guide3行追加・1行削除

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--- ahttps://docs.snowflake.com/en/user-guide/tables-iceberg+++ bhttps://docs.snowflake.com/en/user-guide/tables-iceberg@@ -634,4 +634,7 @@   table in your remote catalog. After that, you can use the [CREATE ICEBERG TABLE (Iceberg REST catalog)](/sql-reference/sql/create-iceberg-table-rest) syntax to create   an Iceberg table in Snowflake and write to it.+- When you use `CREATE OR REPLACE` to create an Iceberg table, behavior depends on the database type:+  - **Catalog-linked database:** Snowflake drops and recreates the table in the remote catalog. The new table has a new `table-uuid`.+  - **Standard Snowflake database (not linked to a catalog):** Snowflake drops and recreates only the Snowflake table object. The table in the remote catalog is unchanged. - For the AWS Glue Data Catalog: Dropping an externally managed table through Snowflake doesn't delete   the underlying table files. This behavior is specific to the AWS Glue Data Catalog implementation.@@ -646,5 +649,4 @@   - Conversion to Snowflake-managed tables.   - External Iceberg catalogs that don't conform to the Iceberg REST protocol.-  - Using the OR REPLACE option when creating a table.   - Using the CREATE ICEBERG TABLE (catalog-linked database) ... AS SELECT syntax if you use one of the following catalogs as your remote catalog:     - AWS Glue 

Write support for externally managed Apache Iceberg™ tables

内容更新改訂User Guide3行追加・1行削除

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--- ahttps://docs.snowflake.com/en/user-guide/tables-iceberg-externally-managed-writes+++ bhttps://docs.snowflake.com/en/user-guide/tables-iceberg-externally-managed-writes@@ -547,4 +547,7 @@   table in your remote catalog. After that, you can use the [CREATE ICEBERG TABLE (Iceberg REST catalog)](/sql-reference/sql/create-iceberg-table-rest) syntax to create   an Iceberg table in Snowflake and write to it.+- When you use `CREATE OR REPLACE` to create an Iceberg table, behavior depends on the database type:+  - **Catalog-linked database:** Snowflake drops and recreates the table in the remote catalog. The new table has a new `table-uuid`.+  - **Standard Snowflake database (not linked to a catalog):** Snowflake drops and recreates only the Snowflake table object. The table in the remote catalog is unchanged. - For the AWS Glue Data Catalog: Dropping an externally managed table through Snowflake doesn't delete   the underlying table files. This behavior is specific to the AWS Glue Data Catalog implementation.@@ -559,5 +562,4 @@   - Conversion to Snowflake-managed tables.   - External Iceberg catalogs that don't conform to the Iceberg REST protocol.-  - Using the OR REPLACE option when creating a table.   - Using the CREATE ICEBERG TABLE (catalog-linked database) ... AS SELECT syntax if you use one of the following catalogs as your remote catalog:     - AWS Glue 

軽微な更新(4 件)

Configure a catalog integration for Amazon S3 Tables

軽微な更新改訂User Guide8行追加・8行削除

(この変更は要約対象外です。diff を参照してください)

判定根拠: 書式・空白のみの変更

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--- ahttps://docs.snowflake.com/en/user-guide/tables-iceberg-configure-catalog-integration-rest-s3tables+++ bhttps://docs.snowflake.com/en/user-guide/tables-iceberg-configure-catalog-integration-rest-s3tables@@ -366,16 +366,16 @@      TABLE_FORMAT = ICEBERG      REST_CONFIG = (-    CATALOG_URI = 'https://s3tables.<region>.amazonaws.com/iceberg'-    CATALOG_API_TYPE = AWS_PRIVATE_S3TABLES-    ACCESS_DELEGATION_MODE = VENDED_CREDENTIALS-    CATALOG_NAME = 'arn:aws:s3tables:<region>:<account_id>:bucket/<table_bucket_name>'+       CATALOG_URI = 'https://s3tables.<region>.amazonaws.com/iceberg'+       CATALOG_API_TYPE = AWS_PRIVATE_S3TABLES+       ACCESS_DELEGATION_MODE = VENDED_CREDENTIALS+       CATALOG_NAME = 'arn:aws:s3tables:<region>:<account_id>:bucket/<table_bucket_name>'      )      REST_AUTHENTICATION = (-    TYPE = SIGV4-    SIGV4_IAM_ROLE = 'arn:aws:iam::<account_id>:role/<role_name>'-    SIGV4_SIGNING_REGION = '<region>'+       TYPE = SIGV4+       SIGV4_IAM_ROLE = 'arn:aws:iam::<account_id>:role/<role_name>'+       SIGV4_SIGNING_REGION = '<region>'      )      DEFAULT_STORAGE_CONFIG = (-    USE_PRIVATELINK_ENDPOINT = TRUE+       USE_PRIVATELINK_ENDPOINT = TRUE      )      ENABLED = TRUE; 

Introduction to streams

軽微な更新改訂User Guide2行追加・1行削除

(この変更は要約対象外です。diff を参照してください)

変更内容: 3行以下の小規模な更新

差分を表示
--- ahttps://docs.snowflake.com/en/user-guide/streams-intro+++ bhttps://docs.snowflake.com/en/user-guide/streams-intro@@ -659,5 +659,6 @@ The following limitations apply for streams: -- You can't use standard or append-only streams on %iceberg-tm% tables that use an external catalog. (Insert-only streams are supported.)+- You can't use standard or append-only streams on Iceberg V2 tables that use an external catalog. (Insert-only streams are supported.)+- You can't use append-only streams on Iceberg V3 tables that use an external catalog. - You can't consume append-only streams on V2 and V3 Snowflake-managed Iceberg tables if changes are introduced by external engines. - Standard (delta) streams treat changes on V2 Snowflake-managed Iceberg tables introduced by external engines as new deletions and new insertions. 

CoCo CLI Model Context Protocol (MCP) support

軽微な更新改訂Cortex Code1行追加・1行削除

(この変更は要約対象外です。diff を参照してください)

変更内容: 3行以下の小規模な更新

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--- ahttps://docs.snowflake.com/en/user-guide/cortex-code/cortex-code-mcp+++ bhttps://docs.snowflake.com/en/user-guide/cortex-code/cortex-code-mcp@@ -452,5 +452,5 @@  - Run `cortex mcp list` to confirm the server is configured.-- Make sure tool names are alphanumeric, underscore, or hyphen and shorter than 64 characters; MCP servers exposing invalid tool names are rejected.+- Make sure tool names are alphanumeric, underscore, or hyphen and 64 characters or fewer; MCP servers exposing invalid tool names are rejected. - Confirm the server is not disabled in `~/.snowflake/cortex/mcp-disabled.json`.  

Automatic Clustering

軽微な更新改訂User Guide2行追加・0行削除

(この変更は要約対象外です。diff を参照してください)

変更内容: 3行以下の小規模な更新

差分を表示
--- ahttps://docs.snowflake.com/en/user-guide/tables-auto-reclustering+++ bhttps://docs.snowflake.com/en/user-guide/tables-auto-reclustering@@ -26,4 +26,6 @@ - A smart clustering algorithm that prioritizes clustering the data that matters most for query performance. - Highly predictable billing based on data volume ingested, not compute hours. For details, see [](#label-optima-clustering-cost).+- Expanded clustering key length: Optima Clustering can use up to 1 KB total across all clustering key columns. Clustering Classic uses+  only the first 5 bytes of each clustering key column. For more information, see [](/user-guide/tables-clustering-keys).  ### Identifying Optima Clustering or Clustering Classic 

セクション別内訳

セクションSABC
User Guide00437
Loading & Unloading Data00404
Account Usage00404
Snowsight UI01001
Migrations00101
Organization Usage00101
Snowflake Cortex (AI & ML)00101
Release Notes00101
SQL Commands00101
Cortex Code00011