mirror of https://github.com/buster-so/buster.git
Merge branch 'dallin/bus-920-feature-finish-rest-of-permissions' of https://github.com/buster-so/buster into dallin/bus-920-feature-finish-rest-of-permissions
This commit is contained in:
Nate Kelley
commit
2171e3edad
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|
@ -11,7 +11,7 @@ anyhow = "1.0.86"
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arrow = { version = "54.0.0", features = ["json"] }
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async-compression = { version = "0.4.11", features = ["tokio"] }
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axum = { version = "0.7.5", features = ["ws"] }
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base64 = "0.22.1"
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base64 = "0.21"
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bb8-redis = "0.18.0"
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chrono = { version = "0.4.38", features = ["serde"] }
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cohere-rust = "0.6.0"
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|
|
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@ -8,7 +8,8 @@ use crate::{
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clients::supabase_vault::read_secret,
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query_engine::{
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credentials::{
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BigqueryCredentials, DatabricksCredentials, MySqlCredentials, PostgresCredentials, SnowflakeCredentials, SqlServerCredentials,
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BigqueryCredentials, DatabricksCredentials, MySqlCredentials, PostgresCredentials,
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SnowflakeCredentials, SqlServerCredentials,
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},
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data_source_connections::{
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get_bigquery_client::get_bigquery_client,
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@ -228,7 +229,7 @@ async fn route_to_query(
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DataSourceType::Snowflake => {
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let credentials: SnowflakeCredentials = serde_json::from_str(&credentials_string)?;
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let snowflake_client = match get_snowflake_client(&credentials).await {
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let mut snowflake_client = match get_snowflake_client(&credentials).await {
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Ok(snowflake_client) => snowflake_client,
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Err(e) => {
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tracing::error!("There was an issue while establishing a connection to the parent data source: {}", e);
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@ -1,8 +1,17 @@
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use arrow::array::Array;
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use arrow::array::{Array, AsArray};
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use indexmap::IndexMap;
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use arrow::array::{
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BooleanArray, Int8Array, Int16Array, Int32Array, Int64Array,
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UInt8Array, UInt16Array, UInt32Array, UInt64Array,
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Float32Array, Float64Array, StringArray, LargeStringArray,
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BinaryArray, LargeBinaryArray, Date32Array, Date64Array,
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TimestampNanosecondArray, Decimal128Array, Decimal256Array,
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FixedSizeBinaryArray,
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};
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use arrow::datatypes::TimeUnit;
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use anyhow::{anyhow, Error};
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use chrono::{LocalResult, TimeZone, Utc};
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use chrono::{LocalResult, TimeZone, Utc, NaiveTime};
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use snowflake_api::SnowflakeApi;
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use serde_json::Value;
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@ -10,7 +19,7 @@ use serde_json::Value;
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use crate::utils::query_engine::data_types::DataType;
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pub async fn snowflake_query(
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snowflake_client: SnowflakeApi,
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mut snowflake_client: SnowflakeApi,
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query: String,
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) -> Result<Vec<IndexMap<std::string::String, DataType>>, Error> {
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let rows = match snowflake_client.exec(&query).await {
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@ -27,51 +36,324 @@ pub async fn snowflake_query(
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.enumerate()
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.map(|(col_idx, field)| {
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let column = batch.column(col_idx);
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let value = match column.data_type() {
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arrow::datatypes::DataType::Int64 => {
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let array = column
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.as_any()
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.downcast_ref::<arrow::array::Int64Array>()
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.unwrap();
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if array.is_null(row_idx) {
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Value::Null
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} else {
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Value::Number(array.value(row_idx).into())
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let data_type = match column.data_type() {
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arrow::datatypes::DataType::Boolean => {
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let array = column.as_any().downcast_ref::<BooleanArray>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Bool(Some(array.value(row_idx))) }
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}
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arrow::datatypes::DataType::Int8 => {
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let array = column.as_any().downcast_ref::<Int8Array>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Int2(Some(array.value(row_idx) as i16)) }
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}
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arrow::datatypes::DataType::Int16 => {
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let array = column.as_any().downcast_ref::<Int16Array>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Int2(Some(array.value(row_idx))) }
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}
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arrow::datatypes::DataType::Int32 => {
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let array = column.as_any().downcast_ref::<Int32Array>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Int4(Some(array.value(row_idx))) }
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}
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arrow::datatypes::DataType::Int64 => {
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let array = column.as_any().downcast_ref::<Int64Array>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Int8(Some(array.value(row_idx))) }
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}
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arrow::datatypes::DataType::UInt8 => {
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let array = column.as_any().downcast_ref::<UInt8Array>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Int2(Some(array.value(row_idx) as i16)) }
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}
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arrow::datatypes::DataType::UInt16 => {
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let array = column.as_any().downcast_ref::<UInt16Array>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Int4(Some(array.value(row_idx) as i32)) }
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}
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arrow::datatypes::DataType::UInt32 => {
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let array = column.as_any().downcast_ref::<UInt32Array>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Int8(Some(array.value(row_idx) as i64)) }
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}
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arrow::datatypes::DataType::UInt64 => {
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let array = column.as_any().downcast_ref::<UInt64Array>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Int8(Some(array.value(row_idx) as i64)) }
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}
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arrow::datatypes::DataType::Float32 => {
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let array = column.as_any().downcast_ref::<Float32Array>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Float4(Some(array.value(row_idx))) }
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}
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arrow::datatypes::DataType::Float64 => {
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let array = column
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.as_any()
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.downcast_ref::<arrow::array::Float64Array>()
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.unwrap();
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if array.is_null(row_idx) {
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Value::Null
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} else {
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Value::Number(
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serde_json::Number::from_f64(
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array.value(row_idx),
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)
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.unwrap_or(serde_json::Number::from(0)),
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)
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}
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let array = column.as_any().downcast_ref::<Float64Array>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Float8(Some(array.value(row_idx))) }
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}
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arrow::datatypes::DataType::Utf8 => {
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let array = column
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.as_any()
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.downcast_ref::<arrow::array::StringArray>()
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.unwrap();
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if array.is_null(row_idx) {
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Value::Null
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let array = column.as_any().downcast_ref::<StringArray>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Text(Some(array.value(row_idx).to_string())) }
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}
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arrow::datatypes::DataType::LargeUtf8 => {
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let array = column.as_any().downcast_ref::<LargeStringArray>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Text(Some(array.value(row_idx).to_string())) }
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||||
}
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arrow::datatypes::DataType::Binary => {
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let array = column.as_any().downcast_ref::<BinaryArray>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Bytea(Some(array.value(row_idx).to_vec())) }
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||||
}
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arrow::datatypes::DataType::LargeBinary => {
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let array = column.as_any().downcast_ref::<LargeBinaryArray>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else { DataType::Bytea(Some(array.value(row_idx).to_vec())) }
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}
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arrow::datatypes::DataType::Date32 => {
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let array = column.as_any().downcast_ref::<Date32Array>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else {
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let days = array.value(row_idx);
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let timestamp = days as i64 * 24 * 60 * 60;
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match Utc.timestamp_opt(timestamp, 0) {
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LocalResult::Single(dt) => DataType::Date(Some(dt.date_naive())),
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_ => DataType::Null,
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}
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||||
}
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}
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arrow::datatypes::DataType::Date64 => {
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let array = column.as_any().downcast_ref::<Date64Array>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else {
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let millis = array.value(row_idx);
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let secs = millis / 1000;
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let nanos = ((millis % 1000) * 1_000_000) as u32;
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match Utc.timestamp_opt(secs, nanos) {
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LocalResult::Single(dt) => DataType::Date(Some(dt.date_naive())),
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_ => DataType::Null,
|
||||
}
|
||||
}
|
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}
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arrow::datatypes::DataType::Timestamp(unit, tz) => {
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let array = column.as_any().downcast_ref::<TimestampNanosecondArray>().unwrap();
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if array.is_null(row_idx) { DataType::Null }
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else {
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let nanos = array.value(row_idx);
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let (secs, subsec_nanos) = match unit {
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TimeUnit::Second => (nanos, 0),
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TimeUnit::Millisecond => (nanos / 1000, (nanos % 1000) * 1_000_000),
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TimeUnit::Microsecond => (nanos / 1_000_000, (nanos % 1_000_000) * 1000),
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TimeUnit::Nanosecond => (nanos / 1_000_000_000, nanos % 1_000_000_000),
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||||
};
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||||
match Utc.timestamp_opt(secs as i64, subsec_nanos as u32) {
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LocalResult::Single(dt) => match tz {
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Some(_) => DataType::Timestamptz(Some(dt)),
|
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None => DataType::Timestamp(Some(dt.naive_utc())),
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||||
},
|
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_ => DataType::Null,
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||||
}
|
||||
}
|
||||
}
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arrow::datatypes::DataType::Decimal128(precision, scale) => {
|
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let array = column.as_any().downcast_ref::<Decimal128Array>().unwrap();
|
||||
if array.is_null(row_idx) { DataType::Null }
|
||||
else {
|
||||
let val = array.value(row_idx);
|
||||
let scale_factor = 10_f64.powi(-(*scale as i32));
|
||||
let float_val = val as f64 * scale_factor;
|
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DataType::Float8(Some(float_val))
|
||||
}
|
||||
}
|
||||
arrow::datatypes::DataType::Decimal256(precision, scale) => {
|
||||
let array = column.as_any().downcast_ref::<Decimal256Array>().unwrap();
|
||||
if array.is_null(row_idx) { DataType::Null }
|
||||
else {
|
||||
let val = array.value(row_idx);
|
||||
// Convert the i256 to string first to handle large numbers
|
||||
let val_str = val.to_string();
|
||||
if let Ok(float_val) = val_str.parse::<f64>() {
|
||||
let scale_factor = 10_f64.powi(-(*scale as i32));
|
||||
DataType::Float8(Some(float_val * scale_factor))
|
||||
} else {
|
||||
Value::String(array.value(row_idx).to_string())
|
||||
DataType::Null
|
||||
}
|
||||
}
|
||||
// Add other data types as needed
|
||||
}
|
||||
arrow::datatypes::DataType::Null => DataType::Null,
|
||||
arrow::datatypes::DataType::Float16 => {
|
||||
let array = column.as_any().downcast_ref::<Float32Array>().unwrap(); // Float16 gets converted to Float32 in Arrow
|
||||
if array.is_null(row_idx) { DataType::Null }
|
||||
else { DataType::Float4(Some(array.value(row_idx))) }
|
||||
}
|
||||
arrow::datatypes::DataType::Time32(time_unit) => {
|
||||
let array = column.as_any().downcast_ref::<Int32Array>().unwrap();
|
||||
if array.is_null(row_idx) { DataType::Null }
|
||||
else {
|
||||
let val = array.value(row_idx);
|
||||
let nanos = match time_unit {
|
||||
TimeUnit::Second => val as i64 * 1_000_000_000,
|
||||
TimeUnit::Millisecond => val as i64 * 1_000_000,
|
||||
_ => val as i64,
|
||||
};
|
||||
let time = NaiveTime::from_num_seconds_from_midnight_opt(
|
||||
(nanos / 1_000_000_000) as u32,
|
||||
(nanos % 1_000_000_000) as u32,
|
||||
);
|
||||
match time {
|
||||
Some(t) => DataType::Time(Some(t)),
|
||||
None => DataType::Null,
|
||||
}
|
||||
}
|
||||
}
|
||||
arrow::datatypes::DataType::Time64(time_unit) => {
|
||||
let array = column.as_any().downcast_ref::<Int64Array>().unwrap();
|
||||
if array.is_null(row_idx) { DataType::Null }
|
||||
else {
|
||||
let val = array.value(row_idx);
|
||||
let nanos = match time_unit {
|
||||
TimeUnit::Microsecond => val * 1000,
|
||||
TimeUnit::Nanosecond => val,
|
||||
_ => val * 1_000_000_000,
|
||||
};
|
||||
let time = NaiveTime::from_num_seconds_from_midnight_opt(
|
||||
(nanos / 1_000_000_000) as u32,
|
||||
(nanos % 1_000_000_000) as u32,
|
||||
);
|
||||
match time {
|
||||
Some(t) => DataType::Time(Some(t)),
|
||||
None => DataType::Null,
|
||||
}
|
||||
}
|
||||
}
|
||||
arrow::datatypes::DataType::Duration(_) => {
|
||||
// Convert duration to milliseconds as float for consistency
|
||||
let array = column.as_any().downcast_ref::<Int64Array>().unwrap();
|
||||
if array.is_null(row_idx) { DataType::Null }
|
||||
else { DataType::Float8(Some(array.value(row_idx) as f64)) }
|
||||
}
|
||||
arrow::datatypes::DataType::Interval(_) => {
|
||||
// Convert interval to a string representation
|
||||
let array = column.as_any().downcast_ref::<Int64Array>().unwrap();
|
||||
if array.is_null(row_idx) { DataType::Null }
|
||||
else { DataType::Text(Some(array.value(row_idx).to_string())) }
|
||||
}
|
||||
arrow::datatypes::DataType::FixedSizeBinary(_) => {
|
||||
let array = column.as_any().downcast_ref::<FixedSizeBinaryArray>().unwrap();
|
||||
if array.is_null(row_idx) { DataType::Null }
|
||||
else { DataType::Bytea(Some(array.value(row_idx).to_vec())) }
|
||||
}
|
||||
arrow::datatypes::DataType::BinaryView => {
|
||||
// BinaryView is similar to Binary
|
||||
let array = column.as_any().downcast_ref::<BinaryArray>().unwrap();
|
||||
if array.is_null(row_idx) { DataType::Null }
|
||||
else { DataType::Bytea(Some(array.value(row_idx).to_vec())) }
|
||||
}
|
||||
arrow::datatypes::DataType::Utf8View => {
|
||||
// Utf8View is similar to Utf8
|
||||
let array = column.as_any().downcast_ref::<StringArray>().unwrap();
|
||||
if array.is_null(row_idx) { DataType::Null }
|
||||
else { DataType::Text(Some(array.value(row_idx).to_string())) }
|
||||
}
|
||||
arrow::datatypes::DataType::List(_) |
|
||||
arrow::datatypes::DataType::ListView(_) |
|
||||
arrow::datatypes::DataType::FixedSizeList(_, _) |
|
||||
arrow::datatypes::DataType::LargeList(_) |
|
||||
arrow::datatypes::DataType::LargeListView(_) => {
|
||||
let list_array = column.as_any().downcast_ref::<arrow::array::ListArray>().unwrap();
|
||||
if list_array.is_null(row_idx) { DataType::Null }
|
||||
else {
|
||||
let values = list_array.value(row_idx);
|
||||
let json_array = Value::Array(
|
||||
(0..values.len())
|
||||
.filter_map(|i| {
|
||||
if values.is_null(i) {
|
||||
None
|
||||
} else if let Some(num) = values.as_any().downcast_ref::<Int32Array>() {
|
||||
Some(Value::Number(num.value(i).into()))
|
||||
} else if let Some(num) = values.as_any().downcast_ref::<Int64Array>() {
|
||||
Some(Value::Number(num.value(i).into()))
|
||||
} else if let Some(str) = values.as_any().downcast_ref::<StringArray>() {
|
||||
Some(Value::String(str.value(i).to_string()))
|
||||
} else {
|
||||
None
|
||||
}
|
||||
})
|
||||
.collect()
|
||||
);
|
||||
DataType::Json(Some(json_array))
|
||||
}
|
||||
}
|
||||
arrow::datatypes::DataType::Struct(fields) => {
|
||||
let struct_array = column.as_any().downcast_ref::<arrow::array::StructArray>().unwrap();
|
||||
if struct_array.is_null(row_idx) { DataType::Null }
|
||||
else {
|
||||
let mut map = serde_json::Map::new();
|
||||
for (field, col) in fields.iter().zip(struct_array.columns().iter()) {
|
||||
let field_name = field.name();
|
||||
let value = match col.data_type() {
|
||||
arrow::datatypes::DataType::Int32 => {
|
||||
let array = col.as_any().downcast_ref::<Int32Array>().unwrap();
|
||||
if array.is_null(row_idx) { Value::Null }
|
||||
else { Value::Number(array.value(row_idx).into()) }
|
||||
}
|
||||
// Add more field types as needed
|
||||
_ => Value::Null,
|
||||
};
|
||||
(field.name().clone(), value)
|
||||
map.insert(field_name.to_string(), value);
|
||||
}
|
||||
DataType::Json(Some(Value::Object(map)))
|
||||
}
|
||||
}
|
||||
arrow::datatypes::DataType::Union(_, _) => {
|
||||
// Unions are complex - convert to string representation
|
||||
DataType::Text(Some("Union type not fully supported".to_string()))
|
||||
}
|
||||
arrow::datatypes::DataType::Dictionary(_, _) => {
|
||||
let dict_array = column.as_any().downcast_ref::<arrow::array::DictionaryArray<arrow::datatypes::Int32Type>>().unwrap();
|
||||
if dict_array.is_null(row_idx) { DataType::Null }
|
||||
else {
|
||||
let values = dict_array.values();
|
||||
match values.data_type() {
|
||||
arrow::datatypes::DataType::Utf8 => {
|
||||
let string_values = values.as_any().downcast_ref::<StringArray>().unwrap();
|
||||
let key = dict_array.keys().value(row_idx);
|
||||
DataType::Text(Some(string_values.value(key as usize).to_string()))
|
||||
}
|
||||
_ => DataType::Text(Some("Unsupported dictionary type".to_string())),
|
||||
}
|
||||
}
|
||||
}
|
||||
arrow::datatypes::DataType::Map(_, _) => {
|
||||
// Convert map to JSON object
|
||||
let map_array = column.as_map();
|
||||
if map_array.is_null(row_idx) { DataType::Null }
|
||||
else {
|
||||
let entries = map_array.value(row_idx);
|
||||
let mut json_map = serde_json::Map::new();
|
||||
// Assuming string keys and numeric values for simplicity
|
||||
for i in 0..entries.len() {
|
||||
if let (Some(key), Some(value)) = (
|
||||
entries.column(0).as_any().downcast_ref::<StringArray>().map(|arr| arr.value(i)),
|
||||
entries.column(1).as_any().downcast_ref::<Int64Array>().map(|arr| arr.value(i))
|
||||
) {
|
||||
json_map.insert(key.to_string(), Value::Number(value.into()));
|
||||
}
|
||||
}
|
||||
DataType::Json(Some(Value::Object(json_map)))
|
||||
}
|
||||
}
|
||||
arrow::datatypes::DataType::RunEndEncoded(_, _) => {
|
||||
// Convert run-length encoded data to its base type
|
||||
// This is a simplified handling
|
||||
DataType::Text(Some("Run-length encoded type not fully supported".to_string()))
|
||||
}
|
||||
};
|
||||
(field.name().clone(), data_type)
|
||||
})
|
||||
.collect::<IndexMap<String, Value>>()
|
||||
.collect::<IndexMap<String, DataType>>()
|
||||
})
|
||||
})
|
||||
.collect()
|
||||
|
|
@ -84,58 +366,12 @@ pub async fn snowflake_query(
|
|||
}
|
||||
};
|
||||
|
||||
let result = rows
|
||||
.iter()
|
||||
.map(|row| {
|
||||
row.iter()
|
||||
.map(|(key, value)| {
|
||||
(
|
||||
key.clone(),
|
||||
match value {
|
||||
Value::Null => DataType::Null,
|
||||
Value::Bool(val) => DataType::Bool(Some(val.clone())),
|
||||
Value::Number(val) => match val.as_i64() {
|
||||
Some(int_val) => DataType::Int8(Some(int_val)),
|
||||
None => match val.as_f64() {
|
||||
Some(float_val) => DataType::Float8(Some(float_val)),
|
||||
None => DataType::Null,
|
||||
},
|
||||
},
|
||||
Value::String(val) => DataType::Text(Some(val.clone())),
|
||||
Value::Array(_) => DataType::Null,
|
||||
Value::Object(val) => {
|
||||
tracing::debug!("OBJECT: {:#?}", val);
|
||||
if let (
|
||||
Some(&Value::Number(ref epoch)),
|
||||
Some(&Value::Number(ref fraction)),
|
||||
Some(&Value::Number(ref timezone)),
|
||||
) = (val.get("epoch"), val.get("fraction"), val.get("timezone"))
|
||||
{
|
||||
if let (Some(epoch), Some(fraction), Some(_)) =
|
||||
(epoch.as_i64(), fraction.as_i64(), timezone.as_i64())
|
||||
{
|
||||
match Utc.timestamp_opt(epoch, 0) {
|
||||
LocalResult::Single(dt) => {
|
||||
let nanos = fraction as u32;
|
||||
let dt = dt
|
||||
+ chrono::Duration::nanoseconds(nanos as i64);
|
||||
DataType::Timestamptz(Some(dt))
|
||||
}
|
||||
_ => DataType::Null,
|
||||
}
|
||||
} else {
|
||||
DataType::Null
|
||||
}
|
||||
} else {
|
||||
DataType::Null
|
||||
match snowflake_client.close_session().await {
|
||||
Ok(_) => (),
|
||||
Err(e) => {
|
||||
tracing::error!("There was an issue while closing the snowflake client: {}", e);
|
||||
}
|
||||
}
|
||||
},
|
||||
)
|
||||
})
|
||||
.collect::<IndexMap<String, DataType>>()
|
||||
})
|
||||
.collect::<Vec<IndexMap<String, DataType>>>();
|
||||
|
||||
Ok(result)
|
||||
Ok(rows)
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in New Issue